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.
","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, in 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":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":"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.
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.
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.
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 (>) 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 > 1.0), “moderate” (0.1 < relative-concentration ≤ 1.0), or “low” (relative-concentration ≤ 0.1). Inorganic constituent relative-concentrations were classified as “high” (relative-concentration > 1.0), “moderate” (0.5 < relative-concentration ≤ 1.0), or “low” (relative-concentration ≤ 0.5).
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).
For inorganic constituents with human-health benchmarks, relative-concentrations were high in 14.0 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 percent). In contrast, relative-concentrations of organic constituents (one or more) were high in 1.4 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 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.
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 <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.
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.
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.
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.
","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":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":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":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":70003380,"text":"70003380 - 2010 - Weighted regressions on time, discharge, and season (WRTDS), with an application to Chesapeake Bay River inputs","interactions":[],"lastModifiedDate":"2021-02-16T17:13:58.165857","indexId":"70003380","displayToPublicDate":"2010-09-07T13:06:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Weighted regressions on time, discharge, and season (WRTDS), with an application to Chesapeake Bay River inputs","docAbstract":"A new approach to the analysis of long‐term surface water‐quality data is proposed and implemented. The goal of this approach is to increase the amount of information that is extracted from the types of rich water‐quality datasets that now exist. The method is formulated to allow for maximum flexibility in representations of the long‐term trend, seasonal components, and discharge‐related components of the behavior of the water‐quality variable of interest. It is designed to provide internally consistent estimates of the actual history of concentrations and fluxes as well as histories that eliminate the influence of year‐to‐year variations in streamflow. The method employs the use of weighted regressions of concentrations on time, discharge, and season. Finally, the method is designed to be useful as a diagnostic tool regarding the kinds of changes that are taking place in the watershed related to point sources, groundwater sources, and surface‐water nonpoint sources. The method is applied to datasets for the nine large tributaries of Chesapeake Bay from 1978 to 2008. The results show a wide range of patterns of change in total phosphorus and in dissolved nitrate plus nitrite. These results should prove useful in further examination of the causes of changes, or lack of changes, and may help inform decisions about future actions to reduce nutrient enrichment in the Chesapeake Bay and its watershed.
","language":"English","publisher":"Wiley","doi":"10.1111/j.1752-1688.2010.00482.x","usgsCitation":"Hirsch, R.M., Moyer, D., and Archfield, S.A., 2010, Weighted regressions on time, discharge, and season (WRTDS), with an application to Chesapeake Bay River inputs: Journal of the American Water Resources Association, v. 46, no. 5, p. 857-880, https://doi.org/10.1111/j.1752-1688.2010.00482.x.","productDescription":"24 p.","startPage":"857","endPage":"880","numberOfPages":"24","temporalStart":"1978-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":146,"text":"Branch of Regional Research-Eastern Region","active":false,"usgs":true}],"links":[{"id":475671,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/j.1752-1688.2010.00482.x","text":"External Repository"},{"id":383291,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Virginia","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.00341796875,\n 36.89719446989036\n ],\n [\n -75.76171875,\n 37.579412513438385\n ],\n [\n -75.5419921875,\n 38.013476231041935\n ],\n [\n -75.87158203125,\n 39.690280594818034\n ],\n [\n -76.35498046875,\n 39.639537564366684\n ],\n [\n -77.255859375,\n 38.58252615935333\n ],\n [\n -76.88232421875,\n 37.45741810262938\n ],\n [\n -76.11328125,\n 36.756490329505176\n ],\n [\n -76.00341796875,\n 36.89719446989036\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"46","issue":"5","noUsgsAuthors":false,"publicationDate":"2010-09-07","publicationStatus":"PW","scienceBaseUri":"505bcfc9e4b08c986b32eae1","contributors":{"authors":[{"text":"Hirsch, Robert M. 0000-0002-4534-075X rhirsch@usgs.gov","orcid":"https://orcid.org/0000-0002-4534-075X","contributorId":2005,"corporation":false,"usgs":true,"family":"Hirsch","given":"Robert","email":"rhirsch@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":347067,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moyer, Douglas 0000-0001-6330-478X dlmoyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6330-478X","contributorId":2670,"corporation":false,"usgs":true,"family":"Moyer","given":"Douglas","email":"dlmoyer@usgs.gov","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":false,"id":347068,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Archfield, Stacey A. 0000-0002-9011-3871 sarch@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-3871","contributorId":1874,"corporation":false,"usgs":true,"family":"Archfield","given":"Stacey","email":"sarch@usgs.gov","middleInitial":"A.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":347066,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70205212,"text":"70205212 - 2010 - The complex future of hydrogeology","interactions":[],"lastModifiedDate":"2020-09-02T13:34:32.806137","indexId":"70205212","displayToPublicDate":"2010-09-06T10:37:20","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"The complex future of hydrogeology","docAbstract":"No abstract available.
","language":"English","publisher":"Springer","doi":"10.1007/s10040-010-0585-1","usgsCitation":"Galloway, D.L., 2010, The complex future of hydrogeology: Hydrogeology Journal, v. 18, no. 4, p. 807-810, https://doi.org/10.1007/s10040-010-0585-1.","productDescription":"4 p.","startPage":"807","endPage":"810","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":367255,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-02-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Galloway, Devin L. 0000-0003-0904-5355 dlgallow@usgs.gov","orcid":"https://orcid.org/0000-0003-0904-5355","contributorId":679,"corporation":false,"usgs":true,"family":"Galloway","given":"Devin","email":"dlgallow@usgs.gov","middleInitial":"L.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true},{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true}],"preferred":true,"id":770377,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":98661,"text":"sir20105091 - 2010 - Bedload-surrogate monitoring technologies","interactions":[],"lastModifiedDate":"2012-02-02T00:15:45","indexId":"sir20105091","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":"2010-5091","title":"Bedload-surrogate monitoring technologies","docAbstract":"Advances in technologies for quantifying bedload fluxes and in some cases bedload size distributions in rivers show promise toward supplanting traditional physical samplers and sampling methods predicated on the collection and analysis of physical bedload samples. Four workshops held from 2002 to 2007 directly or peripherally addressed bedload-surrogate technologies, and results from these workshops have been compiled to evaluate the state-of-the-art in bedload monitoring. Papers from the 2007 workshop are published for the first time with this report. Selected research and publications since the 2007 workshop also are presented.\r\n\r\nTraditional samplers used for some or all of the last eight decades include box or basket samplers, pan or tray samplers, pressure-difference samplers, and trough or pit samplers. Although still useful, the future niche of these devices may be as a means for calibrating bedload-surrogate technologies operating with active- and passive-type sensors, in many cases continuously and automatically at a river site. Active sensors include acoustic Doppler current profilers (ADCPs), sonar, radar, and smart sensors. Passive sensors include geophones (pipes or plates) in direct contact with the streambed, hydrophones deployed in the water column, impact columns, and magnetic detection. The ADCP for sand and geophones for gravel are currently the most developed techniques, several of which have been calibrated under both laboratory and field conditions.\r\n\r\nAlthough none of the bedload-surrogate technologies described herein are broadly accepted for use in large-scale monitoring programs, several are under evaluation. The benefits of verifying and operationally deploying selected bedload-surrogate monitoring technologies could be considerable, providing for more frequent and consistent, less expensive, and arguably more accurate bedload data obtained with reduced personal risk for use in managing the world's sedimentary resources.\r\n\r\n\r\n\r\nTwenty-six papers are published for the first time as part of the 2007 International Bedload-Surrogate Monitoring Workshop (listed in table 2 in alphabetical order by name of first author). Sequential page numbering of the papers begins on page 38, after the last page of the report. The report plus the 26 papers comprise 430 pages.\r\n\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105091","usgsCitation":"Gray, J.R., Laronne, J.B., and Marr, J.D., 2010, Bedload-surrogate monitoring technologies: U.S. Geological Survey Scientific Investigations Report 2010-5091, vi, 37 p.; and 26 papers submitted as part of the International Bedload-Surrogate Monitoring Workshop. \r\n , https://doi.org/10.3133/sir20105091.","productDescription":"vi, 37 p.; and 26 papers submitted as part of the International Bedload-Surrogate Monitoring Workshop. \r\n ","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":126375,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5091.jpg"},{"id":14065,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5091/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a62e4b07f02db6362c3","contributors":{"authors":[{"text":"Gray, John R. 0000-0002-8817-3701 jrgray@usgs.gov","orcid":"https://orcid.org/0000-0002-8817-3701","contributorId":1158,"corporation":false,"usgs":true,"family":"Gray","given":"John","email":"jrgray@usgs.gov","middleInitial":"R.","affiliations":[{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true}],"preferred":true,"id":306054,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Laronne, Jonathan B.","contributorId":91207,"corporation":false,"usgs":false,"family":"Laronne","given":"Jonathan","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":306056,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marr, Jeffrey D. G.","contributorId":80791,"corporation":false,"usgs":false,"family":"Marr","given":"Jeffrey","email":"","middleInitial":"D. G.","affiliations":[{"id":47665,"text":"St. Anthony Falls Laboratory, University of Minnesota, Minneapolis, MN, USA","active":true,"usgs":false}],"preferred":false,"id":306055,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"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":98669,"text":"fs20103060 - 2010 - Groundwater quality in the North San Francisco Bay groundwater basins, California","interactions":[],"lastModifiedDate":"2012-03-08T17:16:33","indexId":"fs20103060","displayToPublicDate":"2010-09-04T00:00:00","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":"2010-3060","title":"Groundwater quality in the North San Francisco Bay groundwater basins, California","docAbstract":"Groundwater provides more than 40 percent of California's drinking water. To protect this vital resource, the State of California created the Groundwater Ambient Monitoring and Assessment (GAMA) Program. The Priority Basin Project of the GAMA Program provides a comprehensive assessment of the State's groundwater quality and increases public access to groundwater-quality information. The basins north of San Francisco constitute one of the study units being evaluated. ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20103060","collaboration":"U.S. Geological Survey and the California State Water Resources Control Board\r\n","usgsCitation":"Kulongoski, J., and Belitz, K., 2010, Groundwater quality in the North San Francisco Bay groundwater basins, California: U.S. Geological Survey Fact Sheet 2010-3060, 4 p., https://doi.org/10.3133/fs20103060.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":578,"text":"State Water Resources Control Board","active":false,"usgs":true}],"links":[{"id":115925,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3060.jpg"},{"id":14073,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3060/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a92e4b07f02db657a20","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":306085,"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":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":306084,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"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":98662,"text":"fs20093080 - 2010 - Source, Use, and Disposition of Freshwater in Puerto Rico, 2005","interactions":[],"lastModifiedDate":"2012-03-08T17:16:33","indexId":"fs20093080","displayToPublicDate":"2010-09-04T00:00:00","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":"2009-3080","title":"Source, Use, and Disposition of Freshwater in Puerto Rico, 2005","docAbstract":"Water diverted from streams and pumped from wells constitutes the main sources of water for the 78 municipios of the Commonwealth of Puerto Rico. A better understanding is needed about water-use patterns, particularly about the amount of water used, where and how this water is used and disposed, and how human activities impact water resources. Irrigation practices, indoor and outdoor household uses, industrial uses, and commercial and mining withdrawals affect reservoirs, streams, and aquifers. Accurate and accessible water information for Puerto Rico is critical to ensure that water managers have the ability to protect and conserve this natural resource. \r\n\r\nThe population of Puerto Rico increased 15 percent, from 3.4 million in 1985 to 3.9 million people 2005 and resulted in an increased demand for freshwater, mostly for the public-supply water use category. Almost 99 percent of the residents in Puerto Rico were served by public-supply water systems in 2005. One of the major challenges that water managers confront is the need to provide sufficient freshwater availability in the densely populated areas. Public-supply water is provided by the Puerto Rico Aqueducts and Sewers Authority (PRASA) and by non-PRASA systems. Non-PRASA systems refer to community-operated water systems (water systems that serve a rural or suburban housing area).\r\n\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20093080","usgsCitation":"Molina-Rivera, W.L., 2010, Source, Use, and Disposition of Freshwater in Puerto Rico, 2005: U.S. Geological Survey Fact Sheet 2009-3080, 5 p., https://doi.org/10.3133/fs20093080.","productDescription":"5 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true}],"links":[{"id":115921,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2009_3080.jpg"},{"id":14066,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2009/3080/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -67.25,17.75 ], [ -67.25,18.5 ], [ -65.25,18.5 ], [ -65.25,17.75 ], [ -67.25,17.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acce4b07f02db67e533","contributors":{"authors":[{"text":"Molina-Rivera, Wanda L. 0000-0001-5856-283X","orcid":"https://orcid.org/0000-0001-5856-283X","contributorId":54190,"corporation":false,"usgs":true,"family":"Molina-Rivera","given":"Wanda","email":"","middleInitial":"L.","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306057,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":98666,"text":"sir20105136 - 2010 - Hydrologic conditions and water quality of rainfall and storm runoff for two agricultural areas of the Oso Creek watershed, Nueces County, Texas, 2005-08","interactions":[],"lastModifiedDate":"2016-08-11T16:25:35","indexId":"sir20105136","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":"2010-5136","title":"Hydrologic conditions and water quality of rainfall and storm runoff for two agricultural areas of the Oso Creek watershed, Nueces County, Texas, 2005-08","docAbstract":"The U.S. Geological Survey, in cooperation with the Texas State Soil and Water Conservation Board, Coastal Bend Bays and Estuaries Program, and Texas AgriLife Research and Extension Center at Corpus Christi, studied hydrologic conditions and water quality of rainfall and storm runoff of two primarily agricultural subwatersheds of the Oso Creek watershed in Nueces County, Texas. One area, the upper West Oso Creek subwatershed, is about 5,145 acres. The other area, a subwatershed drained by an unnamed tributary to Oso Creek (hereinafter, Oso Creek tributary), is about 5,287 acres. Rainfall and runoff (streamflow) were continuously monitored at the outlets of the two subwatersheds during the study period October 2005-September 2008. Seventeen rainfall samples were collected and analyzed for nutrients and major inorganic ions. Twenty-four composite runoff water-quality samples (12 at West Oso Creek, 12 at Oso Creek tributary) were collected and analyzed for nutrients, major inorganic ions, and pesticides. Twenty-six discrete suspended-sediment samples (12 West Oso Creek, 14 Oso Creek tributary) and 17 bacteria samples (10 West Oso Creek, 7 Oso Creek tributary) were collected and analyzed. These data were used to estimate, for selected constituents, rainfall deposition to and runoff loads and yields from the two subwatersheds. Quantities of fertilizers and pesticides applied in the two subwatersheds were compared with quantities of nutrients and pesticides in rainfall and runoff. For the study period, total rainfall was greater than average. Most of the runoff from the two subwatersheds occurred in response to a few specific storm periods. The West Oso Creek subwatershed produced more runoff during the study period than the Oso Creek tributary subwatershed, 13.95 inches compared with 9.45 inches. Runoff response was quicker and peak flows were higher in the West Oso Creek subwatershed than in the Oso Creek tributary subwatershed. Total nitrogen runoff yield for the 3-year study period averaged 2.62 pounds per acre per year from the West Oso Creek subwatershed and 0.839 pound per acre per year from the Oso Creek tributary subwatershed. Total phosphorus yields from the West Oso Creek and Oso Creek tributary subwatersheds for the 3-year period were 0.644 and 0.419 pound per acre per year, respectively. Runoff yields of nitrogen and phosphorus were relatively small compared to inputs of nitrogen in fertilizer and rainfall deposition. Average annual runoff yield of total nitrogen (subwatersheds combined) represents about 2.5 percent of nitrogen applied as fertilizer to cropland in the watershed and nitrogen entering the subwatersheds through rainfall deposition. Average annual runoff yield of total phosphorus (subwatersheds combined) represents about 4.0 percent of the phosphorus in applied fertilizer and rainfall deposition. Suspended-sediment yields from the West Oso Creek subwatershed were more than twice those from the Oso Creek tributary subwatershed. The average suspended-sediment yield from the West Oso Creek subwatershed was 522 pounds per acre per year and from the Oso Creek tributary subwatershed was 139 pounds per acre per year. Twenty-four herbicides and eight insecticides were detected in runoff samples collected at the two subwatershed outlets. At the West Oso Creek site, 19 herbicides and 4 insecticides were detected; at the Oso Creek tributary site, 18 herbicides and 6 insecticides were detected. Fourteen pesticides were detected in only one sample at low concentrations (near the laboratory reporting level). Atrazine and atrazine degradation byproduct 2-chloro-4-isopropylamino-6-amino-s-triazine (CIAT) were detected in all samples. Glyphosate and glyphosate byproduct aminomethylphosphonic acid (AMPA) were detected in all samples collected and analyzed during water years 2006-07 but were not included in analysis for samples collected in water year 2008. Of all pesticides detected in runoff, the highest runoff yields w
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, Virginia","doi":"10.3133/sir20105136","collaboration":"In cooperation with the Texas State Soil and Water Conservation Board, \r\nCoastal Bend Bays and Estuaries Program, and \r\nTexas AgriLife Research and Extension Center at Corpus Christi","usgsCitation":"Ockerman, D.J., and Fernandez, C.J., 2010, Hydrologic conditions and water quality of rainfall and storm runoff for two agricultural areas of the Oso Creek watershed, Nueces County, Texas, 2005-08: U.S. Geological Survey Scientific Investigations Report 2010-5136, viii, 63 p. , https://doi.org/10.3133/sir20105136.","productDescription":"viii, 63 p. ","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2005-10-01","temporalEnd":"2008-09-30","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":126374,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5136.jpg"},{"id":14070,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5136/","linkFileType":{"id":5,"text":"html"}}],"projection":"Universal Transverse Mercator","country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.66666666666667,27.583333333333332 ], [ -97.66666666666667,27.833333333333332 ], [ -97.31666666666666,27.833333333333332 ], [ -97.31666666666666,27.583333333333332 ], [ -97.66666666666667,27.583333333333332 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acce4b07f02db67e934","contributors":{"authors":[{"text":"Ockerman, Darwin J. 0000-0003-1958-1688 ockerman@usgs.gov","orcid":"https://orcid.org/0000-0003-1958-1688","contributorId":1579,"corporation":false,"usgs":true,"family":"Ockerman","given":"Darwin","email":"ockerman@usgs.gov","middleInitial":"J.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fernandez, Carlos J.","contributorId":95175,"corporation":false,"usgs":true,"family":"Fernandez","given":"Carlos","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":306067,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"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":"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.
","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 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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 D.","contributorId":6166,"corporation":false,"usgs":true,"family":"Barton","given":"Mark","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":306075,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blakely, Richard J. 0000-0003-1701-5236 blakely@usgs.gov","orcid":"https://orcid.org/0000-0003-1701-5236","contributorId":1540,"corporation":false,"usgs":true,"family":"Blakely","given":"Richard","email":"blakely@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":306070,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bodnar, Robert 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":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources 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":70209635,"text":"70209635 - 2010 - Atmospheric mineral dust in dryland ecosystems: Applications of environmental magnetism","interactions":[],"lastModifiedDate":"2020-04-16T18:38:39.791583","indexId":"70209635","displayToPublicDate":"2010-09-02T13:23:18","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Atmospheric mineral dust in dryland ecosystems: Applications of environmental magnetism","docAbstract":"Magnetic properties of shallow (<10‐cm depth), fine‐grained surficial sediments contrast greatly with those of immediately underlying bedrock across much of the dry American Southwest. At 26 study sites in fine‐grained (<63 μm) surficial sediments isolated from alluvial inputs, isothermal remanent magnetization (IRM; mean of 67 samples = 6.72 × 10−3 Am2 kg−1) is more than two orders of magnitude greater than that for underlying Paleozoic and Mesozoic sedimentary rocks. This contrast is mainly caused by the presence of silt‐size, titanium‐bearing magnetite particles in the surficial deposits and their absence in bedrock. Because of their size, composition, and isolated location, the magnetite particles represent a component of atmospheric dust likely deposited over the past few centuries. The positive correlation of sediment‐IRM values with amounts of potential plant nutrients reveals the importance of atmospheric dust to soil fertility over much of the American Southwest. Subsequent disturbance of landscapes, by domestic livestock grazing as an example, commonly results in wind erosion, which then depletes exposed surfaces of original aeolian magnetite and associated fine‐grained sediment. Declines in soil fertility and water‐holding capacity in these settings can be estimated in some field settings via decreases in magnetic susceptibility, relative to nearby undisturbed areas. Along gentle hillslope gradients of the Colorado Plateau, field measures for aeolian magnetite demonstrate that the redistribution of deposited atmospheric dust influences landscape‐level patterns in the distribution of invasive exotic plant species. Our results indicate that environmental magnetism has high potential for assessing the development and degradation of dry landscapes elsewhere.
","language":"English","publisher":"American Geophysical Society","doi":"10.1029/2010GC003103","usgsCitation":"Reynolds, R.L., Goldstein, H.L., and Miller, M.E., 2010, Atmospheric mineral dust in dryland ecosystems: Applications of environmental magnetism: Geochemistry, Geophysics, Geosystems, v. 11, no. 7, Q07009, 20 p., https://doi.org/10.1029/2010GC003103.","productDescription":"Q07009, 20 p.","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":374061,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"7","noUsgsAuthors":false,"publicationDate":"2010-07-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Reynolds, Richard L. 0000-0002-4572-2942 rreynolds@usgs.gov","orcid":"https://orcid.org/0000-0002-4572-2942","contributorId":139068,"corporation":false,"usgs":true,"family":"Reynolds","given":"Richard","email":"rreynolds@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":787296,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goldstein, Harland L. 0000-0002-6092-8818 hgoldstein@usgs.gov","orcid":"https://orcid.org/0000-0002-6092-8818","contributorId":147881,"corporation":false,"usgs":true,"family":"Goldstein","given":"Harland","email":"hgoldstein@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":787297,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Mark E.","contributorId":91580,"corporation":false,"usgs":false,"family":"Miller","given":"Mark","email":"","middleInitial":"E.","affiliations":[{"id":6959,"text":"National Park Service Southeast Utah Group","active":true,"usgs":false}],"preferred":false,"id":787298,"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":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":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":"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.
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.
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.
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-SO4-dominant chemistry indicating the legacy of heap leaching copper-uranium ores with sulfuric acid. This same water has strongly negative δ34S 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 234U/238U 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 (FeS2) 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.
","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":98658,"text":"ds520 - 2010 - Geochemical data for Colorado soils: Results from the 2006 state-scale geochemical survey","interactions":[],"lastModifiedDate":"2025-05-14T19:27:59.165791","indexId":"ds520","displayToPublicDate":"2010-09-02T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"520","title":"Geochemical data for Colorado soils: Results from the 2006 state-scale geochemical survey","docAbstract":"In 2006, soil samples were collected at 960 sites (1 site per 280 square kilometers) throughout the state of Colorado. These samples were collected from a depth of 0-15 centimeters and, following a near-total multi-acid digestion, were analyzed for a suite of more than 40 major and trace elements. The resulting data set provides a baseline for the natural variation in soil geochemistry for Colorado and forms the basis for detecting changes in soil composition that might result from natural processes or anthropogenic activities. This report describes the sampling and analytical protocols used and makes available all the soil geochemical data generated in the study.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds520","usgsCitation":"Smith, D., Ellefsen, K.J., and Kilburn, J.E., 2010, Geochemical data for Colorado soils: Results from the 2006 state-scale geochemical survey: U.S. Geological Survey Data Series 520, iv, 9 p., https://doi.org/10.3133/ds520.","productDescription":"iv, 9 p.","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2006-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":14061,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/520/","linkFileType":{"id":5,"text":"html"}},{"id":391586,"rank":2,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93930.htm"},{"id":116005,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_520.jpg"}],"country":"United States","state":"Colorado","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.0444,37 ], [ -109.0444,41 ], [ -102.0419,41 ], [ -102.0419,37 ], [ -109.0444,37 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6ae50c","contributors":{"authors":[{"text":"Smith, David B. 0000-0001-8396-9105 dsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-8396-9105","contributorId":1274,"corporation":false,"usgs":true,"family":"Smith","given":"David B.","email":"dsmith@usgs.gov","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":306047,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellefsen, Karl J. 0000-0003-3075-4703 ellefsen@usgs.gov","orcid":"https://orcid.org/0000-0003-3075-4703","contributorId":789,"corporation":false,"usgs":true,"family":"Ellefsen","given":"Karl","email":"ellefsen@usgs.gov","middleInitial":"J.","affiliations":[{"id":82803,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":false}],"preferred":true,"id":306046,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kilburn, James E.","contributorId":40189,"corporation":false,"usgs":true,"family":"Kilburn","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":306048,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":98657,"text":"ds528 - 2010 - EAARL coastal topography-eastern Florida, post-Hurricane Frances, 2004: bare earth","interactions":[],"lastModifiedDate":"2012-02-10T00:11:57","indexId":"ds528","displayToPublicDate":"2010-09-02T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"528","title":"EAARL coastal topography-eastern Florida, post-Hurricane Frances, 2004: bare earth","docAbstract":"This DVD contains lidar-derived bare-earth (BE) topography GIS datasets of a portion of the eastern Florida coastline beachface, acquired post-Hurricane Frances on September 9, 2004.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds528","usgsCitation":"Yates, X., Nayegandhi, A., Bonisteel, J.M., Wright, C.W., Sallenger, A., Brock, J., Klipp, E.S., and Nagle, D.B., 2010, EAARL coastal topography-eastern Florida, post-Hurricane Frances, 2004: bare earth: U.S. Geological Survey Data Series 528, DVD-ROM; 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