Aquifer diffusivity (transmissivity divided by storage coefficient) was calculated for three sites in a glacial-autwash valley aquifer near Cortland, New York from water-level fluctuations induced by rises in stream stage. The observed response data were analyzed through use of a one-dimensional floodwave-response model to calculate the theoretical head response in the aquifer generated by a floodwave in the stream, and then matched to the observed head response. Diffusivity values computed from sharply peaked flood rises ranged from 6.08 to 8.68 ft2. The closest match between observed and calculated heads was obtained from a site where the aquifer is confined and the saturated thickness (and thus the diffusivity) remains constant with the passage of a floodwave. Arrival time of the observed flood-peak seems to be the most useful criterion for curve matching, especially under unconfined conditions, where a match to the rising limb and floodpeak is difficult because of changes in the saturated thickness.
","language":"English","publisher":"National Groundwater Association","doi":"10.1111/j.1745-6584.1987.tb02133.x","issn":"0017467X","usgsCitation":"Reynolds, R., 1987, Diffusivity of a glacial-outwash aquifer by the floodwave- response technique: Groundwater, v. 25, no. 3, p. 290-299, https://doi.org/10.1111/j.1745-6584.1987.tb02133.x.","productDescription":"10 p.","startPage":"290","endPage":"299","numberOfPages":"10","costCenters":[],"links":[{"id":226001,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"3","noUsgsAuthors":false,"publicationDate":"2006-03-21","publicationStatus":"PW","scienceBaseUri":"505a0113e4b0c8380cd4fab1","contributors":{"authors":[{"text":"Reynolds, R.J.","contributorId":102921,"corporation":false,"usgs":true,"family":"Reynolds","given":"R.J.","email":"","affiliations":[],"preferred":false,"id":367564,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70140568,"text":"70140568 - 1987 - Design of a spatial data structure using the relational normal forms","interactions":[],"lastModifiedDate":"2017-01-18T14:37:39","indexId":"70140568","displayToPublicDate":"1987-01-01T00:00:00","publicationYear":"1987","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2047,"text":"International Journal of Geographical Information Systems","active":true,"publicationSubtype":{"id":10}},"title":"Design of a spatial data structure using the relational normal forms","docAbstract":"In previous work, a relational data structure aimed at the exchange of spatial data between systems was developed. As this data structure was relational it was of first normal form, but compliance with the higher normal forms was not investigated. Recently, a new procedural method for composing fully normalized data structures from the basic data fields has been developed by H. C. Smith, as an alternative to the process of non-loss decomposition which is difficult to understand. Smith's method has been applied to data fields required to store points, lines and polygons in a chain-node spatial data model. When geographic domain, coverage layer and map are also considered, the procedure naturally leads to a catalogue model, needed for the exchange of spatial data. Although the method produces a fully normalized data structure, it is not as easy to identify which normal forms are responsible for the ultimate arrangement of the data fields into relations, but the benefits of these criteria for data base development also apply to spatial data structures and related ancillary data.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02693798708927791","usgsCitation":"van Roessel, J.W., 1987, Design of a spatial data structure using the relational normal forms: International Journal of Geographical Information Systems, v. 1, no. 1, p. 33-50, https://doi.org/10.1080/02693798708927791.","productDescription":"18 p.","startPage":"33","endPage":"50","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":297852,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2b72e4b08de9379b3397","contributors":{"authors":[{"text":"van Roessel, Jan W.","contributorId":35745,"corporation":false,"usgs":true,"family":"van Roessel","given":"Jan","email":"","middleInitial":"W.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":540137,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70182502,"text":"70182502 - 1987 - Using a spatial and tabular database to generate statistics from terrain and spectral data for soil surveys","interactions":[],"lastModifiedDate":"2017-03-22T15:35:33","indexId":"70182502","displayToPublicDate":"1987-01-01T00:00:00","publicationYear":"1987","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Using a spatial and tabular database to generate statistics from terrain and spectral data for soil surveys","docAbstract":"A methodology has been developed to create a spatial database by referencing digital elevation, Landsat multispectral scanner data, and digitized soil premap delineations of a number of adjacent 7.5-min quadrangle areas to a 30-m Universal Transverse Mercator projection. Slope and aspect transformations are calculated from elevation data and grouped according to field office specifications. An unsupervised classification is performed on a brightness and greenness transformation of the spectral data. The resulting spectral, slope, and aspect maps of each of the 7.5-min quadrangle areas are then plotted and submitted to the field office to be incorporated into the soil premapping stages of a soil survey. A tabular database is created from spatial data by generating descriptive statistics for each data layer within each soil premap delineation. The tabular data base is then entered into a data base management system to be accessed by the field office personnel during the soil survey and to be used for subsequent resource management decisions.
Large amounts of data are collected and archived during resource inventories for public land management. Often these data are stored as stacks of maps or folders in a file system in someone's office, with the maps in a variety of formats, scales, and with various standards of accuracy depending on their purpose. This system of information storage and retrieval is cumbersome at best when several categories of information are needed simultaneously for analysis or as input to resource management models. Computers now provide the resource scientist with the opportunity to design increasingly complex models that require even more categories of resource-related information, thus compounding the problem.
Recently there has been much emphasis on the use of geographic information systems (GIS) as an alternative method for map data archives and as a resource management tool. Considerable effort has been devoted to the generation of tabular databases, such as the U.S. Department of Agriculture's SCS/S015 (Soil Survey Staff, 1983), to archive the large amounts of information that are collected in conjunction with mapping of natural resources in an easily retrievable manner.
During the past 4 years the U.S. Geological Survey's EROS Data Center, in a cooperative effort with the Bureau of Land Management (BLM) and the Soil Conservation Service (SCS), developed a procedure that uses spatial and tabular databases to generate elevation, slope, aspect, and spectral map products that can be used during soil premapping. The procedure results in tabular data, residing in a database management system, that are indexed to the final soil delineations and help quantify soil map unit composition.
The procedure was developed and tested on soil surveys on over 600 000 ha in Wyoming, Nevada, and Idaho. A transfer of technology from the EROS Data Center to the BLM will enable the Denver BLM Service Center to use this procedure in soil survey operations on BLM lands. Also underway is a cooperative effort between the EROS Data Center and SCS to define and evaluate maps that can be produced as derivatives of digital elevation data for 7.5-min quadrangle areas, such as those used during the premapping stage of the soil surveys mentioned above, the idea being to make such products routinely available.
The procedure emphasizes the applications of digital elevation and spectral data to order-three soil surveys on rangelands, and will:
Incorporate digital terrain and spectral data into a spatial database for soil surveys.
Provide hardcopy products (that can be generated from digital elevation model and spectral data) that are useful during the soil pre-mapping process.
Incorporate soil premaps into a spatial database that can be accessed during the soil survey process along with terrain and spectral data.
Summarize useful quantitative information for soil mapping and for making interpretations for resource management.
The water system that supplies the heavily populated Dalap-Uliga-Darrit (DUD) area of Majuro atoll, Marshall Island, relies almost entirely upon airstrip catchment of rain water. Droughts cause severe water supply problems and water rationing is required, even during periods of normal rainfall. The Laura area contains a substantial lens of fresh groundwater that could be developed for export to the DUD area 30 mi to the east. Study of the groundwater resource at Laura involved a survey of existing wells, installation of monitoring wells and test holes, compilation of continuous records of rainfall and water level fluctuations, and collection of water quality data. Test hole data permitted the definition of three geohydrologic units which correlate well with similar units in Bikini and Enewetak atolls. The units consist of two layers of unconsolidated reef and lagoon sediments resting on a dense, highly permeable limestone. The potable water zone, or freshwater nucleus, of the lens is contained mostly within the unconsolidated layers, which are much less permeable than the basal limestone. Recharge to the Laura freshwater lens is estimated to be 1.8 mil gal/day, based on an average annual rainfall of 140 in. Sustainable yield is estimated to be about 400,000 gal/day. Shallow skimming wells or infiltration galleries similar to those used on Kwajalein atoll would be appropriate to develop the freshwater lens. The impact of development on the lens can be determined by monitoring the salinity in developed water and in a network of monitor wells.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/wri874047","usgsCitation":"Hamlin, S.N., and Anthony, S.S., 1987, Ground-water resources of the Laura area, Majuro Atoll, Marshall Islands: U.S. Geological Survey Water-Resources Investigations Report 87-4047, vi, 69 p., https://doi.org/10.3133/wri874047.","productDescription":"vi, 69 p.","costCenters":[],"links":[{"id":415606,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_49216.htm","linkFileType":{"id":5,"text":"html"}},{"id":56338,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/1987/4047/report.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":124185,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/1987/4047/report-thumb.jpg"}],"country":"Republic of the Marshall Islands","otherGeospatial":"Laura area, Majuro Atoll","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 171.045,\n 7.1667\n ],\n [\n 171.023,\n 7.1667\n ],\n [\n 171.023,\n 7.133\n ],\n [\n 171.045,\n 7.133\n ],\n [\n 171.045,\n 7.1667\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a96e4b07f02db65a80d","contributors":{"authors":[{"text":"Hamlin, S. N.","contributorId":46560,"corporation":false,"usgs":true,"family":"Hamlin","given":"S.","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":198201,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anthony, S. S.","contributorId":89173,"corporation":false,"usgs":true,"family":"Anthony","given":"S.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":198202,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":44378,"text":"wri874212 - 1987 - Generalized potentiometric surface of the aquifers in the Cockfield Formation, southeastern Arkansas, spring 1980","interactions":[],"lastModifiedDate":"2023-04-10T19:50:36.225016","indexId":"wri874212","displayToPublicDate":"1987-01-01T00:00:00","publicationYear":"1987","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":"87-4212","title":"Generalized potentiometric surface of the aquifers in the Cockfield Formation, southeastern Arkansas, spring 1980","docAbstract":"This map shows the generalized contours of the altitude of water levels in wells completed in the Cockfield Formation in southeastern Arkansas for 1980. Most water levels used in constructing the map were made in the spring of 1980. However, in parts of the State water levels from the spring of 1980 were unavailable. Where data indicated no long-term changes in nearby water levels, measurements from as early as 1952 and as late as 1983 were used. At a few locations the altitude of the water surface in a stream was used to define the potentiometric surface. Available water level data limited the interpretation of potentiometric surface primarily to the area of occurrence of the aquifers south of the Arkansas River. Water level data from Arkansas and adjacent states used in the construction of this map are from the groundwater file of the U.S. Geological Survey 's National Water Data Storage and Retrieval System. This map was prepared as part of the Gulf Coast Regional Aquifer-System Analysis study.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/wri874212","usgsCitation":"Ackerman, D.J., 1987, Generalized potentiometric surface of the aquifers in the Cockfield Formation, southeastern Arkansas, spring 1980: U.S. Geological Survey Water-Resources Investigations Report 87-4212, 1 Plate: 41.82 x 33.42 inches, https://doi.org/10.3133/wri874212.","productDescription":"1 Plate: 41.82 x 33.42 inches","costCenters":[],"links":[{"id":169315,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":81668,"rank":2,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/wri/1987/4212/plate-1.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":415530,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_46868.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Arkansas","otherGeospatial":"Cockfield Formation","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -93.333,\n 35\n ],\n [\n -93.333,\n 33\n ],\n [\n -91,\n 33\n ],\n [\n -91,\n 35\n ],\n [\n -93.333,\n 35\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b25e4b07f02db6aed92","contributors":{"authors":[{"text":"Ackerman, D. J.","contributorId":53380,"corporation":false,"usgs":true,"family":"Ackerman","given":"D.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":229667,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":44418,"text":"wri864352 - 1987 - Ground-water levels in the lower Paleozoic and Precambrian crystalline rocks, southeastern Chester County, Pennsylvania, July and August 1986","interactions":[],"lastModifiedDate":"2023-03-24T18:47:23.105322","indexId":"wri864352","displayToPublicDate":"1987-01-01T00:00:00","publicationYear":"1987","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":"86-4352","title":"Ground-water levels in the lower Paleozoic and Precambrian crystalline rocks, southeastern Chester County, Pennsylvania, July and August 1986","docAbstract":"A water table contour map of the lower Paleozoic and Precambrian crystalline rocks of southeastern Chester County, Pennsylvania was constructed on the basis of water levels measured in 261 wells in July and August 1986, elevations of 11 springs that were flowing in July and August 1986, and water levels measured in 15 wells. Pre-1986 measurements were incorporated on the map to provide control in areas where more-recent data were not available. The area of crystalline rocks underlies Thornbury, Westtown, East Goshen, and West Goshen Townships, parts of East Whiteland and West Whiteland Townships; and West Chester Borough. Water table altitudes under natural conditions range from 544 ft. above National Geodetic Vertical Datum of 1929 (NGVD of 1929) near Immaculata College to 234 ft. above NGVD of 1929 near Cheyney College.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/wri864352","usgsCitation":"Garges, J.A., 1987, Ground-water levels in the lower Paleozoic and Precambrian crystalline rocks, southeastern Chester County, Pennsylvania, July and August 1986: U.S. Geological Survey Water-Resources Investigations Report 86-4352, 1 Plate: 30.30 x 30.41 inches, https://doi.org/10.3133/wri864352.","productDescription":"1 Plate: 30.30 x 30.41 inches","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":173111,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":414719,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_36663.htm","linkFileType":{"id":5,"text":"html"}},{"id":81716,"rank":2,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/wri/1986/4352/plate-1.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Pennsylvania","county":"Chester County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.5,\n 40.042\n ],\n [\n -75.667,\n 40.042\n ],\n [\n -75.667,\n 39.9\n ],\n [\n -75.5,\n 39.9\n ],\n [\n -75.5,\n 40.042\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b09e4b07f02db69bfee","contributors":{"authors":[{"text":"Garges, John A.","contributorId":74428,"corporation":false,"usgs":true,"family":"Garges","given":"John","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":229731,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":1000556,"text":"1000556 - 1987 - Partitioning potential fish yields from the Great Lakes","interactions":[],"lastModifiedDate":"2016-03-25T10:33:29","indexId":"1000556","displayToPublicDate":"1987-01-01T00:00:00","publicationYear":"1987","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Partitioning potential fish yields from the Great Lakes","docAbstract":"We proposed and implemented procedures for partitioning future fish yields from the Great Lakes into taxonomic components. These projections are intended as guidelines for Great Lakes resource managers and scientists. Attainment of projected yields depends on restoration of stable fish communities containing some large piscivores that will use prey efficiently, continuation of control of the sea lamprey (Petromyzon marinus), and restoration of high-quality fish habitat. Because Great Lakes fish communities were harmonic before their collapse, we used their historic yield properties as part of the basis for projecting potential yields of rehabilitated communities. This use is qualified, however, because of possible inaccuracies in the wholly commercial yield data, the presence now of greatly expanded sport fisheries that affect yield composition and magnitude, and some possibly irreversible changes since the 1950s in the various fish communities themselves. We predict that total yields from Lakes Superior, Huron, and Ontario will be increased through rehabilitation, while those from Lakes Michigan and Erie will decline. Salmonines and coregonines will dominate future yields from the upper lakes. The Lake Erie fishery will continue to yield mostly rainbow smelt (Osmerus mordax), but the relative importance of percids, especially of walleye (Stizostedion vitreum vitreum) will increase. In Lake Ontario, yields of salmonines will be increased. Managers will have to apply the most rigorous management strictures to major predator species.
","language":"English","publisher":"NRC Research Press","doi":"10.1139/f87-343","usgsCitation":"Loftus, D., Olver, C., Brown, E., Colby, P., Hartman, W.L., and Schupp, D., 1987, Partitioning potential fish yields from the Great Lakes: Canadian Journal of Fisheries and Aquatic Sciences, v. 44, no. Suppl. 2, p. 417-424, https://doi.org/10.1139/f87-343.","productDescription":"8 p.","startPage":"417","endPage":"424","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":133321,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"Suppl. 2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae2e4b07f02db688ea2","contributors":{"authors":[{"text":"Loftus, D.H.","contributorId":25117,"corporation":false,"usgs":true,"family":"Loftus","given":"D.H.","email":"","affiliations":[],"preferred":false,"id":308764,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olver, C.H.","contributorId":13936,"corporation":false,"usgs":true,"family":"Olver","given":"C.H.","affiliations":[],"preferred":false,"id":308762,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Edward H.","contributorId":49732,"corporation":false,"usgs":true,"family":"Brown","given":"Edward H.","affiliations":[],"preferred":false,"id":308765,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Colby, P.J.","contributorId":101233,"corporation":false,"usgs":true,"family":"Colby","given":"P.J.","email":"","affiliations":[],"preferred":false,"id":308767,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hartman, Wilbur L.","contributorId":14763,"corporation":false,"usgs":true,"family":"Hartman","given":"Wilbur","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":308763,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schupp, D.H.","contributorId":99943,"corporation":false,"usgs":true,"family":"Schupp","given":"D.H.","email":"","affiliations":[],"preferred":false,"id":308766,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":1000561,"text":"1000561 - 1987 - Acute bioassays and hazard evaluation of representative contaminants detected in Great Lakes fish","interactions":[],"lastModifiedDate":"2013-01-29T11:09:15","indexId":"1000561","displayToPublicDate":"1987-01-01T00:00:00","publicationYear":"1987","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Acute bioassays and hazard evaluation of representative contaminants detected in Great Lakes fish","docAbstract":"We have provided a hazard ranking for 19 classes of compounds representing many of the nearly 500 organic compounds identified by gas chromatography-mass spectrometry in lake trout (Salvelinus namaycush) and walleye (Stizostedion vitreum vitreum) from the Great Lakes and Lake St. Clair. We initially made a provisional hazard ranking based on available published and unpublished information on aquatic toxicity, bioaccumulation, occurrence and sources. Acute toxicity tests with Daphnia pulex at 17A°C in reconstituted hard water were performed with 30 compounds representative of the 19 classes that were highest in the provisional ranking. The resulting toxicity data, along with information on the compounds' occurrence in Great Lakes fish and their sources, were ranked and weighted and then used in calculating the revised hazard ranking. The 10 most hazardous classes, in descending order, are as follows (values shown are mean 48-h EC50s, in μ/ml): arene halides (e.g., polychlorinated biphenyls, DDT), 0.0011; phthalate esters, 0.133; chlorinated camphenes (toxaphene), 0.0082; polyaromatic hydrocarbons (PAHs; e.g., dimethylnaphthalene) and reduced derivatives, 1.01; chlorinated fused polycyclics (e.g., trans-nonachlor), 0.022; nitrogen-containing compounds (e.g., O-methylhydroxyl-amine), 1.35; alkyl halides (e.g., (bromomethyl)cyclohexene), 10.1; cyclic alkanes (e.g., cyclododecane), 20.9; silicon-containing compounds (e.g., dimethyldiethoxy silane), 1.25; and heterocyclic nitrogen compounds (e.g., nicotine), 2.48. We recommend that chronic bioassays be conducted with fish and invertebrates to determine the sublethal effects of the following classes of compounds, for which few toxicity data are available: PAHs, heterocyclic nitrogen compounds, other nitrogen-containing compounds, alkyl halides, cyclic alkanes and silicon-containing compounds. Information from these types of studies will aid researchers in determining the possible causal role these contaminants play in the decline and reproductive impairment of Great Lakes fish.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Toxicology and Chemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1002/etc.5620061111","usgsCitation":"Passino, D.R., and Smith, S.B., 1987, Acute bioassays and hazard evaluation of representative contaminants detected in Great Lakes fish: Environmental Toxicology and Chemistry, v. 6, no. 11, p. 901-907, https://doi.org/10.1002/etc.5620061111.","productDescription":"p. 901-907","startPage":"901","endPage":"907","numberOfPages":"7","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":133481,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":266686,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/etc.5620061111"}],"volume":"6","issue":"11","noUsgsAuthors":false,"publicationDate":"1987-11-01","publicationStatus":"PW","scienceBaseUri":"4f4e4b05e4b07f02db699bb0","contributors":{"authors":[{"text":"Passino, Dora R. May","contributorId":23877,"corporation":false,"usgs":true,"family":"Passino","given":"Dora","email":"","middleInitial":"R. May","affiliations":[],"preferred":false,"id":308777,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Stephen B.","contributorId":14765,"corporation":false,"usgs":true,"family":"Smith","given":"Stephen","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":308776,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":60995,"text":"mf1280 - 1987 - Seismicity map of the state of Pennsylvania","interactions":[{"subject":{"id":70187610,"text":"mf1280_1981 - 1981 - Seismicity map of the state of Pennsylvania","indexId":"mf1280_1981","publicationYear":"1981","noYear":false,"title":"Seismicity map of the state of Pennsylvania"},"predicate":"SUPERSEDED_BY","object":{"id":60995,"text":"mf1280 - 1987 - Seismicity map of the state of Pennsylvania","indexId":"mf1280","publicationYear":"1987","noYear":false,"title":"Seismicity map of the state of Pennsylvania"},"id":1}],"lastModifiedDate":"2023-05-01T21:22:50.313426","indexId":"mf1280","displayToPublicDate":"1987-01-01T00:00:00","publicationYear":"1987","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":325,"text":"Miscellaneous Field Studies Map","code":"MF","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1280","title":"Seismicity map of the state of Pennsylvania","docAbstract":"This map is one of a series of seismicity maps produced by the U. S. Geological Survey that show earthquake data of individual states or groups of states at the scale of 1:1,000,000. This map shows only those earthquakes with epicenters located within the boundaries of Pennsylvania, even though earthquakes in nearby states may have been felt or may have caused damage in Pennsylvania.
The data in table 1 were used to compile the seismicity map; these data are a corrected, expanded, and updated (through 1983) version of the data used by Algermissen (1969) for a study of seismic risk in the United States. The locations and intensities of some earthquakes were revised and intensities were assigned where none had been before. Many earthquakes were added to the original list from new data sources as well as from some old data sources that had not been previously used. The data in table 1 represent best estimates of the location of the epicenter, magnitude, and intensity of each earthquake on the basis of historical and current information. Some of the aftershocks from large earthquakes are listed, but not all, especially for earthquakes that occurred before seismic instruments were universally used.
The latitude and longitude coordinates of each epicenter were rounded to the nearest tenth of a degree and sorted so that all identical locations were grouped and counted. These locations are represented on the map by a triangle. The number of earthquakes at each location is shown on the map by the arabic number to the right of the triangle. A Roman numeral to the left of a triangle is the maximum Modified Mercalli intensity (Wood and Neumann, 1931) of a11 earthquakes at that geographic location. The absence of an intensity value indicates that no intensities have been assigned to earthquakes at that location. The year shown below each triangle is the latest year for which the maximum intensity was recorded.
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T.","contributorId":39790,"corporation":false,"usgs":true,"family":"Algermissen","given":"S.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":264792,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":57334,"text":"wdrWV851 - 1987 - Water Resources Data for West Virginia, Water Year 1985","interactions":[],"lastModifiedDate":"2025-01-14T22:08:28.391371","indexId":"wdrWV851","displayToPublicDate":"1987-01-01T00:00:00","publicationYear":"1987","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":"WV-85-1","title":"Water Resources Data for West Virginia, Water Year 1985","docAbstract":"Water resources data for the 1985 water year for West Virginia consist of records of stage, discharge, and water quality of streams; contents of reservoirs; and water levels and water quality of observation wells. This report contains discharge records for 75 streamflow-gaging stations; stage only records for 12 gaging stations, and 2 crest-stage partial-record stations; (2) contents for 2 reservoirs, and change in contents for 1 reservoir; (3) water-quality records for 24 streamflow-gaging stations; (4) water-level records for 33 observation wells; and (5) water-quality records for 17 observation wells. Locations of these sites are shown on figures 4 and 5. Additional water data were collected at various sites, not involved in the systematic data collection program, and are published as miscellaneous measurements. 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 West Virginia.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/wdrWV851","collaboration":"Prepared in cooperation with the State of West Virginia and with other agencies","usgsCitation":"Embree, W., Friel, E., and Taylor, F., 1987, Water Resources Data for West Virginia, Water Year 1985: U.S. Geological Survey Water Data Report WV-85-1, viii, 224 p., https://doi.org/10.3133/wdrWV851.","productDescription":"viii, 224 p.","costCenters":[],"links":[{"id":466319,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wdr/1985/wv-85-1/report.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":184497,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wdr/1985/wv-85-1/report-thumb.jpg"}],"country":"United States","state":"West 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Florida","interactions":[],"lastModifiedDate":"2026-01-26T22:33:05.91713","indexId":"mf1056","displayToPublicDate":"1987-01-01T00:00:00","publicationYear":"1987","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":325,"text":"Miscellaneous Field Studies Map","code":"MF","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1056","title":"Seismicity map of the state of Florida","docAbstract":"This map is one of a series of seismicity maps produced by the U. S. Geological Survey that show earthquake data of individual states or groups of states at the scale of 1:1,000,000. This map shows only those earthquakes with epicenters located within the boundaries of Florida, even though earthquakes in nearby states or countries may have been felt or may have caused damage in Florida.
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\"}}]}","edition":"Revision - 1987","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a09e4b07f02db5fad46","contributors":{"authors":[{"text":"Reagor, B. Glen","contributorId":27038,"corporation":false,"usgs":true,"family":"Reagor","given":"B.","email":"","middleInitial":"Glen","affiliations":[],"preferred":false,"id":264156,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stover, Carl W.","contributorId":28955,"corporation":false,"usgs":true,"family":"Stover","given":"Carl","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":264157,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Algermissen, Sylvester Theodore","contributorId":94300,"corporation":false,"usgs":true,"family":"Algermissen","given":"Sylvester","email":"","middleInitial":"Theodore","affiliations":[],"preferred":false,"id":264158,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":1002307,"text":"1002307 - 1987 - The role of stand history in assessing forest impacts","interactions":[],"lastModifiedDate":"2012-02-02T00:04:50","indexId":"1002307","displayToPublicDate":"1987-01-01T00:00:00","publicationYear":"1987","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"The role of stand history in assessing forest impacts","docAbstract":"Air pollution, harvesting practices, and natural disturbances can affect the growth of trees and forest development. To make predictions about anthropogenic impacts on forests, we need to understand how these factors affect tree growth. In this study the effect of disturbance history on tree growth and stand structure was examined by using a computer model of forest development. The model was run under the climatic conditions of east Tennessee, USA, and the results compared to stand structure and tree growth data from a yellow poplar-white oak forest. Basal area growth and forest biomass were more accurately projected when rough approximations of the thinning and fire history typical of the measured plots were included in the simulation model. Stand history can influence tree growth rates and forest structure and should be included in any attempt to assess forest impacts.\r\n","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/BF01867163","usgsCitation":"Dale, V., and Doyle, T., 1987, The role of stand history in assessing forest impacts: Environmental Management, v. 11, no. 3, p. 351-357, https://doi.org/10.1007/BF01867163.","productDescription":"p. 351-357","startPage":"351","endPage":"357","numberOfPages":"7","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":134423,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":15415,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1007/BF01867163","linkFileType":{"id":5,"text":"html"},"description":"7124.000000000000000"}],"volume":"11","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a2de4b07f02db61423b","contributors":{"authors":[{"text":"Dale, V.H.","contributorId":27021,"corporation":false,"usgs":true,"family":"Dale","given":"V.H.","email":"","affiliations":[],"preferred":false,"id":312060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doyle, T.W. 0000-0001-5754-0671","orcid":"https://orcid.org/0000-0001-5754-0671","contributorId":16783,"corporation":false,"usgs":true,"family":"Doyle","given":"T.W.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":312059,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":5222199,"text":"5222199 - 1987 - Effects of feeding and fasting on wolf blood and urine characteristics","interactions":[],"lastModifiedDate":"2024-11-15T17:36:03.011641","indexId":"5222199","displayToPublicDate":"1987-01-01T00:00:00","publicationYear":"1987","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":"Effects of feeding and fasting on wolf blood and urine characteristics","docAbstract":"Feeding and fasting trials were conducted with 2 groups (A and B) of 4 gray wolves (Canis lupus) each during January 1980. The groups were fed for 9 days and fasted for 10 days in a cross-over design. Blood and urine samples and weight data were collected every 2-3 days during each trial. Hemoglobin (Hb) concentrations, red blood cell (RBC) counts, and hematocrits (HCT) were elevated in both groups during fasting. White blood cell (WBC) counts, serum urea nitrogen (SUN), triiodothyronine (T3), and insulin concentrations decreased during fasting in Groups A and B. Mean corpuscular hemoglobin concentration (MCHC), serum cholesterol, triglyceride, and iron (Fe) concentrations were diminished in fasted Group A wolves compared to fed Group B. Creatine phosphokinase (CPK) concentrations were elevated in fed Group A wolves. Serum creatinine (C) concentrations were reduced in both groups during feeding. Urinary urea: creatinine (U:C), potassium:creatine (K:C), and sodium:creatinine (Na:C, pooled Group A and B data) ratios decreased in fasted wolves. Differences were not found between fed and fasted wolves for mean corpuscular volume (MCV), serum cortisol, glucose, calcium (Ca), bilirubin, serum glutamate-oxaloacetate transaminase (SGOT), serum glutamate-pyruvate transaminase (SGOT), serum glutamate-pyruvate transaminase (SGPT), alkaline phosphatase, and luteinizing hormone (LH) concentrations, total iron binding capacity (TIBC), and urinary calcium: creatine (Ca:C) ratios. Analysis of multiple blood or urine samples collected from free-ranging wolves would be useful in enabling researches and managers to identify the nutritional status and general health of wolves over time.
","language":"English","publisher":"Wiley","doi":"10.2307/3801619","usgsCitation":"DelGiudice, G.D., Seal, U.S., and Mech, L., 1987, Effects of feeding and fasting on wolf blood and urine characteristics: Journal of Wildlife Management, v. 51, no. 1, p. 1-10, https://doi.org/10.2307/3801619.","productDescription":"10 p.","startPage":"1","endPage":"10","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":198094,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","city":"Minneapolis","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -93.97068036690109,\n 45.50858088361721\n ],\n [\n -93.97068036690109,\n 44.7411941803594\n ],\n [\n -92.90500653877628,\n 44.7411941803594\n ],\n [\n -92.90500653877628,\n 45.50858088361721\n ],\n [\n -93.97068036690109,\n 45.50858088361721\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"51","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49dbe4b07f02db5e0998","contributors":{"authors":[{"text":"DelGiudice, Glenn D.","contributorId":64582,"corporation":false,"usgs":true,"family":"DelGiudice","given":"Glenn","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":335783,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Seal, Ulysses S.","contributorId":25494,"corporation":false,"usgs":true,"family":"Seal","given":"Ulysses","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":335784,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mech, L. David","contributorId":66609,"corporation":false,"usgs":true,"family":"Mech","given":"L. David","affiliations":[],"preferred":false,"id":335785,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":1013706,"text":"1013706 - 1987 - Immunization of salmonids against Yersinia ruckeri: Significance of humoral immunity and cross protection between serotypes","interactions":[],"lastModifiedDate":"2024-07-16T11:12:43.954105","indexId":"1013706","displayToPublicDate":"1987-01-01T00:00:00","publicationYear":"1987","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Immunization of salmonids against Yersinia ruckeri: Significance of humoral immunity and cross protection between serotypes","docAbstract":"Brook trout (Salvelinus fontinalis) were immunized with bacterins containing either Serotype 1 or 2 isolates of Yersinia ruckeri to determine the relative degree of cross-protection afforded when the fish were challenged with the homologous or heterologous serotype. While fish immunized with pH-lysed bacterins produced highly specific agglutinins that did not cross-react with antigens derived from a heterologous serotype of Y. ruckeri all fish were protected against experimental challenge, regardless of which serotype was used for bacterin production and experimental challenge. Other experiments indicated that brook trout injected intraperitoneally with highly specific antibodies could not be passively immunized against experimental challenge.
This study was designed to evaluate survival of striped bass yolk-sac larvae and yearlings at three locations in their natural spawning habitat in the upper Chesapeake Bay (Chesapeake and Delaware Canal) using “in-situ” chambers; correlate larval and yearling survival with the presence of 11 water quality parameters, 10 inorganic contaminants and 21 organic contaminants and assess histological effects on yearlings after exposure to habitat water. The cumulative percent survival ranged from 42–59.5% for striped bass larvae after 96 hr of exposure to habitat water during two experiments. Survival in control conditions during these two experiments was 77.5 and 80.5%. Data from previous studies have shown that mortality rates for wild yolk-sac larvae ranged from 7–19% per day. Daily mortality of larvae in the present study was 13–16%; therefore, suspected acutely harmful water quality or contaminant conditions affecting survival were not substantiated. All yearling striped bass survived 10 days of exposure to habitat water. Although habitat water was not acutely toxic, histological examination of surviving yearling striped bass indicated sublethal effects. Telangiectases (lamellar dilations) of the gills was reported for yearlings exposed to habitat water. This pathological change was not found in the controls.
","language":"English","publisher":"Springer","doi":"10.1007/BF01055259","usgsCitation":"Hall, L.W., Pinkney, A.E., Herman, L., and Finger, S.E., 1987, Survival of striped bass larvae and yearlings in relation to contaminants and water quality in the upper Chesapeake Bay: Archives of Environmental Contamination and Toxicology, v. 16, p. 391-400, https://doi.org/10.1007/BF01055259.","productDescription":"10 p.","startPage":"391","endPage":"400","numberOfPages":"10","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":132055,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Maryland","otherGeospatial":"Upper Chesapeake Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.51029742599397,\n 39.688182531053656\n ],\n [\n -76.26906684365021,\n 39.688182531053656\n ],\n [\n -76.26906684365021,\n 39.31005353491247\n ],\n [\n -75.51029742599397,\n 39.31005353491247\n ],\n [\n -75.51029742599397,\n 39.688182531053656\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"16","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae0e4b07f02db688123","contributors":{"authors":[{"text":"Hall, L. W. Jr.","contributorId":6010,"corporation":false,"usgs":false,"family":"Hall","given":"L.","suffix":"Jr.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":319322,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pinkney, Alfred E.","contributorId":14253,"corporation":false,"usgs":false,"family":"Pinkney","given":"Alfred","email":"","middleInitial":"E.","affiliations":[{"id":12750,"text":"U.S. Fish and Wildlife Service, Annapolis, MD","active":true,"usgs":false}],"preferred":false,"id":319325,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Herman, L.","contributorId":332333,"corporation":false,"usgs":false,"family":"Herman","given":"L.","email":"","affiliations":[],"preferred":false,"id":319323,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Finger, Susan E. sfinger@usgs.gov","contributorId":1317,"corporation":false,"usgs":true,"family":"Finger","given":"Susan","email":"sfinger@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":319324,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":1014169,"text":"1014169 - 1987 - Design of airlift pumps for water circulation and aeration in aquaculture","interactions":[],"lastModifiedDate":"2023-08-09T15:55:55.858811","indexId":"1014169","displayToPublicDate":"1987-01-01T00:00:00","publicationYear":"1987","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":852,"text":"Aquacultural Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Design of airlift pumps for water circulation and aeration in aquaculture","docAbstract":"Water flow rates were measured in airlift pumps 3·75-30 cm in diameter to develop performance data that might be useful to aquaculturists. Flows were determined when submergence of airlifts was 100% and when the center-line of the discharge was between 12·5 cm above and 5 cm below the water surface. Air was injected at 15-cm intervals from 15 cm to 120 cm below the discharge of the airlift and air flow was varied from 28 to 1416 liters min−1. An increase in the vertical lift reduced flow rates greatly in large-diameter pipes, but only slightly affected flow rates in small-diameter pipes. Water flow increased linearly as air flow increased logarithmically.
","language":"English","publisher":"Elsevier","doi":"10.1016/0144-8609(87)90008-2","usgsCitation":"Parker, N., and Suttle, M.A., 1987, Design of airlift pumps for water circulation and aeration in aquaculture: Aquacultural Engineering, v. 6, no. 2, p. 97-110, https://doi.org/10.1016/0144-8609(87)90008-2.","productDescription":"14 p.","startPage":"97","endPage":"110","numberOfPages":"14","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":131628,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aa8e4b07f02db667ddf","contributors":{"authors":[{"text":"Parker, N. C.","contributorId":101209,"corporation":false,"usgs":true,"family":"Parker","given":"N. C.","affiliations":[],"preferred":false,"id":319900,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Suttle, M. A.","contributorId":54926,"corporation":false,"usgs":true,"family":"Suttle","given":"M.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":319899,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":1003277,"text":"1003277 - 1987 - Re-registration of rotenone: A state/federal cooperative effort","interactions":[],"lastModifiedDate":"2023-12-11T11:47:49.059338","indexId":"1003277","displayToPublicDate":"1987-01-01T00:00:00","publicationYear":"1987","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"Re-registration of rotenone: A state/federal cooperative effort","docAbstract":"Rotenone is an effective fish toxicant used by virtually all states to manage fish populations. In response to an allegation that rotenone might cause mammary tumors, the U.S. Environmental Protection Agency, in 1976, announced that it was considering listing rotenone as an unsafe substance. To determine if these allegations were correct, the U.S. Fish and Wildlife Service, in concert with the International Association of Fish and Wildlife Agencies, embarked on an extensive research effort. The project was funded in part with Federal Aid in Sport Fish Restoration administrative funds, extended over 6 years, and cost nearly $3,000,000. Data developed from this effort indicate that, if used according to its label instructions, rotenone is a safe and effective product.
","language":"English","publisher":"Wiley","doi":"10.1577/1548-8446(1987)012<0009:RORAFC>2.0.CO;2","usgsCitation":"Sousa, R., Meyer, F.P., and Schnick, R.A., 1987, Re-registration of rotenone: A state/federal cooperative effort: Fisheries, v. 12, no. 4, p. 9-13, https://doi.org/10.1577/1548-8446(1987)012<0009:RORAFC>2.0.CO;2.","productDescription":"5 p.","startPage":"9","endPage":"13","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":134478,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a7fe4b07f02db648694","contributors":{"authors":[{"text":"Sousa, R.J.","contributorId":85560,"corporation":false,"usgs":true,"family":"Sousa","given":"R.J.","email":"","affiliations":[],"preferred":false,"id":313057,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meyer, F. P.","contributorId":96207,"corporation":false,"usgs":true,"family":"Meyer","given":"F.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":313058,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schnick, R. A.","contributorId":106079,"corporation":false,"usgs":true,"family":"Schnick","given":"R.","middleInitial":"A.","affiliations":[],"preferred":false,"id":313059,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":1001635,"text":"1001635 - 1987 - Sedimentation in Lake Onalaska, Navigation Pool 7, Upper Mississippi River, since impoundment","interactions":[],"lastModifiedDate":"2013-03-11T21:06:13","indexId":"1001635","displayToPublicDate":"1987-01-01T00:00:00","publicationYear":"1987","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Sedimentation in Lake Onalaska, Navigation Pool 7, Upper Mississippi River, since impoundment","docAbstract":"Sediment accumulation was evaluated in Lake Onalaska a 2800-ha backwater impoundment on the Upper Mississippi River. Computer programs were used to process fathometric charts and generate an extensive data set on water depth for the lake. Comparison of 1983 survey data with pre-impoundment (before 1937) data showed that Lake Onalaska had lost less than 10 percent of its original mean depth in the 46 years since impoundment. Previous estimates of sedimentation rates based on Cesium-137 sediment core analysis appear to have been too high.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of the American Water Resources Association","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Water Resources Association","doi":"10.1111/j.1752-1688.1987.tb00799.x","usgsCitation":"Korschgen, C.E., Jackson, G.A., Muessig, L., and Southworth, D., 1987, Sedimentation in Lake Onalaska, Navigation Pool 7, Upper Mississippi River, since impoundment: Journal of the American Water Resources Association, v. 23, no. 2, p. 221-226, https://doi.org/10.1111/j.1752-1688.1987.tb00799.x.","productDescription":"p. 221-226","startPage":"221","endPage":"226","numberOfPages":"5","costCenters":[],"links":[{"id":269098,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1752-1688.1987.tb00799.x"},{"id":133860,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"2","noUsgsAuthors":false,"publicationDate":"2007-06-08","publicationStatus":"PW","scienceBaseUri":"4f4e4a0be4b07f02db5fbcbf","contributors":{"authors":[{"text":"Korschgen, C. E.","contributorId":9197,"corporation":false,"usgs":true,"family":"Korschgen","given":"C.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":311397,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jackson, G. A.","contributorId":73138,"corporation":false,"usgs":true,"family":"Jackson","given":"G.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":311400,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Muessig, L.F.","contributorId":12810,"corporation":false,"usgs":true,"family":"Muessig","given":"L.F.","email":"","affiliations":[],"preferred":false,"id":311398,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Southworth, D.","contributorId":31363,"corporation":false,"usgs":true,"family":"Southworth","given":"D.","email":"","affiliations":[],"preferred":false,"id":311399,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70185923,"text":"70185923 - 1987 - An empirical model for estimating phytoplankton productivity in estuaries","interactions":[],"lastModifiedDate":"2020-01-17T17:27:17","indexId":"70185923","displayToPublicDate":"1987-01-01T00:00:00","publicationYear":"1987","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"An empirical model for estimating phytoplankton productivity in estuaries","docAbstract":"e have previously shown that primary productivity in San Francisco Bay, USA, is highly correlated with phytoplankton biomass B (chlorophyll a concentration) and an index of light avallability in the photic zone, 2, I, (photic depth times surface irradiance). To test the generality of this relation, we compiled data from San Francisco Bay and 5 other USA estuarine systems (Neuse and South Rivers, Puget Sound, Delaware Bay and Hudson River Plume), and regressed daily produclvity J' P (mg C m-2 d-') against the composite parameter B Z, I,. Regressions for each estuary were significant and typically over 80 % of the varialon in P was correlated with variations in B Z,I,. Moreover, the pooled data (n = 211) from 4 estuaries where methodologies were comparable fell along one regression line (r2= 0.82), indicating that primary productivity can be estimated in a diversity of estuarine waters from simple measures of phytoplankton biomass and hght availability. This implies that physiological variabhty (e. g. responses to variations in nutrient availabhty, temperature, sahnity, photoperiod) is a secondary control on phytoplankton production in nutrient-rich estuaries, and that one empirical function can be used to estimate seasonal variations in productivity or to map productivity along estuarine gradients of phytoplankton biomass and turbidity.
","language":"English","publisher":"Inter-Research","usgsCitation":"Cole, B., and Cloern, J., 1987, An empirical model for estimating phytoplankton productivity in estuaries: Marine Ecology Progress Series, v. 396, p. 299-305.","productDescription":"7 p. ","startPage":"299","endPage":"305","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":338665,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"396","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58dcc822e4b02ff32c68575e","contributors":{"authors":[{"text":"Cole, B.E.","contributorId":66268,"corporation":false,"usgs":true,"family":"Cole","given":"B.E.","email":"","affiliations":[],"preferred":false,"id":687099,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cloern, J. E.","contributorId":59453,"corporation":false,"usgs":true,"family":"Cloern","given":"J. E.","affiliations":[],"preferred":false,"id":687100,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70182503,"text":"70182503 - 1987 - Use of slope, aspect, and elevation maps derived from digital elevation model data in making soil surveys","interactions":[],"lastModifiedDate":"2017-03-22T15:36:07","indexId":"70182503","displayToPublicDate":"1987-01-01T00:00:00","publicationYear":"1987","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Use of slope, aspect, and elevation maps derived from digital elevation model data in making soil surveys","docAbstract":"Maps showing different classes of slope, aspect, and elevation were developed from U.S. Geological Survey digital elevation model data. The classes were displayed on clear Mylar at 1:24 000-scale and registered with topographic maps and orthophotos. The maps were used with aerial photographs, topographic maps, and other resource data to determine their value in making order-three soil surveys. They were tested on over 600 000 ha in Wyoming, Idaho, and Nevada under various climatic and topographic conditions. Field evaluations showed that the maps developed from digital elevation model data were accurate, except for slope class maps where slopes were <4%. The maps were useful to soil scientists, especially where (i) class boundaries coincided with soil changes, landform delineations, land use and management separations, and vegetation changes, and (ii) rough terrain and dense vegetation made it difficult to traverse the area. In hot, arid areas of sparse vegetation, the relationship of slope classes to kinds of soil and vegetation was less significant.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Soil survey techniques, SSSA Special Publication 20","language":"English","publisher":"Soil Science Society of America","publisherLocation":"Madison, WI","doi":"10.2136/sssaspecpub20.c7","usgsCitation":"Klingebiel, A.A., Horvath, E.H., Moore, D.G., and Reybold, W., 1987, Use of slope, aspect, and elevation maps derived from digital elevation model data in making soil surveys, chap. of Soil survey techniques, SSSA Special Publication 20, p. 77-90, https://doi.org/10.2136/sssaspecpub20.c7.","productDescription":"14 p. ","startPage":"77","endPage":"90","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":336124,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2015-10-26","publicationStatus":"PW","scienceBaseUri":"58b002dbe4b01ccd54fb2813","contributors":{"authors":[{"text":"Klingebiel, A. A.","contributorId":74006,"corporation":false,"usgs":true,"family":"Klingebiel","given":"A.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":671293,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Horvath, E. H.","contributorId":182374,"corporation":false,"usgs":false,"family":"Horvath","given":"E.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":671294,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moore, D. G.","contributorId":7285,"corporation":false,"usgs":true,"family":"Moore","given":"D.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":671295,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reybold, W.U.","contributorId":182372,"corporation":false,"usgs":false,"family":"Reybold","given":"W.U.","affiliations":[],"preferred":false,"id":671296,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70181220,"text":"70181220 - 1987 - Dehydration of seabird prey during transport to the colony: Effects on wet weight energy densities","interactions":[],"lastModifiedDate":"2017-02-14T13:28:15","indexId":"70181220","displayToPublicDate":"1987-01-01T00:00:00","publicationYear":"1987","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1176,"text":"Canadian Journal of Zoology","active":true,"publicationSubtype":{"id":10}},"title":"Dehydration of seabird prey during transport to the colony: Effects on wet weight energy densities","docAbstract":"We present evidence to indicate that dehydration of prey transported by seabirds from capture sites at sea to chicks at colonies inflates estimates of wet weight energy densities. These findings and a comparison of wet and dry weight energy densities reported in the literature emphasize the importance of (i) accurate measurement of the fresh weight and water content of prey, (ii) use of dry weight energy densities in comparisons among species, seasons, and regions, and (iii) cautious interpretation and extrapolation of existing data sets.
","language":"English","publisher":"NRC Research Press","doi":"10.1139/z87-427","usgsCitation":"Montevecchi, W., and Piatt, J.F., 1987, Dehydration of seabird prey during transport to the colony: Effects on wet weight energy densities: Canadian Journal of Zoology, v. 65, no. 11, p. 2822-2824, https://doi.org/10.1139/z87-427.","productDescription":"3 p.","startPage":"2822","endPage":"2824","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":335205,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"65","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58a18228e4b0c825128564b8","contributors":{"authors":[{"text":"Montevecchi, W.A.","contributorId":62052,"corporation":false,"usgs":true,"family":"Montevecchi","given":"W.A.","affiliations":[],"preferred":false,"id":664670,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Piatt, John F. 0000-0002-4417-5748 jpiatt@usgs.gov","orcid":"https://orcid.org/0000-0002-4417-5748","contributorId":3025,"corporation":false,"usgs":true,"family":"Piatt","given":"John","email":"jpiatt@usgs.gov","middleInitial":"F.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":664671,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}