{"pageNumber":"2796","pageRowStart":"69875","pageSize":"25","recordCount":184617,"records":[{"id":53261,"text":"ofr03375 - 2003 - Ecosystem history of southern and central Biscayne Bay: Summary report on sediment core analyses","interactions":[],"lastModifiedDate":"2025-04-10T15:56:16.625538","indexId":"ofr03375","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2003-375","title":"Ecosystem history of southern and central Biscayne Bay: Summary report on sediment core analyses","docAbstract":"<p>During the last century, the environs of Biscayne Bay have been greatly affected by anthropogenic alteration through urbanization of the Miami/Dade County area. The sources, timing, delivery, and quality of freshwater flow into the Bay have been changed by construction of a complex canal system that controls movement of water throughout south Florida. Changes in shoreline and sub-aquatic vegetation and marine organisms have been observed and changes in water delivery are believed to be the cause.</p><p>Current restoration goals are attempting to restore natural flow of fresh water into Biscayne and Florida Bays and to restore the natural fauna and flora, but first we need to determine pre-alteration baseline conditions in order to establish targets and performance measures for restoration. This research is part of an ongoing study designed to address the needs of the Biscayne Bay Coastal Wetlands Project (BBCW) of the Comprehensive Everglades Restoration Plan (CERP).</p><p>By establishing the natural patterns of temporal change in salinity, water quality, vegetation, and benthic fauna in Biscayne Bay and the nearby wetlands over the last 100- 500 years the USGS, in collaboration with our partners, will provide the data necessary to set realistic targets to achieve the BBCW Project goals.</p><p>Six cores from three sites in Biscayne Bay were collected in April 2002 for multidisciplinary multi-proxy analyses. This report details the results of these analyses and compares the 2002 cores to cores collected in 1997. The following are our significant findings to date:</p><ul><li>The salinity of central Biscayne Bay has become increasingly marine and increasingly stable over the last 100 years.</li><ul><li>At No Name Bank, prior to approximately 1915, the inter-decadal and decadal salinity fluctuations appear to have been greater than after 1915 when salinities stabilized at that site.</li><li>Continental shelf/open marine influence on the sites has increased during the 20th century.</li><li>There is no indication of inter-decadal salinity extremes or periods of hypersalinity.</li><li>Freshwater and mesohaline salinities have had a minor influence on No Name bank throughout the time of deposition. At Featherbed Bank, the influence is reduced to mesohaline salinities.</li></ul><li>Card Bank has experienced relatively large swings in salinity over multi-decadal and centennial timescales, compared to central Biscayne Bay, but marine influence at the site has increased over the last century.</li><li>Indications of regional scale patterns have been found, especially in the shell chemistry data and the pollen assemblages. These regional patterns indicate that the changes are not site specific and may not be limited to Biscayne Bay.</li><li>Sub-aquatic vegetation has undergone bay-wide patterns of change over the last 200-500 years, which includes expansion prior to 1900 and declines during the last century in central Biscayne Bay.</li><li><ul><li>Thalassia appears to have increased at all three core sites sometime between 1550 and 1750 AD.</li><li>A decline in Thalassia appears to have occurred after 1950 at No Name Bank and slightly earlier in the 20th century at Featherbed Bank.</li><li>Card Bank does not appear to have experienced any declines in vegetation on an inter-decadal scale during the 20th century.</li></ul></li><li>Molluscan faunal abundance and diversity have undergone significant changes in central Biscayne Bay.</li><li>Indicators of increased organic-rich sediments at No Name occur between 1869 to 1888 and between the 1930’s to 1975. These changes may correlate to human activities (settlement, population growth).</li></ul><p>These findings represent a first step towards the project’s goal to reconstruct the history of Biscayne Bay and they provide us with a working model to be tested at other sites. It is clear from our findings that Biscayne Bay has been a dynamic environment over the last 500 years, with natural changes occurring in salinity and benthic habitats. However, several significant changes have occurred in the 20th century: 1) increased stabilization of marine salinities; 2) declines in seagrass in central Biscayne Bay; 3) dramatic changes in molluscan abundance and diversity in central Biscayne Bay. The question remains - how do we better differentiate natural cycles of change from anthropogenic change within these observed trends?</p><p>The preliminary implications from our research are that changes in salinity and benthic habitats have occurred naturally in Biscayne Bay on inter-decadal to centennial scales, perhaps due to climatic changes, changes in sea level, bank migrations, or a combination of factors. However, further work needs to be done to determine which components of change in the 20th century are human-induced and which are natural. By examining the historical records preserved in the sediments of Biscayne Bay, we can provide restoration trust agencies with the information necessary to set realistic targets and performance measures for Biscayne Bay.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr03375","usgsCitation":"Ecosystem history of southern and central Biscayne Bay; summary report on sediment core analyses; 2003; OFR; 2003-375; Wingard, G. L.; Cronin, T. M.; Dwyer, G. S.; Ishman, S. E.; Willard, D. A.; Holmes, C. W.; Bernhardt, C. E.; Williams, C. P.; Marot, M. E.; Murray, J. B.; Stamm, R. G.; Murray, J. H.; Budet, C.","productDescription":"111 p.","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":4938,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2003/0375/ofr03-375.pdf","text":"Report","size":"1.26 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 03-375"},{"id":174304,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2003/0375/coverthb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Biscayne Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.45837402343749,\n              25.152743274854956\n            ],\n            [\n              -80.06286621093749,\n              25.152743274854956\n            ],\n            [\n              -80.06286621093749,\n              26.21212691288088\n            ],\n            [\n              -80.45837402343749,\n              26.21212691288088\n            ],\n            [\n              -80.45837402343749,\n              25.152743274854956\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/car-fl-water\" data-mce-href=\"https://www.usgs.gov/centers/car-fl-water\">Caribbean-Florida Water Science Center</a><br>U.S. Geological Survey<br>3321 College Avenue<br>Davie, FL 33314</p><p><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","publishedDate":"2003-09-15","noUsgsAuthors":false,"publicationDate":"2003-09-15","publicationStatus":"PW","scienceBaseUri":"4f4e4a4be4b07f02db62597a","contributors":{"authors":[{"text":"Wingard, G. Lynn 0000-0002-3833-5207 lwingard@usgs.gov","orcid":"https://orcid.org/0000-0002-3833-5207","contributorId":605,"corporation":false,"usgs":true,"family":"Wingard","given":"G.","email":"lwingard@usgs.gov","middleInitial":"Lynn","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":247102,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cronin, Thomas M. 0000-0002-2643-0979 tcronin@usgs.gov","orcid":"https://orcid.org/0000-0002-2643-0979","contributorId":2579,"corporation":false,"usgs":true,"family":"Cronin","given":"Thomas","email":"tcronin@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":247097,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dwyer, G. S.","contributorId":39951,"corporation":false,"usgs":true,"family":"Dwyer","given":"G.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":247096,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ishman, S. E.","contributorId":20346,"corporation":false,"usgs":true,"family":"Ishman","given":"S. E.","affiliations":[],"preferred":false,"id":247093,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Willard, Debra  A. 0000-0003-4878-0942","orcid":"https://orcid.org/0000-0003-4878-0942","contributorId":85982,"corporation":false,"usgs":true,"family":"Willard","given":"Debra  A.","affiliations":[],"preferred":false,"id":247103,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Holmes, C. W.","contributorId":36076,"corporation":false,"usgs":true,"family":"Holmes","given":"C.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":247095,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bernhardt, C.E.","contributorId":65554,"corporation":false,"usgs":true,"family":"Bernhardt","given":"C.E.","email":"","affiliations":[],"preferred":false,"id":247100,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Williams, C.P.","contributorId":25410,"corporation":false,"usgs":true,"family":"Williams","given":"C.P.","email":"","affiliations":[],"preferred":false,"id":247094,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Marot, M. E.","contributorId":7733,"corporation":false,"usgs":true,"family":"Marot","given":"M.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":247092,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Murray, J.B.","contributorId":58858,"corporation":false,"usgs":true,"family":"Murray","given":"J.B.","email":"","affiliations":[],"preferred":false,"id":247098,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Stamm, R.G.","contributorId":59476,"corporation":false,"usgs":true,"family":"Stamm","given":"R.G.","email":"","affiliations":[],"preferred":false,"id":247099,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Murray, J.H.","contributorId":6716,"corporation":false,"usgs":true,"family":"Murray","given":"J.H.","email":"","affiliations":[],"preferred":false,"id":247091,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Budet, C.","contributorId":67772,"corporation":false,"usgs":true,"family":"Budet","given":"C.","affiliations":[],"preferred":false,"id":247101,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":52709,"text":"wri034220 - 2003 - Hydrology and water quality of Elkhead Creek and Elkhead Reservoir near Craig, Colorado, July 1995–September 2001","interactions":[],"lastModifiedDate":"2022-01-20T19:48:36.148351","indexId":"wri034220","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2003-4220","title":"Hydrology and water quality of Elkhead Creek and Elkhead Reservoir near Craig, Colorado, July 1995–September 2001","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the Colorado River Water Conservation District, collected and analyzed baseline streamflow and water-quality information for Elkhead Creek and water-quality and trophic-state information for Elkhead Reservoir from July 1995 through September 2001.</p><p>In the study area, Elkhead Creek is a meandering, alluvial stream dominated by snowmelt in mountainous headwaters that produces most of the annual discharge volume and discharge peaks during late spring and early summer. During most of water year 1996 (a typical year), daily mean discharge at station 09246400 (downstream from the reservoir) was similar to daily mean discharge at station 09246200 (upstream from the reservoir). Flow-duration curves for stations 09246200 and 09246400 were nearly identical, except for discharges less than about 10 cubic feet per second.</p><p>Specific conductance generally had an inverse relation to discharge in Elkhead Creek. During late fall and winter when discharge was small and derived mostly from ground water, specific conductance was high, whereas during spring and early summer, when discharge was large and derived mostly from snowmelt, specific conductance was low. Water temperatures in Elkhead Creek were smallest during winter, about 0.0 degrees Celsius (<sup>o</sup>C), and largest during summer, about 20–25<sup>o</sup>C.</p><p>Concentrations of major ions, nutrients, trace elements, organic carbon, and suspended sediment in Elkhead Creek indicated no substantial within-year variability and no substantial differences in variability from one year to the next. A seasonal pattern in the concentration data was evident for most constituents. The seasonal concentration pattern for most of the dissolved constituents followed the seasonal pattern of specific conductance, whereas some nutrients, some trace elements, and suspended sediment followed the seasonal pattern of discharge.</p><p>Statistical differences between station 09246200 (upstream from the reservoir) and station 09246400 (downstream from the reservoir) were indicated for specific conductance, dissolved calcium, magnesium, sodium, and sulfate, acid-neutralizing capacity, and dissolved solids. Trend analysis indicated upward temporal trends for pH, dissolved ammonia plus organic nitrogen, total nitrogen, and total phosphorus at station 09246200; upward temporal trends for dissolved and total ammonia plus organic nitrogen, total nitrogen, and total phosphorus were indicated at station 09246400. No downward trends were indicated for any constituents.</p><p>Annual loads for dissolved constituents during water years 1996–2001 were consistently larger at station 09246400 than at station 09246200, except for silica and sulfate. Mean monthly loads for dissolved constituents followed the seasonal pattern of discharge, indicating that most of the annual loads were transported during March–June. Annual dissolved nutrient loads at stations 09246400 and 09246200 were not substantially different, except for total phosphorus and total nitrogen loads, which were smaller at the downstream station than at the upstream station, most likely due to biological uptake and settling in the reservoir. Mean annual suspended-sediment load during water years 1996–2001 was about 87-percent smaller at the downstream station than at the upstream station.</p><p>Temperature in Elkhead Reservoir varied seasonally, from about 0<sup>o</sup>C during winter when ice develops on the reservoir to about 20<sup>o</sup>C during summer. Specific conductance varied from minimums of 138 to 169 microsiemens per centimeter at 25<sup>o</sup>C (µS/cm) during snowmelt inflow to maximums of 424 to 610 µS/cm during early spring low flow (April). Median pH in the reservoir ranged from 7.2 to 8.0 at all sites near the surface. Median dissolved oxygen ranged from 7.1 to 7.2 milligrams per liter (mg/L) in near-surface samples and from 4.8 to 5.6 mg/L in near-bottom samples.</p><p>During reservoir stratification, specific conductance generally was largest in the epilimnion, resulting from warm and relatively concentrated water from Elkhead Creek that was routed through the reservoir in the relatively warm epilimnion. The pH in the epilimnion generally increased from May to September, probably a result of algal productivity. In the hypolimnion, pH decreased slightly with depth in the July and September, probably a result of biomass decay processes and a lack of circulation during stratification.</p><p>Concentrations of nutrients in both near-surface and near-bottom samples from Elkhead Reservoir were highest during snowmelt inflow (April–May). Total phosphorus concentrations in near-surface samples generally were largest during runoff, whereas total phosphorus concentrations in near-bottom samples generally were largest during July or September. Concentrations of nitrite plus nitrate in near-surface samples were substantially depleted by biological uptake during July, September, and October, compared to near-bottom samples. Variations in concentration of chlorophyll-<i>a</i><span>&nbsp;</span>in near-surface samples were large during the growing season with peak seasonal concentrations during runoff or late summer and fall. Trophic state for Elkhead reservoir ranged from oligotrophic to eutrophic.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/wri034220","usgsCitation":"Kuhn, G., Stevens, M.R., and Elliott, J.G., 2003, Hydrology and water quality of Elkhead Creek and Elkhead Reservoir near Craig, Colorado, July 1995–September 2001: U.S. Geological Survey Water-Resources Investigations Report 2003-4220, 63 p., https://doi.org/10.3133/wri034220.","productDescription":"63 p.","costCenters":[],"links":[{"id":182125,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":5243,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri034220","linkFileType":{"id":5,"text":"html"}},{"id":394607,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_61979.htm"}],"country":"United States","state":"Colorado","city":"Craig","otherGeospatial":"Elkhead Creek and Elkhead Reservoir","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -107.5667,\n              40.4778\n            ],\n            [\n              -107.2583,\n              40.4778\n            ],\n            [\n              -107.2583,\n              40.6833\n            ],\n            [\n              -107.5667,\n              40.6833\n            ],\n            [\n              -107.5667,\n              40.4778\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1be4b07f02db6a88db","contributors":{"authors":[{"text":"Kuhn, Gerhard","contributorId":102080,"corporation":false,"usgs":true,"family":"Kuhn","given":"Gerhard","email":"","affiliations":[],"preferred":false,"id":245886,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stevens, Michael R. 0000-0002-9476-6335 mrsteven@usgs.gov","orcid":"https://orcid.org/0000-0002-9476-6335","contributorId":769,"corporation":false,"usgs":true,"family":"Stevens","given":"Michael","email":"mrsteven@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":245884,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elliott, John G. jelliott@usgs.gov","contributorId":832,"corporation":false,"usgs":true,"family":"Elliott","given":"John","email":"jelliott@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":245885,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":52664,"text":"wri024201 - 2003 - Quality-control results for ground-water and surface-water data, Sacramento River Basin, California, National Water-Quality Assessment, 1996-1998","interactions":[],"lastModifiedDate":"2012-02-02T00:11:26","indexId":"wri024201","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2002-4201","title":"Quality-control results for ground-water and surface-water data, Sacramento River Basin, California, National Water-Quality Assessment, 1996-1998","docAbstract":"Evaluating the extent that bias and variability affect the interpretation of ground- and surface-water data is necessary to meet the objectives of the National Water-Quality Assessment (NAWQA) Program. Quality-control samples used to evaluate the bias and variability include annual equipment blanks, field blanks, field matrix spikes, surrogates, and replicates. This report contains quality-control results for the constituents critical to the ground- and surface-water components of the Sacramento River Basin study unit of the NAWQA Program. A critical constituent is one that was detected frequently (more than 50 percent of the time in blank samples), was detected at amounts exceeding water-quality standards or goals, or was important for the interpretation of water-quality data. Quality-control samples were collected along with ground- and surface-water samples during the high intensity phase (cycle 1) of the Sacramento River Basin NAWQA beginning early in 1996 and ending in 1998. \r\n     Ground-water field blanks indicated contamination of varying levels of significance when compared with concentrations detected in environmental ground-water samples for ammonia, dissolved organic carbon, aluminum, and copper. Concentrations of aluminum in surface-water field blanks were significant when compared with environmental samples. Field blank samples collected for pesticide and volatile organic compound analyses revealed no contamination in either ground- or surface-water samples that would effect the interpretation of environmental data, with the possible exception of the volatile organic compound trichloromethane (chloroform) in ground water. \r\n     Replicate samples for ground water and surface water indicate that variability resulting from sample collection, processing, and analysis was generally low. Some of the larger maximum relative percentage differences calculated for replicate samples occurred between samples having lowest absolute concentration differences and(or) values near the reporting limit. \r\n     Surrogate recoveries for pesticides analyzed by gas chromatography/mass spectrometry (GC/MS), pesticides analyzed by high performance liquid chromatography (HPLC), and volatile organic compounds in ground- and surface-water samples were within the acceptable limits of 70 to 130 percent and median recovery values between 82 and 113 percent. The recovery percentages for surrogate compounds analyzed by HPLC had the highest standard deviation, 20 percent for ground-water samples and 16 percent for surface-water samples, and the lowest median values, 82 percent for ground-water samples and 91 percent for surface-water samples. Results were consistent with the recovery results described for the analytical methods. \r\n     Field matrix spike recoveries for pesticide compounds analyzed using GC/MS in ground- and surface-water samples were comparable with published recovery data. Recoveries of carbofuran, a critical constituent in ground- and surface-water studies, and desethyl atrazine, a critical constituent in the ground-water study, could not be calculated because of problems with the analytical method. Recoveries of pesticides analyzed using HPLC in ground- and surface-water samples were generally low and comparable with published recovery data. Other methodological problems for HPLC analytes included nondetection of the spike compounds and estimated values of spike concentrations. \r\n     Recovery of field matrix spikes for volatile organic compounds generally were within the acceptable range, 70 and 130 percent for both ground- and surface-water samples, and median recoveries from 62 to 127 percent. High or low recoveries could be related to errors in the field, such as double spiking or using spike solution past its expiration date, rather than problems during analysis. The methodological changes in the field spike protocol during the course of the Sacramento River Basin study, which included decreasing the amount of spike solu","language":"ENGLISH","doi":"10.3133/wri024201","usgsCitation":"Munday, C., and Domagalski, J.L., 2003, Quality-control results for ground-water and surface-water data, Sacramento River Basin, California, National Water-Quality Assessment, 1996-1998: U.S. Geological Survey Water-Resources Investigations Report 2002-4201, 54 p., https://doi.org/10.3133/wri024201.","productDescription":"54 p.","costCenters":[],"links":[{"id":178374,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":5162,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri024201/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adce4b07f02db68638f","contributors":{"authors":[{"text":"Munday, Cathy","contributorId":57538,"corporation":false,"usgs":true,"family":"Munday","given":"Cathy","affiliations":[],"preferred":false,"id":245744,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Domagalski, Joseph L. 0000-0002-6032-757X joed@usgs.gov","orcid":"https://orcid.org/0000-0002-6032-757X","contributorId":1330,"corporation":false,"usgs":true,"family":"Domagalski","given":"Joseph","email":"joed@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":245743,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":53014,"text":"fs09303 - 2003 - Tracking polychlorinated biphenyls in the Millers River basin, Massachusetts","interactions":[],"lastModifiedDate":"2012-02-02T00:11:26","indexId":"fs09303","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"093-03","title":"Tracking polychlorinated biphenyls in the Millers River basin, Massachusetts","language":"ENGLISH","doi":"10.3133/fs09303","usgsCitation":"Taggart, B.E., Colman, J.A., and Cooke, M.G., 2003, Tracking polychlorinated biphenyls in the Millers River basin, Massachusetts: U.S. Geological Survey Fact Sheet 093-03, 6 p., https://doi.org/10.3133/fs09303.","productDescription":"6 p.","costCenters":[],"links":[{"id":120657,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_093_03.bmp"},{"id":5122,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/fs09303/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b05e4b07f02db69983e","contributors":{"authors":[{"text":"Taggart, Bruce E. btaggart@usgs.gov","contributorId":144,"corporation":false,"usgs":true,"family":"Taggart","given":"Bruce","email":"btaggart@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":246379,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Colman, John A. 0000-0001-9327-0779 jacolman@usgs.gov","orcid":"https://orcid.org/0000-0001-9327-0779","contributorId":2098,"corporation":false,"usgs":true,"family":"Colman","given":"John","email":"jacolman@usgs.gov","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":246380,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cooke, Matthew G.","contributorId":57134,"corporation":false,"usgs":true,"family":"Cooke","given":"Matthew","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":246381,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70211114,"text":"70211114 - 2003 - Thermochronology of secondary minerals from the Yucca Mountain unsaturated zone","interactions":[],"lastModifiedDate":"2020-07-14T23:52:05.486822","indexId":"70211114","displayToPublicDate":"2003-12-31T18:40:51","publicationYear":"2003","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Thermochronology of secondary minerals from the Yucca Mountain unsaturated zone","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 10th international high-level radioactive waste management conference (IHLRWM)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"10th International High-level Radioactive Waste Management Conference","conferenceDate":"March 30-April 2, 2003","conferenceLocation":"Las Vegas, NV","language":"English","publisher":"American Nuclear Society","usgsCitation":"Whelan, J.F., Neymark, L., Moscati, R.J., and Roedder, E., 2003, Thermochronology of secondary minerals from the Yucca Mountain unsaturated zone, <i>in</i> Proceedings of the 10th international high-level radioactive waste management conference (IHLRWM), Las Vegas, NV, March 30-April 2, 2003, p. 357-366.","productDescription":"10 p.","startPage":"357","endPage":"366","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":376399,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Yucca Mountain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.48254394531249,\n              36.91352904330221\n            ],\n            [\n              -116.43602371215822,\n              36.91352904330221\n            ],\n            [\n              -116.43602371215822,\n              36.95757376878687\n            ],\n            [\n              -116.48254394531249,\n              36.95757376878687\n            ],\n            [\n              -116.48254394531249,\n              36.91352904330221\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Whelan, Joseph F.","contributorId":29792,"corporation":false,"usgs":true,"family":"Whelan","given":"Joseph","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":792822,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neymark, Leonid A. 0000-0003-4190-0278 lneymark@usgs.gov","orcid":"https://orcid.org/0000-0003-4190-0278","contributorId":140338,"corporation":false,"usgs":true,"family":"Neymark","given":"Leonid A.","email":"lneymark@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":792819,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roedder, Edwin","contributorId":25571,"corporation":false,"usgs":true,"family":"Roedder","given":"Edwin","affiliations":[],"preferred":false,"id":792820,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moscati, Richard J. 0000-0002-0818-4401 rmoscati@usgs.gov","orcid":"https://orcid.org/0000-0002-0818-4401","contributorId":2462,"corporation":false,"usgs":true,"family":"Moscati","given":"Richard","email":"rmoscati@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":792821,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70217566,"text":"70217566 - 2003 - A guide to sampling freshwater mussel populations","interactions":[],"lastModifiedDate":"2021-01-21T23:38:47.256553","indexId":"70217566","displayToPublicDate":"2003-12-31T17:33:41","publicationYear":"2003","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":15,"text":"Monograph"},"title":"A guide to sampling freshwater mussel populations","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"American Fisheries Society","usgsCitation":"Strayer, D., and Smith, D.R., 2003, A guide to sampling freshwater mussel populations, 110 p.","productDescription":"110 p.","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":382469,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Strayer, David L.","contributorId":238531,"corporation":false,"usgs":false,"family":"Strayer","given":"David L.","affiliations":[{"id":47722,"text":"Cary Institute of Ecosystem Studies, Millbrook, NY","active":true,"usgs":false}],"preferred":false,"id":808692,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":808693,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70221815,"text":"70221815 - 2003 - Natural remediation potential of arsenic-contaminated ground water","interactions":[],"lastModifiedDate":"2021-07-08T12:00:49.775085","indexId":"70221815","displayToPublicDate":"2003-12-31T16:20:42","publicationYear":"2003","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Natural remediation potential of arsenic-contaminated ground water","docAbstract":"<p><span>Migration of leachate from a municipal landfill in Saco, Maine has resulted in arsenic concentrations in ground water as high as&nbsp;</span>647 μg/L<span>. Laboratory experimental data indicate the primary source of arsenic to be reductive dissolution of arsenic-enriched iron oxyhydroxides in the aquifer by organic carbon in landfill leachate. A core from an uncontaminated part of the aquifer yielded no dissolved iron or arsenic when leached with oxic ground water. Eluent ground water spiked with organic carbon in order to create reducing conditions mobilized both ferrous iron and arsenite from this core. The landfill was capped in early 1998 to eliminate the source of leachate. Cores from the contaminated portion of the aquifer were collected and leached with uncontaminated ground water in the laboratory to simulate natural remediation conditions. Data from these experiments show that significant concentrations of labile organic carbon have accumulated on aquifer solids, causing significant biological oxygen demand. In laboratory leaching experiments of the most contaminated core, the organic carbon caused complete consumption of the influent dissolved oxygen (6 mg/L) for 220 pore volumes. Arsenic leaching from contaminated cores rapidly decreased in concentration initially in response to flushing with uncontaminated ground water. Subsequent leaching produced more gradual decreases in dissolved arsenic concentrations, controlled by a combination of reductive dissolution of arsenic-enriched iron oxyhydroxides and adsorption/desorption. In leachate from the most contaminatedcore, arsenic concentrations exceeded the new United States Environmental Protection Agency drinking-water standard of&nbsp;</span>10 μg/L<span>&nbsp;for more than 200 pore volumes. A geochemical model simulated the concentration of selected constituents as uncontaminated ground water eluted through contaminated aquifer solids. Concentrations of dissolved oxygen, arsenic, and iron, in leachate from one core were used to calibrate the model. This model was validated by successfully simulating constituent concentrations in leachate from cores collected from other contaminated areas of this aquifer.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Arsenic in Ground Water","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","usgsCitation":"Stollenwerk, K.G., and Colman, J.A., 2003, Natural remediation potential of arsenic-contaminated ground water, chap. <i>of</i> Arsenic in Ground Water, p. 351-379.","productDescription":"29 p.","startPage":"351","endPage":"379","costCenters":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"links":[{"id":387014,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Maine","city":"Saco","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -70.4676818847656,\n              43.45840174102617\n            ],\n            [\n              -70.37223815917966,\n              43.45840174102617\n            ],\n            [\n              -70.37223815917966,\n              43.569944310356256\n            ],\n            [\n              -70.4676818847656,\n              43.569944310356256\n            ],\n            [\n              -70.4676818847656,\n              43.45840174102617\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Stollenwerk, Kenneth G. kgstolle@usgs.gov","contributorId":578,"corporation":false,"usgs":true,"family":"Stollenwerk","given":"Kenneth","email":"kgstolle@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":818839,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Colman, John A. 0000-0001-9327-0779 jacolman@usgs.gov","orcid":"https://orcid.org/0000-0001-9327-0779","contributorId":2098,"corporation":false,"usgs":true,"family":"Colman","given":"John","email":"jacolman@usgs.gov","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":818840,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70206342,"text":"70206342 - 2003 - Electrical imaging of tracer migration at the Massachusetts Military Reservation, Cape Cod","interactions":[],"lastModifiedDate":"2020-04-06T22:51:57.438362","indexId":"70206342","displayToPublicDate":"2003-12-31T16:11:00","publicationYear":"2003","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Electrical imaging of tracer migration at the Massachusetts Military Reservation, Cape Cod","docAbstract":"<p>Electrical resistivity tomography (ERT) is examined as a method to provide spatially continuous information about aquifer properties through imaging of tracer flow and transport in an unconfined aquifer. Field data were collected at the Massachusetts Military Reservation, Cape Cod, Massachusetts, during the summer of 2002. High resolution images in both space and time of the movement of an electrically conductive sodium-chloride tracer in three dimensions (3-D) help delineate aquifer heterogeneity. Sixty 3-D data sets were collected between four corner-point wells for 20 days following the 9-hour injection. Concentrations were measured at a 15-point multilevel sampler centrally located within the ERT array, at the production well, and at two wells external to the central array.</p><p>The tomograms indicate movement of the saline tracer consistent with measured concentration data. The resistivity tomograms serve as an appropriate surrogate for concentration maps that are otherwise impossible to obtain. Under reasonable assumptions, estimates of groundwater.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings: Symposium on the Application of Geophysics to Engineering and Environmental Problems (SAGEEP)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Symposium on the Application of Geophysics to Engineering and Environmental Problems (SAGEEP)","conferenceDate":"April 6-10, 2003","conferenceLocation":"San Antonio TX","language":"English","publisher":"Environmental and Engineering Geophysical Society","usgsCitation":"Kamini Singha, Binley, A., Lane, J., and Gorelick, S.M., 2003, Electrical imaging of tracer migration at the Massachusetts Military Reservation, Cape Cod, <i>in</i> Proceedings: Symposium on the Application of Geophysics to Engineering and Environmental Problems (SAGEEP), San Antonio TX, April 6-10, 2003, 11 p.","productDescription":"11 p.","costCenters":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":368768,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368767,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://water.usgs.gov/ogw/bgas/publications/SAGEEP03_Singha/"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Massachusetts Military Reservation","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -70.58544158935547,\n              41.66803916450639\n            ],\n            [\n              -70.50029754638672,\n              41.66803916450639\n            ],\n            [\n              -70.50029754638672,\n              41.774896327485244\n            ],\n            [\n              -70.58544158935547,\n              41.774896327485244\n            ],\n            [\n              -70.58544158935547,\n              41.66803916450639\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kamini Singha","contributorId":200810,"corporation":false,"usgs":false,"family":"Kamini Singha","affiliations":[],"preferred":false,"id":774221,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Binley, Andrew 0000-0002-0938-9070","orcid":"https://orcid.org/0000-0002-0938-9070","contributorId":192556,"corporation":false,"usgs":false,"family":"Binley","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":774222,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lane, John W. Jr. 0000-0002-3558-243X","orcid":"https://orcid.org/0000-0002-3558-243X","contributorId":210076,"corporation":false,"usgs":true,"family":"Lane","given":"John W.","suffix":"Jr.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":774223,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gorelick, Steven M.","contributorId":8784,"corporation":false,"usgs":true,"family":"Gorelick","given":"Steven","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":774224,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70206341,"text":"70206341 - 2003 - Object-based inversion of crosswell radar tomography data to monitor vegetable-oil injection experiment","interactions":[],"lastModifiedDate":"2020-04-06T22:50:07.977306","indexId":"70206341","displayToPublicDate":"2003-12-31T16:05:47","publicationYear":"2003","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Object-based inversion of crosswell radar tomography data to monitor vegetable-oil injection experiment","docAbstract":"<p><span style=\"font-family: Arial, Helvetica, sans-serif;\">Crosswell radar tomography methods can be used to dynamically image ground-water flow and mass transport associated with tracer tests, hydraulic tests, and natural physical processes. Dynamic imaging can be used to identify preferential flow paths and to help characterize complex aquifer heterogeneity. Unfortunately, because the raypath coverage of the interwell region is limited by the borehole geometry, the tomographic inverse problem is typically underdetermined, and tomograms may contain artifacts such as spurious blurring or streaking that confuse interpretation.</span></p><p><span style=\"font-family: Arial, Helvetica, sans-serif;\">We implement<span>&nbsp;</span><i>object-based inversion</i><span>&nbsp;</span>(using a constrained, non-linear, least-squares algorithm) as an alternative to pixel-based inversion approaches that utilize regularization (such as damping or smoothing criteria). Our approach requires pre- and post-injection travel-time data. Parameterization of the image plane comprises a small number of objects rather than a large number of pixels, resulting in an overdetermined problem that reduces the need for prior information. The nature and geometry of the objects are based on hydrologic insight into aquifer characteristics, the nature of the experiment, and the planned use of the geophysical results.</span></p><p><span style=\"font-family: Arial, Helvetica, sans-serif;\">The object-based inversion approach is demonstrated using synthetic and crosswell radar field data acquired during vegetable-oil injection experiments at a site in Fridley, Minnesota. The region where oil has displaced ground water is discretized as a stack of rectangles of variable horizontal extents. The inversion provides the geometry of the affected region and an estimate of the radar slowness change for each rectangle. Applying petrophysical models to these results and porosity from neutron logs, we estimate that the vegetable-oil emulsion saturation in various layers ranges from 60 to 90%. Further work is needed to assess the accuracy of the emulsion saturation estimates.</span></p><p><span style=\"font-family: Arial, Helvetica, sans-serif;\">Using synthetic- and field-data examples, the object-based inversion approach is shown to be an effective strategy for inverting crosswell radar tomography data acquired to monitor the emplacement of vegetable-oil emulsions. A principal advantage of object-based inversion is that it yields images that hydrologists and engineers can easily interpret and use for model calibration.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings: Symposium on the Application of Geophysics to Engineering and Environmental Problems (SAGEEP)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Symposium on the Application of Geophysics to Engineering and Environmental Problems (SAGEEP)","conferenceDate":"April 6-10, 2003","conferenceLocation":"San Antonio TX","language":"English","publisher":"Environmental and Engineering Geophysical Society","usgsCitation":"Lane, J., Day-Lewis, F.D., Roelof J. Versteeg, and Casey, C., 2003, Object-based inversion of crosswell radar tomography data to monitor vegetable-oil injection experiment, <i>in</i> Proceedings: Symposium on the Application of Geophysics to Engineering and Environmental Problems (SAGEEP), San Antonio TX, April 6-10, 2003, 27 p.","productDescription":"27 p.","costCenters":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":368766,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368765,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://water.usgs.gov/ogw/bgas/publications/SAGEEP03_Lane/"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lane, John W. Jr. 0000-0002-3558-243X","orcid":"https://orcid.org/0000-0002-3558-243X","contributorId":210076,"corporation":false,"usgs":true,"family":"Lane","given":"John W.","suffix":"Jr.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":774217,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":774218,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roelof J. Versteeg","contributorId":199895,"corporation":false,"usgs":false,"family":"Roelof J. Versteeg","affiliations":[],"preferred":false,"id":774219,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Casey, C.C.","contributorId":10206,"corporation":false,"usgs":true,"family":"Casey","given":"C.C.","email":"","affiliations":[],"preferred":false,"id":774220,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70221814,"text":"70221814 - 2003 - Arsenic in ground water used for drinking water in the United States","interactions":[],"lastModifiedDate":"2021-07-08T12:02:15.079567","indexId":"70221814","displayToPublicDate":"2003-12-31T16:05:18","publicationYear":"2003","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Arsenic in ground water used for drinking water in the United States","docAbstract":"<p><span>The U.S. Environmental Protection Agency recently established a new maximum contaminant level of 10 micrograms per liter for arsenic in drinking water in the United States. Ground water is the primary source of drinking water for half the population of the United States. Several national assessments have found that high arsenic concentrations (above 10 micrograms per liter) are widespread in drinking-water aquifers in the western United States, the Great Lakes region, and New England. Moderate to high concentrations were identified in ground water in parts of the central and southern United States. This chapter summarizes national trends in the use of ground water as drinking water, and national estimates of arsenic occurrence in potable ground water. The chapter also briefly describes several studies on arsenic in specific settings and water-use scenarios; these studies illustrate by example the potential power of a regional approach to understanding and managing arsenic in drinking water.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Arsenic in Ground Water","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/0-306-47956-7_6","usgsCitation":"Ryker, S.J., 2003, Arsenic in ground water used for drinking water in the United States, chap. <i>of</i> Arsenic in Ground Water, p. 165-178, https://doi.org/10.1007/0-306-47956-7_6.","productDescription":"14 p.","startPage":"165","endPage":"178","costCenters":[{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true}],"links":[{"id":387013,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ryker, Sarah J. 0000-0002-1004-5611 sryker@usgs.gov","orcid":"https://orcid.org/0000-0002-1004-5611","contributorId":4100,"corporation":false,"usgs":true,"family":"Ryker","given":"Sarah","email":"sryker@usgs.gov","middleInitial":"J.","affiliations":[{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true}],"preferred":true,"id":818838,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70206818,"text":"70206818 - 2003 - Ecology and objective-based management: Case study of the Keoladeo National Park, Bharatpur, Rajasthan","interactions":[],"lastModifiedDate":"2019-12-23T08:45:07","indexId":"70206818","displayToPublicDate":"2003-12-31T15:56:41","publicationYear":"2003","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"3","title":"Ecology and objective-based management: Case study of the Keoladeo National Park, Bharatpur, Rajasthan","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Battles over nature: Science and the politics of conservation","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Permanent Black","usgsCitation":"Middleton, B., 2003, Ecology and objective-based management: Case study of the Keoladeo National Park, Bharatpur, Rajasthan, chap. 3 <i>of</i> Battles over nature: Science and the politics of conservation, p. 86-116.","productDescription":"31 p.","startPage":"86","endPage":"116","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":369501,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"India","state":"Rajasthan","city":"Bharatpur","otherGeospatial":"Keoladeo National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              77.47833251953125,\n              27.12025746900064\n            ],\n            [\n              77.57240295410156,\n              27.12025746900064\n            ],\n            [\n              77.57240295410156,\n              27.20700708181174\n            ],\n            [\n              77.47833251953125,\n              27.20700708181174\n            ],\n            [\n              77.47833251953125,\n              27.12025746900064\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Middleton, Beth 0000-0002-1220-2326","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":206684,"corporation":false,"usgs":true,"family":"Middleton","given":"Beth","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":775924,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70206340,"text":"70206340 - 2003 - Continuous-resistivity profiling for coastal ground-water investigations: Three case studies","interactions":[],"lastModifiedDate":"2019-10-30T16:02:42","indexId":"70206340","displayToPublicDate":"2003-12-31T15:52:26","publicationYear":"2003","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Continuous-resistivity profiling for coastal ground-water investigations: Three case studies","docAbstract":"<p><span>Continuous-resistivity profiling (CRP) was used at three sites to investigate submarine groundwater discharge (SGD) and to delineate the subsurface saltwater/freshwater interface. At the first site, in Georgetown, South Carolina, CRP was used to locate possible areas of SGD in the Winyah Bay estuary. The data show evidence of SGD in the Pee Dee River, feeding into Winyah Bay, at approximately the location of the forest/marsh boundary. In Waquoit Bay, Massachusetts, CRP was used to further map the extent of SGD already measured by sea floor seepage meters and to delineate the subsurface saltwater/freshwater boundary. The data show evidence for a focused groundwater plume beneath the bay that may extend 350 meters (m) out from the shore. Finally, CRP was used in Orleans, Massachusetts, to verify a groundwater model prediction of freshwater-saturated sediments underlying an area of Cape Cod Bay, just west of Rock Harbor. The data support the prediction of freshwater-saturated sediments beneath the bay. Results from all three sites show the value of CRP in coastal groundwater investigations.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings: Symposium on the Application of Geophysics to Engineering and Environmental Problems (SAGEEP)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Symposium on the Application of Geophysics to Engineering and Environmental Problems (SAGEEP)","conferenceDate":"April 6-10, 2003","conferenceLocation":"San Antonio TX","language":"English","publisher":"Environmental and Engineering Geophysical Society","usgsCitation":"Belaval, M., Lane, J., Lesmes, D., and Kineke, G.C., 2003, Continuous-resistivity profiling for coastal ground-water investigations: Three case studies, <i>in</i> Proceedings: Symposium on the Application of Geophysics to Engineering and Environmental Problems (SAGEEP), San Antonio TX, April 6-10, 2003, 14 p.","productDescription":"14 p.","costCenters":[{"id":494,"text":"Office of Groundwater","active":false,"usgs":true}],"links":[{"id":368764,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368763,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://water.usgs.gov/ogw/bgas/publications/SAGEEP03_Belaval/"}],"country":"United States","state":"Massachusetts, South Carolina","city":"Orleans","otherGeospatial":"Waquoit Bay, Winyah Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -69.99046325683594,\n              41.78206502192826\n            ],\n            [\n              -69.95269775390624,\n              41.78206502192826\n            ],\n            [\n              -69.95269775390624,\n              41.81738473661011\n            ],\n            [\n              -69.99046325683594,\n              41.81738473661011\n            ],\n            [\n              -69.99046325683594,\n              41.78206502192826\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -70.53385734558105,\n              41.54764462357737\n            ],\n            [\n              -70.51179885864258,\n              41.54764462357737\n            ],\n            [\n              -70.51179885864258,\n              41.580139904121495\n            ],\n            [\n              -70.53385734558105,\n              41.580139904121495\n            ],\n            [\n              -70.53385734558105,\n              41.54764462357737\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.30343627929688,\n              33.195029344358204\n            ],\n            [\n              -79.16404724121094,\n              33.195029344358204\n            ],\n            [\n              -79.16404724121094,\n              33.416541094124085\n            ],\n            [\n              -79.30343627929688,\n              33.416541094124085\n            ],\n            [\n              -79.30343627929688,\n              33.195029344358204\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Belaval, Marcel 0000-0002-4049-6798","orcid":"https://orcid.org/0000-0002-4049-6798","contributorId":207205,"corporation":false,"usgs":false,"family":"Belaval","given":"Marcel","email":"","affiliations":[{"id":37476,"text":"U.S. EPA, Region 1","active":true,"usgs":false}],"preferred":false,"id":774213,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lane, John W. Jr. 0000-0002-3558-243X","orcid":"https://orcid.org/0000-0002-3558-243X","contributorId":210076,"corporation":false,"usgs":true,"family":"Lane","given":"John W.","suffix":"Jr.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":774214,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lesmes, David P.","contributorId":220129,"corporation":false,"usgs":false,"family":"Lesmes","given":"David P.","affiliations":[],"preferred":false,"id":774215,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kineke, G. C.","contributorId":48122,"corporation":false,"usgs":true,"family":"Kineke","given":"G.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":774216,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70205507,"text":"70205507 - 2003 - Preparing for climate change: The potential consequences of climate variability and change","interactions":[],"lastModifiedDate":"2019-12-22T15:04:37","indexId":"70205507","displayToPublicDate":"2003-12-31T15:00:36","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"seriesTitle":{"id":5863,"text":"Findings of the Gulf Coast Regional Assessment","active":true,"publicationSubtype":{"id":9}},"title":"Preparing for climate change: The potential consequences of climate variability and change","docAbstract":"<p>Over the past decades, scientific research has greatly advanced the knowledge and understanding of global environmental change. Research supported by the U. S. Global Change&nbsp;Research Programme (USGCRP) and research and assessment results by international organizations such as the Intergovernmental Panel on Climate Change (IPCC), the World&nbsp;Climate Research Program (WCRP), and the International Geosphere and Biosphere&nbsp;Programme (IGBP) have demonstrated that human activities exert powerful environmental&nbsp;influences on global, regional, and local scales.&nbsp;Recent findings by the Intergovernmental Panel on&nbsp;Climate Change (IPCC, 1997) indicate that human&nbsp;activities are increasing the atmospheric concentrations of carbon dioxide (CO<sub>2</sub>) and other greenhouse&nbsp;gases such as nitrous oxide (NO<sub>x</sub>), methane (CH<sub>4</sub>),&nbsp;chlorofluorocarbons (CFCS), partially halogenated fluorocarbons, and ozone (O<sub>3</sub>), which alter radiative&nbsp;balances, and tend to warm the Earth’s surface.</p><p>These changes in greenhouse gases and aerosols&nbsp;constitute key factors in global and regional changes&nbsp;in temperature, precipitation, and other climate variables, resulting in local and regional changes in soil&nbsp;moisture, an increase in global mean sea level, and&nbsp;prospects for more severe extreme high temperature&nbsp;events, floods, and droughts in some places. In the&nbsp;United States and elsewhere in the industrialized&nbsp;world, energy use contributes to global warming&nbsp;more than any other human activity. This is because&nbsp;most of our energy comes from carbon-based fossil&nbsp;fuels (coal, oil, and natural gas). Fossil fuels provide&nbsp;energy for a variety of purposes, including transporting goods and people, manufacturing products, heating and cooling buildings, lighting spaces, and cooking foods. Each year U.S. energy use releases more&nbsp;than 5.5 billion tons of carbon dioxide into the&nbsp;atmosphere.</p><p>Present global CO2 concentrations in the atmosphere&nbsp;are 130% of pre-industrial levels (Figure 1). The&nbsp;global surface temperature last century is warmer&nbsp;than any other century in the past millennium. The&nbsp;global average temperature has increased by about&nbsp;1<sup>o&nbsp;</sup>F over the last century and is projected to rise&nbsp;another 2-6.5<sup>o&nbsp;</sup>F by year 2100 (Figure 2). The last two&nbsp;decades have been the&nbsp;warmest last century.&nbsp;Average global sea level&nbsp;has risen about 4 to 10 inches in the last hundred years, and is projected to rise another 6-38 inches by year 2100.&nbsp;Mid- and low- latitude&nbsp;mountain glaciers have&nbsp;retreated world-wide&nbsp;last century.<br></p><p>As greenhouse gases&nbsp;continue to accumulate&nbsp;in the atmosphere, it is&nbsp;expected that an increase&nbsp;in rainfall amount and&nbsp;consequent increase in&nbsp;river flooding will occur. Recent floods in the Gulf Coast areas (1993, 1997) are examples&nbsp;of such events, and perhaps indicate the high sensitivity of flood occurrence to changing&nbsp;climate. Because of its unique location adjacent to the Gulf of Mexico, the Gulf Coast&nbsp;region of the United States is particularly vulnerable to various environmental alterations&nbsp;resulting from climate change.&nbsp;</p>","language":"English","publisher":"GCRCC","isbn":"1930129009","usgsCitation":"Ning, Z., Turner, R.E., Doyle, T., Abdollahi, K., Thornton, A., Reyes, E., Justic, D., Swenson, E., Khairy, W., and Liu, K., 2003, Preparing for climate change: The potential consequences of climate variability and change: Findings of the Gulf Coast Regional Assessment, iv, 80 p.","productDescription":"iv, 80 p.","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":367567,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":367566,"rank":1,"type":{"id":15,"text":"Index 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,{"id":70205504,"text":"70205504 - 2003 - Comparing groups using structural equations","interactions":[{"subject":{"id":70205504,"text":"70205504 - 2003 - Comparing groups using structural equations","indexId":"70205504","publicationYear":"2003","noYear":false,"chapter":"11","title":"Comparing groups using structural equations"},"predicate":"IS_PART_OF","object":{"id":70006389,"text":"70006389 - 2003 - Structural Equation Modeling: Applications in ecological and evolutionary biology","indexId":"70006389","publicationYear":"2003","noYear":false,"title":"Structural Equation Modeling: Applications in ecological and evolutionary biology"},"id":1}],"isPartOf":{"id":70006389,"text":"70006389 - 2003 - Structural Equation Modeling: Applications in ecological and evolutionary biology","indexId":"70006389","publicationYear":"2003","noYear":false,"title":"Structural Equation Modeling: Applications in ecological and evolutionary biology"},"lastModifiedDate":"2019-11-01T11:09:14","indexId":"70205504","displayToPublicDate":"2003-12-31T14:46:44","publicationYear":"2003","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"chapter":"11","title":"Comparing groups using structural equations","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Structural equation modeling: Applications in ecological and evolutionary biology research","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Cambridge University Press","isbn":"9780521104029","usgsCitation":"Grace, J.B., 2003, Comparing groups using structural equations, chap. 11 <i>of</i> Structural equation modeling: Applications in ecological and evolutionary biology research, p. 281-296.","productDescription":"16 p.","startPage":"281","endPage":"296","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":367563,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":367562,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.cambridge.org/us/academic/subjects/life-sciences/ecology-and-conservation/structural-equation-modeling-applications-ecological-and-evolutionary-biology"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Grace, James B. 0000-0001-6374-4726 gracej@usgs.gov","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":884,"corporation":false,"usgs":true,"family":"Grace","given":"James","email":"gracej@usgs.gov","middleInitial":"B.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":771435,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70204686,"text":"70204686 - 2003 - The seagrasses of the Gulf of Mexico","interactions":[],"lastModifiedDate":"2019-08-08T14:10:56","indexId":"70204686","displayToPublicDate":"2003-12-31T13:58:43","publicationYear":"2003","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"chapter":"22","title":"The seagrasses of the Gulf of Mexico","docAbstract":"<p>The Gulf of Mexico is a vast basin of water, spanning 12° of latitude, from 18° to 30°N. and&nbsp;17° of longitude, from 81° to 98°W. It is bisected&nbsp;by the Tropic of Cancer and is largely subtropical;&nbsp;however, along the northern edge, up to five days with&nbsp;freezing temperatures are probable on an annual basis. The coastal fringe is moist, with annual precipitation in excess of 1 000 mm, except for southern Texas and&nbsp;northern Mexico. Precipitation is concentrated in the summer period, most pronounced along the coast of Mexico and least pronounced along the coast of&nbsp;Louisiana. Most of the Gulf of Mexico is fringed by a broad coastal plain, except for northwestern Cuba and&nbsp;sections of the Mexican coast near Veracruz. The inner&nbsp;continental shelf to a depth of 20 m is broad off the western side of the Yucatan Peninsula, along the coast&nbsp;of Louisiana and along the western side of Florida, extending as much as 80 km offshore to the tip of&nbsp;Florida. Elsewhere, the inner shelf is relatively narrow. Most of the rivers draining into the Gulf of Mexico have&nbsp;restricted catchments, except along the north shore, most obviously the Mississippi River, and parts of the western gulf, including the Rios Bravo IGrandel, Panuco, Grijalva and Usumacinta. Barrier islands and&nbsp;spits are prominent features along much of the coast, and coral reefs shelter the large expanse of water off&nbsp;the southern tip of Florida and off the coasts of Veracruz, Campeche, Yucatan and northwestern Cuba. 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,{"id":70207759,"text":"70207759 - 2003 - Understanding climatic impacts, vulnerabilities, and adaptation in the United States: Building a capacity for assessment","interactions":[],"lastModifiedDate":"2020-01-09T13:51:40","indexId":"70207759","displayToPublicDate":"2003-12-31T13:37:49","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Understanding climatic impacts, vulnerabilities, and adaptation in the United States: Building a capacity for assessment","docAbstract":"<p><span>Based on the experience of the U.S. National Assessment, we propose a program of research and analysis to advance capability for assessment of climate impacts, vulnerabilities, and adaptation options. 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,{"id":70209812,"text":"70209812 - 2003 - U-series disequilibrium as a test for unsaturated-zone hydrologic models at Yucca Mountain, Nevada","interactions":[],"lastModifiedDate":"2020-05-01T17:56:42.647124","indexId":"70209812","displayToPublicDate":"2003-12-31T13:26:45","publicationYear":"2003","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"U-series disequilibrium as a test for unsaturated-zone hydrologic models at Yucca Mountain, Nevada","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 10th international high-level radioactive waste management conference (IHLRWM)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"10th International High-level Radioactive Waste Management Conference (IHLRWM)","conferenceDate":"Mar 30 - Apr 2, 2003","conferenceLocation":"Las Vegas, NV","language":"English","publisher":"American Nuclear Society","usgsCitation":"Paces, J.B., and Neymark, L., 2003, U-series disequilibrium as a test for unsaturated-zone hydrologic models at Yucca Mountain, Nevada, <i>in</i> Proceedings of the 10th international high-level radioactive waste management conference (IHLRWM), Las Vegas, NV, Mar 30 - Apr 2, 2003, p. 27-38.","productDescription":"12 p.","startPage":"27","endPage":"38","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":374370,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Yucca Mountain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.48254394531249,\n              36.91352904330221\n            ],\n            [\n              -116.43602371215822,\n              36.91352904330221\n            ],\n            [\n              -116.43602371215822,\n              36.95757376878687\n            ],\n            [\n              -116.48254394531249,\n              36.95757376878687\n            ],\n            [\n              -116.48254394531249,\n              36.91352904330221\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Paces, James B. 0000-0002-9809-8493 jbpaces@usgs.gov","orcid":"https://orcid.org/0000-0002-9809-8493","contributorId":2514,"corporation":false,"usgs":true,"family":"Paces","given":"James","email":"jbpaces@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":788130,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neymark, Leonid A. 0000-0003-4190-0278 lneymark@usgs.gov","orcid":"https://orcid.org/0000-0003-4190-0278","contributorId":140338,"corporation":false,"usgs":true,"family":"Neymark","given":"Leonid A.","email":"lneymark@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":788131,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70205798,"text":"70205798 - 2003 - Application of artificial neural networks to complex groundwater management problems","interactions":[],"lastModifiedDate":"2019-10-03T13:30:09","indexId":"70205798","displayToPublicDate":"2003-12-31T13:23:28","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2832,"text":"Natural Resources Research","onlineIssn":"1573-8981","printIssn":"1520-7439","active":true,"publicationSubtype":{"id":10}},"title":"Application of artificial neural networks to complex groundwater management problems","docAbstract":"<p><span>As water quantity and quality problems become increasingly severe, accurate prediction and effective management of scarcer water resources will become critical. In this paper, the successful application of artificial neural network (ANN) technology is described for three types of groundwater prediction and management problems. In the first example, an ANN was trained with simulation data from a physically based numerical model to predict head (groundwater elevation) at locations of interest under variable pumping and climate conditions. The ANN achieved a high degree of predictive accuracy, and its derived state-transition equations were embedded into a multiobjective optimization formulation and solved to generate a trade-off curve depicting water supply in relation to contamination risk. In the second and third examples, ANNs were developed with real-world hydrologic and climate data for different hydrogeologic environments. For the second problem, an ANN was developed using data collected for a 5-year, 8-month period to predict heads in a multilayered surficial and limestone aquifer system under variable pumping, state, and climate conditions. Using weekly stress periods, the ANN substantially outperformed a well-calibrated numerical flow model for the 71-day validation period, and provided insights into the effects of climate and pumping on water levels. For the third problem, an ANN was developed with data collected automatically over a 6-week period to predict hourly heads in 11 high-capacity public supply wells tapping a semiconfined bedrock aquifer and subject to large well-interference effects. Using hourly stress periods, the ANN accurately predicted heads for 24-hour periods in all public supply wells. These test cases demonstrate that the ANN technology can solve a variety of complex groundwater management problems and overcome many of the problems and limitations associated with traditional physically based flow models.</span></p>","language":"English","publisher":"Springer","doi":"10.1023/B:NARR.0000007808.11860.7e","usgsCitation":"Coppola, E., Poulton, M., Charles, E.G., Dustman, J., and Szidarovszky, F., 2003, Application of artificial neural networks to complex groundwater management problems: Natural Resources Research, v. 12, no. 4, p. 303-320, https://doi.org/10.1023/B:NARR.0000007808.11860.7e.","productDescription":"18 p.","startPage":"303","endPage":"320","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":367974,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Coppola, Emery Jr.","contributorId":219496,"corporation":false,"usgs":false,"family":"Coppola","given":"Emery","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":772384,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poulton, Mary","contributorId":219497,"corporation":false,"usgs":false,"family":"Poulton","given":"Mary","email":"","affiliations":[],"preferred":false,"id":772385,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Charles, Emmanuel G. 0000-0002-3338-4958 echarles@usgs.gov","orcid":"https://orcid.org/0000-0002-3338-4958","contributorId":4280,"corporation":false,"usgs":true,"family":"Charles","given":"Emmanuel","email":"echarles@usgs.gov","middleInitial":"G.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":772386,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dustman, John","contributorId":219498,"corporation":false,"usgs":false,"family":"Dustman","given":"John","email":"","affiliations":[],"preferred":false,"id":772387,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Szidarovszky, F.","contributorId":30457,"corporation":false,"usgs":true,"family":"Szidarovszky","given":"F.","email":"","affiliations":[],"preferred":false,"id":772388,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70209811,"text":"70209811 - 2003 - Reliability of U-Th-Pb dating of secondary silica at Yucca Mountain, Nevada","interactions":[],"lastModifiedDate":"2020-04-29T18:25:05.132278","indexId":"70209811","displayToPublicDate":"2003-12-31T13:22:51","publicationYear":"2003","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Reliability of U-Th-Pb dating of secondary silica at Yucca Mountain, Nevada","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 10th international high-level radioactive waste management conference (IHLRWM)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"10th International High-level Radioactive Waste Management Conference (IHLRWM)","conferenceDate":"Mar 30 - Apr 2, 2003","conferenceLocation":"Las Vegas, NV","language":"English","publisher":"American Nuclear Society","usgsCitation":"Neymark, L., Paces, J.B., and Amelin, Y.V., 2003, Reliability of U-Th-Pb dating of secondary silica at Yucca Mountain, Nevada, <i>in</i> Proceedings of the 10th international high-level radioactive waste management conference (IHLRWM), Las Vegas, NV, Mar 30 - Apr 2, 2003, p. 1-12.","productDescription":"12 p.","startPage":"1","endPage":"12","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":374369,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"yucca Mountain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.48254394531249,\n              36.91352904330221\n            ],\n            [\n              -116.43602371215822,\n              36.91352904330221\n            ],\n            [\n              -116.43602371215822,\n              36.95757376878687\n            ],\n            [\n              -116.48254394531249,\n              36.95757376878687\n            ],\n            [\n              -116.48254394531249,\n              36.91352904330221\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Neymark, Leonid A. 0000-0003-4190-0278 lneymark@usgs.gov","orcid":"https://orcid.org/0000-0003-4190-0278","contributorId":140338,"corporation":false,"usgs":true,"family":"Neymark","given":"Leonid A.","email":"lneymark@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":788127,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paces, James B. 0000-0002-9809-8493 jbpaces@usgs.gov","orcid":"https://orcid.org/0000-0002-9809-8493","contributorId":2514,"corporation":false,"usgs":true,"family":"Paces","given":"James","email":"jbpaces@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":788128,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Amelin, Y. V.","contributorId":89679,"corporation":false,"usgs":true,"family":"Amelin","given":"Y.","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":788129,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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