{"pageNumber":"1408","pageRowStart":"35175","pageSize":"25","recordCount":46730,"records":[{"id":28977,"text":"wri924133 - 1992 - Soil moisture and remotely sensed spectral data in a partial canopy cotton field at the Maricopa Agricultural Center, Pinal County, Arizona, 1988","interactions":[],"lastModifiedDate":"2012-02-02T00:08:48","indexId":"wri924133","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"1992","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"92-4133","title":"Soil moisture and remotely sensed spectral data in a partial canopy cotton field at the Maricopa Agricultural Center, Pinal County, Arizona, 1988","language":"ENGLISH","publisher":"U.S. Geological Survey ;\r\nBooks and Open-File Reports Section [distributor],","doi":"10.3133/wri924133","usgsCitation":"Owen-Joyce, S.J., 1992, Soil moisture and remotely sensed spectral data in a partial canopy cotton field at the Maricopa Agricultural Center, Pinal County, Arizona, 1988: U.S. Geological Survey Water-Resources Investigations Report 92-4133, vi, 26 p. :ill. ;28 cm., https://doi.org/10.3133/wri924133.","productDescription":"vi, 26 p. :ill. ;28 cm.","costCenters":[],"links":[{"id":159139,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/1992/4133/report-thumb.jpg"},{"id":57849,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/1992/4133/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b01e4b07f02db698757","contributors":{"authors":[{"text":"Owen-Joyce, Sandra J. 0000-0002-4400-5618 sjowen@usgs.gov","orcid":"https://orcid.org/0000-0002-4400-5618","contributorId":5215,"corporation":false,"usgs":true,"family":"Owen-Joyce","given":"Sandra","email":"sjowen@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":200721,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":54566,"text":"wdrHI911 - 1992 - Water resources data, Hawaii and other Pacific areas, water year 1991: Volume 1. Hawaii","interactions":[],"lastModifiedDate":"2026-03-24T16:07:02.16802","indexId":"wdrHI911","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"1992","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":340,"text":"Water Data Report","code":"WDR","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"HI-91-1","title":"Water resources data, Hawaii and other Pacific areas, water year 1991: Volume 1. Hawaii","docAbstract":"

Water resources data for the 1991 water year for Hawaii and other Pacific Areas consist of records of stage, discharge, and water quality of streams and springs; and water levels and water quality in wells. This report, volume 1, contains discharge records for 83 gaging stations; water quality for 16 gaging stations, 26 partial-record flow stations, and 128 wells; and water levels for 34 observation wells. Also included are 107 crest-stage partial record stations, and 6 low-flow partial-record stations. These data represent that part of the National Water Data System operated by the U.S. Geological Survey and cooperating State, Federal, and other agencies in Hawaii.

","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/wdrHI911","collaboration":"Prepared in cooperation with the State of Hawaii Department of Land and Natural Resources, Division of Water Resource Management and with other agencies","usgsCitation":"Matsuoka, I., Kunishige, V., and Lum, M., 1992, Water Resources Data, Hawaii and other Pacific Areas, Water Year 1991. Volume 1. Hawaii: U.S. Geological Survey Water Data Report HI-91-1, 282 p., https://doi.org/10.3133/wdrHI911.","productDescription":"x, 282 p.","costCenters":[],"links":[{"id":180873,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wdr/1991/hi-91-1/report-thumb.jpg"},{"id":501191,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wdr/1991/hi-91-1/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United 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\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ae4b07f02db5fba54","contributors":{"authors":[{"text":"Matsuoka, Iwao","contributorId":34966,"corporation":false,"usgs":true,"family":"Matsuoka","given":"Iwao","email":"","affiliations":[],"preferred":false,"id":250689,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kunishige, V.E.","contributorId":44980,"corporation":false,"usgs":true,"family":"Kunishige","given":"V.E.","email":"","affiliations":[],"preferred":false,"id":250690,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lum, M.G.","contributorId":86040,"corporation":false,"usgs":true,"family":"Lum","given":"M.G.","email":"","affiliations":[],"preferred":false,"id":250691,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":54646,"text":"wdrMARI911 - 1992 - Water resources data, Massachusetts and Rhode Island, water year 1991","interactions":[],"lastModifiedDate":"2025-07-24T13:36:35.553557","indexId":"wdrMARI911","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"1992","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":340,"text":"Water Data Report","code":"WDR","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"MA-RI-91-1","title":"Water resources data, Massachusetts and Rhode Island, water year 1991","docAbstract":"

Water-resources data for the 1991 water year for Massachusetts and Rhode Island consists of stage, discharge, and water quality of streams; contents of lakes and reservoirs; and ground-water levels. This report contains discharge records for 79 gaging stations, month end contents for six lakes and reservoirs, water quality for nine gaging stations, and water levels for119 observation wells. Also included are data for 58 low-flow partial-record stations. Additional water data were collected at various sites, not part of the systematic data-collection program, and are published as miscellaneous measurements. A few pertinent stations in bordering states are also included in this report. These data represent that portion of the National Water Data System operated by the U.S. Geological Survey and cooperating State and Federal agencies in Massachusetts and Rhode Island.

","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/wdrMARI911","collaboration":"This report was prepared in cooperation with the States of Massachusetts and Rhode Island and with other agencies.","usgsCitation":"Gadoury, R.A., Socolow, R., and Ramsbey, L., 1992, Water resources data, Massachusetts and Rhode Island, water year 1991: U.S. Geological Survey Water Data Report MA-RI-91-1, xvi, 247 p., https://doi.org/10.3133/wdrMARI911.","productDescription":"xvi, 247 p.","costCenters":[],"links":[{"id":178201,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wdr/1991/mari-91-1/report-thumb.jpg"},{"id":492734,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wdr/1991/mari-91-1/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Massachusetts, Rhode Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -73.61942990666182,\n 42.90282170145497\n ],\n [\n -73.61942990666182,\n 41.086508397370466\n ],\n [\n -69.6441324266006,\n 41.086508397370466\n ],\n [\n -69.6441324266006,\n 42.90282170145497\n ],\n [\n -73.61942990666182,\n 42.90282170145497\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ae4b07f02db5fb6b1","contributors":{"authors":[{"text":"Gadoury, R. A.","contributorId":26334,"corporation":false,"usgs":true,"family":"Gadoury","given":"R.","middleInitial":"A.","affiliations":[],"preferred":false,"id":251020,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Socolow, R.S.","contributorId":17639,"corporation":false,"usgs":true,"family":"Socolow","given":"R.S.","affiliations":[],"preferred":false,"id":251019,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ramsbey, L.R.","contributorId":78393,"corporation":false,"usgs":true,"family":"Ramsbey","given":"L.R.","email":"","affiliations":[],"preferred":false,"id":251021,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":54553,"text":"wdrGA911 - 1992 - Water resources data, Georgia, water year 1991","interactions":[],"lastModifiedDate":"2025-08-26T17:45:38.090035","indexId":"wdrGA911","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"1992","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":340,"text":"Water Data Report","code":"WDR","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"GA-91-1","title":"Water resources data, Georgia, water year 1991","docAbstract":"

Water resources data for the 1991 water year for Georgia consists of records of stage, discharge, and water quality of streams; stage and contents of lakes and reservoirs; ground-water levels; and precipitation quality. This report contains discharge records of 114 gaging stations; stage for 28 gaging stations; stage and contents for 18 lakes and reservoirs; water quality for 138 continuing-record stations; water quality for 1 miscellaneous site; peak stage and discharge only for 97 crest-stage partial-record stations and 8 miscellaneous sites; water levels of 25 observation wells. These data represent that part of the National Water Data System collected by the U.S. Geological Survey and cooperating State and Federal agencies in Georgia.

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D. 0000-0002-7509-7332","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":93069,"corporation":false,"usgs":false,"family":"Dettinger","given":"M.","middleInitial":"D.","affiliations":[{"id":16196,"text":"Scripps Institution of Oceanography, La Jolla, CA","active":true,"usgs":false}],"preferred":false,"id":183248,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":54724,"text":"wdrMS911 - 1992 - Water resources data, Mississippi, water year 1991","interactions":[],"lastModifiedDate":"2025-08-26T16:19:26.362815","indexId":"wdrMS911","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"1992","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":340,"text":"Water Data Report","code":"WDR","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"MS-91-1","title":"Water resources data, Mississippi, water year 1991","docAbstract":"

Water resources data for the 1991 water year for Mississippi consist of records of stage, discharge, and water quality of streams; stage, and water quality of lakes and reservoirs; and water levels and water quality of ground-water wells. This report contains records of water discharge at 80 gaging stations; stage records for 19 of these gaging stations; stage only at 6 gaging stations; water quality for 22 streamflow gaging stations, 2 ungaged stream sites, 149 wells and 5 precipitation quality stations; and water levels for 241 observation wells. Also included are peak-discharge data for 55 crest-stage partial-record stations, and discharge data at 7 flood hydrograph partial-record stations, and water quality data at 8 partial-record or miscellaneous sites and 59 short-term study sites. Locations of these sites are shown on Figures 4-6. Additional water data were collected at various sites, not part of the systematic data collection program, and are published as miscellaneous measurements. These data represent that part of the National Water Data System operated by the U.S. Geological Survey and cooperating State and Federal agencies in Mississippi.

","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/wdrMS911","collaboration":"Prepared in cooperation with the Mississippi Department of Environmental Quality and with other State, county, municipal, and Federal agencies","usgsCitation":"Plunkett, M., Morris, F., and Oakley, W.T., 1992, Water resources data, Mississippi, water year 1991: U.S. Geological Survey Water Data Report MS-91-1, viii, 405 p., https://doi.org/10.3133/wdrMS911.","productDescription":"viii, 405 p.","costCenters":[],"links":[{"id":494914,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wdr/1991/ms-91-1/report.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":181096,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wdr/1991/ms-91-1/report-thumb.jpg"}],"country":"United 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\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae0e4b07f02db687fdb","contributors":{"authors":[{"text":"Plunkett, M.L.","contributorId":82368,"corporation":false,"usgs":true,"family":"Plunkett","given":"M.L.","email":"","affiliations":[],"preferred":false,"id":251310,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morris, F.","contributorId":17299,"corporation":false,"usgs":true,"family":"Morris","given":"F.","affiliations":[],"preferred":false,"id":251308,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oakley, W. T.","contributorId":76331,"corporation":false,"usgs":true,"family":"Oakley","given":"W.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":251309,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":17195,"text":"ofr92248 - 1992 - Grade and tonnage data for Climax Mo and Creede epithermal vein deposit models","interactions":[],"lastModifiedDate":"2018-10-22T18:12:41","indexId":"ofr92248","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"1992","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":"92-248","title":"Grade and tonnage data for Climax Mo and Creede epithermal vein deposit models","language":"ENGLISH","publisher":"U.S. Dept. of the Interior, Geological Survey,","doi":"10.3133/ofr92248","usgsCitation":"Singer, D., and Mosier, D.L., 1992, Grade and tonnage data for Climax Mo and Creede epithermal vein deposit models: U.S. Geological Survey Open-File Report 92-248, 5 p. ;28 cm., https://doi.org/10.3133/ofr92248.","productDescription":"5 p. ;28 cm.","costCenters":[],"links":[{"id":149969,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":1059,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/1992/ofr-92-0248/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abde4b07f02db673f6d","contributors":{"editors":[{"text":"Menzie, W. David","contributorId":93330,"corporation":false,"usgs":true,"family":"Menzie","given":"W.","email":"","middleInitial":"David","affiliations":[],"preferred":false,"id":749259,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Singer, D.A.","contributorId":69128,"corporation":false,"usgs":true,"family":"Singer","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":175348,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mosier, Dan L.","contributorId":42593,"corporation":false,"usgs":true,"family":"Mosier","given":"Dan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":175347,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70204062,"text":"70204062 - 1992 - A geographic information systems technique for monitoring contaminants in Galveston Bay, Texas","interactions":[],"lastModifiedDate":"2019-07-01T14:15:50","indexId":"70204062","displayToPublicDate":"1992-12-31T13:58:38","publicationYear":"1992","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"A geographic information systems technique for monitoring contaminants in Galveston Bay, Texas","docAbstract":"

A geographic information system (GIS) was used to compile a series of databases containing details concerning metal contamination and pollution sources to study their impacts on the Galveston Bay (TX) ecosystem. Using these databases, a series of maps with various overlays was created with ARC/INFO software. These maps allowed patterns of spatial distribution of numerous variables to be easily visualized so that the impacts of urbanization and industrialization on the natural resources could be examined. Resource managers can use these capabilities in their comprehensive plans for managing individual activities within an overall regulatory framework. The visual displays and cartographic output of the system can be used to locate and identify ecologically sensitive areas and to study trends in these areas over time. These vector GIS techniques have the potential to be more integrated with aerial photography and other remotely sensed data for a more extensive overview of the environment and patterns of interaction

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Needs and Solutions for Pollution Monitoring, Control, and Abatement: Proceedings of the First Thematic Conference on Remote Sensing for Marine and Coastal Environments","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"First Thematic Conference on Remote Sensing for Marine and Coastal Environments","conferenceDate":"15-17 June 1992","conferenceLocation":"New Orleans, Louisiana, USA","language":"English","publisher":"International Society for Optical Engineering","usgsCitation":"McNiff, M., Roscigno, P., and Ji, W., 1992, A geographic information systems technique for monitoring contaminants in Galveston Bay, Texas, in Needs and Solutions for Pollution Monitoring, Control, and Abatement: Proceedings of the First Thematic Conference on Remote Sensing for Marine and Coastal Environments, v. 1930, New Orleans, Louisiana, USA, 15-17 June 1992, p. 405-415.","productDescription":"11 p.","startPage":"405","endPage":"415","costCenters":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":365255,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","city":"Galveston","otherGeospatial":"Galveston Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.47143554687499,\n 29.518500480769\n ],\n [\n -94.46182250976562,\n 29.55315050898206\n ],\n [\n -94.49478149414061,\n 29.568679425235135\n ],\n [\n -94.51126098632811,\n 29.554345125748267\n ],\n [\n -94.55245971679688,\n 29.581817412664453\n ],\n [\n -94.65545654296875,\n 29.554345125748267\n ],\n [\n -94.76394653320312,\n 29.532839863453397\n ],\n [\n -94.73236083984375,\n 29.56509604105945\n ],\n [\n -94.6856689453125,\n 29.676121784724305\n ],\n [\n -94.68704223632812,\n 29.732185003867347\n ],\n [\n -94.69253540039062,\n 29.758416604879724\n ],\n [\n -94.63897705078125,\n 29.794175906436607\n ],\n [\n -94.66644287109374,\n 29.837070205715218\n ],\n [\n -94.67468261718749,\n 29.909710176270305\n ],\n [\n -94.82025146484375,\n 29.888280933159265\n ],\n [\n -94.85183715820312,\n 29.80132623415949\n ],\n [\n -94.86831665039062,\n 29.7453016622136\n ],\n [\n -94.90402221679688,\n 29.69640358280457\n ],\n [\n -94.98641967773436,\n 29.770337790828144\n ],\n [\n -95.05783081054688,\n 29.852555290064018\n ],\n [\n -95.13336181640625,\n 29.846599772557077\n ],\n [\n -95.18280029296875,\n 29.728607435707488\n ],\n [\n -95.086669921875,\n 29.692824739380754\n ],\n [\n -95.0372314453125,\n 29.668962525992505\n ],\n [\n -95.0262451171875,\n 29.624802504907223\n ],\n [\n -95.0262451171875,\n 29.588982866961384\n ],\n [\n -95.09490966796875,\n 29.596147812456916\n ],\n [\n -95.130615234375,\n 29.506549442788593\n ],\n [\n -95.06881713867188,\n 29.493401671428565\n ],\n [\n -94.97131347656249,\n 29.48742484748479\n ],\n [\n -95.03036499023438,\n 29.44677309638942\n ],\n [\n -94.96307373046874,\n 29.388158098102554\n ],\n [\n -94.91363525390625,\n 29.388158098102554\n ],\n [\n -95.12374877929688,\n 29.220500620041914\n ],\n [\n -95.22262573242188,\n 29.255252272863007\n ],\n [\n -95.24185180664062,\n 29.243270277106987\n ],\n [\n -95.17181396484375,\n 29.161755515328824\n ],\n [\n -95.23086547851562,\n 29.10897615145302\n ],\n [\n -95.25833129882812,\n 28.985318600853358\n ],\n [\n -95.13748168945312,\n 29.06337217585223\n ],\n [\n -94.7515869140625,\n 29.32352283965925\n ],\n [\n -94.72961425781249,\n 29.378585092502497\n ],\n [\n -94.69802856445311,\n 29.424048845483828\n ],\n [\n -94.47143554687499,\n 29.518500480769\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"1930","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McNiff, Marcia 0000-0003-0709-6992 mmcniff@usgs.gov","orcid":"https://orcid.org/0000-0003-0709-6992","contributorId":4025,"corporation":false,"usgs":true,"family":"McNiff","given":"Marcia","email":"mmcniff@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":765352,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roscigno, P.F.","contributorId":67628,"corporation":false,"usgs":true,"family":"Roscigno","given":"P.F.","affiliations":[],"preferred":false,"id":765353,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ji, W.","contributorId":40381,"corporation":false,"usgs":true,"family":"Ji","given":"W.","email":"","affiliations":[],"preferred":false,"id":765354,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70197490,"text":"70197490 - 1992 - Remote sensing studies of the geomorphology of Surtsey, 1987-1991","interactions":[],"lastModifiedDate":"2018-06-07T12:33:04","indexId":"70197490","displayToPublicDate":"1992-12-31T00:00:00","publicationYear":"1992","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"seriesTitle":{"id":5707,"text":"Surtsey Research Progress Report","active":true,"publicationSubtype":{"id":9}},"title":" Remote sensing studies of the geomorphology of Surtsey, 1987-1991","docAbstract":"

The volcanic island of Surtsey, formed by explosive submarine and effusive subaerial eruptions between November 1963 and June 1967, consists of a complex combination of primary and redeposited tephra and alkaline olivine basalt lava flows in a 2.5 km2 area (Thorarinsson, 1967; Thorarinsson et al., 1964; Fridriksson, 1975). During the past 24 years, wave and wind erosion of this subaerial mid-ocean ridge (MOR) vent complex have modified Surtsey's coastal morphology, including the deposition of a 0.5 km-long northern peninsula (ness) composed of tephra and rounded lava fragments derived from the southern half of the island. Detailed geomorphologic and sedimentologic mapping of the various surface units now present on Surtsey has been accomplished throughout the history of the evolving island, most recently by Calles et al. (1980) and Ingolfsson (1980). On the basis of these studies, an effort to quantify the topographic characteristics of the primary geomorphic units on the island was initiated by the National Aeronautics and Space Administration (NASA) and the United States Geological Survey (USGS) in 1987. The objective has been to directly measure the microtopographic properties of the widest range of surface types possible, with special emphasis on the pristine or dynamic types. While large-scale topographic maps of Surtsey were prepared in 1968 and 1975 (Norrman, 1980; Norrman and Erlingsson, 1991; Calles et al, 1980), and geodetic leveling surveys have been carried out (Moore, 1980), there have been no recent attempts to geodetically determine the local topography of the island. Because of the rapid rates of geomorphic processes, such as erosion and deposition, on a small, geologically isolated volcanic island such as Surtsey, it is desirable to determine the meter-scale topographic character of its surface units and landforms, and later a remeasurement of the same surfaces to further quantify volumetric change, subsidence, and process rates. In addition, precise measurements of sub-meter-scale topography of pristine geologic surfaces provides necessary data for the investigation of whether various geologic processes demonstrate fractal or self-affine behavior at a range of length-scales within the interval 0.1 in to 1 km. Thus Surtsey offers a unique opportunity to apply new remote sensing techniques to the measurement of the evolving surface \"roughness\" characteristics of pristine geologic surfaces within an historically well-monitored environment.

","language":"English","publisher":"The Surtsey Research Society","publisherLocation":"Reykjavik, Iceland","usgsCitation":"Garvin, J.B., and Williams, R.S., 1992, Remote sensing studies of the geomorphology of Surtsey, 1987-1991: Surtsey Research Progress Report, v. 10, 15 p.","productDescription":"15 p.","startPage":"57","endPage":"71","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":354822,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":354821,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.surtsey.is/pp_ens/report/report_X.htm"}],"volume":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c111fdae4b034bf6a81b5d7","contributors":{"authors":[{"text":"Garvin, James B.","contributorId":22112,"corporation":false,"usgs":false,"family":"Garvin","given":"James","email":"","middleInitial":"B.","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":737431,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, R. S. Jr.","contributorId":95408,"corporation":false,"usgs":true,"family":"Williams","given":"R.","suffix":"Jr.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":737432,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70194864,"text":"70194864 - 1992 - Interoceanic variation in the rare earth, major, and trace element depositional chemistry of chert: Perspectives gained from the DSDP and ODP record","interactions":[],"lastModifiedDate":"2018-01-24T09:45:10","indexId":"70194864","displayToPublicDate":"1992-12-31T00:00:00","publicationYear":"1992","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Interoceanic variation in the rare earth, major, and trace element depositional chemistry of chert: Perspectives gained from the DSDP and ODP record","docAbstract":"

Rare earth element (REE), major, and trace element abundances and relative fractionations in forty nodular cherts sampled by the Deep Sea Drilling Project (DSDP) and Ocean Drilling Program (ODP) indicate that the REE composition of chert records the interplay between terrigenous sources and scavenging from the local seawater. Major and (non-REE) trace element ratios indicate that the aluminosilicate fraction within the chert is similar to NASC (North American Shale Composite), with average Pacific chert including ~7% NASC-like particles, Indian chert ~ 11% NASC, Atlantic chert ~ 17% NASC, and southern high latitude (SHL) chert 53% NASC. Using La as a proxy for ∑REE, approximations of Laex (the amount of La in excess of that supplied by the detrital aluminosilicate fraction) indicate that Pacific chert contains the greatest Laex (85% of Latotal) and SHL chert the least (38% of Latotal). As shown by interelement associations, this Laex is most likely an adsorbed component onto aluminosilicate and phosphatic phases.

Accordingly, chert from the large Pacific Ocean, where deposition occurs relatively removed from significant terrigenous input, records a depositional REE signal dominated by adsorption of dissolved REEs from seawater. Pacific chert CeCe*⪡ 1 and LanYbn ~ 0.8-1, resulting from adsorption of local Ce-depleted seawater and preferential adsorption of LREEs from seawater (e.g., LanYbn ~ 0.4), which increases the LanYbn ratio recorded in chert. Chert from the Atlantic basin, a moderately sized ocean basin lined by passive margins and with more terrigenous input than the Pacific, records a mix of adsorptive and terrigenous REE signals, with moderately negative Ce anomalies and LanYbn\">LanYbn ratios intermediate to those of the Pacific and those of terrigenous input. Chert from the SHL region is dominated by the large terrigenous input on the Antarctic passive margin, with inherited CeCe*~1\">CeCe*~1 and inherited LanYbn\">LanYbn values of ~1.2–1.4.CeCe*\">~1.2–1.4.CeCe* does not vary with age, either throughout the entire data base or within a particular basin. Overall, CeCe*\">CeCe* does not correlate with P2O5 concentrations, even though phosphatic phases may be an important REE carrier.

This and previous studies of the large-scale controlling parameters of sedimentary REEs across ocean basins collectively indicate that REE indices of depositional regime (e.g., CeCe*\">CeCe*, LanYbn\">LanYbn, Laex) are reproducible in a variety of sediment and rock lithologies, ages, and ocean basins, and present a coherent tool for paleoceanographic and tectonic basin reconstructions.

","language":"English","publisher":"Elsevier Ltd","doi":"10.1016/0016-7037(92)90319-E","usgsCitation":"Murray, R., Buchholtz ten Brink, M.R., Gerlach, D.C., Russ, G.P., and Jones, D.L., 1992, Interoceanic variation in the rare earth, major, and trace element depositional chemistry of chert: Perspectives gained from the DSDP and ODP record: Geochimica et Cosmochimica Acta, v. 56, no. 5, p. 1897-1913, https://doi.org/10.1016/0016-7037(92)90319-E.","productDescription":"17 p.","startPage":"1897","endPage":"1913","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":350563,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"56","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a69a970e4b06e28e9c81b63","contributors":{"authors":[{"text":"Murray, R.W.","contributorId":6196,"corporation":false,"usgs":true,"family":"Murray","given":"R.W.","email":"","affiliations":[],"preferred":false,"id":725699,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buchholtz ten Brink, Marilyn R.","contributorId":88021,"corporation":false,"usgs":true,"family":"Buchholtz ten Brink","given":"Marilyn","email":"","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":725700,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gerlach, David C.","contributorId":138786,"corporation":false,"usgs":false,"family":"Gerlach","given":"David","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":725701,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Russ, G. Price","contributorId":138787,"corporation":false,"usgs":false,"family":"Russ","given":"G.","email":"","middleInitial":"Price","affiliations":[],"preferred":false,"id":725702,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jones, David L.","contributorId":61925,"corporation":false,"usgs":true,"family":"Jones","given":"David","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":725703,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70185759,"text":"70185759 - 1992 - Deposition of aerially applied BT in an oak forest and its prediction with the FSCBG model","interactions":[],"lastModifiedDate":"2019-03-07T07:26:47","indexId":"70185759","displayToPublicDate":"1992-12-01T00:00:00","publicationYear":"1992","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2168,"text":"Journal of Applied Meteorology","active":true,"publicationSubtype":{"id":10}},"title":"Deposition of aerially applied BT in an oak forest and its prediction with the FSCBG model","docAbstract":"

Data are provided from 17 single-swath aerial spray trials that were conducted over a fully leafed, 16-m tall, mixed oak forest. The distribution of cross-swath spray deposits was sampled at the top of the canopy and below the canopy. Micrometeorological conditions were measured above and within the canopy during the spray trials. The USDA Forest Service FSCBG (Forest Service-Cramer-Barry-Grim) model was run to predict the target sampler catch for each trial using forest stand, airplane-application-equipment configuration, and micrometeorological conditions as inputs. Observations showed an average cross-swath deposition of 100 IU cm−2 with large run-to-run variability in deposition patterns, magnitudes, and drift. Eleven percent of the spray material that reached the top of the canopy penetrated through the tree canopy to the forest floor.

The FSCBG predictions of the ensemble-averaged deposition were within 17% of the measured deposition at the canopy top and within 8% on the ground beneath the canopy. Run-to-run deposit predictions by FSCBG were considerably less variable than the measured deposits. Individual run predictions were much less accurate than the ensemble-averaged predictions as demonstrated by an average root-mean-square-error (rmse) of 27.9 IU CM−2 at the top of the canopy. Comparisons of the differences between predicted and observed deposits indicated that the model accuracy was sensitive to atmospheric stability conditions. In neutral and stable conditions, a regular pattern of error was indicated by overprediction of the canopy-top deposit at distances from 0 to 20 m downwind from the flight line and underprediction of the deposit both farther downwind than 20 m and upwind of the flight line. In unstable conditions the model generally underpredicted the deposit downwind from the flight line, but showed no regular pattern of error.

","language":"English","publisher":"American Meteorological Society ","doi":"10.1175/1520-0450(1992)031<1457:DOAABI>2.0.CO;2","usgsCitation":"Anderson, D.E., Miller, D.R., Wang, Y., Yendol, W.G., Mierzejewski, K., and McManus, M.L., 1992, Deposition of aerially applied BT in an oak forest and its prediction with the FSCBG model: Journal of Applied Meteorology, v. 31, p. 1457-1466, https://doi.org/10.1175/1520-0450(1992)031<1457:DOAABI>2.0.CO;2.","productDescription":"10 p. ","startPage":"1457","endPage":"1466","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":479562,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/1520-0450(1992)031<1457:doaabi>2.0.co;2","text":"Publisher Index Page"},{"id":338506,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","noUsgsAuthors":true,"publicationStatus":"PW","scienceBaseUri":"58db7639e4b0ee37af29e4ec","contributors":{"authors":[{"text":"Anderson, Dean E. deander@usgs.gov","contributorId":662,"corporation":false,"usgs":true,"family":"Anderson","given":"Dean","email":"deander@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":686684,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, David R.","contributorId":189614,"corporation":false,"usgs":false,"family":"Miller","given":"David","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":686685,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wang, Yansen","contributorId":189613,"corporation":false,"usgs":false,"family":"Wang","given":"Yansen","email":"","affiliations":[],"preferred":false,"id":686686,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yendol, William G.","contributorId":189987,"corporation":false,"usgs":false,"family":"Yendol","given":"William","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":686687,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mierzejewski, Karl","contributorId":189988,"corporation":false,"usgs":false,"family":"Mierzejewski","given":"Karl","email":"","affiliations":[],"preferred":false,"id":686688,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McManus, Michael L.","contributorId":189612,"corporation":false,"usgs":false,"family":"McManus","given":"Michael","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":686689,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70243225,"text":"70243225 - 1992 - Analytical comparison of geomagnetic total field between Sino-US stations","interactions":[],"lastModifiedDate":"2023-05-04T13:07:06.398021","indexId":"70243225","displayToPublicDate":"1992-11-01T07:52:19","publicationYear":"1992","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":646,"text":"Acta Seismologica Sinica","active":true,"publicationSubtype":{"id":10}},"title":"Analytical comparison of geomagnetic total field between Sino-US stations","docAbstract":"

Using observational data of geomagnetic total intensity from 13 stations in the Beijing-Tianjin region, 3 stations in the western Yunnan region of China, and 6 stations in California of U. S. A., the daily variations and their spectra of geomagnetic total intensity were analyzed and compared. The results show that the morphology, the range and spectrum of daily variations in geomagnetic total intensity are basically the same within the local extent of 100–200 km and are different in the large extent of 500 km. The latitude factor of the daily variation range of geomagnetic total intensity is about 1–2 nT/degree within the latitude extent of 25°–40°.

","language":"English","publisher":"Springer","doi":"10.1007/BF02651028","usgsCitation":"Zhan, Z., Yao, F., Johnston, M., Mueller, R., and Gao, J., 1992, Analytical comparison of geomagnetic total field between Sino-US stations: Acta Seismologica Sinica, v. 5, p. 807-813, https://doi.org/10.1007/BF02651028.","productDescription":"7 p.","startPage":"807","endPage":"813","costCenters":[],"links":[{"id":416710,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China, United States","state":"Beijing-Tianjin, California, Yunnan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -124.2581438860185,\n 42.006959756607756\n ],\n [\n -124.4150988288576,\n 41.70657545311303\n ],\n [\n -124.18164924397638,\n 41.44326010924826\n ],\n [\n -124.283539775718,\n 41.10151211677581\n ],\n [\n -124.30187421690624,\n 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Zhijia","contributorId":304752,"corporation":false,"usgs":false,"family":"Zhan","given":"Zhijia","email":"","affiliations":[],"preferred":false,"id":871546,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yao, Fuxin","contributorId":304753,"corporation":false,"usgs":false,"family":"Yao","given":"Fuxin","email":"","affiliations":[],"preferred":false,"id":871547,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnston, M.","contributorId":88091,"corporation":false,"usgs":true,"family":"Johnston","given":"M.","email":"","affiliations":[],"preferred":false,"id":871548,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mueller, R.","contributorId":23398,"corporation":false,"usgs":true,"family":"Mueller","given":"R.","email":"","affiliations":[],"preferred":false,"id":871549,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gao, Jintian","contributorId":304754,"corporation":false,"usgs":false,"family":"Gao","given":"Jintian","email":"","affiliations":[],"preferred":false,"id":871550,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70201390,"text":"70201390 - 1992 - Enhanced visualization for the interpretation of Magellan radar data: Supplement to the Magellan special issue","interactions":[],"lastModifiedDate":"2018-12-12T11:45:29","indexId":"70201390","displayToPublicDate":"1992-10-25T11:44:54","publicationYear":"1992","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"Enhanced visualization for the interpretation of Magellan radar data: Supplement to the Magellan special issue","docAbstract":"

The differences of radar data from more familiar photographic images, coupled with the unique geologic characteristics of Venus's surface, can make interpretation of the standard Magellan data products difficult for both planetary scientists and nonspecialists. We describe a set of digital processing techniques for transforming individual remote‐sensing datasets in order to make the information they contain more apparent, and for combining multiple datasets of diverse resolution and information content into synthetic images that allow the viewer to explore correlations among the data. The creation of derived data products by techniques like those we describe is becoming increasingly widespread and important, both for scientific research and for use in educational and media presentations. We apply our processing techniques to Magellan synthetic aperture radar images, altimetry, and microwave emissivity measurements of four areas that exemplify some of the most important styles of geologic activity on Venus.

","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/92JE01785","usgsCitation":"Kirk, R.L., Soderblom, L.A., and Lee, E., 1992, Enhanced visualization for the interpretation of Magellan radar data: Supplement to the Magellan special issue: Journal of Geophysical Research E: Planets, v. 97, no. E10, p. 16371-16380, https://doi.org/10.1029/92JE01785.","productDescription":"10 p.","startPage":"16371","endPage":"16380","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":360206,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Venus","volume":"97","issue":"E10","noUsgsAuthors":false,"publicationDate":"2012-09-21","publicationStatus":"PW","scienceBaseUri":"5c122c5be4b034bf6a856a2b","contributors":{"authors":[{"text":"Kirk, Randolph L. 0000-0003-0842-9226 rkirk@usgs.gov","orcid":"https://orcid.org/0000-0003-0842-9226","contributorId":2765,"corporation":false,"usgs":true,"family":"Kirk","given":"Randolph","email":"rkirk@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":753939,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Soderblom, Laurence A. 0000-0002-0917-853X lsoderblom@usgs.gov","orcid":"https://orcid.org/0000-0002-0917-853X","contributorId":2721,"corporation":false,"usgs":true,"family":"Soderblom","given":"Laurence","email":"lsoderblom@usgs.gov","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":753940,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, Ella M. elee@usgs.gov","contributorId":3557,"corporation":false,"usgs":true,"family":"Lee","given":"Ella M.","email":"elee@usgs.gov","affiliations":[],"preferred":true,"id":753941,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":77,"text":"77 - 1992 - Global Land Information System (GLIS): user manual","interactions":[],"lastModifiedDate":"2014-08-04T11:13:38","indexId":"77","displayToPublicDate":"1992-10-01T11:12:34","publicationYear":"1992","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Global Land Information System (GLIS): user manual","docAbstract":"No abstract available.","language":"English","publisher":"U.S. Department of the Interior","publisherLocation":"Sioux Falls, SD","doi":"10.3133/77","usgsCitation":"EROS Data Center, 1992, Global Land Information System (GLIS): user manual, https://doi.org/10.3133/77.","costCenters":[],"links":[{"id":291590,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53e09e55e4b0beb42bdca417","contributors":{"authors":[{"text":"EROS Data Center","contributorId":127958,"corporation":true,"usgs":false,"organization":"EROS Data Center","id":527171,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70017109,"text":"70017109 - 1992 - Pliocene paleoclimatic interpretation of DSDP Site 580 (NW Pacific) using diatoms","interactions":[],"lastModifiedDate":"2024-09-30T17:48:59.506214","indexId":"70017109","displayToPublicDate":"1992-10-01T00:00:00","publicationYear":"1992","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2673,"text":"Marine Micropaleontology","active":true,"publicationSubtype":{"id":10}},"title":"Pliocene paleoclimatic interpretation of DSDP Site 580 (NW Pacific) using diatoms","docAbstract":"

High-resolution quantitative diatom data are tabulated for the early part of the late Pliocene (3.25 to 2.08 Ma) at DSDP Site 580 in the northwestern Pacific. Sample spacing averages 11 k.y. between 3.1 and 2.8 Ma, but increases to 14 to 19 k.y. prior to 3.1 Ma and after 2.8 Ma.Q-mode factor analysis of the middle Pliocene assemblage reveals four factors which explain 92.4% of the total variance of the 47 samples studied between 3.25 and 2.55 Ma. Three of the factors are closely related to modern subarctic, transitional, and subtropical elements, while the fourth factor, which is dominated by Coscinodiscus marginatus and the extinct Pliocene species Neodenticula kamtschatica, appears to correspond to a middle Pliocene precursor of the subarctic water mass.

Knowledge of the modern and generalized Pliocene paleoclimatic relationships of various diatom taxa is used to generate a paleoclimate curve (“Twt”) based on the ratio of warm-water (subtropical) to cold-water diatoms with warm-water transitional taxa (Thalassionema nitzschioides, Thalassiosira oestrupii, andCoscinodiscus radiatus) factored into the equation at an intermediate (0.5) value. The “Twt” ratios at more southerly DSDP Sites 579 and 578 are consistently higher (warmer) than those at Site 580 throughout the Pliocene, suggesting the validity of the ratio as a paleoclimatic index.

Diatom paleoclimatic data reveal a middle Pliocene (3.1 to 3.0 Ma) warm interval at Site 580 during which paleotemperatures may have exceeded maximum Holocene values by 3°–5.5°C at least three times. This middle Pliocene warm interval is also recognized by planktic foraminifers in the North Atlantic, and it appears to correspond with generalized depleted oxygen isotope values suggesting polar warming.

The diatom “Twt” curve for Site 580 compares fairly well with radiolarian and silicoflagellate paleoclimatic curves for Site 580, planktic foraminiferal sea-surface temperature estimates for the North Atlantic, and benthic oxygen isotope curves for late Pliocene, although higher resolution studies on paired samples are required to test the correspondence of these various paleoclimatic indices.

","language":"English","publisher":"Elsevier","doi":"10.1016/0377-8398(92)90007-7","usgsCitation":"Barron, J.A., 1992, Pliocene paleoclimatic interpretation of DSDP Site 580 (NW Pacific) using diatoms: Marine Micropaleontology, v. 20, no. 1, p. 23-44, https://doi.org/10.1016/0377-8398(92)90007-7.","productDescription":"22 p.","startPage":"23","endPage":"44","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":224869,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a7c71e4b0c8380cd799b1","contributors":{"authors":[{"text":"Barron, John A.","contributorId":116559,"corporation":false,"usgs":true,"family":"Barron","given":"John","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":375434,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70127051,"text":"70127051 - 1992 - Wildlife species richness in shelterbelts: test of a habitat model","interactions":[],"lastModifiedDate":"2017-08-15T16:20:12","indexId":"70127051","displayToPublicDate":"1992-09-01T14:06:00","publicationYear":"1992","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Wildlife species richness in shelterbelts: test of a habitat model","docAbstract":"

Shelterbelts are human-made habitats consisting of rows of shrubs and trees planted either in fields or on the windward side of farmstead dwellings. Shelterbelts provide wooded habitat for a large variety of birds and other wildlife. A model to predict wildlife species richness in shelterbelts (Schroeder 1986) was published as part of the U.S. Fish and Wildlife Service Habitat Suitability Index (HSI) model series (Schamberger et al. 1982). HSI models have been used extensively by wildlife managers and land use planners to assess habitat quality. Several HSI models have become the focus of a test program that includes analysis of field data for corroboration, refutation, or modification of model hypotheses. Previous tests of HSI models focused either on single species (e.g., Cook and Irwin 1985, Morton et al. 1989, Schroeder 1990) or examined portions of HSI models, such as the relationship between cavity abundance and tree diameter (Allen and Corn 1990). The shelterbelt model, however, assesses habitat value at the community level. The effects of habitat characteristics, area, and perimeter on diversity and abundance of bird and mammal species in shelterbelts were first studied by Yahner (1983a, b). Johnson and Beck (1988) confirmed the importance of shelterbelts to wildlife and identified area, perimeter, and diversity and complexity of vegetation as key measurements of habitat quality. The shelterbelt model incorporates both specific habitat variables and larger scale parameters, such as area and configuration, to predict wildlife species richness. This shift in perspective comes at a time of increasing interest in conservation and planning beyond the species levels (e.g., Graul and Miller 1984, Hutto et al. 1987, Schroeder 1987: 26).

We report results of a 3-year study of spatial and vegetative parameters and their relationship to breeding bird species richness (BSR) in 34 Kansas shelterbelts. Our objectives were to test the hypothesis presented in the original shelterbelt model (Schroeder 1986) that species richness can be predicted by shelterbelt characteristics and to investigate alternative models for predicting BSR in shelterbelts.

","language":"English","publisher":"Wildlife Society","publisherLocation":"Bethesda, MD","usgsCitation":"Schroeder, R.L., Cable, T.T., and Haire, S., 1992, Wildlife species richness in shelterbelts: test of a habitat model: Wildlife Society Bulletin, v. 20, no. 3, p. 264-273.","productDescription":"10 p.","startPage":"264","endPage":"273","costCenters":[],"links":[{"id":294551,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas","county":"Pawnee County, Stafford County","otherGeospatial":"Great Bend Prairie, Great Plains","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-99.0332,38.3484],[-99.032,38.2619],[-98.9136,38.2614],[-98.4816,38.2603],[-98.4734,38.2603],[-98.4746,38.2286],[-98.474,38.2145],[-98.474,38.1737],[-98.4734,38.1184],[-98.4734,38.103],[-98.4735,38.0677],[-98.4718,37.8256],[-99.0137,37.8264],[-99.0224,37.8268],[-99.0225,38.0008],[-99.3496,38.0008],[-99.3494,38.0874],[-99.5687,38.0875],[-99.5701,38.2611],[-99.5847,38.2614],[-99.5854,38.3489],[-99.0332,38.3484]]]},\"properties\":{\"name\":\"Pawnee\",\"state\":\"KS\"}}]}","volume":"20","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54252edfe4b0e641df8a723c","contributors":{"authors":[{"text":"Schroeder, Richard L.","contributorId":10368,"corporation":false,"usgs":true,"family":"Schroeder","given":"Richard","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":502287,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cable, Ted T.","contributorId":54524,"corporation":false,"usgs":true,"family":"Cable","given":"Ted","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":502288,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haire, Sandra L.","contributorId":65556,"corporation":false,"usgs":true,"family":"Haire","given":"Sandra L.","affiliations":[],"preferred":false,"id":502289,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70201391,"text":"70201391 - 1992 - The geology and distribution of impact craters on Venus: What are they telling us?","interactions":[],"lastModifiedDate":"2018-12-12T11:52:59","indexId":"70201391","displayToPublicDate":"1992-08-25T11:52:35","publicationYear":"1992","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"The geology and distribution of impact craters on Venus: What are they telling us?","docAbstract":"

Magellan has revealed an ensemble of impact craters on Venus that is unique in many important ways. We have compiled a data base describing the 842 craters on 89% of Venus' surface mapped through orbit 2578. (The craters range in diameter from 1.5 to 280 km.) We have studied the distribution, size‐density, morphology, geology, and associated surface properties of these craters both in the aggregate and, for some craters, in greater detail. We find that (1) the spatial distribution of craters is highly uniform; (2) the size‐density distribution of large craters (diameters ≥35 km) is similar to the young crater populations on other terrestrial planets but at a much lower density that indicates an average age of only about 0.5 Ga (based on the estimated population of Venus‐crossing asteroids); (3) unlike the case on other planets, the density of small craters (diameters ≤35 km) declines rapidly with decreasing diameters because of atmospheric filtering; (4) the spectrum of crater modification differs greatly from that on other planets: 62% of all craters are pristine, only 4% are embayed by lavas, and the remainder are affected by tectonism, but none are severely and progressively depleted (as extrapolated from the size‐density distribution of larger craters); (5) large craters have a progression of morphologies generally similar to those on other planets, but small craters are typically irregular or multiple rather than bowl shaped; (6) diffuse radar‐bright or ‐dark features surround some craters, and 367 similar diffuse “splotches” with no central crater are observed; and (7) other crater features unique to Venus include radar‐bright or ‐dark parabolic arcs opening westward and extensive outflows originating in crater ejecta. The first three of these observations are entirely unexpected. We interpret them as indicating that the planet's cratering record was erased by a global resurfacing event or events, the latest ending about 0.5 Ga, after which volcanic activity declined (but did not cease entirely). Since the last resurfacing event, a maximum of 10% of the planet has been resurfaced and only about 4% of the craters have been obliterated. Convective thermal evolution models support this interpretation (Arkani‐Hamed and Toksoz, 1984). Observations 3–7 confirm quantitatively the expectation that the dense atmosphere of Venus has strongly affected the production of craters. Large impactors have been relatively unaffected, intermediate‐sized ones have been fragmented and have produced overlapping or multiple craters, a narrow size range has produced shock‐induced “splotches” but no craters, and the smallest bodies have had no observable effect on the surface. The number of craters eliminated by the “atmospheric filter” is enormous, about 98% of the craters between 2 and 35 km in diameter that Magellan might have observed on a hypothetical airless Venus. Unique crater‐related features such as parabolas and outflow deposits demonstrate the roles of Venus' high atmospheric density and temperature in modifying the crater formation process. Finally, heavily fractured craters and lava‐embayed craters are found to have higher than average densities along the major fracture belts and rifted uplands connecting Aphrodite Terra and Atla, Beta, Themis, and Phoebe regiones. These craters thus provide physical evidence for recent volcanic and tectonic activity at a low level.

","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/92JE01246","usgsCitation":"Schaber, G.G., Strom, R., Moore, H., Soderblom, L.A., Kirk, R.L., Chadwick, D., Dawson, D., Gaddis, L., Boyce, J.M., and Russell, J.F., 1992, The geology and distribution of impact craters on Venus: What are they telling us?: Journal of Geophysical Research E: Planets, v. 97, no. E8, p. 13257-13301, https://doi.org/10.1029/92JE01246.","productDescription":"45 p.","startPage":"13257","endPage":"13301","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":360207,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Venus","volume":"97","issue":"E8","noUsgsAuthors":false,"publicationDate":"2012-09-21","publicationStatus":"PW","scienceBaseUri":"5c122c5be4b034bf6a856a31","contributors":{"authors":[{"text":"Schaber, G. G.","contributorId":68300,"corporation":false,"usgs":true,"family":"Schaber","given":"G.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":753942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Strom, R.G.","contributorId":45744,"corporation":false,"usgs":true,"family":"Strom","given":"R.G.","email":"","affiliations":[],"preferred":false,"id":753943,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moore, H. J.","contributorId":71962,"corporation":false,"usgs":true,"family":"Moore","given":"H. J.","affiliations":[],"preferred":false,"id":753944,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Soderblom, Laurence A. 0000-0002-0917-853X lsoderblom@usgs.gov","orcid":"https://orcid.org/0000-0002-0917-853X","contributorId":2721,"corporation":false,"usgs":true,"family":"Soderblom","given":"Laurence","email":"lsoderblom@usgs.gov","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":753945,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kirk, Randolph L. 0000-0003-0842-9226 rkirk@usgs.gov","orcid":"https://orcid.org/0000-0003-0842-9226","contributorId":2765,"corporation":false,"usgs":true,"family":"Kirk","given":"Randolph","email":"rkirk@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":753946,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chadwick, D.J.","contributorId":211390,"corporation":false,"usgs":false,"family":"Chadwick","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":753947,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dawson, D.D.","contributorId":31180,"corporation":false,"usgs":true,"family":"Dawson","given":"D.D.","email":"","affiliations":[],"preferred":false,"id":753948,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gaddis, Lisa R. 0000-0001-9953-5483","orcid":"https://orcid.org/0000-0001-9953-5483","contributorId":93178,"corporation":false,"usgs":true,"family":"Gaddis","given":"Lisa R.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":753949,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Boyce, J. M.","contributorId":85952,"corporation":false,"usgs":true,"family":"Boyce","given":"J.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":753950,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Russell, Joel F.","contributorId":80331,"corporation":false,"usgs":true,"family":"Russell","given":"Joel","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":753951,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70204732,"text":"70204732 - 1992 - Alternate reproductive strategies in the California gull","interactions":[],"lastModifiedDate":"2019-08-12T12:45:46","indexId":"70204732","displayToPublicDate":"1992-08-12T12:40:34","publicationYear":"1992","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1603,"text":"Evolutionary Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Alternate reproductive strategies in the California gull","docAbstract":"

We analysed 6 years of reproduction data for 176 California gulls (Larus californicus) surviving from 1980 to 1988. Using a statistical model adapted from Rao's (1958) and Tucker's (1966) generalized growth curve analysis, we reconstructed the reproductive patterns of gulls aged from 0 to 26 years. Individuals were highly consistent in following one of two patterns of reproduction. In a primary pattern employed by most gulls, individuals skipped breeding less frequently and laid larger clutches as they aged. Clutch size increased to a plateau and remained at high levels throughout remaining life. In an alternate pattern employed by a smaller subset of the sample, clutch size also increased to a plateau. However, as a result of frequent skipping of breeding and smaller clutches, this plateau was considerably lower compared to that of gulls adopting the primary reproductive pattern. Data on fledging success from 1980 and 1984 were consistent with the finding of two reproductive patterns. Gulls adopting the alternate reproductive pattern produce fewer offspring per breeding attempt but survive longer than gulls adopting the primary pattern. The frequency of gulls employing the alternate pattern will increase with age relative to gulls employing the primary pattern. The alternate pattern, and not senescence, may explain why several cross-sectional studies on seabirds report declines among the oldest breeders in measures of clutch size, egg mass, hatching success, and fledging success.

","language":"English","publisher":"Springer","doi":"10.1007/BF02270965","usgsCitation":"Pugesek, B.H., and Wood, P., 1992, Alternate reproductive strategies in the California gull: Evolutionary Ecology, v. 6, no. 4, p. 279-295, https://doi.org/10.1007/BF02270965.","productDescription":"15 p.","startPage":"279","endPage":"295","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":366483,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Bamforth Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.75576782226562,\n 41.374232293915426\n ],\n [\n -105.72486877441406,\n 41.374232293915426\n ],\n [\n -105.72486877441406,\n 41.401020532631264\n ],\n [\n -105.75576782226562,\n 41.401020532631264\n ],\n [\n -105.75576782226562,\n 41.374232293915426\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"6","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pugesek, Bruce H.","contributorId":22668,"corporation":false,"usgs":true,"family":"Pugesek","given":"Bruce","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":768234,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, P.","contributorId":37857,"corporation":false,"usgs":true,"family":"Wood","given":"P.","affiliations":[],"preferred":false,"id":768235,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70138207,"text":"70138207 - 1992 - Seismic constraints on the nature of lower crustal reflectors beneath the extending Southern Transition Zone of the Colorado Plateau, Arizona","interactions":[],"lastModifiedDate":"2015-01-15T13:03:16","indexId":"70138207","displayToPublicDate":"1992-08-10T13:15:00","publicationYear":"1992","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Seismic constraints on the nature of lower crustal reflectors beneath the extending Southern Transition Zone of the Colorado Plateau, Arizona","docAbstract":"

We determine the reflection polarity and exploit variations in P and S wave reflectivity and P wave amplitude versus offset (AVO) to constrain the origin of lower crustal reflectivity observed on new three-component seismic data recorded across the structural transition of the Colorado Plateau. The near vertical incidence reflection data were collected by Stanford University in 1989 as part of the U.S. Geological Survey Pacific to Arizona Crustal Experiment that traversed the Arizona Transition Zone of the Colorado Plateau. The results of independent waveform modeling methods are consistent with much of the lower crustal reflectivity resulting from thin, high-impedance layers. The reflection polarity of the cleanest lower crustal events is positive, which implies that these reflections result from high-velocity contrasts, and the waveform character indicates that the reflectors are probably layers less than or approximately equal to 200 m thick. The lower crustal events are generally less reflective to incident S waves than to P waves, which agrees with the predicted behavior of high-velocity mafic layering. Analysis of the P wave AVO character of lower crustal reflections demonstrates that the events maintain a constant amplitude with offset, which is most consistent with a mafic-layering model. One exception is a high-amplitude (10 dB above background) event near the base of lower crustal reflectivity which abruptly decreases in amplitude at increasing offsets. The event has a pronounced S wave response, which along with its negative AVO trend is a possible indication of the presence of fluids in the lower crust. The Arizona Transition Zone is an active but weakly extended province, which causes us to discard models of lower crustal layering resulting from shearing because of the high degree of strain required to create such layers. Instead, we favor horizontal basaltic intrusions as the primary origin of high-impedance reflectors based on (1) The fact that most xenoliths in eruptive basalts of the Transition Zone are of mafic igneous composition, (2) indications that a pulse of magmatic activity crossed the Transition Zone in the late Tertiary period, and (3) the high regional heat flow observed in the Transition Zone. The apparent presence of fluids near the base of the reflective zone may indicate a partially molten intrusion. We present a mechanism by which magma can be trapped and be induced to intrude horizontally at rheologic contrasts in extending crust.

","language":"English","publisher":"American Geophysical Union","publisherLocation":"Richmond, VA","doi":"10.1029/92JB00947","usgsCitation":"Parsons, T.E., Howie, J.M., and Thompson, G.A., 1992, Seismic constraints on the nature of lower crustal reflectors beneath the extending Southern Transition Zone of the Colorado Plateau, Arizona: Journal of Geophysical Research B: Solid Earth, v. 97, no. B9, p. 12391-12407, https://doi.org/10.1029/92JB00947.","productDescription":"17 p.","startPage":"12391","endPage":"12407","numberOfPages":"17","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":297299,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297298,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/10.1029/92JB00947/abstract"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado Plateau","volume":"97","issue":"B9","noUsgsAuthors":false,"publicationDate":"2012-09-20","publicationStatus":"PW","scienceBaseUri":"54dd2c4ee4b08de9379b371a","contributors":{"authors":[{"text":"Parsons, Thomas E. 0000-0002-0582-4338 tparsons@usgs.gov","orcid":"https://orcid.org/0000-0002-0582-4338","contributorId":2314,"corporation":false,"usgs":true,"family":"Parsons","given":"Thomas","email":"tparsons@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":538613,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Howie, John M.","contributorId":138754,"corporation":false,"usgs":false,"family":"Howie","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":538614,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, George A.","contributorId":94288,"corporation":false,"usgs":true,"family":"Thompson","given":"George","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":538615,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70185473,"text":"70185473 - 1992 - Large-scale natural gradient tracer test in sand and gravel, Cape Cod, Massachusetts: 3. Hydraulic conductivity variability and calculated macrodispersivities","interactions":[],"lastModifiedDate":"2019-03-14T06:42:49","indexId":"70185473","displayToPublicDate":"1992-08-01T00:00:00","publicationYear":"1992","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Large-scale natural gradient tracer test in sand and gravel, Cape Cod, Massachusetts: 3. Hydraulic conductivity variability and calculated macrodispersivities","docAbstract":"

Hydraulic conductivity (K) variability in a sand and gravel aquifer on Cape Cod, Massachusetts, was measured and subsequently used in stochastic transport theories to estimate macrodispersivities. Nearly 1500 K measurements were obtained by borehole flowmeter tests and permeameter analyses of cores. The geometric mean for the flowmeter tests (0.11 cm/s) is similar to that estimated from other field tests. The mean for the permeameter tests (0.035 cm/s) is significantly lower, possibly because of compaction of the cores. The variance for the flowmeter (0.24) is also greater than that for the permeameter (0.14). Geostatistical analyses applying negative exponential models with and without nuggets reveal similar spatial correlation structures for the two data sets. Estimated correlation scales range from 2.9 to 8 m in the horizontal and from 0.18 to 0.38 m in the vertical. Estimates of asymptotic longitudinal dispersivity (b.35–0.78 m) are similar in magnitude to that observed in the natural gradient tracer test (0.96 m) previously conducted at this site.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/92WR00668","usgsCitation":"Hess, K.M., Wolf, S.H., and Celia, M.A., 1992, Large-scale natural gradient tracer test in sand and gravel, Cape Cod, Massachusetts: 3. Hydraulic conductivity variability and calculated macrodispersivities: Water Resources Research, v. 28, no. 8, p. 2011-2027, https://doi.org/10.1029/92WR00668.","productDescription":"17 p. ","startPage":"2011","endPage":"2027","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":338062,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Otis Air National Guard Base ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.565185546875,\n 41.62750490530729\n ],\n [\n -70.47557830810547,\n 41.62750490530729\n ],\n [\n -70.47557830810547,\n 41.69214238294329\n ],\n [\n -70.565185546875,\n 41.69214238294329\n ],\n [\n -70.565185546875,\n 41.62750490530729\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"28","issue":"8","noUsgsAuthors":false,"publicationDate":"2010-07-09","publicationStatus":"PW","scienceBaseUri":"58d38d5fe4b0236b68f98f5a","contributors":{"authors":[{"text":"Hess, Kathryn M.","contributorId":49012,"corporation":false,"usgs":true,"family":"Hess","given":"Kathryn","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":685674,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolf, Steven H.","contributorId":189682,"corporation":false,"usgs":false,"family":"Wolf","given":"Steven","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":685675,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Celia, Michael A.","contributorId":189683,"corporation":false,"usgs":false,"family":"Celia","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":685676,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70073369,"text":"70073369 - 1992 - Precipitation estimation in mountainous terrain using multivariate geostatistics. Part I: structural analysis","interactions":[],"lastModifiedDate":"2014-01-16T14:03:11","indexId":"70073369","displayToPublicDate":"1992-07-01T13:59:00","publicationYear":"1992","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2168,"text":"Journal of Applied Meteorology","active":true,"publicationSubtype":{"id":10}},"title":"Precipitation estimation in mountainous terrain using multivariate geostatistics. Part I: structural analysis","docAbstract":"Values of average annual precipitation (AAP) are desired for hydrologic studies within a watershed containing Yucca Mountain, Nevada, a potential site for a high-level nuclear-waste repository. Reliable values of AAP are not yet available for most areas within this watershed because of a sparsity of precipitation measurements and the need to obtain measurements over a sufficient length of time. To estimate AAP over the entire watershed, historical precipitation data and station elevations were obtained from a network of 62 stations in southern Nevada and southeastern California. Multivariate geostatistics (cokriging) was selected as an estimation method because of a significant (p = 0.05) correlation of r = .75 between the natural log of AAP and station elevation. A sample direct variogram for the transformed variable, TAAP = ln [(AAP) 1000], was fitted with an isotropic, spherical model defined by a small nugget value of 5000, a range of 190 000 ft, and a sill value equal to the sample variance of 163 151. Elevations for 1531 additional locations were obtained from topographic maps to improve the accuracy of cokriged estimates. A sample direct variogram for elevation was fitted with an isotropic model consisting of a nugget value of 5500 and three nested transition structures: a Gaussian structure with a range of 61 000 ft, a spherical structure with a range of 70 000 ft, and a quasi-stationary, linear structure. The use of an isotropic, stationary model for elevation was considered valid within a sliding-neighborhood radius of 120 000 ft. The problem of fitting a positive-definite, nonlinear model of coregionalization to an inconsistent sample cross variogram for TAAP and elevation was solved by a modified use of the Cauchy-Schwarz inequality. A selected cross-variogram model consisted of two nested structures: a Gaussian structure with a range of 61 000 ft and a spherical structure with a range of 190 000 ft. Cross validation was used for model selection and for comparing the geostatistical model with six alternate estimation methods. Multivariate geostatistics provided the best cross-validation results.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Applied Meteorology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Meteorological Society","publisherLocation":"Boston, MA","doi":"10.1175/1520-0450(1992)031<0661:PEIMTU>2.0.CO;2","usgsCitation":"Hevesi, J.A., Istok, J.D., and Flint, A.L., 1992, Precipitation estimation in mountainous terrain using multivariate geostatistics. Part I: structural analysis: Journal of Applied Meteorology, v. 31, no. 7, p. 661-676, https://doi.org/10.1175/1520-0450(1992)031<0661:PEIMTU>2.0.CO;2.","productDescription":"16 p.","startPage":"661","endPage":"676","numberOfPages":"16","costCenters":[],"links":[{"id":479569,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/1520-0450(1992)031<0661:peimtu>2.0.co;2","text":"Publisher Index Page"},{"id":281195,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281194,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1175/1520-0450(1992)031<0661:PEIMTU>2.0.CO;2"}],"country":"United States","state":"Nevada","otherGeospatial":"Yucca Mountain","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.7402,35.1918 ], [ -118.7402,39.0021 ], [ -113.9063,39.0021 ], [ -113.9063,35.1918 ], [ -118.7402,35.1918 ] ] ] } } ] }","volume":"31","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd6c53e4b0b290851047b0","contributors":{"authors":[{"text":"Hevesi, Joseph A. 0000-0003-2898-1800 jhevesi@usgs.gov","orcid":"https://orcid.org/0000-0003-2898-1800","contributorId":1507,"corporation":false,"usgs":true,"family":"Hevesi","given":"Joseph","email":"jhevesi@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":488655,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Istok, Jonathan D.","contributorId":35468,"corporation":false,"usgs":true,"family":"Istok","given":"Jonathan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":488656,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flint, Alan L. 0000-0002-5118-751X aflint@usgs.gov","orcid":"https://orcid.org/0000-0002-5118-751X","contributorId":1492,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"aflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":488654,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70073361,"text":"70073361 - 1992 - Precipitation estimation in mountainous terrain using multivariate geostatistics. Part II: isohyetal maps","interactions":[],"lastModifiedDate":"2018-09-18T10:40:33","indexId":"70073361","displayToPublicDate":"1992-07-01T13:30:56","publicationYear":"1992","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2168,"text":"Journal of Applied Meteorology","active":true,"publicationSubtype":{"id":10}},"title":"Precipitation estimation in mountainous terrain using multivariate geostatistics. Part II: isohyetal maps","docAbstract":"Values of average annual precipitation (AAP) may be important for hydrologic characterization of a potential high-level nuclear-waste repository site at Yucca Mountain, Nevada. Reliable measurements of AAP are sparse in the vicinity of Yucca Mountain, and estimates of AAP were needed for an isohyetal mapping over a 2600-square-mile watershed containing Yucca Mountain. Estimates were obtained with a multivariate geostatistical model developed using AAP and elevation data from a network of 42 precipitation stations in southern Nevada and southeastern California. An additional 1531 elevations were obtained to improve estimation accuracy. Isohyets representing estimates obtained using univariate geostatistics (kriging) defined a smooth and continuous surface. Isohyets representing estimates obtained using multivariate geostatistics (cokriging) defined an irregular surface that more accurately represented expected local orographic influences on AAP. Cokriging results included a maximum estimate within the study area of 335 mm at an elevation of 7400 ft, an average estimate of 157 mm for the study area, and an average estimate of 172 mm at eight locations in the vicinity of the potential repository site. Kriging estimates tended to be lower in comparison because the increased AAP expected for remote mountainous topography was not adequately represented by the available sample. Regression results between cokriging estimates and elevation were similar to regression results between measured AAP and elevation. The position of the cokriging 250-mm isohyet relative to the boundaries of pinyon pine and juniper woodlands provided indirect evidence of improved estimation accuracy because the cokriging result agreed well with investigations by others concerning the relationship between elevation, vegetation, and climate in the Great Basin. Calculated estimation variances were also mapped and compared to evaluate improvements in estimation accuracy. Cokriging estimation variances were reduced by an average of 54% relative to kriging variances within the study area. Cokriging reduced estimation variances at the potential repository site by 55% relative to kriging. The usefulness of an existing network of stations for measuring AAP within the study area was evaluated using cokriging variances, and twenty additional stations were located for the purpose of improving the accuracy of future isohyetal mappings. Using the expanded network of stations, the maximum cokriging estimation variance within the study area was reduced by 78% relative to the existing network, and the average estimation variance was reduced by 52%.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Applied Meteorology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Meteorological Society","publisherLocation":"Boston, MA","doi":"10.1175/1520-0450(1992)031<0677:PEIMTU>2.0.CO;2","usgsCitation":"Hevesi, J.A., Flint, A.L., and Istok, J.D., 1992, Precipitation estimation in mountainous terrain using multivariate geostatistics. Part II: isohyetal maps: Journal of Applied Meteorology, v. 31, no. 7, p. 677-688, https://doi.org/10.1175/1520-0450(1992)031<0677:PEIMTU>2.0.CO;2.","productDescription":"12 p.","startPage":"677","endPage":"688","numberOfPages":"12","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":479570,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/1520-0450(1992)031<0677:peimtu>2.0.co;2","text":"Publisher Index Page"},{"id":281189,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1175/1520-0450(1992)031<0677:PEIMTU>2.0.CO;2"},{"id":281192,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Yucca Mountain","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.7402,35.1918 ], [ -118.7402,39.0021 ], [ -113.9063,39.0021 ], [ -113.9063,35.1918 ], [ -118.7402,35.1918 ] ] ] } } ] }","volume":"31","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd6c53e4b0b290851047b2","contributors":{"authors":[{"text":"Hevesi, Joseph A. 0000-0003-2898-1800 jhevesi@usgs.gov","orcid":"https://orcid.org/0000-0003-2898-1800","contributorId":1507,"corporation":false,"usgs":true,"family":"Hevesi","given":"Joseph","email":"jhevesi@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":488637,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flint, Alan L. 0000-0002-5118-751X aflint@usgs.gov","orcid":"https://orcid.org/0000-0002-5118-751X","contributorId":1492,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"aflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":488636,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Istok, Jonathan D.","contributorId":35468,"corporation":false,"usgs":true,"family":"Istok","given":"Jonathan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":488638,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":5222878,"text":"5222878 - 1992 - Annual survival rates of adult and immature eastern population tundra swans","interactions":[],"lastModifiedDate":"2024-12-02T17:39:00.786106","indexId":"5222878","displayToPublicDate":"1992-07-01T00:00:00","publicationYear":"1992","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Annual survival rates of adult and immature eastern population tundra swans","docAbstract":"

Tundra swans (Cygnus columbianus) of the eastern population were neckbanded in Maryland, North Carolina, and Alaska from 1966 through 1990. These swans were resighted and recaptured during autumn, winter, and spring, 1966-1990. Although the original motivation for this study involved swan movements, we wanted to use the resulting data to test hypotheses about sources of variation in swan survival rates. Recaptures of legbanded and neckbanded swans permitted us to estimate neckband loss rates, which were found to vary with age and sex of swans, and number of years since initial application. Estimates of annual neckband retention rate ranged from about 0.50 for adult male swans ≥ 2 years after initial neckbanding to > 0.96 for immature swans and adult females the first year following neckbanding. This variation in neckband loss rates prevented the simple correction of survival estimates to account for such loss. Consequently, we developed a series of multinomial models parameterized with survival, sighting, and neckband retention probabilities for use with the recapture and resighting data.

","language":"English","publisher":"Wiley","doi":"10.2307/3808863","usgsCitation":"Nichols, J., Bart, J., Limpert, R.J., Sladen, W.J., and Hines, J., 1992, Annual survival rates of adult and immature eastern population tundra swans: Journal of Wildlife Management, v. 56, no. 3, p. 485-494, https://doi.org/10.2307/3808863.","productDescription":"10 p.","startPage":"485","endPage":"494","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":196253,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska, Maryland, North 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Management","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of aerial transects for counting winter mallards","docAbstract":"

Winter waterfowl surveys rarely use sampling methods, and little is known about the precision and biases of their population estimates. Consequently, we developed aerial transect surveys (n=5) in 4 strata comprising 16 substrata in the lower Mississippi Alluvial Valley during winters 1987-88 through 1989-90 to estimate mallard (Anas platyrhynchos) population indices and determine regional patterns of habitat use. Mallard population indices ranged from 1,147,628 (SE=192,341) in December 1988 to 1,790,708 (SE=179,406) in January 1988. Coefficients of variation (CV's) for early winter surveys averaged 0.15 and those for late winter surveys averaged 0.10. During early winter, 59-69% of mallards were on wetlands with water regimes managed for waterfowl; whereas in late winter, 52-79% used wetlands with unmanaged water regimes. Late winter was wet during 1987-88 and 1988-89, and most mallards (62-68%) were on naturally flooded croplands. Use of forested wetlands (3-11%) and moist-soil habitats (3-29%) varied among surveys but was not correlated with water conditions. The number of mallards using naturally flooded croplands (e.g., >1,100,000 in Jan 1988) illustrated the extent of habitat use on private lands. We recommend transect surveys (e.g., 5-yr intervals) for evaluating responses of mallard populations to management programs and as a sampling framework for integrating regional waterfowl research and management data.

","language":"English","publisher":"Wiley","doi":"10.2307/3808867","usgsCitation":"Reinecke, K.J., Brown, M.W., and Nassar, J.R., 1992, Evaluation of aerial transects for counting winter mallards: Journal of Wildlife Management, v. 56, no. 3, p. 515-525, https://doi.org/10.2307/3808867.","productDescription":"11 p.","startPage":"515","endPage":"525","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":486946,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2307/3808867","text":"Publisher Index Page"},{"id":193982,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Illinois, Kentucky, Louisiana, Mississippi, Missouri, Tennesee","otherGeospatial":"Mississippi Alluvial Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.76953125,\n 36.932330061503144\n ],\n [\n -89.80224609374999,\n 37.142803443716836\n ],\n [\n -90.06591796875,\n 37.055177106660814\n ],\n [\n -92.04345703125,\n 34.63320791137959\n ],\n [\n -91.91162109375,\n 32.47269502206151\n ],\n [\n -92.197265625,\n 30.41078179084589\n ],\n [\n -90.06591796875,\n 29.22889003019423\n ],\n [\n -89.4287109375,\n 30.012030680358613\n ],\n [\n -91.1865234375,\n 31.372399104880525\n ],\n [\n -90.63720703125,\n 32.565333160841035\n ],\n [\n -89.7802734375,\n 33.46810795527896\n ],\n [\n -89.7802734375,\n 34.615126683462194\n ],\n [\n -88.76953125,\n 36.932330061503144\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"56","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae5e4b07f02db68a865","contributors":{"authors":[{"text":"Reinecke, Kenneth J.","contributorId":87275,"corporation":false,"usgs":true,"family":"Reinecke","given":"Kenneth","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":337695,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Michael W.","contributorId":17712,"corporation":false,"usgs":true,"family":"Brown","given":"Michael","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":337694,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nassar, James R.","contributorId":55918,"corporation":false,"usgs":true,"family":"Nassar","given":"James","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":337696,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":76,"text":"76 - 1992 - Global hypocenter data base","interactions":[],"lastModifiedDate":"2014-08-04T11:54:24","indexId":"76","displayToPublicDate":"1992-06-01T11:53:07","publicationYear":"1992","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Global hypocenter data base","docAbstract":"No abstract available.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Denver, CO","doi":"10.3133/76","usgsCitation":"Water Resources Division, U.S. Geological Survey, 1992, Global hypocenter data base (Version 2.0.), 1 computer laser optical disk, https://doi.org/10.3133/76.","productDescription":"1 computer laser optical disk","costCenters":[],"links":[{"id":291601,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"edition":"Version 2.0.","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53e09e57e4b0beb42bdca42b","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":527170,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ]}