{"pageNumber":"798","pageRowStart":"19925","pageSize":"25","recordCount":40754,"records":[{"id":98684,"text":"sir20105148 - 2010 - Macroinvertebrate-based assessment of biological condition at selected sites in the Eagle River watershed, Colorado, 2000-07","interactions":[],"lastModifiedDate":"2012-02-10T00:11:57","indexId":"sir20105148","displayToPublicDate":"2010-09-10T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5148","title":"Macroinvertebrate-based assessment of biological condition at selected sites in the Eagle River watershed, Colorado, 2000-07","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the Colorado River Water Conservation District, Eagle County, Eagle River Water and Sanitation District, Upper Eagle Regional Water Authority, Colorado Department of Transportation, City of Aurora, Town of Eagle, Town of Gypsum, Town of Minturn, Town of Vail, Vail Resorts, Colorado Springs Utilities, Denver Water, and the U.S. Department of Agriculture Forest Service (FS), compiled macroinvertebrate (73 sites, 124 samples) data previously collected in the Eagle River watershed from selected USGS and FS studies, 2000-07. These data were analyzed to assess the biological condition (that is, biologically ?degraded? or ?good?) at selected sites in the Eagle River watershed and determine if site class (for example, urban or undeveloped) described biological condition. \r\n\r\nAn independently developed predictive model was applied to calculate a site-specific measure of taxonomic completeness for macroinvertebrate communities, where taxonomic completeness was expressed as the ratio of observed (O) taxa to those expected (E) to occur at each site. Macroinvertebrate communities were considered degraded at sites were O/E values were less than 0.80, indicating that at least 20 percent of expected taxa were not observed. Sites were classified into one of four classes (undeveloped, adjacent road or highway or both, mixed, urban) using a combination of riparian land-cover characteristics, examination of topographic maps and aerial imagery, screening for exceedances in water-quality standards, and best professional judgment. Analysis of variance was used to determine if site class accounted for variability in mean macroinvertebrate O/E values. Finally, macroinvertebrate taxa observed more or less frequently than expected at urban sites were indentified. \r\n\r\nThis study represents the first standardized assessment of biological condition of selected sites distributed across the Eagle River watershed. Of the 73 sites evaluated, just over half (55 percent) were considered in good biological condition (O/E greater than 0.80). The remaining sites were either consistently biologically degraded (30 percent; O/E less than 0.80) or varied annually between good and degraded condition (15 percent; O/E is less than or greater than 0.80). Sites primarily affected by urbanization were among the most severely degraded (lowest O/E values) when compared to other site classes. Although most urban sites were among the most severely degraded (lowest O/E values), a few sites had nearly intact macroinvertebrate communities (O/E near 1.0). Similar observations were noted among sites classified as mixed. \r\n\r\nThirteen macroinvertebrate taxa were indentified that occurred more or less frequently than expected at urban sites. Additionally, six other taxa were impartial (tolerant) to the same conditions. Combined, these 19 taxa provide an opportunity to enhance the interpretation of future studies in the Eagle River watershed, but will require better insight into the responses of these taxa to specific stressors. Understanding the sources of variability affecting biological condition along with why some sites expected to be degraded, but showed otherwise, will have clear implications for mitigation efforts. Integrating results of this study with field and laboratory investigations will greatly enhance the ability to identify causal factors affecting biological condition at degraded sites, the logical next step. Information generated from such integrative studies will be imperative for well targeted mitigation efforts in the Eagle River watershed. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105148","collaboration":"Prepared in cooperation with the Colorado River Water Conservation District, Eagle County, Eagle River Water and Sanitation District, Upper Eagle Regional Water Authority, Colorado Department of Transportation, City of Aurora, Town of Eagle, Town of Gypsum, Town of Minturn, Town of Vail, Vail Resorts, Colorado Springs Utilities, Denver Water, and the U.S. Department of Agriculture Forest Service","usgsCitation":"Zuellig, R.E., Bruce, J.F., Healy, B., and Williams, C.A., 2010, Macroinvertebrate-based assessment of biological condition at selected sites in the Eagle River watershed, Colorado, 2000-07: U.S. Geological Survey Scientific Investigations Report 2010-5148, vi, 19 p., https://doi.org/10.3133/sir20105148.","productDescription":"vi, 19 p.","additionalOnlineFiles":"N","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":115939,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5148.jpg"},{"id":14089,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5148/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -107,39 ], [ -107,40 ], [ -106.16666666666667,40 ], [ -106.16666666666667,39 ], [ -107,39 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a7fe4b07f02db6491d5","contributors":{"authors":[{"text":"Zuellig, Robert E. 0000-0002-4784-2905 rzuellig@usgs.gov","orcid":"https://orcid.org/0000-0002-4784-2905","contributorId":1620,"corporation":false,"usgs":true,"family":"Zuellig","given":"Robert","email":"rzuellig@usgs.gov","middleInitial":"E.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306118,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bruce, James F. 0000-0003-3125-2932 jbruce@usgs.gov","orcid":"https://orcid.org/0000-0003-3125-2932","contributorId":916,"corporation":false,"usgs":true,"family":"Bruce","given":"James","email":"jbruce@usgs.gov","middleInitial":"F.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":306117,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Healy, Brian D.","contributorId":61553,"corporation":false,"usgs":true,"family":"Healy","given":"Brian D.","affiliations":[],"preferred":false,"id":306119,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Cory A. 0000-0003-1461-7848 cawillia@usgs.gov","orcid":"https://orcid.org/0000-0003-1461-7848","contributorId":689,"corporation":false,"usgs":true,"family":"Williams","given":"Cory","email":"cawillia@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306116,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70256014,"text":"70256014 - 2010 - A method for land surveying sampling optimization strategy","interactions":[],"lastModifiedDate":"2024-07-12T16:26:07.524499","indexId":"70256014","displayToPublicDate":"2010-09-09T11:16:54","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"A method for land surveying sampling optimization strategy","docAbstract":"<p><span>At present, how to select a limited but representative sample dataset from the existing land information database to guide the new round of land survey and assessment sampling is a critical issue for land sampling strategy study. As a case study to determine and analyze the sample capacity and sample spatial location of land survey sampling for the study area, Panyu District in Guangzhou, the paper developed the strategy based on the combination of classical sampling technique and geographical model under a certain confidence level and estimation accuracy requirement, and the performance of the sampling strategy was then evaluated by the Global Geary's C and the Quick-BP neural network model respectively. The test result showed that, compared with traditional c-means clustering sampling method, the accuracy of the sampling prediction based on local Moran index spatial clustering sampling method was increased by 13.57% which abstracted better the land information in the database.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"2010 18th International conference on geoinformatics","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"18th International Conference on Geoinformatics","conferenceDate":"June 18-20, 2010","conferenceLocation":"Beijing, China","language":"English","publisher":"IEEE","doi":"10.1109/GEOINFORMATICS.2010.5567578","usgsCitation":"Zhang, J., Nie, X., Hu, Y., Liu, S., Tian, Y., and Wu, L., 2010, A method for land surveying sampling optimization strategy, <i>in</i> 2010 18th International conference on geoinformatics, Beijing, China, June 18-20, 2010, 5 p., https://doi.org/10.1109/GEOINFORMATICS.2010.5567578.","productDescription":"5 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":431023,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","city":"Guangzhou","otherGeospatial":"Panyu district","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              113.26374374294613,\n              23.038587661566282\n            ],\n            [\n              113.26374374294613,\n              22.871759117681734\n            ],\n            [\n              113.52600441197796,\n              22.871759117681734\n            ],\n            [\n              113.52600441197796,\n              23.038587661566282\n            ],\n            [\n              113.26374374294613,\n              23.038587661566282\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zhang, Junping","contributorId":340161,"corporation":false,"usgs":false,"family":"Zhang","given":"Junping","email":"","affiliations":[],"preferred":false,"id":906396,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nie, Xiaowen","contributorId":340162,"corporation":false,"usgs":false,"family":"Nie","given":"Xiaowen","email":"","affiliations":[],"preferred":false,"id":906397,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hu, Yueming","contributorId":192656,"corporation":false,"usgs":false,"family":"Hu","given":"Yueming","email":"","affiliations":[],"preferred":false,"id":906398,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, Shuguang 0000-0002-6027-3479 sliu@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3479","contributorId":147403,"corporation":false,"usgs":true,"family":"Liu","given":"Shuguang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":906399,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tian, Yuan","contributorId":340163,"corporation":false,"usgs":false,"family":"Tian","given":"Yuan","email":"","affiliations":[],"preferred":false,"id":906400,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wu, Lun","contributorId":340164,"corporation":false,"usgs":false,"family":"Wu","given":"Lun","email":"","affiliations":[],"preferred":false,"id":906401,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":98670,"text":"ofr20101191 - 2010 - Sampling protocol for post-landfall Deepwater Horizon oil release, Gulf of Mexico, 2010","interactions":[],"lastModifiedDate":"2012-02-02T00:15:49","indexId":"ofr20101191","displayToPublicDate":"2010-09-08T00:00:00","publicationYear":"2010","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":"2010-1191","title":"Sampling protocol for post-landfall Deepwater Horizon oil release, Gulf of Mexico, 2010","docAbstract":"The protocols and procedures described in this report are designed to be used by U.S. Geological Survey (USGS) field teams for the collection of environmental data and samples in coastal areas affected by the 2010 Deepwater Horizon oil spill in the Gulf of Mexico. This sampling protocol focuses specifically on sampling for water, sediments, benthic invertebrates, and microorganisms (ambient bacterial populations) after shoreline arrival of petroleum-associated product on beach, barrier island, and wetland environments of the Gulf of Mexico coastal states. \r\n\r\nDeployment to sampling sites, site setup, and sample collection in these environments necessitates modifications to standard USGS sampling procedures in order to address the regulatory, logistical, and legal requirements associated with samples collected in oil-impacted coastal areas. This document, therefore, has been written as an addendum to the USGS National Field Manual for the Collection of Water-Quality Data (NFM) (http://pubs.water.usgs.gov/twri9A/), which provides the basis for training personnel in the use of standard USGS sampling protocols. The topics covered in this Gulf of Mexico oil-spill sampling protocol augment NFM protocols for field-deployment preparations, health and safety precautions, sampling and quality-assurance procedures, and decontamination requirements under potentially hazardous environmental conditions. Documentation procedures and maintenance of sample integrity by use of chain-of-custody procedures also are described in this protocol. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101191","collaboration":"In collaboration with AET Environmental and TEC Inc.","usgsCitation":"Wilde, F., Skrobialowski, S., and Hart, J., 2010, Sampling protocol for post-landfall Deepwater Horizon oil release, Gulf of Mexico, 2010: U.S. Geological Survey Open-File Report 2010-1191, vii, 83 p.; Appendices, https://doi.org/10.3133/ofr20101191.","productDescription":"vii, 83 p.; Appendices","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":115936,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1191.jpg"},{"id":14074,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1191/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ee4b07f02db5fddb4","contributors":{"authors":[{"text":"Wilde, F.D.","contributorId":50933,"corporation":false,"usgs":true,"family":"Wilde","given":"F.D.","email":"","affiliations":[],"preferred":false,"id":306086,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Skrobialowski, S. C.","contributorId":99585,"corporation":false,"usgs":true,"family":"Skrobialowski","given":"S. C.","affiliations":[],"preferred":false,"id":306088,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hart, J.S.","contributorId":87667,"corporation":false,"usgs":true,"family":"Hart","given":"J.S.","email":"","affiliations":[],"preferred":false,"id":306087,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98671,"text":"sir20105177 - 2010 - Magnitude and extent of flooding at selected river reaches in western Washington, January 2009","interactions":[],"lastModifiedDate":"2012-03-08T17:16:39","indexId":"sir20105177","displayToPublicDate":"2010-09-08T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5177","title":"Magnitude and extent of flooding at selected river reaches in western Washington, January 2009","docAbstract":"A narrow plume of warm, moist tropical air produced prolonged precipitation and melted snow in low-to-mid elevations throughout western Washington in January 2009. As a result, peak-of-record discharges occurred at many long-term streamflow-gaging stations in the region. A disaster was declared by the President for eight counties in Washington State and by May 2009, aid payments by the Federal Emergency Management Agency (FEMA) had exceeded $17 million. In an effort to document the flood and to obtain flood information that could be compared with simulated flood extents that are commonly prepared in conjunction with flood insurance studies by FEMA, eight stream reaches totaling 32.6 miles were selected by FEMA for inundation mapping. The U.S. Geological Survey?s Washington Water Science Center used a survey-grade global positioning system (GPS) the following summer to survey high-water marks (HWMs) left by the January 2009 flood at these reaches. A Google Maps (copyright) application was developed to display all HWM data on an interactive mapping tool on the project?s web site soon after the data were collected. Water-surface profiles and maps that display the area and depth of inundation were produced through a geographic information system (GIS) analysis that combined surveyed HWM elevations with Light Detection and Ranging (LiDAR)-derived digital elevation models of the study reaches and surrounding terrain. In several of the reaches, floods were well confined in their flood plains and were relatively straightforward to map. More common, however, were reaches with more complicated hydraulic geometries where widespread flooding resulted in flows that separated from the main channel. These proved to be more difficult to map, required subjective hydrologic judgment, and relied on supplementary information, such as aerial photographs and descriptions of the flooding from local landowners and government officials to obtain the best estimates of the extent of flooding.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105177","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency\r\n","usgsCitation":"Mastin, M.C., Gendaszek, A., and Barnas, C., 2010, Magnitude and extent of flooding at selected river reaches in western Washington, January 2009: U.S. Geological Survey Scientific Investigations Report 2010-5177, viii, 34 p.; 7 Plates available for download; Plate 1: 20 inches x 16.99 inches; Plate 2: 20 inhces x 16.99 inches; Plate 3: 16.96 inches x 19.98 inches; Plate 4: 16.96 inches x 19.98 inches; Plate 5: 16.96 inches x 19.98 inches; Plate 6: 20 inches x 16.99 inches; Plate 7: 16.96 inches x 19.98 inches, https://doi.org/10.3133/sir20105177.","productDescription":"viii, 34 p.; 7 Plates available for download; Plate 1: 20 inches x 16.99 inches; Plate 2: 20 inhces x 16.99 inches; Plate 3: 16.96 inches x 19.98 inches; Plate 4: 16.96 inches x 19.98 inches; Plate 5: 16.96 inches x 19.98 inches; Plate 6: 20 inches x 16.99 inches; Plate 7: 16.96 inches x 19.98 inches","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":115935,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5177.jpg"},{"id":14075,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5177/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -126,44 ], [ -126,50 ], [ -114,50 ], [ -114,44 ], [ -126,44 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a80e4b07f02db6494fa","contributors":{"authors":[{"text":"Mastin, M. C.","contributorId":90782,"corporation":false,"usgs":true,"family":"Mastin","given":"M.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":306091,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gendaszek, A.S.","contributorId":51002,"corporation":false,"usgs":true,"family":"Gendaszek","given":"A.S.","email":"","affiliations":[],"preferred":false,"id":306090,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnas, C.R.","contributorId":44654,"corporation":false,"usgs":true,"family":"Barnas","given":"C.R.","email":"","affiliations":[],"preferred":false,"id":306089,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98672,"text":"sir20105089 - 2010 - Status and understanding of groundwater quality in the North San Francisco Bay groundwater basins, 2004: California GAMA Priority Basin Project","interactions":[],"lastModifiedDate":"2023-11-22T21:05:05.616632","indexId":"sir20105089","displayToPublicDate":"2010-09-08T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5089","title":"Status and understanding of groundwater quality in the North San Francisco Bay groundwater basins, 2004: California GAMA Priority Basin Project","docAbstract":"<p>Groundwater quality in the approximately 1,000-square-mile (2,590-square-kilometer) North San Francisco Bay study unit was investigated as part of the Priority Basin Project of the Groundwater Ambient Monitoring and Assessment (GAMA) Program. The study unit is located in northern California in Marin, Napa, and Sonoma Counties. The GAMA Priority Basin Project is being conducted by the California State Water Resources Control Board in collaboration with the U.S. Geological Survey (USGS) and the Lawrence Livermore National Laboratory.</p><p>The GAMA North San Francisco Bay study was designed to provide a spatially unbiased assessment of untreated groundwater quality in the primary aquifer systems. The assessment is based on water-quality and ancillary data collected by the USGS from 89 wells in 2004 and water-quality data from the California Department of Public Health (CDPH) database. The primary aquifer systems (hereinafter referred to as primary aquifers) were defined by the depth interval of the wells listed in the CDPH database for the North San Francisco Bay study unit. The quality of groundwater in shallower or deeper water-bearing zones may differ from that in the primary aquifers; shallower groundwater may be more vulnerable to surficial contamination.</p><p>The first component of this study, the status of the current quality of the groundwater resource, was assessed by using data from samples analyzed for volatile organic compounds (VOC), pesticides, and naturally occurring inorganic constituents, such as major ions and trace elements. This status assessment is intended to characterize the quality of groundwater resources within the primary aquifers of the North San Francisco Bay study unit, not the treated drinking water delivered to consumers by water purveyors.</p><p>Relative-concentrations (sample concentration divided by the health- or aesthetic-based benchmark concentration) were used for evaluating groundwater quality for those constituents that have Federal and (or) California benchmarks. A relative-concentration greater than (&gt;) 1.0 indicates a concentration above a benchmark, and less than or equal to (≤) 1.0 indicates a concentration equal to or below a benchmark. Relative-concentrations of organic and special interest constituents were classified as “high” (relative-concentration &gt; 1.0), “moderate” (0.1 &lt; relative-concentration ≤ 1.0), or “low” (relative-concentration ≤ 0.1). Inorganic constituent relative-concentrations were classified as “high” (relative-concentration &gt; 1.0), “moderate” (0.5 &lt; relative-concentration ≤ 1.0), or “low” (relative-concentration ≤ 0.5).</p><p>Aquifer-scale proportion was used as a metric for evaluating regional-scale groundwater quality. High aquifer-scale proportion is defined as the percentage of the primary aquifers that have a relative-concentration greater than 1.0; proportion is calculated on an areal rather than a volumetric basis. Moderate and low aquifer-scale proportions were defined as the percentage of the primary aquifers that have moderate and low relative-concentrations, respectively. Two statistical approaches—grid-based and spatially-weighted—were used to evaluate aquifer-scale proportion for individual constituents and classes of constituents. Grid-based and spatially-weighted estimates were comparable in the North San Francisco Bay study unit (90-percent confidence intervals).</p><p>For inorganic constituents with human-health benchmarks, relative-concentrations were high in 14.0&nbsp;percent of the primary aquifers, moderate in 35.8 percent, and low in 50.2 percent. The high aquifer-scale proportion of inorganic constituents primarily reflected high aquifer-scale proportions of arsenic (10.0 percent), boron (4.1 percent), and lead (1.6&nbsp;percent). In contrast, relative-concentrations of organic constituents (one or more) were high in 1.4&nbsp;percent, moderate in 4.9 percent, and low in 93.7 percent (not detected in 64.8 percent) of the primary aquifers. The high aquifer-scale proportion of organic constituents primarily reflected high aquifer-scale proportions of PCE (1.3 percent), TCE (0.1&nbsp;percent), and 1,1-dichloroethene (0.1 percent). The inorganic constituents with secondary maximum contaminant levels (SMCL), manganese and iron, had relative-concentrations that were high in 40.8 percent and 24.4 percent of the primary aquifers, respectively. Of the 255 organic and special-interest constituents analyzed for, 26 constituents were detected. Two organic constituents were frequently detected (in 10 percent or more of samples), the trihalomethane chloroform and the herbicide simazine, but both were detected at low relative-concentrations.</p><p>The second component of this study, the understanding assessment, identified the natural and human factors that affect groundwater quality by evaluating land use, physical characteristics of the wells, geochemical conditions of the aquifer, and water temperature. Results from these evaluations were used to explain the occurrence and distribution of constituents in the study unit. The understanding assessment indicated that a majority of the wells that contained nitrate also had an urban or agricultural land-use classification, had a modern or mixed age classification, and had depths to their top perforations &lt;100 ft (30 m). Geochemical data are consistent with partial denitrification of nitrate in some reducing groundwaters in the terminal and deeper parts of the flow system.</p><p>High and moderate relative-concentrations of arsenic may be attributed to reductive dissolution of manganese or iron oxides, or to desorption or inhibition of arsenic sorption under alkaline conditions. Arsenic concentrations increased with increasing depth and groundwater age in the North San Francisco Bay study unit. High to moderate relative-concentrations of boron were primarily associated with hydrothermal activity or high-salinity waters in the Napa Sonoma lowlands. Simazine was detected in groundwater classified as modern and mixed age more often than in groundwater classified as pre-modern age, while chloroform was detected most often in groundwater classified as mixed age.</p><p>Simazine and chloroform also were observed in wells that had surrounding land use classified as agricultural or land use classified as urban, and top of perforation depths less than 100 ft (30 m). Together, the occurrence of chloroform and simazine in shallow wells with modern or mixed groundwater located in urban or agricultural areas suggests that these constituents result from anthropogenic activities during the last 50 years.</p><p>Tritium, helium-isotope, and carbon-14 data were used to classify the predominant age of groundwater samples into three categories: modern (water that has entered the aquifer in the last 50 years), pre-modern (water that entered the aquifer more than 50 years to tens of thousands of years ago), and mixed (mixtures of modern- and pre-modern-age waters). Arsenic, iron, and total dissolved solids (TDS) concentrations were significantly greater in groundwater having pre-modern-age classification than modern, suggesting that these constituents accumulate with groundwater residence time.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105089","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Kulongoski, J., Belitz, K., Landon, M.K., and Farrar, C., 2010, Status and understanding of groundwater quality in the North San Francisco Bay groundwater basins, 2004: California GAMA Priority Basin Project: U.S. Geological Survey Scientific Investigations Report 2010-5089, xii, 65 p., https://doi.org/10.3133/sir20105089.","productDescription":"xii, 65 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":422852,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93989.htm","linkFileType":{"id":5,"text":"html"}},{"id":14076,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5089/","linkFileType":{"id":5,"text":"html"}},{"id":115937,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5089.jpg"}],"country":"United States","state":"California","otherGeospatial":"North San Francisco Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -123.1,\n              38.7667\n            ],\n            [\n              -123.1,\n              38.0958\n            ],\n            [\n              -121.33,\n              38.0958\n            ],\n            [\n              -121.33,\n              38.7667\n            ],\n            [\n              -123.1,\n              38.7667\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49dae4b07f02db5e0133","contributors":{"authors":[{"text":"Kulongoski, Justin T. 0000-0002-3498-4154","orcid":"https://orcid.org/0000-0002-3498-4154","contributorId":94750,"corporation":false,"usgs":true,"family":"Kulongoski","given":"Justin T.","affiliations":[],"preferred":false,"id":306095,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":306093,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Landon, Matthew K. 0000-0002-5766-0494 landon@usgs.gov","orcid":"https://orcid.org/0000-0002-5766-0494","contributorId":392,"corporation":false,"usgs":true,"family":"Landon","given":"Matthew","email":"landon@usgs.gov","middleInitial":"K.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306092,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Farrar, Christopher","contributorId":62300,"corporation":false,"usgs":true,"family":"Farrar","given":"Christopher","affiliations":[],"preferred":false,"id":306094,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98665,"text":"ofr20091282 - 2010 - CoalVal-A coal resource valuation program","interactions":[],"lastModifiedDate":"2022-12-05T21:40:14.798392","indexId":"ofr20091282","displayToPublicDate":"2010-09-04T00:00:00","publicationYear":"2010","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":"2009-1282","title":"CoalVal-A coal resource valuation program","docAbstract":"CoalVal is a menu-driven Windows program that produces cost-of-mining analyses of mine-modeled coal resources. Geological modeling of the coal beds and some degree of mine planning, from basic prefeasibility to advanced, must already have been performed before this program can be used. United States Geological Survey mine planning is done from a very basic, prefeasibility standpoint, but the accuracy of CoalVal's output is a reflection of the accuracy of the data entered, both for mine costs and mine planning. The mining cost analysis is done by using mine cost models designed for the commonly employed, surface and underground mining methods utilized in the United States.\r\n\r\nCoalVal requires a Microsoft Windows? 98 or Windows? XP operating system and a minimum of 1 gigabyte of random access memory to perform operations. It will not operate on Microsoft Vista?, Windows? 7, or Macintosh? operating systems. The program will summarize the evaluation of an unlimited number of coal seams, haulage zones, tax entities, or other area delineations for a given coal property, coalfield, or basin. When the reader opens the CoalVal publication from the USGS website, options are provided to download the CoalVal publication manual and the CoalVal Program. \r\n\r\nThe CoalVal report is divided into five specific areas relevant to the development and use of the CoalVal program:\r\n\r\n1. Introduction to CoalVal Assumptions and Concepts. \r\n2. Mine Model Assumption Details (appendix A). \r\n3. CoalVal Project Tutorial (appendix B). \r\n4. Program Description (appendix C). \r\n5. Mine Model and Discounted Cash Flow Formulas (appendix D). \r\n\r\nThe tutorial explains how to enter coal resource and quality data by mining method; program default values for production, operating, and cost variables; and ones own operating and cost variables into the program. Generated summary reports list the volume of resource in short tons available for mining, recoverable short tons by mining method; the seam or property being mined; operating cost per ton; and discounted cash flow cost per ton to mine and process the resources. Costs are calculated as loaded in a unit train, free-on-board the tipple, at a rate of return prescribed by the evaluator. \r\n\r\nThe recoverable resources (in short tons) may be grouped by incremental cost over any range chosen by the user. For example, in the Gillette coalfield evaluation, the discounted cash flow mining cost (at an 8 percent rate of return) and its associated tonnage may be grouped by any applicable increment (for example, $0.10 per ton, $0.20 per ton, and so on) and using any dollar per ton range that is desired (for example, from $4.00 per ton to $15.00 per ton). This grouping ability allows the user to separate the coal reserves from the nonreserve resources and to construct cost curves to determine the effects of coal market fluctuations on the availability of coal for fuel whether for the generation of electricity or for coal-to-liquids processes. Coking coals are not addressed in this report.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091282","usgsCitation":"Rohrbacher, T.J., and McIntosh, G.E., 2010, CoalVal-A coal resource valuation program: U.S. Geological Survey Open-File Report 2009-1282, Report: v, 265 p.; Downloads Directory, https://doi.org/10.3133/ofr20091282.","productDescription":"Report: v, 265 p.; Downloads Directory","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":115923,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1282.jpg"},{"id":14069,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1282/","linkFileType":{"id":5,"text":"html"}},{"id":410070,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93965.htm","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6aec86","contributors":{"authors":[{"text":"Rohrbacher, Timothy J.","contributorId":20355,"corporation":false,"usgs":true,"family":"Rohrbacher","given":"Timothy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":306064,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McIntosh, Gary E.","contributorId":72495,"corporation":false,"usgs":true,"family":"McIntosh","given":"Gary","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":306065,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98668,"text":"ofr20101186 - 2010 - Emergency assessments of postfire debris-flow hazards for the 2009 La Brea, Jesusita, Guiberson, Morris, Sheep, Oak Glen, Pendleton, and Cottonwood fires in southern California","interactions":[],"lastModifiedDate":"2012-02-10T00:11:57","indexId":"ofr20101186","displayToPublicDate":"2010-09-04T00:00:00","publicationYear":"2010","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":"2010-1186","title":"Emergency assessments of postfire debris-flow hazards for the 2009 La Brea, Jesusita, Guiberson, Morris, Sheep, Oak Glen, Pendleton, and Cottonwood fires in southern California","docAbstract":"This report presents an emergency assessment of potential debris-flow hazards from basins burned by the 2009 La Brea and Jesusita fires in Santa Barbara County, the Guiberson fire in Ventura County, the Morris fire in Los Angeles County, the Sheep, Oak Glen, and Pendleton fires in San Bernardino County, and the Cottonwood fire in Riverside County, southern California. Statistical-empirical models developed to analyze postfire debris flows are used to estimate the probability and volume of debris-flows produced from drainage basins within each of the burned areas. Debris-flow probabilities and volumes are estimated as functions of different measures of basin burned extent, gradient, and material properties in response to both a 3-hour-duration, 2-year-recurrence thunderstorm and to a widespread, 12-hour-duration, 2-year-recurrence winter storm. This assessment provides critical information for issuing warnings, locating and designing mitigation measures, and planning evacuation timing and routes within the first two winters following the fire.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101186","usgsCitation":"Cannon, S.H., Gartner, J.E., Rupert, M.G., and Michael, J.A., 2010, Emergency assessments of postfire debris-flow hazards for the 2009 La Brea, Jesusita, Guiberson, Morris, Sheep, Oak Glen, Pendleton, and Cottonwood fires in southern California: U.S. Geological Survey Open-File Report 2010-1186, iv, 31 p. , https://doi.org/10.3133/ofr20101186.","productDescription":"iv, 31 p. ","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2009-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":115924,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1186.jpg"},{"id":14072,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1186/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120,33 ], [ -120,35.166666666666664 ], [ -116.5,35.166666666666664 ], [ -116.5,33 ], [ -120,33 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a19e4b07f02db605842","contributors":{"authors":[{"text":"Cannon, Susan H. cannon@usgs.gov","contributorId":1019,"corporation":false,"usgs":true,"family":"Cannon","given":"Susan","email":"cannon@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":306080,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gartner, Joseph E. jegartner@usgs.gov","contributorId":1876,"corporation":false,"usgs":true,"family":"Gartner","given":"Joseph","email":"jegartner@usgs.gov","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":306082,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rupert, Michael G. mgrupert@usgs.gov","contributorId":1194,"corporation":false,"usgs":true,"family":"Rupert","given":"Michael","email":"mgrupert@usgs.gov","middleInitial":"G.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306081,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Michael, John A. jmichael@usgs.gov","contributorId":1877,"corporation":false,"usgs":true,"family":"Michael","given":"John","email":"jmichael@usgs.gov","middleInitial":"A.","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":306083,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98663,"text":"sir20105159 - 2010 - Using prediction uncertainty analysis to design hydrologic monitoring networks: Example applications from the Great Lakes water availability pilot project","interactions":[],"lastModifiedDate":"2025-04-15T13:23:16.752336","indexId":"sir20105159","displayToPublicDate":"2010-09-04T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5159","title":"Using prediction uncertainty analysis to design hydrologic monitoring networks: Example applications from the Great Lakes water availability pilot project","docAbstract":"The importance of monitoring networks for resource-management decisions is becoming more recognized, in both theory and application. Quantitative computer models provide a science-based framework to evaluate the efficacy and efficiency of existing and possible future monitoring networks. In the study described herein, two suites of tools were used to evaluate the worth of new data for specific predictions, which in turn can support efficient use of resources needed to construct a monitoring network. The approach evaluates the uncertainty of a model prediction and, by using linear propagation of uncertainty, estimates how much uncertainty could be reduced if the model were calibrated with addition information (increased a priori knowledge of parameter values or new observations). The theoretical underpinnings of the two suites of tools addressing this technique are compared, and their application to a hypothetical model based on a local model inset into the Great Lakes Water Availability Pilot model are described. Results show that meaningful guidance for monitoring network design can be obtained by using the methods explored. The validity of this guidance depends substantially on the parameterization as well; hence, parameterization must be considered not only when designing the parameter-estimation paradigm but also-importantly-when designing the prediction-uncertainty paradigm.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105159","collaboration":"National Water Availability and Use Pilot Program","usgsCitation":"Fienen, M., Doherty, J.E., Hunt, R.J., and Reeves, H.W., 2010, Using prediction uncertainty analysis to design hydrologic monitoring networks: Example applications from the Great Lakes water availability pilot project: U.S. Geological Survey Scientific Investigations Report 2010-5159, iv, 44 p., https://doi.org/10.3133/sir20105159.","productDescription":"iv, 44 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":115922,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5159.jpg"},{"id":484523,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2010/5159/pdf/sir20105159.pdf","size":"7.78 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2010-5159"},{"id":14067,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5159/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -93,39 ], [ -93,48 ], [ -81,48 ], [ -81,39 ], [ -93,39 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a14e4b07f02db602e96","contributors":{"authors":[{"text":"Fienen, Michael N. 0000-0002-7756-4651 mnfienen@usgs.gov","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":893,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","email":"mnfienen@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":306058,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doherty, John E.","contributorId":8817,"corporation":false,"usgs":false,"family":"Doherty","given":"John","email":"","middleInitial":"E.","affiliations":[{"id":7046,"text":"Watermark Numerical Computing","active":true,"usgs":false}],"preferred":false,"id":306061,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306059,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reeves, Howard W. 0000-0001-8057-2081 hwreeves@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-2081","contributorId":2307,"corporation":false,"usgs":true,"family":"Reeves","given":"Howard","email":"hwreeves@usgs.gov","middleInitial":"W.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306060,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98667,"text":"sir20105070B - 2010 - Porphyry copper deposit model","interactions":[],"lastModifiedDate":"2024-10-30T18:29:02.234155","indexId":"sir20105070B","displayToPublicDate":"2010-09-04T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5070","chapter":"B","title":"Porphyry copper deposit model","docAbstract":"<p>This report contains a revised descriptive model of porphyry copper deposits (PCDs), the world's largest source (about 60 percent) and resource (about 65 percent) of copper and a major source of molybdenum, gold and silver. Despite relatively low grades (average 0.44 percent copper in 2008), PCDs have significant economic and societal impacts due to their large size (commonly hundreds of millions to billions of metric tons), long mine lives (decades), and high production rates (billions of kilograms of copper per year). The revised model describes the geotectonic setting of PCDs, and provides extensive regional- to deposit-scale descriptions and illustrations of geological, geochemical, geophysical, and geoenvironmental characteristics. Current genetic theories are reviewed and evaluated, knowledge gaps are identified, and a variety of exploration and assessment guides are presented. A summary is included for users seeking overviews of specific topics.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Mineral deposit models for resource assessment (Scientific Investigations Report 2010-5070)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105070B","usgsCitation":"Ayuso, R.A., Barton, M.D., Blakely, R.J., Bodnar, R.J., Dilles, J.H., Gray, F., Graybeal, F.T., Mars, J.L., McPhee, D., Seal, R.R., Taylor, R.D., and Vikre, P., 2010, Porphyry copper deposit model: U.S. Geological Survey Scientific Investigations Report 2010-5070, xii, 169 p., https://doi.org/10.3133/sir20105070B.","productDescription":"xii, 169 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":311536,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2010/5070/b/pdf/SIR10-5070B.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":115920,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5070_b.jpg"},{"id":14071,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5070/b/","linkFileType":{"id":5,"text":"html"}},{"id":463437,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93962.htm","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad6e4b07f02db683ce2","contributors":{"editors":[{"text":"John, David A. 0000-0001-7977-9106 djohn@usgs.gov","orcid":"https://orcid.org/0000-0001-7977-9106","contributorId":1748,"corporation":false,"usgs":true,"family":"John","given":"David","email":"djohn@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":505756,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Ayuso, Robert A. 0000-0002-8496-9534 rayuso@usgs.gov","orcid":"https://orcid.org/0000-0002-8496-9534","contributorId":2654,"corporation":false,"usgs":true,"family":"Ayuso","given":"Robert","email":"rayuso@usgs.gov","middleInitial":"A.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":306072,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barton, Mark 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J.","contributorId":61540,"corporation":false,"usgs":true,"family":"Bodnar","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":306079,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dilles, John H.","contributorId":19261,"corporation":false,"usgs":true,"family":"Dilles","given":"John","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":306076,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gray, Floyd 0000-0002-0223-8966 fgray@usgs.gov","orcid":"https://orcid.org/0000-0002-0223-8966","contributorId":603,"corporation":false,"usgs":true,"family":"Gray","given":"Floyd","email":"fgray@usgs.gov","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":306069,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Graybeal, Fred T.","contributorId":47058,"corporation":false,"usgs":true,"family":"Graybeal","given":"Fred","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":306077,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mars, John L. jmars@usgs.gov","contributorId":3428,"corporation":false,"usgs":true,"family":"Mars","given":"John","email":"jmars@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":false,"id":306074,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McPhee, Darcy 0000-0002-5177-3068 dmcphee@usgs.gov","orcid":"https://orcid.org/0000-0002-5177-3068","contributorId":2621,"corporation":false,"usgs":true,"family":"McPhee","given":"Darcy","email":"dmcphee@usgs.gov","affiliations":[{"id":412,"text":"National Cooperative Geologic Mapping Program","active":false,"usgs":true}],"preferred":true,"id":306071,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Seal, Robert R","contributorId":115296,"corporation":false,"usgs":true,"family":"Seal","given":"Robert","email":"","middleInitial":"R","affiliations":[],"preferred":false,"id":306068,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Taylor, Ryan D. 0000-0002-8845-5290 rtaylor@usgs.gov","orcid":"https://orcid.org/0000-0002-8845-5290","contributorId":3412,"corporation":false,"usgs":true,"family":"Taylor","given":"Ryan","email":"rtaylor@usgs.gov","middleInitial":"D.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":306073,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Vikre, Peter G.","contributorId":49901,"corporation":false,"usgs":true,"family":"Vikre","given":"Peter G.","affiliations":[],"preferred":false,"id":306078,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":98653,"text":"gip110 - 2010 - Using land-cover change as dynamic variables in surface-water and water-quality models","interactions":[],"lastModifiedDate":"2012-02-10T00:11:57","indexId":"gip110","displayToPublicDate":"2010-09-02T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"110","title":"Using land-cover change as dynamic variables in surface-water and water-quality models","docAbstract":"Land-cover data are typically used in hydrologic modeling to establish or describe land surface dynamics. This project is designed to demonstrate the use of land-cover change data in surface-water and water-quality models by incorporating land-cover as a variable condition. The project incorporates three different scenarios that vary hydrologically and geographically: 1) Agriculture in the Plains, 2) Loon habitat in New England, and 3) Forestry in the Ozarks.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/gip110","usgsCitation":"Karstensen, K.A., Warner, K., and Kuhn, A., 2010, Using land-cover change as dynamic variables in surface-water and water-quality models: U.S. Geological Survey General Information Product 110, 1 p., https://doi.org/10.3133/gip110.","productDescription":"1 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":383,"text":"Mid-Continent Geographic Science Center","active":true,"usgs":true}],"links":[{"id":116003,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/GIP_110.jpg"},{"id":14056,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/gip/110/","linkFileType":{"id":5,"text":"html"}}],"projection":"Albers projection","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.55083333333333,37.11666666666667 ], [ -92.55083333333333,44.23444444444444 ], [ -84.40055555555556,44.23444444444444 ], [ -84.40055555555556,37.11666666666667 ], [ -92.55083333333333,37.11666666666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a16e4b07f02db603cb1","contributors":{"authors":[{"text":"Karstensen, Krista A. kkarstensen@usgs.gov","contributorId":286,"corporation":false,"usgs":true,"family":"Karstensen","given":"Krista","email":"kkarstensen@usgs.gov","middleInitial":"A.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":306016,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warner, Kelly L. klwarner@usgs.gov","contributorId":655,"corporation":false,"usgs":true,"family":"Warner","given":"Kelly L.","email":"klwarner@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306017,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kuhn, Anne","contributorId":105025,"corporation":false,"usgs":true,"family":"Kuhn","given":"Anne","email":"","affiliations":[],"preferred":false,"id":306018,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98654,"text":"sir20105147 - 2010 - Simulated effects of groundwater pumping and artificial recharge on surface-water resources and riparian vegetation in the Verde Valley sub-basin, Central Arizona","interactions":[],"lastModifiedDate":"2012-02-10T00:11:57","indexId":"sir20105147","displayToPublicDate":"2010-09-02T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5147","title":"Simulated effects of groundwater pumping and artificial recharge on surface-water resources and riparian vegetation in the Verde Valley sub-basin, Central Arizona","docAbstract":"In the Verde Valley sub-basin, groundwater use has increased in recent decades. Residents and stakeholders in the area have established several groups to help in planning for sustainability of water and other resources of the area. One of the issues of concern is the effect of groundwater pumping in the sub-basin on surface water and on groundwater-dependent riparian vegetation. The Northern Arizona Regional Groundwater-Flow Model by Pool and others (in press) is the most comprehensive and up-to-date tool available to understand the effects of groundwater pumping in the sub-basin. Using a procedure by Leake and others (2008), this model was modified and used to calculate effects of groundwater pumping on surface-water flow and evapotranspiration for areas in the sub-basin. This report presents results for the upper two model layers for pumping durations of 10 and 50 years. Results are in the form of maps that indicate the fraction of the well pumping rate that can be accounted for as the combined effect of reduced surface-water flow and evapotranspiration. In general, the highest and most rapid responses to pumping were computed to occur near surface-water features simulated in the modified model, but results are not uniform along these features. The results are intended to indicate general patterns of model-computed response over large areas. For site-specific projects, improved results may require detailed studies of the local hydrologic conditions and a refinement of the modified model in the area of interest. ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105147","collaboration":"Prepared in Cooperation with The Nature Conservancy","usgsCitation":"Leake, S.A., and Pool, D.R., 2010, Simulated effects of groundwater pumping and artificial recharge on surface-water resources and riparian vegetation in the Verde Valley sub-basin, Central Arizona: U.S. Geological Survey Scientific Investigations Report 2010-5147, v, 18 p., https://doi.org/10.3133/sir20105147.","productDescription":"v, 18 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":116004,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5147.jpg"},{"id":14057,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5147/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.7,35.3 ], [ -112.7,35.7 ], [ -111,35.7 ], [ -111,35.3 ], [ -112.7,35.3 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49b5e4b07f02db5cb35a","contributors":{"authors":[{"text":"Leake, Stanley A. 0000-0003-3568-2542 saleake@usgs.gov","orcid":"https://orcid.org/0000-0003-3568-2542","contributorId":1846,"corporation":false,"usgs":true,"family":"Leake","given":"Stanley","email":"saleake@usgs.gov","middleInitial":"A.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306020,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pool, Donald R. drpool@usgs.gov","contributorId":1121,"corporation":false,"usgs":true,"family":"Pool","given":"Donald","email":"drpool@usgs.gov","middleInitial":"R.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306019,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98659,"text":"sir20105075 - 2010 - Geology, geochemistry, and geophysics of the Fry Canyon uranium/copper project site, southeastern Utah: Indications of contaminant migration","interactions":[],"lastModifiedDate":"2024-06-17T18:38:42.503422","indexId":"sir20105075","displayToPublicDate":"2010-09-02T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5075","title":"Geology, geochemistry, and geophysics of the Fry Canyon uranium/copper project site, southeastern Utah: Indications of contaminant migration","docAbstract":"<p>The Fry Canyon uranium/copper project site in San Juan County, southeastern Utah, was affected by the historical (1957–68) processing of uranium and copper-uranium ores. Relict uranium tailings and related ponds, and a large copper heap-leach pile at the site represent point sources of uranium and copper to local soils, surface water, and groundwater. This study was designed to establish the nature, extent, and pathways of contaminant dispersion. The methods used in this study are applicable at other sites of uranium mining, milling, or processing.</p><p>The uranium tailings and associated ponds sit on a bench that is as much as 4.25 meters above the level of the adjacent modern channel of Fry Creek. The copper heap leach pile sits on bedrock just south of this bench. Contaminated groundwater from the ponds and other nearby sites moves downvalley and enters the modern alluvium of adjacent Fry Creek, its surface water, and also a broader, deeper paleochannel that underlies the modern creek channel and adjacent benches and stream terraces. The northern extent of contaminated groundwater is uncertain from geochemical data beyond an area of monitoring wells about 300 meters north of the site. Contaminated surface water extends to the State highway bridge. Some uranium-contaminated groundwater may also enter underlying bedrock of the Permian Cedar Mesa Sandstone along fracture zones.</p><p>Four dc-resistivity surveys perpendicular to the valley trend were run across the channel and its adjacent stream terraces north of the heap-leach pile and ponds. Two surveys were done in a small field of monitoring wells and two in areas untested by borings to the north of the well field. Bedrock intercepts, salt distribution, and lithologic information from the wells and surface observations in the well field aided interpretation of the geophysical profiles there and allowed interpretation of the two profiles not tested by wells. The geophysical data for the two profiles to the north of the well field suggest that the paleochannel persists at least 900 m to the north of the heap leach and pond sites. Contamination of groundwater beneath the stream terraces may extend at least that far.</p><p>Fry Creek surface water (six samples), seeps and springs (six samples), and wells (eight samples) were collected during a dry period of April 16–19, 2007. The most uranium-rich (18.7 milligrams per liter) well water on the site displays distinctive Ca-Mg-SO<sub>4</sub>-dominant chemistry indicating the legacy of heap leaching copper-uranium ores with sulfuric acid. This same water has strongly negative δ<sup>34</sup>S of sulfate (–13.3 per mil) compared to most local waters of –2.4 to –5.4 per mil. Dissolved uranium species in all sampled waters are dominantly U(VI)-carbonate complexes. All waters are undersaturated with respect to U(VI) minerals. The average<span>&nbsp;</span><sup>234</sup>U/<sup>238</sup>U activity ratio (AR) in four well waters from the site (0.939±0.011) is different from that of seven upstream waters (1.235±0.069). This isotopic contrast permits quantitative estimates of mixing of site-derived uranium with natural uranium in waters collected downstream. At the time of sampling, uranium in downstream surface water was mostly (about 67 percent) site-derived and subject to further concentration by evaporation. Three monitoring wells located approximately 0.4 kilometer downstream contained dominantly (78–87 percent) site-derived uranium. Distinctive particles of chalcopyrite (CuFeS) and variably weathered pyrite (FeS<sub>2</sub>) are present in tailings at the stream edge on the site and are identified in stream sediments 1.3 kilometers downstream, based on inspection of polished grain mounts of magnetic mineral separates.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105075","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Otton, J.K., Zielinski, R.A., and Horton, R., 2010, Geology, geochemistry, and geophysics of the Fry Canyon uranium/copper project site, southeastern Utah: Indications of contaminant migration: U.S. Geological Survey Scientific Investigations Report 2010-5075, v, 39 p., https://doi.org/10.3133/sir20105075.","productDescription":"v, 39 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":430311,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93931.htm","linkFileType":{"id":5,"text":"html"}},{"id":14062,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5075/","linkFileType":{"id":5,"text":"html"}},{"id":116001,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5075.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Fry Canyon uranium/copper project site","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -110.1586,\n              37.603\n            ],\n            [\n              -110.1586,\n              37.635\n            ],\n            [\n              -110.1242,\n              37.635\n            ],\n            [\n              -110.1242,\n              37.603\n            ],\n            [\n              -110.1586,\n              37.603\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac9e4b07f02db67c6c5","contributors":{"authors":[{"text":"Otton, James K. jkotton@usgs.gov","contributorId":1170,"corporation":false,"usgs":true,"family":"Otton","given":"James","email":"jkotton@usgs.gov","middleInitial":"K.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":306050,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zielinski, Robert A. 0000-0002-4047-5129 rzielinski@usgs.gov","orcid":"https://orcid.org/0000-0002-4047-5129","contributorId":1593,"corporation":false,"usgs":true,"family":"Zielinski","given":"Robert","email":"rzielinski@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":306051,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Horton, Robert 0000-0001-5578-3733 rhorton@usgs.gov","orcid":"https://orcid.org/0000-0001-5578-3733","contributorId":612,"corporation":false,"usgs":true,"family":"Horton","given":"Robert","email":"rhorton@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":306049,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98660,"text":"sir20105104 - 2010 - Trends in base flow, total flow, and base-flow index of selected streams in and near Oklahoma through 2008","interactions":[],"lastModifiedDate":"2012-03-08T17:16:34","indexId":"sir20105104","displayToPublicDate":"2010-09-02T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5104","title":"Trends in base flow, total flow, and base-flow index of selected streams in and near Oklahoma through 2008","docAbstract":"The U.S. Geological Survey, in cooperation with the Oklahoma Water Resources Board, investigated trends in base flow, total flow, and base-flow index of selected streams in Oklahoma and evaluated possible causes for trends. Thirty-seven streamflow-gaging stations that had unregulated or moderately regulated streamflow were selected for trend analysis.\r\n\r\nStatistical evaluation of trends in annual and seasonal (winter-spring and summer-autumn) base flow, total flow, and base-flow index at 37 selected streamflow-gaging stations in Oklahoma was performed by using a Kendall's tau trend test. This trend analysis also was performed for annual and seasonal precipitation for nine climate divisions in the study area, annual peak flows, the number of days where flow was zero or less than 1 cubic foot per second (both annually and seasonally), and annual winter groundwater levels for 35 shallow wells near the analyzed stations. Precipitation-adjusted trends using LOESS regressions and Kendall's tau were computed for annual and seasonal base-flow and total-flow volumes in order to identify the presence of underlying trends in streamflow that are not associated with annual or seasonal variations in precipitation.\r\n\r\nIn general, upward trends in precipitation were detected for climate divisions in north-central Oklahoma and south-central and southeastern Kansas. More climate divisions had statistically significant upward trends in total precipitation for annual water years than in winter-spring or summer-autumn water years.\r\n\r\nSignificant trends in annual or seasonal base-flow volume were detected for 22 stations, 19 of which had trends that were upward in direction. Significant trends in annual or seasonal total-flow volume were detected for 14 stations, 9 of which had trends that were upward in direction. Most stations that had significant upward trends in annual or seasonal total-flow volume also had significant upward trends in base-flow volume for the same period. Precipitation adjustment changed the results (significant only or significance and direction) of significant annual or seasonal trends in unadjusted base-flow volume for 12 stations and in unadjusted total-flow volume for 13 stations.\r\n\r\nSignificant trends in annual or seasonal base-flow index were detected for 25 stations, 23 of which had trends that were upward in direction. Eighteen stations that had significant upward trends in annual or seasonal base-flow index also had significant upward trends in base-flow volume and no significant downward trends in total-flow volume during the same period, which indicated that upward trends in base-flow index were likely driven by increases in base flow at these stations.\r\n\r\nTrend results were highly variable throughout the State. However, some recurring patterns in locations of stations with similar trend results were detected. In general, significant downward trends in base-flow and total-flow volumes were detected for the three stations in the Oklahoma Panhandle. Significant upward trends in annual or seasonal base-flow volume before and after precipitation adjustment were detected for 12 stations in southwestern and central Oklahoma. In eastern Oklahoma, significant upward trends in annual or seasonal base-flow volume were only detected for 4 stations, and significant upward trends in annual or seasonal total-flow volume were only detected for 1 station. After precipitation adjustment no stations in this region had significant upward trends in either parameter, one station had significant downward trends in annual base-flow volume, and one station had significant downward trends in winter-spring total-flow volume.\r\n\r\nIncreases in annual and seasonal precipitation, especially during a substantial wet period (1980-2000), may be one of the factors resulting in upward trends in base-flow volume and total-flow volume at many of the stations analyzed in this report. Eleven stations with significant upward trends in precipitation-adjust","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105104","collaboration":"Prepared in cooperation with the Oklahoma Water Resources Board","usgsCitation":"Esralew, R.A., and Lewis, J.M., 2010, Trends in base flow, total flow, and base-flow index of selected streams in and near Oklahoma through 2008: U.S. Geological Survey Scientific Investigations Report 2010-5104, xii, 143 p., https://doi.org/10.3133/sir20105104.","productDescription":"xii, 143 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"1895-01-01","temporalEnd":"2008-09-30","costCenters":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"links":[{"id":116002,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5104.jpg"},{"id":14063,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5104/","linkFileType":{"id":5,"text":"html"}}],"projection":"Albers Equal-Area Conic Projection","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -103.5,33.833333333333336 ], [ -103.5,37.5 ], [ -94,37.5 ], [ -94,33.833333333333336 ], [ -103.5,33.833333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4affe4b07f02db697c5c","contributors":{"authors":[{"text":"Esralew, Rachel A.","contributorId":104862,"corporation":false,"usgs":true,"family":"Esralew","given":"Rachel","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":306053,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lewis, Jason M. 0000-0001-5337-1890 jmlewis@usgs.gov","orcid":"https://orcid.org/0000-0001-5337-1890","contributorId":3854,"corporation":false,"usgs":true,"family":"Lewis","given":"Jason","email":"jmlewis@usgs.gov","middleInitial":"M.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306052,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70044358,"text":"70044358 - 2010 - ePRISM: A case study in multiple proxy and mixed temporal resolution integration","interactions":[],"lastModifiedDate":"2013-04-02T09:40:55","indexId":"70044358","displayToPublicDate":"2010-09-02T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3481,"text":"Stratigraphy","active":true,"publicationSubtype":{"id":10}},"title":"ePRISM: A case study in multiple proxy and mixed temporal resolution integration","docAbstract":"As part of the Pliocene Research, Interpretation and Synoptic Mapping (PRISM) Project, we present the ePRISM experiment designed I) to provide climate modelers with a reconstruction of an early Pliocene warm period that was warmer than the PRISM interval (similar to 3.3 to 3.0 Ma), yet still similar in many ways to modern conditions and 2) to provide an example of how best to integrate multiple-proxy sea surface temperature (SST) data from time series with varying degrees of temporal resolution and age control as we begin to build the next generation of PRISM, the PRISM4 reconstruction, spanning a constricted time interval. While it is possible to tie individual SST estimates to a single light (warm) oxygen isotope event, we find that the warm peak average of SST estimates over a narrowed time interval is preferential for paleoclimate reconstruction as it allows for the inclusion of more records of multiple paleotemperature proxies.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Stratigraphy","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Micropaleontology Press","publisherLocation":"Flushing, NY","usgsCitation":"Robinson, M.M., and Dowsett, H.J., 2010, ePRISM: A case study in multiple proxy and mixed temporal resolution integration: Stratigraphy, v. 7, no. 2-3, p. 177-187.","productDescription":"11 p.","startPage":"177","endPage":"187","numberOfPages":"11","ipdsId":"IP-022393","costCenters":[],"links":[{"id":270447,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"2-3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515bfdffe4b075500ee5caac","contributors":{"authors":[{"text":"Robinson, Marci M. 0000-0002-9200-4097 mmrobinson@usgs.gov","orcid":"https://orcid.org/0000-0002-9200-4097","contributorId":2082,"corporation":false,"usgs":true,"family":"Robinson","given":"Marci","email":"mmrobinson@usgs.gov","middleInitial":"M.","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":475367,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dowsett, Harry J. 0000-0003-1983-7524 hdowsett@usgs.gov","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":949,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry","email":"hdowsett@usgs.gov","middleInitial":"J.","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":475366,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70074637,"text":"70074637 - 2010 - Monitoring very-long-period seismicity at Kilauea Volcano, Hawaii","interactions":[],"lastModifiedDate":"2014-01-31T09:45:38","indexId":"70074637","displayToPublicDate":"2010-09-01T09:39:32","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring very-long-period seismicity at Kilauea Volcano, Hawaii","docAbstract":"On 19 March, 2008 eruptive activity returned to the summit of Kilauea Volcano, Hawaii with the formation of a new vent within the Halemaumau pit crater. The new vent has been gradually increasing in size, and exhibiting sustained degassing and the episodic bursting of gas slugs at the surface of a lava pond ∼200 m below the floor of Halemaumau. The spectral characteristics, source location obtained by radial semblance, and Hidden Markov Model pattern recognition of the degassing burst signals are consistent with an increase in gas content in the magma transport system beginning in October, 2007. This increase plateaus between March – September 2008, and exhibits a fluctuating pattern until 31 January, 2010, suggesting that the release of gas is slowly diminishing over time.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1029/2010GL044418","usgsCitation":"Dawson, P.B., Benitez, M.C., Chouet, B.A., Wilson, D., and Okubo, P.G., 2010, Monitoring very-long-period seismicity at Kilauea Volcano, Hawaii: Geophysical Research Letters, v. 37, no. 18, L18306, 6 p., https://doi.org/10.1029/2010GL044418.","productDescription":"L18306, 6 p.","ipdsId":"IP-023172","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":281796,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281795,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2010GL044418"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Kilauea Volcano","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -156.062,18.9108 ], [ -156.062,20.2686 ], [ -154.8065,20.2686 ], [ -154.8065,18.9108 ], [ -156.062,18.9108 ] ] ] } } ] }","volume":"37","issue":"18","noUsgsAuthors":false,"publicationDate":"2010-09-28","publicationStatus":"PW","scienceBaseUri":"53cd6829e4b0b29085101db6","contributors":{"authors":[{"text":"Dawson, Phillip B. dawson@usgs.gov","contributorId":2751,"corporation":false,"usgs":true,"family":"Dawson","given":"Phillip","email":"dawson@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":489626,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benitez, M. C.","contributorId":65381,"corporation":false,"usgs":true,"family":"Benitez","given":"M.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":489628,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chouet, Bernard A. 0000-0001-5527-0532 chouet@usgs.gov","orcid":"https://orcid.org/0000-0001-5527-0532","contributorId":3304,"corporation":false,"usgs":true,"family":"Chouet","given":"Bernard","email":"chouet@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":489627,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, David","contributorId":82048,"corporation":false,"usgs":true,"family":"Wilson","given":"David","affiliations":[],"preferred":false,"id":489629,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Okubo, Paul G. 0000-0002-0381-6051 pokubo@usgs.gov","orcid":"https://orcid.org/0000-0002-0381-6051","contributorId":2730,"corporation":false,"usgs":true,"family":"Okubo","given":"Paul","email":"pokubo@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":489625,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70156079,"text":"70156079 - 2010 - King eider use an income strategy for egg production: a case study for incorporating individual dietary variation into nutrient allocation research","interactions":[],"lastModifiedDate":"2015-08-19T12:02:43","indexId":"70156079","displayToPublicDate":"2010-09-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"King eider use an income strategy for egg production: a case study for incorporating individual dietary variation into nutrient allocation research","docAbstract":"<p><span>The use of stored nutrients for reproduction represents an important component of life-history variation. Recent studies from several species have used stable isotopes to estimate the reliance on stored body reserves in reproduction. Such approaches rely on population-level dietary endpoints to characterize stored reserves (&ldquo;capital&rdquo;) and current diet (&ldquo;income&rdquo;). Individual variation in diet choice has so far not been incorporated in such approaches, but is crucial for assessing variation in nutrient allocation strategies. We investigated nutrient allocation to egg production in a large-bodied sea duck in northern Alaska, the king eider (</span><i class=\"EmphasisTypeItalic\">Somateria spectabilis</i><span>). We first used Bayesian isotopic mixing models to quantify at the population level the amount of endogenous carbon and nitrogen invested into egg proteins based on carbon and nitrogen isotope ratios. We then defined the isotopic signature of the current diet of every nesting female based on isotope ratios of eggshell membranes, because diets varied isotopically among individual king eiders on breeding grounds. We used these individual-based dietary isotope signals to characterize nutrient allocation for each female in the study population. At the population level, the Bayesian and the individual-based approaches yielded identical results, and showed that king eiders used an income strategy for the synthesis of egg proteins. The majority of the carbon and nitrogen in albumen (C: 86&nbsp;&plusmn;&nbsp;18%, N: 99&nbsp;&plusmn;&nbsp;1%) and the nitrogen in lipid-free yolk (90&nbsp;&plusmn;&nbsp;15%) were derived from food consumed on breeding grounds. Carbon in lipid-free yolk derived evenly from endogenous sources and current diet (exogenous C: 54&nbsp;&plusmn;&nbsp;24%), but source contribution was highly variable among individual females. These results suggest that even large-bodied birds traditionally viewed as capital breeders use exogenous nutrients for reproduction. We recommend that investigations of nutrient allocation should incorporate individual variation into mixing models to reveal intraspecific variation in reproductive strategies.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00442-010-1619-z","usgsCitation":"Oppel, S., Powell, A., and O’Brien, D.M., 2010, King eider use an income strategy for egg production: a case study for incorporating individual dietary variation into nutrient allocation research: Oecologia, v. 164, no. 1, p. 1-12, https://doi.org/10.1007/s00442-010-1619-z.","productDescription":"12 p.","startPage":"1","endPage":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-009260","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":306939,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":98651,"text":"ofr20091121 - 2010 - Decision analysis framing study: In-valley drainage management strategies for the western San Joaquin Valley, California","interactions":[],"lastModifiedDate":"2022-12-15T20:23:20.959113","indexId":"ofr20091121","displayToPublicDate":"2010-09-01T00:00:00","publicationYear":"2010","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":"2009-1121","title":"Decision analysis framing study: In-valley drainage management strategies for the western San Joaquin Valley, California","docAbstract":"Constraints on drainage management in the western San Joaquin Valley and implications of proposed approaches to management were recently evaluated by the U.S. Geological Survey (USGS). The USGS found that a significant amount of data for relevant technical issues was available and that a structured, analytical decision support tool could help optimize combinations of specific in-valley drainage management strategies, address uncertainties, and document underlying data analysis for future use. To follow-up on USGS's technical analysis and to help define a scientific basis for decisionmaking in implementing in-valley drainage management strategies, this report describes the first step (that is, a framing study) in a Decision Analysis process. In general, a Decision Analysis process includes four steps: (1) problem framing to establish the scope of the decision problem(s) and a set of fundamental objectives to evaluate potential solutions, (2) generation of strategies to address identified decision problem(s), (3) identification of uncertainties and their relationships, and (4) construction of a decision support model. Participation in such a systematic approach can help to promote consensus and to build a record of qualified supporting data for planning and implementation.\r\n\r\nIn December 2008, a Decision Analysis framing study was initiated with a series of meetings designed to obtain preliminary input from key stakeholder groups on the scope of decisions relevant to drainage management that were of interest to them, and on the fundamental objectives each group considered relevant to those decisions. Two key findings of this framing study are: (1) participating stakeholders have many drainage management objectives in common; and (2) understanding the links between drainage management and water management is necessary both for sound science-based decisionmaking and for resolving stakeholder differences about the value of proposed drainage management solutions.\r\n\r\nCiting ongoing legal processes associated with drainage management in the western San Joaquin Valley, the U.S. Bureau of Reclamation (USBR) withdrew from the Decision Analysis process early in the proceedings. Without the involvement of the USBR, the USGS discontinued further development of this study.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20091121","usgsCitation":"Presser, T.S., Jenni, K., Nieman, T., and Coleman, J., 2010, Decision analysis framing study: In-valley drainage management strategies for the western San Joaquin Valley, California: U.S. Geological Survey Open-File Report 2009-1121, iii, 12 p., https://doi.org/10.3133/ofr20091121.","productDescription":"iii, 12 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":434,"text":"National Research Program","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":14054,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1121/","linkFileType":{"id":5,"text":"html"}},{"id":410568,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93936.htm","linkFileType":{"id":5,"text":"html"}},{"id":115915,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1121.jpg"}],"country":"United States","state":"California","county":"San Joaquin Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.5656,\n              35.0631\n            ],\n            [\n              -121.5656,\n              37.75\n            ],\n            [\n              -118.9717,\n              37.75\n            ],\n            [\n              -118.9717,\n              35.0631\n            ],\n            [\n              -121.5656,\n              35.0631\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db672758","contributors":{"authors":[{"text":"Presser, Theresa S. 0000-0001-5643-0147 tpresser@usgs.gov","orcid":"https://orcid.org/0000-0001-5643-0147","contributorId":2467,"corporation":false,"usgs":true,"family":"Presser","given":"Theresa","email":"tpresser@usgs.gov","middleInitial":"S.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":306010,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jenni, Karen E.","contributorId":21256,"corporation":false,"usgs":true,"family":"Jenni","given":"Karen E.","affiliations":[],"preferred":false,"id":306011,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nieman, Timothy","contributorId":91965,"corporation":false,"usgs":true,"family":"Nieman","given":"Timothy","affiliations":[],"preferred":false,"id":306013,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coleman, James","contributorId":63123,"corporation":false,"usgs":true,"family":"Coleman","given":"James","affiliations":[],"preferred":false,"id":306012,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98649,"text":"cir1361 - 2010 - Effects of low-impact-development (LID) practices on streamflow, runoff quantity, and runoff quality in the Ipswich River Basin, Massachusetts: A summary of field and modeling studies","interactions":[],"lastModifiedDate":"2022-09-15T19:14:39.9405","indexId":"cir1361","displayToPublicDate":"2010-09-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1361","title":"Effects of low-impact-development (LID) practices on streamflow, runoff quantity, and runoff quality in the Ipswich River Basin, Massachusetts: A summary of field and modeling studies","docAbstract":"<p>Low-impact-development (LID) approaches are intended to create, retain, or restore natural hydrologic and water-quality conditions that may be affected by human alterations. Wide-scale implementation of LID techniques may offer the possibility of improving conditions in river basins, such as the Ipswich River Basin in Massachusetts, that have run dry during the summer because of groundwater withdrawals and drought. From 2005 to 2008, the U.S. Geological Survey, in a cooperative funding agreement with the Massachusetts Department of Conservation and Recreation, monitored small-scale installations of LID enhancements designed to diminish the effects of storm runoff on the quantity and quality of surface water and groundwater. Funding for the studies also was contributed by the U.S. Environmental Protection Agency’s Targeted Watersheds Grant Program through a financial assistance agreement with Massachusetts Department of Conservation and Recreation. The monitoring studies examined the effects of</p><ul><li>replacing an impervious parking-lot surface with a porous surface on groundwater quality,</li><li>installing rain gardens and porous pavement in a neighborhood of 3 acres on the quantity and quality of stormwater runoff, and</li><li>installing a 3,000-ft2 (square-foot) green roof on the quantity and quality of rainfall-generated roof runoff.</li></ul><p>In addition to these small-scale installations, the U.S. Geological Survey’s Ipswich River Basin model was used to simulate the basin-wide effects on streamflow of several changes: broad-scale implementation of LID techniques, reduced water-supply withdrawals, and water-conservation measures. Water-supply and conservation scenarios for application in model simulations were developed with the assistance of two technical advisory committees that included representatives of State agencies responsible for water resources, the U.S. Environmental Protection Agency, the U.S. Geological Survey, water suppliers, and non-governmental organizations.</p><p>From June 2005 to June 2007, groundwater quality was monitored at the Silver Lake town beach parking lot in Wilmington, Massachusetts, prior to and following the replacement of the conventional, impervious-asphalt surface with a porous surface consisting primarily of porous asphalt and porous pavers designed to enhance rainfall infiltration into the groundwater and to minimize runoff to Silver Lake. Concentrations of phosphorus, nitrogen, cadmium, chromium, copper, lead, nickel, zinc, and total petroleum hydrocarbons in groundwater were monitored. Enhancing infiltration of precipitation did not result in discernible increases in concentrations of these potential groundwater contaminants. Concentrations of dissolved oxygen increased slightly in groundwater profiles following the removal of the impervious asphalt parking-lot surface.</p><p>In Wilmington, Massachusetts, in a 3-acre neighborhood, stormwater runoff volume and quality were monitored to determine the ability of selected LID enhancements (rain gardens and porous paving stones) to reduce flows and loads of the selected constituents to Silver Lake. Water-quality samples were analyzed for nutrients, metals, total petroleum hydrocarbons, and total-coliform and<span>&nbsp;</span><i>E. coli</i><span>&nbsp;</span>bacteria. A decrease in runoff quantity was observed for storms of 0.25 inch or less of precipitation. Water-quality-monitoring results were inconclusive; there were no statistically significant differences in concentrations or loads when the pre- and post-installation-period samples were compared.</p><p>In a third field study, the characteristics of runoff from a vegetated \"green\" roof and a conventional, rubber-membrane roof were compared. The two primary factors affecting the green roof’s water-storage capacity were the amount of precipitation and antecedent dry period. Although concentrations of many of the chemicals in roof runoff were higher from the green roof than from the conventional roof, the ability of the green roof to retain water generally resulted in decreased differences between the total amounts (loads) of the chemicals that ran off the roofs.</p><p>Land-use and water-management changes associated with LID implementation were investigated at multiple spatial scales, using the U.S. Geological Survey’s Ipswich River Basin model, to evaluate the effects of</p><ul><li>updated water-supply withdrawals for the towns of Reading and Wilmington (representing new baseline conditions for all simulations),<br></li><li>potential land-use changes at buildout (potential future development),</li><li>widespread implementation of retrofitting LID techniques,</li><li>basin-scale water withdrawal reductions based on water-conservation pilot programs conducted by the Massachusetts Department of Conservation and Recreation, and</li><li>land-use change and LID applications at a local scale.</li></ul><p>The new baseline simulation indicated that reduced water-supply withdrawals for the towns of Reading and Wilmington led to substantially higher medium and low flows in most of the reaches upstream from the South Middleton streamgage in the upper Ipswich River basin.</p><p>Overall, simulations pointed to the importance of spatial scale in determining the effects of land-use change and LID practices on streamflow. Potential land-use changes at buildout had modest effects on streamflow in most subbasins (percent differences of less than 20 percent) because relatively little land in the basin was available for development. Results of the simulations conducted to evaluate widespread effective-impervious-area reductions upstream from the South Middleton streamgage indicated that the percentages of urban land use and associated effective impervious area were too small for even a 50-percent reduction of effective impervious area to appreciably affect streamflow in most subbasins. In contrast, the results of the hypothetical local-scale simulations indicated that for smaller streams, with high percentages of urban land use and associated effective impervious area, land-use change, development patterns, and LID practices may have substantial effects on streamflow. Modeling studies concurred with the results of fieldwork in the assessment that LID enhancements would likely have the greatest effect on decreasing stormwater runoff when broadly applied to highly impervious urban areas.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/cir1361","collaboration":"Prepared in cooperation with the\r\nMassachusetts Department of Conservation and Recreation and the U.S. Environmental Protection Agency","usgsCitation":"Zimmerman, M.J., Waldron, M.C., Barbaro, J.R., and Sorenson, J.R., 2010, Effects of low-impact-development (LID) practices on streamflow, runoff quantity, and runoff quality in the Ipswich River Basin, Massachusetts: A summary of field and modeling studies: U.S. Geological Survey Circular 1361, 40 p., https://doi.org/10.3133/cir1361.","productDescription":"40 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":377,"text":"Massachusetts-Rhode Island Water Science Center","active":false,"usgs":true}],"links":[{"id":115918,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir_1361.jpg"},{"id":406782,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93937.htm","linkFileType":{"id":5,"text":"html"}},{"id":14052,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1361/","linkFileType":{"id":5,"text":"html"}}],"scale":"25000","projection":"Lambert Conformal Conic Projection","country":"United States","state":"Massachusetts","otherGeospatial":"Ipswich River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -71.2,\n              42.5\n            ],\n            [\n              -70.775,\n              42.5\n            ],\n            [\n              -70.775,\n              42.6989\n            ],\n            [\n              -71.2,\n              42.6989\n            ],\n            [\n              -71.2,\n              42.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a29e4b07f02db611c63","contributors":{"authors":[{"text":"Zimmerman, Marc J. mzimmerm@usgs.gov","contributorId":3245,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Marc","email":"mzimmerm@usgs.gov","middleInitial":"J.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306005,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waldron, Marcus C. mwaldron@usgs.gov","contributorId":1867,"corporation":false,"usgs":true,"family":"Waldron","given":"Marcus","email":"mwaldron@usgs.gov","middleInitial":"C.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306004,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barbaro, Jeffrey R. 0000-0002-6107-2142 jrbarbar@usgs.gov","orcid":"https://orcid.org/0000-0002-6107-2142","contributorId":1626,"corporation":false,"usgs":true,"family":"Barbaro","given":"Jeffrey","email":"jrbarbar@usgs.gov","middleInitial":"R.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306003,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sorenson, Jason R. 0000-0001-5553-8594 jsorenso@usgs.gov","orcid":"https://orcid.org/0000-0001-5553-8594","contributorId":3468,"corporation":false,"usgs":true,"family":"Sorenson","given":"Jason","email":"jsorenso@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306006,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98648,"text":"sir20105074 - 2010 - Water quality and ecological condition of urban streams in Independence, Missouri, June 2005 through December 2008","interactions":[],"lastModifiedDate":"2012-03-08T17:16:32","indexId":"sir20105074","displayToPublicDate":"2010-08-31T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5074","title":"Water quality and ecological condition of urban streams in Independence, Missouri, June 2005 through December 2008","docAbstract":"To identify the sources of selected constituents in urban streams and better understand processes affecting water quality and their effects on the ecological condition of urban streams and the Little Blue River in Independence, Missouri the U.S. Geological Survey in cooperation with the City of Independence Water Pollution Control Department initiated a study in June 2005 to characterize water quality and evaluate the ecological condition of streams within Independence. Base-flow and stormflow samples collected from five sites within Independence, from June 2005 to December 2008, were used to characterize the physical, chemical, and biologic effects of storm runoff on the water quality in Independence streams and the Little Blue River. The streams draining Independence-Rock Creek, Sugar Creek, Mill Creek, Fire Prairie Creek, and the Little Blue River-drain to the north and the Missouri River. Two small predominantly urban streams, Crackerneck Creek [12.9-square kilometer (km2) basin] and Spring Branch Creek (25.4-km2 basin), were monitored that enter into the Little Blue River between upstream and downstream monitoring sites. The Little Blue River above the upstream site is regulated by several reservoirs, but streamflow is largely uncontrolled. The Little Blue River Basin encompasses 585 km2 with about 168 km2 or 29 percent of the basin lying within the city limits of Independence. Water-quality samples also were collected for Rock Creek (24.1-km2 basin) that drains the western part of Independence.\r\n\r\nData collection included streamflow, physical properties, dissolved oxygen, chloride, metals, nutrients, common organic micro-constituents, and fecal indicator bacteria. Benthic macroinvertebrate community surveys and habitat assessments were conducted to establish a baseline for evaluating the ecological condition and health of streams within Independence. Additional dry-weather screenings during base flow of all streams draining Independence were conducted to identify point-source discharges and other sources of potential contamination. Regression models were used to estimate continuous and annual flow-weighted concentrations, loadings, and yields for chloride, total nitrogen, total phosphorus, suspended sediment, and Escherichia coli bacteria densities.\r\n\r\nBase-flow and stormflow water-quality samples were collected at five sites within Independence. Base-flow samples for Rock Creek and two tributary streams to the Little Blue River exceeded recommended U.S. Environmental Protection Agency standards for the protection of aquatic life for total nitrogen and total phosphorus in about 90 percent of samples, whereas samples collected at two Little Blue River sites exceeded both the total nitrogen and total phosphorus standards less often, about 30 percent of the time. Dry-weather screening identified a relatively small number (14.0 percent of all analyses) of potential point-source discharges for total chlorine, phenols, and anionic surfactants.\r\n\r\nStormflow had larger median measured concentrations of total common organic micro-constituents than base flow. The four categories of common organic micro-constituents with the most total detections in stormflow were pesticides (100 percent), polyaromatic hydrocarbons and combustion by-products (99 percent), plastics (93 percent), and stimulants (91 percent). Most detections of common organic micro-constituents were less than 2 micrograms per liter. Median instantaneous Escherichia coli densities for stormflow samples showed a 21 percent increase measured at the downstream site on the Little Blue River from the sampled upstream site. Using microbial source-tracking methods, less than 30 percent of Escherichia coli bacteria in samples were identified as having human sources.\r\n\r\nBase-flow and stormflow data were used to develop regression equations with streamflow and continuous water-quality data to estimate daily concentrations, loads, and yields of various water-quality contaminants.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105074","collaboration":"Prepared in cooperation with the City of Independence, Missouri, Water Pollution Control Department","usgsCitation":"Christensen, D., Harris, T.E., and Niesen, S.L., 2010, Water quality and ecological condition of urban streams in Independence, Missouri, June 2005 through December 2008: U.S. Geological Survey Scientific Investigations Report 2010-5074, xi, 115 p., https://doi.org/10.3133/sir20105074.","productDescription":"xi, 115 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2005-06-01","temporalEnd":"2008-12-31","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":126373,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5074.jpg"},{"id":14051,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5074/","linkFileType":{"id":5,"text":"html"}}],"scale":"24000","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.6,38.75 ], [ -94.6,39.166666666666664 ], [ -94.16666666666667,39.166666666666664 ], [ -94.16666666666667,38.75 ], [ -94.6,38.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac9e4b07f02db67c4ef","contributors":{"authors":[{"text":"Christensen, D.","contributorId":82423,"corporation":false,"usgs":true,"family":"Christensen","given":"D.","email":"","affiliations":[],"preferred":false,"id":306002,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harris, Thomas E. tharris@usgs.gov","contributorId":3882,"corporation":false,"usgs":true,"family":"Harris","given":"Thomas","email":"tharris@usgs.gov","middleInitial":"E.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306000,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Niesen, Shelley L. ssevern@usgs.gov","contributorId":4583,"corporation":false,"usgs":true,"family":"Niesen","given":"Shelley","email":"ssevern@usgs.gov","middleInitial":"L.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306001,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98629,"text":"ofr20101140 - 2010 - Biostratigraphy of the San Joaquin Formation in borrow-source area B-17, Kettleman Hills landfill, North Dome, Kettleman Hills, Kings County, California","interactions":[],"lastModifiedDate":"2012-02-10T00:11:56","indexId":"ofr20101140","displayToPublicDate":"2010-08-28T00:00:00","publicationYear":"2010","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":"2010-1140","title":"Biostratigraphy of the San Joaquin Formation in borrow-source area B-17, Kettleman Hills landfill, North Dome, Kettleman Hills, Kings County, California","docAbstract":"The stratigraphic occurrences and interpreted biostratigraphy of invertebrate fossil taxa in the upper San Joaquin Formation and lower-most Tulare Formation encountered at the Chemical Waste Management Kettleman Hills waste disposal facility on the North Dome of the Kettleman Hills, Kings County, California are documented. Significant new findings include (1) a detailed biostratigraphy of the upper San Joaquin Formation; (2) the first fossil occurrence of Modiolus neglectus; (3) distinguishing Ostrea sequens from Myrakeena veatchii (Ostrea vespertina of authors) in the Central Valley of California; (4) differentiating two taxa previously attributed to Pteropurpura festivus; (5) finding a stratigraphic succession between Caesia coalingensis (lower in the section) and Catilon iniquus (higher in the section); and (6) recognizing Pliocene-age fossils from around Santa Barbara. In addition, the presence of the bivalves Anodonta and Gonidea in the San Joaquin Formation, both restricted to fresh water and common in the Tulare Formation, confirm periods of fresh water or very close fresh-water environments during deposition of the San Joaquin Formation. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101140","usgsCitation":"Powell, C.L., Fisk, L.H., Maloney, D.F., and Haasl, D.M., 2010, Biostratigraphy of the San Joaquin Formation in borrow-source area B-17, Kettleman Hills landfill, North Dome, Kettleman Hills, Kings County, California: U.S. Geological Survey Open-File Report 2010-1140, iii, 29 p.; Figure 2 PDF, https://doi.org/10.3133/ofr20101140.","productDescription":"iii, 29 p.; Figure 2 PDF","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":671,"text":"Western Region Geology and Geophysics Science Center","active":false,"usgs":true}],"links":[{"id":115989,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1140.jpg"},{"id":14030,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1140/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.1,35.9 ], [ -120.1,36 ], [ -120,36 ], [ -120,35.9 ], [ -120.1,35.9 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a30e4b07f02db616903","contributors":{"authors":[{"text":"Powell, Charles L. II 0000-0002-1913-555X cpowell@usgs.gov","orcid":"https://orcid.org/0000-0002-1913-555X","contributorId":3243,"corporation":false,"usgs":true,"family":"Powell","given":"Charles","suffix":"II","email":"cpowell@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":305961,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fisk, Lanny H.","contributorId":90013,"corporation":false,"usgs":true,"family":"Fisk","given":"Lanny","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":305963,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maloney, David F.","contributorId":92391,"corporation":false,"usgs":true,"family":"Maloney","given":"David","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":305964,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haasl, David M.","contributorId":37448,"corporation":false,"usgs":true,"family":"Haasl","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":305962,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98630,"text":"ofr20101111 - 2010 - High-resolution seismic-reflection data offshore of Dana Point, southern California borderland","interactions":[],"lastModifiedDate":"2012-02-02T00:15:43","indexId":"ofr20101111","displayToPublicDate":"2010-08-28T00:00:00","publicationYear":"2010","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":"2010-1111","title":"High-resolution seismic-reflection data offshore of Dana Point, southern California borderland","docAbstract":"The U.S. Geological Survey collected high-resolution shallow seismic-reflection profiles in September 2006 in the offshore area between Dana Point and San Mateo Point in southern Orange and northern San Diego Counties, California. Reflection profiles were located to image folds and reverse faults associated with the San Mateo fault zone and high-angle strike-slip faults near the shelf break (the Newport-Inglewood fault zone) and at the base of the slope. Interpretations of these data were used to update the USGS Quaternary fault database and in shaking hazard models for the State of California developed by the Working Group for California Earthquake Probabilities. This cruise was funded by the U.S. Geological Survey Coastal and Marine Catastrophic Hazards project. \r\n\r\nSeismic-reflection data were acquired aboard the R/V Sea Explorer, which is operated by the Ocean Institute at Dana Point. A SIG ELC820 minisparker seismic source and a SIG single-channel streamer were used. More than 420 km of seismic-reflection data were collected. \r\n\r\nThis report includes maps of the seismic-survey sections, linked to Google Earth? software, and digital data files showing images of each transect in SEG-Y, JPEG, and TIFF formats. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101111","usgsCitation":"Sliter, R.W., Ryan, H., and Triezenberg, P., 2010, High-resolution seismic-reflection data offshore of Dana Point, southern California borderland: U.S. Geological Survey Open-File Report 2010-1111, HTML Document, https://doi.org/10.3133/ofr20101111.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":199656,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":14031,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1111/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a58e4b07f02db62f5e0","contributors":{"authors":[{"text":"Sliter, Ray W. 0000-0003-0337-3454 rsliter@usgs.gov","orcid":"https://orcid.org/0000-0003-0337-3454","contributorId":1992,"corporation":false,"usgs":true,"family":"Sliter","given":"Ray","email":"rsliter@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":305965,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ryan, Holly F.","contributorId":67616,"corporation":false,"usgs":true,"family":"Ryan","given":"Holly F.","affiliations":[],"preferred":false,"id":305967,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Triezenberg, Peter J.","contributorId":32625,"corporation":false,"usgs":true,"family":"Triezenberg","given":"Peter J.","affiliations":[],"preferred":false,"id":305966,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98631,"text":"sir20105113 - 2010 - Fluorine, fluorite, and fluorspar in central Colorado","interactions":[],"lastModifiedDate":"2012-02-10T00:11:56","indexId":"sir20105113","displayToPublicDate":"2010-08-28T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5113","title":"Fluorine, fluorite, and fluorspar in central Colorado","docAbstract":"Fluorine (F) is a widespread element that was deposited in a variety of rocks, minerals, and geologic environments in central Colorado. It occurs as a trace element, as a major component of the mineral fluorite (CaFs), and as a major economic source of fluorine in fluorspar deposits, which are massive concentrations of fluorite. This study has compiled available geochemical analyses of rocks, both unmineralized and mineralized, to determine the distribution of fluorine in specific age-lithologic categories, ranging from 1.8-giga-annum (Ga) metamorphic rocks to modern soils, throughout central Colorado. It also draws upon field studies of fluorine-rich mineral deposits, including fluorspar deposits, to decipher the nearly two-billion-year-long geologic history of fluorine in the study area, with implications for mineral-resource evaluations and exploration. The resulting compilation provides an important inventory of the naturally occurring levels and sources of fluorine that ultimately weather, erode, and become part of surface waters that are used for domestic water supplies in densely populated areas along the Colorado Front Range.\r\n\r\nMost commonly, fluorine is a trace element in virtually all rocks in the region. In the 3,798 unmineralized rocks that were analyzed for fluorine in the study area, the average fluorine content was 1,550 parts per million (ppm). The median was 640 ppm, nearly identical to the average crustal abundance of 650 ppm, and some high-fluorine rocks in the Pikes Peak area skewed the average to a value much greater than the median. Most unmineralized age-lithologic rock suites, including Proterozoic metamorphic rocks, 1.7- and 1.4-Ga granitic batholiths, Cambrian igneous rocks, Phanerozoic sedimentary rocks, and Laramide and Tertiary igneous rocks, had median fluorine values of 400 to 740 ppm fluorine. In all suites, however, a small number of analyzed samples contained more than 1 percent (10,000 ppm) fluorine. The 1.1-Ga plutonic rocks related to the Pikes Peak batholith had a mean fluorine content of 1,700 ppm, and primary magmatic fluorite and fluorite-bearing pegmatites are common throughout that igneous mass.\r\n\r\nFluorine was deposited in many types of economic mineral deposits in central Colorado, and it currently is a significant trace element in some thermal springs. In the fluorspar deposits, fluorine contents were as high as 37 percent. Some fluorine-rich porphyry systems, such as Jamestown, had fluorine values that ranged from 200 ppm to nearly 37 percent fluorine, and veins in other deposits contained hydrothermal fluorite, although it was not ubiquitous. For the 495 samples from non-fluorspar mining districts (and excluding Jamestown), however, the median fluorine content was 990 ppm. This is above the crustal average but still relatively modest compared to the fluorspar deposits, and it indicates that the majority of the mineralizing systems in central Colorado did not deposit large amounts of fluorine. Nevertheless, the fluorine- and fluorite-rich mineral deposits could be used as guides for the evaluation and discovery of related but concealed porphyry and epithermal base- and precious-metal deposits.\r\n\r\nThe Cenozoic geologic history of central Colorado included multiple periods during which fluorine-bearing rocks and mineral deposits were exposed, weathered, and eroded. This protracted history has released fluorine into soils and regoliths, and modern rainfall and snowmelt interact with these substrates to add fluorine to the hydrosphere. This study did not evaluate the fluorine contents of water or make any predictions about what areas might be major sources for dissolved fluorine. However, the abundant data that are available on fluorine in surface water and ground water can be coupled with the results of this study to provide additional insight into natural sources of fluorine in domestic drinking water.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105113","usgsCitation":"Wallace, A.R., 2010, Fluorine, fluorite, and fluorspar in central Colorado: U.S. Geological Survey Scientific Investigations Report 2010-5113, CD-ROM: v, 61 p.; Appendix (XLS) , https://doi.org/10.3133/sir20105113.","productDescription":"CD-ROM: v, 61 p.; Appendix (XLS) ","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":115991,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5113.jpg"},{"id":14032,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5113/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -108,37 ], [ -108,41 ], [ -104,41 ], [ -104,37 ], [ -108,37 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49d6e4b07f02db5de640","contributors":{"authors":[{"text":"Wallace, Alan R.","contributorId":6024,"corporation":false,"usgs":true,"family":"Wallace","given":"Alan","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":305968,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":98633,"text":"fs20103063 - 2010 - Recent (2001-09) hydrologic history and regionalization studies in Texas-Statistical characterization of storms, floods, and rainfall-runoff relations","interactions":[],"lastModifiedDate":"2016-08-11T16:26:32","indexId":"fs20103063","displayToPublicDate":"2010-08-28T00:00:00","publicationYear":"2010","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":"2010-3063","title":"Recent (2001-09) hydrologic history and regionalization studies in Texas-Statistical characterization of storms, floods, and rainfall-runoff relations","docAbstract":"<p>As part of numerous cooperative studies investigating rainfall and streamflow during 1991-2009 with the Texas Department of Transportation and Texas Commission on Environmental Quality, the U.S. Geological Survey (USGS) published about 20 reports describing either historical streamflow conditions (hydrologic history) in Texas or the results of studies involving regional rainfall and streamflow statistics (regionalization studies). Both types of studies are widely used in engineering and scientific applications. Long-term rainfall and streamflow records are essential for deriving reliable rainfall and streamflow statistics. Whereas the need for such records is regionwide, rainfall and streamflow records are site-specific. The USGS has pioneered ways to mathematically transfer site-specific rainfall and streamflow information to provide regional statistical models. In addition to publishing reports describing historical hydrologic data at many monitored locations throughout Texas, the USGS has published reports describing regional models for estimating rainfall and streamflow statistics at unmonitored locations. The primary objectives of these regionalization studies were to provide historical perspectives of streamflow conditions in Texas or estimates of specific statistics of rainfall or streamflow. Statistics such as 6-hour, 1-percent annual exceedance rainfall (a large storm) or 2-percent annual exceedance streamflow (a substantial flood) can be estimated for locations lacking sufficient direct observations of rainfall and streamflow data. This fact sheet provides a brief synopsis of 12 recent (2001-09) USGS hydrologic history and regionalization studies in Texas organized thematically and chronologically.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, Virginia","doi":"10.3133/fs20103063","collaboration":"In cooperation with the Texas Department of Transportation and the Texas Commission on Environmental Quality","usgsCitation":"Asquith, W.H., 2010, Recent (2001-09) hydrologic history and regionalization studies in Texas-Statistical characterization of storms, floods, and rainfall-runoff relations: U.S. Geological Survey Fact Sheet 2010-3063, 2 p., https://doi.org/10.3133/fs20103063.","productDescription":"2 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2001-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":115990,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3063.jpg"},{"id":14034,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3063/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a52e4b07f02db62a537","contributors":{"authors":[{"text":"Asquith, William H. 0000-0002-7400-1861 wasquith@usgs.gov","orcid":"https://orcid.org/0000-0002-7400-1861","contributorId":1007,"corporation":false,"usgs":true,"family":"Asquith","given":"William","email":"wasquith@usgs.gov","middleInitial":"H.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305970,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":98638,"text":"ofr20101187 - 2010 - Connecticut Highlands technical report— Documentation of the regional rainfall-runoff model","interactions":[],"lastModifiedDate":"2022-02-07T16:10:26.287139","indexId":"ofr20101187","displayToPublicDate":"2010-08-28T00:00:00","publicationYear":"2010","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":"2010-1187","title":"Connecticut Highlands technical report— Documentation of the regional rainfall-runoff model","docAbstract":"<p><span>This report provides the supporting data and describes the data sources, methodologies, and assumptions used in the assessment of existing and potential water resources of the Highlands of Connecticut and Pennsylvania (referred to herein as the &ldquo;Highlands&rdquo;). Included in this report are Highlands groundwater and surface-water use data and the methods of data compilation. Annual mean streamflow and annual mean base-flow estimates from selected U.S. Geological Survey (USGS) gaging stations were computed using data for the period of record through water year 2005. The methods of watershed modeling are discussed and regional and sub-regional water budgets are provided. Information on Highlands surface-water-quality trends is presented. USGS web sites are provided as sources for additional information on groundwater levels, streamflow records, and ground- and surface-water-quality data. Interpretation of these data and the findings are summarized in the Highlands study report.</span></p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101187","collaboration":"Prepared in cooperation with the U.S. Forest Service","usgsCitation":"Ahearn, E.A., and Bjerklie, D.M., 2010, Connecticut Highlands technical report— Documentation of the regional rainfall-runoff model: U.S. Geological Survey Open-File Report 2010-1187, 43 p., https://doi.org/10.3133/ofr20101187.","productDescription":"43 p.","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-011410","costCenters":[{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"links":[{"id":115994,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1187.jpg"},{"id":14039,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1187/","linkFileType":{"id":5,"text":"html"}},{"id":388239,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93940.htm"}],"country":"United States","state":"Connecticut","otherGeospatial":"Connecticut Highlands","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.5,41.25 ], [ -73.5,42.083333333333336 ], [ -72.75,42.083333333333336 ], [ -72.75,41.25 ], [ -73.5,41.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b13e4b07f02db6a3216","contributors":{"authors":[{"text":"Ahearn, Elizabeth A. 0000-0002-5633-2640 eaahearn@usgs.gov","orcid":"https://orcid.org/0000-0002-5633-2640","contributorId":194658,"corporation":false,"usgs":true,"family":"Ahearn","given":"Elizabeth","email":"eaahearn@usgs.gov","middleInitial":"A.","affiliations":[{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true},{"id":377,"text":"Massachusetts-Rhode Island Water Science Center","active":false,"usgs":true}],"preferred":false,"id":305980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bjerklie, David M. 0000-0002-9890-4125 dmbjerkl@usgs.gov","orcid":"https://orcid.org/0000-0002-9890-4125","contributorId":3589,"corporation":false,"usgs":true,"family":"Bjerklie","given":"David","email":"dmbjerkl@usgs.gov","middleInitial":"M.","affiliations":[{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305981,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98644,"text":"sir20105123 - 2010 - Steady-state and transient models of groundwater flow and advective transport, Eastern Snake River Plain aquifer, Idaho National Laboratory and vicinity, Idaho","interactions":[],"lastModifiedDate":"2012-03-08T17:16:32","indexId":"sir20105123","displayToPublicDate":"2010-08-28T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5123","title":"Steady-state and transient models of groundwater flow and advective transport, Eastern Snake River Plain aquifer, Idaho National Laboratory and vicinity, Idaho","docAbstract":"Three-dimensional steady-state and transient models of groundwater flow and advective transport in the eastern Snake River Plain aquifer were developed by the U.S. Geological Survey in cooperation with the U.S. Department of Energy. The steady-state and transient flow models cover an area of 1,940 square miles that includes most of the 890 square miles of the Idaho National Laboratory (INL). A 50-year history of waste disposal at the INL has resulted in measurable concentrations of waste contaminants in the eastern Snake River Plain aquifer. Model results can be used in numerical simulations to evaluate the movement of contaminants in the aquifer.\r\n\r\nSaturated flow in the eastern Snake River Plain aquifer was simulated using the MODFLOW-2000 groundwater flow model. Steady-state flow was simulated to represent conditions in 1980 with average streamflow infiltration from 1966-80 for the Big Lost River, the major variable inflow to the system. The transient flow model simulates groundwater flow between 1980 and 1995, a period that included a 5-year wet cycle (1982-86) followed by an 8-year dry cycle (1987-94). Specified flows into or out of the active model grid define the conditions on all boundaries except the southwest (outflow) boundary, which is simulated with head-dependent flow. In the transient flow model, streamflow infiltration was the major stress, and was variable in time and location. The models were calibrated by adjusting aquifer hydraulic properties to match simulated and observed heads or head differences using the parameter-estimation program incorporated in MODFLOW-2000. Various summary, regression, and inferential statistics, in addition to comparisons of model properties and simulated head to measured properties and head, were used to evaluate the model calibration. \r\n\r\nModel parameters estimated for the steady-state calibration included hydraulic conductivity for seven of nine hydrogeologic zones and a global value of vertical anisotropy. Parameters estimated for the transient calibration included specific yield for five of the seven hydrogeologic zones. The zones represent five rock units and parts of four rock units with abundant interbedded sediment. All estimates of hydraulic conductivity were nearly within 2 orders of magnitude of the maximum expected value in a range that exceeds 6 orders of magnitude. The estimate of vertical anisotropy was larger than the maximum expected value. All estimates of specific yield and their confidence intervals were within the ranges of values expected for aquifers, the range of values for porosity of basalt, and other estimates of specific yield for basalt. \r\n\r\nThe steady-state model reasonably simulated the observed water-table altitude, orientation, and gradients. Simulation of transient flow conditions accurately reproduced observed changes in the flow system resulting from episodic infiltration from the Big Lost River and facilitated understanding and visualization of the relative importance of historical differences in infiltration in time and space. As described in a conceptual model, the numerical model simulations demonstrate flow that is (1) dominantly horizontal through interflow zones in basalt and vertical anisotropy resulting from contrasts in hydraulic conductivity of various types of basalt and the interbedded sediments, (2) temporally variable due to streamflow infiltration from the Big Lost River, and (3) moving downward downgradient of the INL.\r\n\r\nThe numerical models were reparameterized, recalibrated, and analyzed to evaluate alternative conceptualizations or implementations of the conceptual model. The analysis of the reparameterized models revealed that little improvement in the model could come from alternative descriptions of sediment content, simulated aquifer thickness, streamflow infiltration, and vertical head distribution on the downgradient boundary. Of the alternative estimates of flow to or from the aquifer, only a 20 percent decrease in ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105123","collaboration":"Prepared in cooperation with the U.S. Department of Energy DOE/ID-22209","usgsCitation":"Ackerman, D.J., Rousseau, J.P., Rattray, G.W., and Fisher, J.C., 2010, Steady-state and transient models of groundwater flow and advective transport, Eastern Snake River Plain aquifer, Idaho National Laboratory and vicinity, Idaho: U.S. Geological Survey Scientific Investigations Report 2010-5123, xii, 220 p. , https://doi.org/10.3133/sir20105123.","productDescription":"xii, 220 p. 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