{"pageNumber":"807","pageRowStart":"20150","pageSize":"25","recordCount":40764,"records":[{"id":98331,"text":"cir1347 - 2010 - Water-the Nation's Fundamental Climate Issue A White Paper on the U.S. Geological Survey Role and Capabilities","interactions":[],"lastModifiedDate":"2012-03-02T17:16:07","indexId":"cir1347","displayToPublicDate":"2010-04-17T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1347","title":"Water-the Nation's Fundamental Climate Issue A White Paper on the U.S. Geological Survey Role and Capabilities","docAbstract":"Of all the potential threats posed by climatic variability and change, those associated with water resources are arguably the most consequential for both society and the environment (Waggoner, 1990). Climatic effects on agriculture, aquatic ecosystems, energy, and industry are strongly influenced by climatic effects on water. Thus, understanding changes in the distribution, quantity and quality of, and demand for water in response to climate variability and change is essential to planning for and adapting to future climatic conditions. A central role of the U.S. Geological Survey (USGS) with respect to climate is to document environmental changes currently underway and to develop improved capabilities to predict future changes. Indeed, a centerpiece of the USGS role is a new Climate Effects Network of monitoring sites. Measuring the climatic effects on water is an essential component of such a network (along with corresponding effects on terrestrial ecosystems).\r\n\r\nThe USGS needs to be unambiguous in communicating with its customers and stakeholders, and with officials at the Department of the Interior, that although modeling future impacts of climate change is important, there is no more critical role for the USGS in climate change science than that of measuring and describing the changes that are currently underway. One of the best statements of that mission comes from a short paper by Ralph Keeling (2008) that describes the inspiration and the challenges faced by David Keeling in operating the all-important Mauna Loa Observatory over a period of more than four decades. Ralph Keeling stated: 'The only way to figure out what is happening to our planet is to measure it, and this means tracking changes decade after decade and poring over the records.'\r\n\r\nThere are three key ideas that are important to the USGS in the above-mentioned sentence. First, to understand what is happening requires measurement. While models are a tool for learning and testing our understanding, they are not a substitute for observations. The second key idea is that measurement needs to be done over a period of many decades. When viewing hydrologic records over time scales of a few years to a few decades, trends commonly appear. However, when viewed in the context of many decades to centuries, these short-term trends are recognized as being part of much longer term oscillations. Thus, while we might want to initiate monitoring of important aspects of our natural resources, the data that will prove to be most useful in the next few years are those records that already have long-term continuity. USGS streamflow and groundwater level data are excellent examples of such long-term records. These measured data span many decades, follow standard protocols for collection and quality assurance, and are stored in a database that provides access to the full period of record.\r\n\r\nThe third point from the Keeling quote relates to the notion of ?poring over the records.? Important trends will not generally jump off the computer screen at us. Thoughtful analyses are required to get past a number of important but confounding influences in the record, such as the role of seasonal variation, changes in water management, or influences of quasi-periodic phenomena, such as El Ni?o-Southern Oscillation (ENSO) or the Pacific Decadal Oscillation (PDO). No organization is better situated to pore over the records than the USGS because USGS scientists know the data, quality-assure the data, understand the factors that influence the data, and have the ancillary information on the watersheds within which the data are collected.\r\n\r\nTo fulfill the USGS role in understanding climatic variability and change, we need to continually improve and strengthen two of our key capabilities: (1) preserving continuity of long-term water data collection and (2) analyzing and interpreting water data to determine how the Nation's water resources are changing.\r\n\r\nUnderstanding change in water resources","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/cir1347","usgsCitation":"Lins, H.F., Hirsch, R.M., and Kiang, J., 2010, Water-the Nation's Fundamental Climate Issue A White Paper on the U.S. Geological Survey Role and Capabilities: U.S. Geological Survey Circular 1347, iv, 9 p., https://doi.org/10.3133/cir1347.","productDescription":"iv, 9 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":125362,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir_1347.jpg"},{"id":13580,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1347/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e2e4b07f02db5e4bcb","contributors":{"authors":[{"text":"Lins, Harry F. 0000-0001-5385-9247 hlins@usgs.gov","orcid":"https://orcid.org/0000-0001-5385-9247","contributorId":1505,"corporation":false,"usgs":true,"family":"Lins","given":"Harry","email":"hlins@usgs.gov","middleInitial":"F.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":305014,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":305015,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kiang, Julie","contributorId":45804,"corporation":false,"usgs":true,"family":"Kiang","given":"Julie","affiliations":[],"preferred":false,"id":305016,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70208556,"text":"70208556 - 2010 - Advances in estimation methods of vegetation water content based on optical remote sensing techniques","interactions":[],"lastModifiedDate":"2020-02-20T10:04:56","indexId":"70208556","displayToPublicDate":"2010-04-15T15:28:03","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5930,"text":"Science China Technological Sciences","printIssn":"1674-7321","active":true,"publicationSubtype":{"id":10}},"title":"Advances in estimation methods of vegetation water content based on optical remote sensing techniques","docAbstract":"<p><span>Quantitative estimation of vegetation water content (VWC) using optical remote sensing techniques is helpful in forest fire assessment, agricultural drought monitoring and crop yield estimation. This paper reviews the research advances of VWC retrieval using spectral reflectance, spectral water index and radiative transfer model (RTM) methods. It also evaluates the reliability of VWC estimation using spectral water index from the observation data and the RTM. Focusing on two main definitions of VWC—the fuel moisture content (FMC) and the equivalent water thickness (EWT), the retrieval accuracies of FMC and EWT using vegetation water indices are analyzed. Moreover, the measured information and the dataset are used to estimate VWC, the results show there are significant correlations among three kinds of vegetation water indices (i.e., WSI, NDII, NDWI</span><sub>1640</sub><span>, WI/NDVI) and canopy FMC of winter wheat (</span><i class=\"EmphasisTypeItalic \">n</i><span>=45). Finally, the future development directions of VWC detection based on optical remote sensing techniques are also summarized.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11431-010-0131-3","usgsCitation":"Zhang, J., Xu, Y., Yao, F., Wang, P., Guo, W., Li, L., and Yang, L., 2010, Advances in estimation methods of vegetation water content based on optical remote sensing techniques: Science China Technological Sciences, v. 53, no. 5, p. 1159-1167, https://doi.org/10.1007/s11431-010-0131-3.","productDescription":"9 p.","startPage":"1159","endPage":"1167","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":372369,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"5","noUsgsAuthors":false,"publicationDate":"2010-04-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Zhang, Jiahua","contributorId":35479,"corporation":false,"usgs":true,"family":"Zhang","given":"Jiahua","email":"","affiliations":[],"preferred":false,"id":782458,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xu, Yun","contributorId":222535,"corporation":false,"usgs":false,"family":"Xu","given":"Yun","email":"","affiliations":[],"preferred":false,"id":782459,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yao, Fengmei","contributorId":107927,"corporation":false,"usgs":true,"family":"Yao","given":"Fengmei","email":"","affiliations":[],"preferred":false,"id":782460,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wang, PeiJuan","contributorId":222536,"corporation":false,"usgs":false,"family":"Wang","given":"PeiJuan","email":"","affiliations":[],"preferred":false,"id":782461,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Guo, WenJuan","contributorId":222537,"corporation":false,"usgs":false,"family":"Guo","given":"WenJuan","email":"","affiliations":[],"preferred":false,"id":782462,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Li, Li","contributorId":222539,"corporation":false,"usgs":false,"family":"Li","given":"Li","email":"","affiliations":[],"preferred":true,"id":782468,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Yang, Limin 0000-0002-2843-6944 lyang@usgs.gov","orcid":"https://orcid.org/0000-0002-2843-6944","contributorId":4305,"corporation":false,"usgs":true,"family":"Yang","given":"Limin","email":"lyang@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":782469,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":98329,"text":"fs20103001 - 2010 - Groundwater Quality in the Central Eastside San Joaquin Valley, California","interactions":[],"lastModifiedDate":"2012-03-08T17:16:30","indexId":"fs20103001","displayToPublicDate":"2010-04-15T00:00:00","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":"2010-3001","title":"Groundwater Quality in the Central Eastside San Joaquin Valley, California","docAbstract":"The Central Eastside study unit is located in California's San Joaquin Valley. The 1,695 square mile study unit includes three groundwater subbasins: Modesto, Turlock, and Merced (California Department of Water Resources, 2003). The primary water-bearing units consist of discontinuous lenses of gravel, sand, silt, and clay, which are derived largely from the Sierra Nevada Mountains to the east. Public-supply wells provide most of the drinking water supply in the Central Eastside. Consequently, the primary aquifer in the Central Eastside study unit is defined as that part of the aquifer corresponding to the perforated interval of wells listed in the California Department of Public Health database. Public-supply wells are typically drilled to depths of 200 to 350 feet, consist of solid casing from the land surface to a depth of about 100 to 200 feet, and they are perforated below the solid casing. Water quality in the shallower and deeper parts of the aquifer system may differ from that in the primary aquifer.\r\n\r\nThe Central Eastside study unit has hot and dry summers and cool, moist, winters. Average annual rainfall ranges from 11 to 15 inches. The Stanislaus, Tuolumne, and Merced Rivers, with headwaters in the Sierra Nevada Mountains, are the primary streams traversing the study unit.\r\n\r\nLand use in the study unit is approximately 59 percent (%) agricultural, 34% natural (primarily grassland), and 7% urban. The primary crops are almonds, walnuts, peaches, grapes, grain, corn, and alfalfa. The largest urban areas (2003 population in parentheses) are the cities of Modesto (206,872), Turlock (63,467), and Merced (69,512).\r\n\r\nMunicipal water use accounts for about 5% of the total water use in the Central Eastside study unit, with the remainder used for irrigated agriculture. Groundwater accounts for about 75% of the municipal supply, and surface water accounts for about 25%. Recharge to the groundwater flow system is primarily from percolation of irrigation return, precipitation, seepage from reservoirs and rivers, and urban return (Burow and others, 2004; Phillips and others, 2007). The primary sources of discharge are pumping for irrigation and municipal supply, evaporation from areas with a shallow depth to water, and discharge to streams. Recharge at shallow depths and pumping from wells at greater depths causes downward movement of groundwater in the aquifer in the Central Eastside. This vertical movement of water has the potential to carry chemical constituents from shallow depths to the greater depths where supply wells commonly are perforated.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20103001","collaboration":"U.S. Geological Survey and the California State Water Resources Control Board","usgsCitation":"Belitz, K., and Landon, M.K., 2010, Groundwater Quality in the Central Eastside San Joaquin Valley, California: U.S. Geological Survey Fact Sheet 2010-3001, 4 p., https://doi.org/10.3133/fs20103001.","productDescription":"4 p.","onlineOnly":"N","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":118624,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010-3001.jpg"},{"id":13578,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3001/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acce4b07f02db67e991","contributors":{"authors":[{"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":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":305009,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":305008,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98327,"text":"sir20095266 - 2010 - Status and understanding of groundwater quality in the central-eastside San Joaquin Basin, 2006: California GAMA Priority Basin Project","interactions":[],"lastModifiedDate":"2024-10-30T20:14:13.008933","indexId":"sir20095266","displayToPublicDate":"2010-04-14T00:00:00","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":"2009-5266","title":"Status and understanding of groundwater quality in the central-eastside San Joaquin Basin, 2006: California GAMA Priority Basin Project","docAbstract":"<p>Groundwater quality in the approximately 1,695-square-mile Central Eastside San Joaquin Basin (Central Eastside) study unit was investigated as part of the Priority Basin Project (PBP) of the Groundwater Ambient Monitoring and Assessment (GAMA) Program. The GAMA PBP was developed in response to the California Groundwater Quality Monitoring Act of 2001, and is being conducted by the California State Water Resources Control Board in collaboration with the U.S. Geological Survey and the Lawrence Livermore National Laboratory. The GAMA Central Eastside study unit was designed to provide a spatially unbiased assessment of untreated-groundwater quality, as well as a statistically consistent basis for comparing water quality throughout California. During March through June 2006, samples were collected from 78 wells in Stanislaus and Merced Counties, 58 of which were selected using a spatially distributed, randomized grid-based method to provide statistical representation of the study unit (grid wells), and 20 of which were sampled to evaluate changes in water chemistry along groundwater-flow paths (understanding wells). Water-quality data from the California Department of Public Health (CDPH) database also were used for the assessment.</p><p>An assessment of the current status of the groundwater quality included collecting samples from wells for analysis of anthropogenic constituents such as volatile organic compounds (VOCs) and pesticides, as well as naturally occurring constituents such as major ions and trace elements. The assessment of status is intended to characterize the quality of untreated-groundwater resources within the primary aquifer system, not the treated drinking water delivered to consumers by water purveyors. The primary aquifer system (hereinafter, primary aquifer) is defined as that part of the aquifer corresponding to the perforation interval of wells listed in the CDPH database for the Central Eastside study unit. The quality of groundwater in shallower or deeper water-bearing zones may differ from that in the primary aquifer; shallower groundwater may be more vulnerable to surficial contamination. The primary aquifer is represented by the grid wells, of which 90 percent had depths to the tops of their perforations of about 80 to 330 feet and depths to bottom of about 100 to 670 feet. Relative-concentrations (sample concentration divided by benchmark concentration) were used as the primary metric for assessing the status of water quality for those constituents that have Federal and (or) California human health or aesthetic benchmarks. A relative-concentration greater than (&gt;) 1.0 indicates a concentration above a benchmark, and less than or equal to (≤) 1.0 indicates a concentration equal to or below a benchmark. For organic and special interest constituents, relative-concentrations were classified as high (&gt;1.0), moderate (≤1.0 and &gt;0.1), or low (≤0.1). For inorganic constituents, relative-concentrations were classified as high (&gt;1.0), moderate (≤1.0 and &gt;0.5), or low (≤0.5). The threshold between low and moderate classifications was lower for organic and special interest constituents than for inorganic constituents because organic constituents generally are less prevalent and have smaller relative-concentrations than inorganic constituents.</p><p>Grid-based and spatially-weighted approaches, the latter incorporating data from all CDPH wells, were used to evaluate the proportion of the primary aquifer (aquifer-scale proportions) with high, moderate, or low relative-concentrations. For individual constituents or classes of constituents, the aquifer-scale high proportion is the percentage of the area of the study unit having high relative-concentrations within the depth-zones of the primary aquifer. Aquifer-scale moderate and low proportions are defined similarly. Spatially-weighted aquifer-scale high proportions nearly always fell within the 90-percent confidence interval of grid-based aquifer-scale high proportions, indicating that the grid-based approach yielded statistically equivalent results to the spatially-weighted approach incorporating CDPH data.</p><p>The status assessment for inorganic constituents showed that inorganic constituents (one or more) were high, relative to human-health benchmarks, in 18.0 percent of the primary aquifer, moderate in 44.0 percent, and low in 38.0 percent. Of inorganic constituents with human-health benchmarks, arsenic, vanadium, and nitrate were detected at high relative-concentrations in 15.6 percent, 3.6 percent, and 2.1 percent, respectively, of the primary aquifer. Of inorganic constituents with secondary maximum contaminant levels (SMCL), manganese, iron, and TDS were detected at high relative-concentrations in 4.5 percent, 2.2 percent, and 1.7 percent, respectively, of the primary aquifer.</p><p>The status assessment for organic constituents showed that organic constituents (one or more) were high, relative to human-health benchmarks, in a smaller proportion of the primary aquifer (1.2 percent) than inorganic constituents (18.0 percent). Organic constituents had moderate relative-concentrations in 14.3 percent, and had low relative-concentrations or were not detected in 84.5 percent, of the primary aquifer. The proportion of the primary aquifer with high relative-concentrations of organic constituents reflected high proportions of the discontinued soil fumigant 1,2-dibromo-3-chlororopane (DBCP; 1.0 percent) and the solvent tetrachloroethene (PCE; 0.2 percent). Most of the organic and special interest constituents detected in groundwater in the Central Eastside study unit have human-health benchmarks. Of the 205 organic and special interest constituents analyzed for, 36 constituents were detected. Of these constituents, 32 were detected only at low relative-concentrations. Four constituents, chloroform, carbon tetrachloride, DBCP, and perchlorate, were detected at moderate relative-concentrations in grid wells. Nine organic and special-interest constituents were detected frequently (detected in greater than 10 percent of samples): the trihalomethanes chloroform, bromoform, bromodichloromethane, and dibromochloromethane; the solvent PCE; the herbicides atrazine, simazine, and metolachlor, and special-interest constituent perchlorate.</p><p>An assessment of understanding of the groundwater quality included sampling of understanding wells, some of which were perforated in shallower or deeper portions of the aquifer system than the primary aquifer, and analysis of correlations of groundwater quality with land use, depth, age classification, and other potential explanatory factors.</p><p>The understanding assessment indicated that the concentrations of many constituents were related to depth and groundwater age. However, concentrations of individual constituents or constituent classes also were sometimes related to geochemical conditions, lateral position in the flow system, or land use.</p><p>High and moderate relative-concentrations of uranium, nitrate, and total dissolved solids (TDS) were detected in some wells where the tops of perforations are within the upper 200 feet of the aquifer system. In wells with the depth to the top of perforations below this depth, concentrations were low. A similar pattern occurred for the sum of herbicide concentrations. These vertical water-chemistry patterns are consistent with the hydrogeologic setting, in which return flows from agricultural and urban land use are the major source of recharge, and withdrawals for irrigation and urban supply are the major source of discharge, resulting in substantial vertical components of groundwater flow.</p><p>The decrease in concentrations of many constituents with depth reflects in part that groundwater gets older with depth. Tritium, helium-isotopes, 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, up to tens of thousands of years, ago), and mixed (mixtures of waters with modern and pre-modern ages). Uranium, nitrate, and herbicide concentrations were significantly higher in groundwater having modern- and mixed-ages than pre-modern ages, indicating that these constituents may be affected by anthropogenic activities in the last 50 years.</p><p>Other patterns in the distribution of nitrate, uranium, and TDS are evident. Isotopic and geochemical data are consistent with partial denitrification of nitrate in some reducing groundwaters in the western and deeper parts of the flow system. Uranium and TDS concentrations increase from east to west across the valley, along the direction of regional lateral groundwater flow.</p><p>High and moderate relative-concentrations of arsenic can be attributed to reductive dissolution of manganese or iron oxides, or to desorption by high pH waters. Arsenic concentrations also increased with increasing depth and groundwater age. High to moderate relative-concentrations of vanadium primarily are related to high pH under oxic conditions.</p><p>The frequency of detections of DBCP was greater in areas with orchard-vineyard land use &gt;40 percent and at depths &lt;200 feet. THMs and solvents were correlated positively with percent urban land use. Herbicide concentrations were correlated negatively with percent natural land use. Perchlorate concentrations were significantly greater in waters having modern and mixed ages than waters having pre-modern ages and were significantly and positively correlated with two land uses—percent orchard/vineyard land use and percent urban land use.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20095266","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Landon, M.K., Belitz, K., Jurgens, B., Kulongoski, J., and Johnson, T., 2010, Status and understanding of groundwater quality in the central-eastside San Joaquin Basin, 2006: California GAMA Priority Basin Project: U.S. Geological Survey Scientific Investigations Report 2009-5266, xii, 97 p., https://doi.org/10.3133/sir20095266.","productDescription":"xii, 97 p.","numberOfPages":"113","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":13576,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5266/","linkFileType":{"id":5,"text":"html"}},{"id":463447,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_92511.htm","linkFileType":{"id":5,"text":"html"}},{"id":125892,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/sir_2009_5266.jpg"},{"id":339724,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2009/5266/pdf/sir20095266.pdf","linkFileType":{"id":1,"text":"pdf"}}],"projection":"Albers Equal Area Conic","country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.41666666666667,37 ], [ -121.41666666666667,38 ], [ -119,38 ], [ -119,37 ], [ -121.41666666666667,37 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49dbe4b07f02db5e0eb8","contributors":{"authors":[{"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":305001,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":305002,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jurgens, Bryant C. 0000-0002-1572-113X","orcid":"https://orcid.org/0000-0002-1572-113X","contributorId":22454,"corporation":false,"usgs":true,"family":"Jurgens","given":"Bryant C.","affiliations":[],"preferred":false,"id":305003,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kulongoski, Justin T. 0000-0002-3498-4154","orcid":"https://orcid.org/0000-0002-3498-4154","contributorId":59909,"corporation":false,"usgs":true,"family":"Kulongoski","given":"Justin T.","affiliations":[],"preferred":false,"id":305004,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Tyler D. 0000-0002-7334-9188","orcid":"https://orcid.org/0000-0002-7334-9188","contributorId":64366,"corporation":false,"usgs":true,"family":"Johnson","given":"Tyler D.","affiliations":[],"preferred":false,"id":305005,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":98322,"text":"sir20095259 - 2010 - Analysis of the Shallow Groundwater Flow System at Fire Island National Seashore, Suffolk County, New York","interactions":[],"lastModifiedDate":"2012-03-08T17:16:29","indexId":"sir20095259","displayToPublicDate":"2010-04-14T00:00:00","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":"2009-5259","title":"Analysis of the Shallow Groundwater Flow System at Fire Island National Seashore, Suffolk County, New York","docAbstract":"Fire Island National Seashore (FIIS) occupies 42 kilometers of the barrier island for which it is named that lies off the southern shore of Suffolk County, N.Y. Freshwater in the highly permeable, sandy aquifer underlying Fire Island is bounded laterally by marine surface waters and at depth by saline groundwater. Interspersed throughout FIIS are 17 pre-existing residential communities that in summer months greatly increase in population through the arrival of summer residents and vacationers; in addition, the National Park Service (NPS) has established several facilities on the island to accommodate visitors to FIIS. The 2.2 million people estimated by the NPS to visit Fire Island annually impact groundwater quality through the release of waste-derived contaminants, such as nutrients, pathogens, and organic compounds, into the environment. Waste-contaminated groundwater can move through the aquifer and threaten the ecological health of the adjacent back-barrier estuaries to which much of the groundwater ultimately discharges. In 2004, the U.S. Geological Survey (USGS), in cooperation with the NPS, began a 3-year investigation to (1) collect groundwater levels and water-quality (nutrient) samples, (2) develop a three-dimensional model of the shallow (water-table) aquifer system and adjacent marine surface waters, and (3) calculate nitrogen loads in simulated groundwater discharges from the aquifer to back-barrier estuaries and the ocean.\r\n\r\nThe hydrogeology of the shallow aquifer system was characterized from the results of exploratory drilling, geophysical surveying, water-level monitoring, and water-quality sampling. The investigation focused on four areas-the communities of Kismet and Robbins Rest, the NPS Visitor Center at Watch Hill, and the undeveloped Otis Pike Fire Island High Dune Wilderness. Thirty-five observation wells were installed within FIIS to characterize subsurface hydrogeology and establish a water-table monitoring network in the four study areas. A variable-density model of the shallow aquifer system and adjacent marine surface waters was developed to simulate groundwater flow patterns and rates. Nitrogen loads from the shallow aquifer system were calculated from representative total nitrogen (TN) concentrations and simulated groundwater discharges to back-barrier estuaries and the ocean.\r\n\r\nThe model simulates groundwater directions, velocities, and discharge rates under 2005 mean annual conditions. Groundwater budgets were developed for recharge areas of similar land use that contribute freshwater to back-barrier estuaries, the ocean, and subsea-discharge zones. Total freshwater discharge from the shallow aquifer system is about 43,500 cubic meters per day (m3/d) (79.8 percent) to back-barrier estuaries and about 10,200 m3/d (18.7 percent) to the ocean; about 836 m3/d (1.5 percent) may exit the system as subsea underflow. The total contribution of fresh groundwater to shoreline discharge zones amounts to about 53,700 m3/d (98.5 percent). The median age of freshwater discharged to back-barrier estuaries and the ocean was 3.4 years, and the 95th-percentile age was 20 years.\r\n\r\nThe TN concentrations and loads under 2005 mean annual conditions for areas that contribute fresh groundwater to back-barrier estuaries and the ocean were calculated for the principal land uses on Fire Island. The overall TN load from the shallow aquifer system to shoreline discharge zones is about 16,200 kilograms per year (kg/yr) (82.2 percent) to back-barrier estuaries and about 3,500 kg/yr (17.8 percent) to the ocean. The overall TN load to marine surface waters amounts to about 19,700 kg/yr-roughly 6 percent of the annual TN load from shallow groundwater entering the South Shore Estuary Reserve (SSER) from the Suffolk County mainland, which is about 345,000 kg/yr. In contrast to the TN load from shallow groundwater for the SSER watershed, which annually yields about 353 kilograms per square kilometer (kg/km2), the overall TN loa","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095259","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Schubert, C., 2010, Analysis of the Shallow Groundwater Flow System at Fire Island National Seashore, Suffolk County, New York: U.S. Geological Survey Scientific Investigations Report 2009-5259, x, 107 p. , https://doi.org/10.3133/sir20095259.","productDescription":"x, 107 p. ","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":125891,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5259.jpg"},{"id":13571,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5259/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acfe4b07f02db68004f","contributors":{"authors":[{"text":"Schubert, Christopher 0000-0003-0705-3933 schubert@usgs.gov","orcid":"https://orcid.org/0000-0003-0705-3933","contributorId":1243,"corporation":false,"usgs":true,"family":"Schubert","given":"Christopher","email":"schubert@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":304992,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":98318,"text":"ofr20101062 - 2010 - The transition of benthic nutrient sources after planned levee breaches adjacent to upper Klamath and Agency Lakes, Oregon","interactions":[],"lastModifiedDate":"2019-08-09T11:37:36","indexId":"ofr20101062","displayToPublicDate":"2010-04-10T00:00:00","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":"2010-1062","title":"The transition of benthic nutrient sources after planned levee breaches adjacent to upper Klamath and Agency Lakes, Oregon","docAbstract":"Four sampling trips were coordinated after planned levee breaches that hydrologically reconnected both Upper Klamath Lake and Agency Lake, Oregon, to adjacent wetlands. Sets of nonmetallic pore-water profilers were deployed during these trips in November 2007, June 2008, May 2009, and July 2009. Deployments temporally spanned the annual cyanophyte bloom of Aphanizomenon flos-aquae (AFA) and spatially involved three lake and four wetland sites. Profilers, typically deployed in triplicate at each lake or wetland site, provided high-resolution (centimeter-scale) estimates of the vertical concentration gradients for diffusive-flux determinations. Estimates based on molecular diffusion may underestimate benthic flux because solute transport across the sediment-water interface can be enhanced by processes including bioturbation, bioirrigation and groundwater advection. Water-column and benthic samples were also collected to help interpret spatial and temporal trends in diffusive-flux estimates. Data from these samples complement taxonomic and geochemical analyses of bottom-sediments taken from Upper Klamath Lake (UKL) in prior studies. \r\n\r\nThis ongoing study provides information necessary for developing process-interdependent solute-transport models for the watershed (that is, models integrating physical, geochemical, and biological processes) and supports efforts to evaluate remediation or load-allocation strategies. To augment studies funded by the U.S. Bureau of Reclamation (USBR), the Department of the Interior supported an additional full deployment of pore-water profilers in November 2007 and July 2009, immediately following the levee breaches and after the crash of the annual summer AFA bloom. \r\n\r\nAs observed consistently since 2006, benthic flux of 0.2-micron filtered, soluble reactive phosphorus (that is, biologically available phosphorus, primarily as orthophosphate; SRP) was consistently positive (that is, out of the sediment into the overlying water column) and ranged from a negligible value (-0.19?0.91 milligrams per square meter per day; mg m-2 d-1) within wetlands of the Upper Klamath National Wildlife Refuge to 74?48 mg m-2 d-1 at the newly restored wetland site removed from the levee breach (TNC1); both observed in May 2009 before the annual AFA bloom. When areally averaged (13 km2 for the newly restored wetlands), an SRP flux to the overlying water column is determined of approximately 87,000 kilograms (kg) over the 3-month AFA bloom season that exceeds the magnitude of riverine inputs (42,000 kg for the season). Elevated SRP benthic flux at TNC1 relative to all other lake and wetland sites (including TNC2 near the breached levee) in 2009 suggests that the restored wetlands, at least chemically, remain in a transition period after engineered blasts on October 30, 2007, restored hydrologic connectivity between lake and wetland environments. As reported in previous lake studies, ammonium fluxes to the water column were consistently positive, with the exception of two measurements at the restored wetland sites (TNC1 and TNC2) immediately following the levee breaches in November 2007. The flux of ammonia, particularly at elevated pH in the overlying water column, has toxicological implications for endangered fish populations in both lake and wetland environments. For dissolved nitrate, with the exception of a single positive flux measurement at TNC1 in June 2008 (0.16?0.02 mg m-2 d-1), consistently negative (consumed by the sediment) or undetectable nitrate-flux values were observed (-21?12 mg m-2 d-1 to undetectable fluxes due to concentrations for dissolved nitrate <0.03 milligrams per liter (mg L-1) in both porewaters and overlying waters near the sediment-water interface). Such negative fluxes for dissolved nitrate are typical of microbial transformations, such as dinitrification (dissimilatory nitrate reduction), that benthically consume nitrate from the water column. The diffusive-flux measurements reported herei","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101062","collaboration":"Prepared in cooperation with the U.S. Bureau of Reclamation\r\n","usgsCitation":"Kuwabara, J.S., Topping, B.R., Carter, J.L., Parchaso, F., Cameron, J.M., Asbill, J.R., Fend, S.V., Duff, J.H., and Engelstad, A., 2010, The transition of benthic nutrient sources after planned levee breaches adjacent to upper Klamath and Agency Lakes, Oregon: U.S. Geological Survey Open-File Report 2010-1062, iv, 18 p., https://doi.org/10.3133/ofr20101062.","productDescription":"iv, 18 p.","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":340,"text":"Hydrologic Research and Development Program","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":118619,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1062.jpg"},{"id":13568,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1062/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.2,42.2 ], [ -122.2,42.7 ], [ -121.585,42.7 ], [ -121.585,42.2 ], [ -122.2,42.2 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abce4b07f02db67366a","contributors":{"authors":[{"text":"Kuwabara, James S. 0000-0003-2502-1601 kuwabara@usgs.gov","orcid":"https://orcid.org/0000-0003-2502-1601","contributorId":3374,"corporation":false,"usgs":true,"family":"Kuwabara","given":"James","email":"kuwabara@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":304981,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Topping, Brent R. 0000-0002-7887-4221 btopping@usgs.gov","orcid":"https://orcid.org/0000-0002-7887-4221","contributorId":1484,"corporation":false,"usgs":true,"family":"Topping","given":"Brent","email":"btopping@usgs.gov","middleInitial":"R.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":304978,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carter, James L. 0000-0002-0104-9776 jlcarter@usgs.gov","orcid":"https://orcid.org/0000-0002-0104-9776","contributorId":3278,"corporation":false,"usgs":true,"family":"Carter","given":"James","email":"jlcarter@usgs.gov","middleInitial":"L.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":304980,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parchaso, Francis 0000-0002-9471-7787 parchaso@usgs.gov","orcid":"https://orcid.org/0000-0002-9471-7787","contributorId":173016,"corporation":false,"usgs":true,"family":"Parchaso","given":"Francis","email":"parchaso@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":768130,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cameron, Jason M.","contributorId":71289,"corporation":false,"usgs":true,"family":"Cameron","given":"Jason","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":304985,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Asbill, Jessica R.","contributorId":39896,"corporation":false,"usgs":true,"family":"Asbill","given":"Jessica","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":304984,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fend, Steven V. 0000-0002-4638-6602 svfend@usgs.gov","orcid":"https://orcid.org/0000-0002-4638-6602","contributorId":3591,"corporation":false,"usgs":true,"family":"Fend","given":"Steven","email":"svfend@usgs.gov","middleInitial":"V.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":304982,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Duff, John H. jhduff@usgs.gov","contributorId":961,"corporation":false,"usgs":true,"family":"Duff","given":"John","email":"jhduff@usgs.gov","middleInitial":"H.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304977,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Engelstad, Anita C. 0000-0002-0211-4189","orcid":"https://orcid.org/0000-0002-0211-4189","contributorId":24884,"corporation":false,"usgs":true,"family":"Engelstad","given":"Anita C.","affiliations":[],"preferred":true,"id":304983,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":98316,"text":"sir20105002 - 2010 - Estimated Withdrawals and Use of Water in Colorado, 2005","interactions":[],"lastModifiedDate":"2012-02-10T00:11:52","indexId":"sir20105002","displayToPublicDate":"2010-04-10T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5002","title":"Estimated Withdrawals and Use of Water in Colorado, 2005","docAbstract":"The future health and economic welfare of the people and environment of Colorado depend on a continuous supply of fresh water. Detailed, comprehensive information on the use of water from Colorado's diverse surface-water and groundwater resources is important to water managers and planners by providing information they need to quantify current stresses and estimate and plan for future water needs. As part of the U.S. Geological Survey's (USGS) National Water Use Information Program (NWUIP), Statewide water withdrawal and water-use data have been collected or estimated and summarized in this report by county and by four-digit hydrologic unit code for the following seven water-use categories: irrigation (crop and golf course), public supply, self-supplied domestic, self-supplied industrial, livestock, mining, and thermoelectric power generation. A summary for instream water use for hydroelectric power generation also is included. This report is published in cooperation with the Colorado Water Conservation Board.\r\n\r\nIn 2005, an estimated 13,581.22 million gallons per day (Mgal/d) was withdrawn from groundwater and surface-water sources in Colorado for the seven water-use categories. Withdrawals from surface water represented about 11,035 Mgal/d, or 81.3 percent of the total, whereas withdrawals from groundwater sources represented an estimated 2,546 Mgal/d or 18.7 percent of the total. Irrigation (combined crop and golf course) totaled 12,362.49 Mgal/d or 91 percent of the total water withdrawals in the State of Colorado. Crop irrigation accounted for 99.7 percent (12,321.85 Mgal/d) of the irrigation, whereas the 243 turf golf courses in Colorado accounted for 0.3 percent (40.64 Mgal/d) of the total irrigation water withdrawals. Total withdrawals for the other water-use categories were public supply, 864.17 Mgal/d; self-supplied domestic, 34.43 Mgal/d; self-supplied industrial, 142.44 Mgal/d; livestock, 33.06 Mgal/d; mining, 21.42 Mgal/d (includes both fresh and saline water); and thermoelectric, 123.21 Mgal/d. The counties with the largest total withdrawals (greater than 500 Mgal/d) were Mesa, Weld, Rio Grande, Montrose, Gunnison, and Saguache. Counties with the smallest total withdrawals (less than 5 Mgal/d) were Clear Creek, Gilpin, and San Juan. Four-digit hydrologic unit codes with the greatest withdrawals were 1019 (South Platte River Basin), 1301 (Rio Grande Basin), and 1102 (Arkansas River Basin); the high withdrawal rates were driven by crop irrigation withdrawals. Total instream water use for hydroelectric power generation was 5,253.60 Mgal/d.\r\n\r\nGroundwater withdrawals were estimated for 2004 for the bedrock and overlying alluvial aquifers in the Denver Basin for irrigation, public supply, commercial/industrial, household use only, and domestic/livestock water-use categories. Withdrawals were estimated for input into the USGS Denver Basin model by using the equations in the Senate Bill 96-074 groundwater model. The greatest withdrawals were for public supply. The smallest withdrawals were for household-use-only wells. Douglas County had the greatest groundwater withdrawals (183.98 Mgal/d), whereas Broomfield County had the smallest (3.09 Mgal/d). Of the seven Denver Basin aquifers, the Lower Arapahoe aquifer had the greatest total estimated withdrawals (287.11 Mgal/d), with Douglas County having the greatest public-supply withdrawal of any county (95.29 Mgal/d) from this aquifer. The Upper Dawson aquifer was the least used of the Denver Basin aquifers, based on estimated withdrawals of 17.64 Mgal/d.\r\n\r\nAs part of the Colorado Statewide Water Supply Initiative (SWSI), forecasts of future water demand were made based on information such as population, climate, and then-current (2000) water-use information and did not include the effects of future water conservation. Categories compared between estimates in the SWSI baseline forecasted water demand and the USGS water-use compilation were limited to county population and w","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105002","collaboration":"Prepared in cooperation with the Colorado Water Conservation Board","usgsCitation":"Ivahnenko, T., and Flynn, J.L., 2010, Estimated Withdrawals and Use of Water in Colorado, 2005: U.S. Geological Survey Scientific Investigations Report 2010-5002, v, 61 p., https://doi.org/10.3133/sir20105002.","productDescription":"v, 61 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":118617,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5002.jpg"},{"id":13566,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5002/","linkFileType":{"id":5,"text":"html"}}],"projection":"Universal Transverse Mercator","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109,37 ], [ -109,41 ], [ -102,41 ], [ -102,37 ], [ -109,37 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a81e4b07f02db64a269","contributors":{"authors":[{"text":"Ivahnenko, Tamara 0000-0002-1124-7688 ivahnenk@usgs.gov","orcid":"https://orcid.org/0000-0002-1124-7688","contributorId":93524,"corporation":false,"usgs":true,"family":"Ivahnenko","given":"Tamara","email":"ivahnenk@usgs.gov","affiliations":[],"preferred":false,"id":304975,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flynn, Jennifer L.","contributorId":66298,"corporation":false,"usgs":true,"family":"Flynn","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":304974,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98307,"text":"ofr20101013 - 2010 - Geophysical investigations at Hidden Dam, Raymond, California: Summary of fieldwork and data analysis","interactions":[],"lastModifiedDate":"2022-07-08T18:14:32.956745","indexId":"ofr20101013","displayToPublicDate":"2010-04-06T00:00:00","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":"2010-1013","displayTitle":"Geophysical Investigations at Hidden Dam, Raymond, California: Summary of Fieldwork and Data Analysis","title":"Geophysical investigations at Hidden Dam, Raymond, California: Summary of fieldwork and data analysis","docAbstract":"Geophysical field investigations have been carried out at the Hidden Dam in Raymond, California for the purpose of better understanding the hydrogeology and seepage-related conditions at the site. Known seepage areas on the northwest right abutment area of the downstream side of the dam are documented by Cedergren. Subsequent to the 1980 seepage study, a drainage blanket with a subdrain system was installed to mitigate downstream seepage. Flow net analysis provided by Cedergren suggests that the primary seepage mechanism involves flow through the dam foundation due to normal reservoir pool elevations, which results in upflow that intersects the ground surface in several areas on the downstream side of the dam. In addition to the reservoir pool elevations and downstream surface topography, flow is also controlled by the existing foundation geology as well as the presence or absence of a horizontal drain within the downstream portion of the dam. \r\n\r\nThe purpose of the current geophysical work is to (1) identify present-day seepage areas that may not be evident due to the effectiveness of the drainage blanket in redirecting seepage water, and (2) provide information about subsurface geologic structures that may control subsurface flow and seepage. These tasks are accomplished through the use of two complementary electrical geophysical methods, self-potentials (SP) and direct-current (DC) electrical resistivity, which have been commonly utilized in dam-seepage studies. SP is a passive method that is primarily sensitive to active subsurface groundwater flow and seepage, whereas DC resistivity is an active-source method that is sensitive to changes in subsurface lithology and groundwater saturation.\r\n\r\nThe focus of this field campaign was on the downstream area on the right abutment, or northwest side of the dam, as this is the main area of interest regarding seepage. Two exploratory self-potential lines were also collected on the downstream left abutment of the dam to identify potential seepage in that area. This report is primarily a summary of the field geophysical data acquisition, with some preliminary results and interpretation. Further work will involve a more rigorous analysis of the geophysical datasets and an examination of a large dataset of historical observations of water levels in a number of observation wells and piezometers compared with reservoir elevation. In addition, a partially saturated flow model will be developed to better understand seepage patterns given the available information about dam construction, geophysical results, and data from installed observation wells and piezometers.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101013","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Minsley, B.J., Burton, B., Ikard, S., and Powers, M.H., 2010, Geophysical investigations at Hidden Dam, Raymond, California: Summary of fieldwork and data analysis: U.S. Geological Survey Open-File Report 2010-1013, viii, 25 p., https://doi.org/10.3133/ofr20101013.","productDescription":"viii, 25 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":125847,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1013.jpg"},{"id":403281,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_92494.htm","linkFileType":{"id":5,"text":"html"}},{"id":13559,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1013/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","county":"Madera County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.8997,\n              37.1061\n            ],\n            [\n              -119.8764,\n              37.1061\n            ],\n            [\n              -119.8764,\n              37.1225\n            ],\n            [\n              -119.8997,\n              37.1225\n            ],\n            [\n              -119.8997,\n              37.1061\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1be4b07f02db6a8bf7","contributors":{"authors":[{"text":"Minsley, Burke J. 0000-0003-1689-1306 bminsley@usgs.gov","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":697,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"bminsley@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":304960,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burton, Bethany L. 0000-0001-5011-7862 blburton@usgs.gov","orcid":"https://orcid.org/0000-0001-5011-7862","contributorId":1341,"corporation":false,"usgs":true,"family":"Burton","given":"Bethany L.","email":"blburton@usgs.gov","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":304962,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ikard, Scott","contributorId":14779,"corporation":false,"usgs":true,"family":"Ikard","given":"Scott","affiliations":[],"preferred":false,"id":304963,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Powers, Michael H. 0000-0002-4480-7856 mhpowers@usgs.gov","orcid":"https://orcid.org/0000-0002-4480-7856","contributorId":851,"corporation":false,"usgs":true,"family":"Powers","given":"Michael","email":"mhpowers@usgs.gov","middleInitial":"H.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":304961,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70236358,"text":"70236358 - 2010 - Multiple phases of basin formation along the Stateline fault system in the Pahrump and Mesquite Valleys, Nevada and California","interactions":[],"lastModifiedDate":"2022-09-02T19:48:01.910987","indexId":"70236358","displayToPublicDate":"2010-04-01T14:41:09","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Multiple phases of basin formation along the Stateline fault system in the Pahrump and Mesquite Valleys, Nevada and California","docAbstract":"<p>Two phases of deformation are needed to describe the Cenozoic tectonic evolution of the Pahrump and Mesquite basins in the southern Great Basin and eastern Mojave Desert, United States. By interpreting seismic reflection and gravity observations along with bedrock and surficial mapping, we infer an extensional phase of basin formation followed by a transtensional phase, in this area straddling the border of southern Nevada and southeastern California. We reprocessed ∼220 line km of industry seismic reflection data from the Pahrump and Mesquite Valleys to emphasize reflections in the basin fill, and combined these results with analysis of gravity data. The seismic lines portray the complex geometry of the Stateline fault system, a major Neogene dextral strike-slip system that passes through these valleys, and provide evidence for multiple ages of faulting along structures that bound the Pahrump basin. Locally thick sequences of preextensional Tertiary sedimentary rocks are cut by large-offset, relatively high-angle normal faults that record a phase of extensional basin formation that preceded transtension. The existence of preextensional basins beneath the Pahrump and Mesquite Valleys bears on tectonic reconstruction of the region and suggests that tilted ranges blocks to the west of these valleys need not restore to positions immediately adjacent to the Spring Mountains to the east. Subsequent dextral offset on the Stateline fault system resulted in the formation of steep-sided basins, local arching and tectonic inversion, and the burial of earlier-formed normal faults with coarse clastic detritus. Gravity models that are constrained to match the basin architecture observed in the seismic lines require lateral variations in basin-fill and bedrock density, and they confirm that the Paleozoic outcrop of Black Butte, a topographic high separating the Pahrump and Mesquite Valleys, is unrooted to underlying bedrock.</p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES00520.1","usgsCitation":"Scheirer, D., Sweetkind, D.S., and Miller, J.J., 2010, Multiple phases of basin formation along the Stateline fault system in the Pahrump and Mesquite Valleys, Nevada and California: Geosphere, v. 6, no. 2, p. 93-129, https://doi.org/10.1130/GES00520.1.","productDescription":"37 p.","startPage":"93","endPage":"129","costCenters":[],"links":[{"id":475737,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00520.1","text":"Publisher Index Page"},{"id":406178,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Mesquite Valley, Pahrump Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.48553466796874,\n              35.634976650677295\n            ],\n            [\n              -115.52947998046874,\n              35.94688293218141\n            ],\n            [\n              -115.58990478515625,\n              36.089060460282006\n            ],\n            [\n              -115.70251464843749,\n              36.089060460282006\n            ],\n            [\n              -115.76568603515624,\n              36.20882309283712\n            ],\n            [\n              -115.8673095703125,\n              36.20439070158873\n            ],\n            [\n              -115.85906982421874,\n              36.31733823488624\n            ],\n            [\n              -116.01287841796874,\n              36.48976535146369\n            ],\n            [\n              -116.28204345703124,\n              36.28856319836237\n            ],\n            [\n              -116.25457763671875,\n              36.20217441183449\n            ],\n            [\n              -116.16668701171875,\n              36.16005298551354\n            ],\n            [\n              -116.0870361328125,\n              36.00911716117325\n            ],\n            [\n              -116.08154296875001,\n              35.86902116501695\n            ],\n            [\n              -115.94696044921875,\n              35.81558597375359\n            ],\n            [\n              -115.71075439453125,\n              35.7286770448517\n            ],\n            [\n              -115.65856933593749,\n              35.66622234103479\n            ],\n            [\n              -115.48553466796874,\n              35.634976650677295\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"6","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Scheirer, Daniel S. dscheirer@usgs.gov","contributorId":2325,"corporation":false,"usgs":true,"family":"Scheirer","given":"Daniel S.","email":"dscheirer@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":850772,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sweetkind, Donald S. 0000-0003-0892-4796 dsweetkind@usgs.gov","orcid":"https://orcid.org/0000-0003-0892-4796","contributorId":139913,"corporation":false,"usgs":true,"family":"Sweetkind","given":"Donald","email":"dsweetkind@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":850773,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, John J. 0000-0002-9098-0967 jmiller@usgs.gov","orcid":"https://orcid.org/0000-0002-9098-0967","contributorId":3785,"corporation":false,"usgs":true,"family":"Miller","given":"John","email":"jmiller@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":850774,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70236414,"text":"70236414 - 2010 - Reply to “Comment on ‘Is There a Basis for Preferring Characteristic Earthquakes over a Gutenberg–Richter Distribution in Probabilistic Earthquake Forecasting?’ by Tom Parsons and Eric L. Geist” by Jens-Uwe Klügel","interactions":[],"lastModifiedDate":"2022-09-06T15:58:18.301012","indexId":"70236414","displayToPublicDate":"2010-04-01T10:49:51","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Reply to “Comment on ‘Is There a Basis for Preferring Characteristic Earthquakes over a Gutenberg–Richter Distribution in Probabilistic Earthquake Forecasting?’ by Tom Parsons and Eric L. Geist” by Jens-Uwe Klügel","docAbstract":"<p>The focus of Parsons and Geist (2009) was to test whether the key observational data used in earthquake forecasting necessitate a characteristic earthquake rupture model. The point of our article was not to suggest that a specific form of the Gutenberg–Richter earthquake distribution is a perfect representation of reality. The uncertainties surrounding event slip estimates, paleoseismic event rates, and observed a and b values in catalog magnitude–frequency distributions are broad. So broad, in fact, that giving full weight to just one model of earthquake rupture behavior in formal forecasting is unjustified. Further, the characteristic earthquake model requires definition of rupture segments, which introduces a series of unquantifiable uncertainties that are seldom addressed in forecasts (e.g., Field et al., 2009).</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120090327","usgsCitation":"Parsons, T.E., and Geist, E.L., 2010, Reply to “Comment on ‘Is There a Basis for Preferring Characteristic Earthquakes over a Gutenberg–Richter Distribution in Probabilistic Earthquake Forecasting?’ by Tom Parsons and Eric L. Geist” by Jens-Uwe Klügel: Bulletin of the Seismological Society of America, v. 100, no. 2, p. 898-899, https://doi.org/10.1785/0120090327.","productDescription":"2 p.","startPage":"898","endPage":"899","costCenters":[],"links":[{"id":406238,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"100","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-03-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Parsons, Thomas E. 0000-0002-0582-4338 tparsons@usgs.gov","orcid":"https://orcid.org/0000-0002-0582-4338","contributorId":2314,"corporation":false,"usgs":true,"family":"Parsons","given":"Thomas","email":"tparsons@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":850932,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Geist, Eric L. 0000-0003-0611-1150 egeist@usgs.gov","orcid":"https://orcid.org/0000-0003-0611-1150","contributorId":1956,"corporation":false,"usgs":true,"family":"Geist","given":"Eric","email":"egeist@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":850933,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70003682,"text":"70003682 - 2010 - Oviduct modifications in foam-nesting frogs, with emphasis on the genus <i>Leptodactylus</i> (Amphibia, Leptodactylidae)","interactions":[],"lastModifiedDate":"2021-02-19T19:31:04.564036","indexId":"70003682","displayToPublicDate":"2010-04-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3438,"text":"South American Journal of Herpetology","active":true,"publicationSubtype":{"id":10}},"title":"Oviduct modifications in foam-nesting frogs, with emphasis on the genus <i>Leptodactylus</i> (Amphibia, Leptodactylidae)","docAbstract":"<p><span>Various species of frogs produce foam nests that hold their eggs during development. We examined the external morphology and histology of structures associated with foam nest production in frogs of the genus&nbsp;</span><i>Leptodactylus</i><span>&nbsp;and a few other taxa. We found that the posterior convolutions of the oviducts in all mature female foam-nesting frogs that we examined were enlarged and compressed into globular structures. This organ-like portion of the oviduct has been called a “foam gland” and these structures almost certainly produce the secretion that is beaten by rhythmic limb movements into foam that forms the nest. However, the label “foam gland” is a misnomer because the structures are simply enlarged and tightly folded regions of the&nbsp;</span><i>pars convoluta</i><span>&nbsp;of the oviduct, rather than a separate structure; we suggest the name&nbsp;</span><i>pars convoluta dilata</i><span>&nbsp;(PCD) for this feature. Although all the foam-nesters we examined had a&nbsp;</span><i>pars convoluta dilata</i><span>, its size and shape showed considerable interspecific variation. Some of this variation likely reflects differences in the breeding behaviors among species and in the size, type, and placement of their foam nests. Other variation, particularly in size, may be associated with the physiological periodicity and reproductive state of the female, her age, and/or the number of times she has laid eggs.</span></p>","language":"English","publisher":"Brazilian Society of Herpetology","doi":"10.2994/057.005.0102","usgsCitation":"Furness, A.I., McDiarmid, R.W., Heyer, W.R., and Zug, G.R., 2010, Oviduct modifications in foam-nesting frogs, with emphasis on the genus <i>Leptodactylus</i> (Amphibia, Leptodactylidae): South American Journal of Herpetology, v. 5, no. 1, p. 13-29, https://doi.org/10.2994/057.005.0102.","productDescription":"17 p.","startPage":"13","endPage":"29","numberOfPages":"17","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":383386,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae4e4b07f02db68a052","contributors":{"authors":[{"text":"Furness, Andrew I.","contributorId":25415,"corporation":false,"usgs":true,"family":"Furness","given":"Andrew","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":348312,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McDiarmid, Roy W. 0000-0002-7649-1796 rmcdiarmid@usgs.gov","orcid":"https://orcid.org/0000-0002-7649-1796","contributorId":3603,"corporation":false,"usgs":true,"family":"McDiarmid","given":"Roy","email":"rmcdiarmid@usgs.gov","middleInitial":"W.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":348311,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heyer, W. Ronald","contributorId":95004,"corporation":false,"usgs":true,"family":"Heyer","given":"W.","email":"","middleInitial":"Ronald","affiliations":[],"preferred":false,"id":348314,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zug, George R.","contributorId":76874,"corporation":false,"usgs":true,"family":"Zug","given":"George","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":348313,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70043885,"text":"70043885 - 2010 - Using generalized linear models to estimate selectivity from short-term recoveries of tagged red drum Sciaenops ocellatus: Effects of gear, fate, and regulation period","interactions":[],"lastModifiedDate":"2021-03-31T15:21:28.445695","indexId":"70043885","displayToPublicDate":"2010-04-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1661,"text":"Fisheries Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Using generalized linear models to estimate selectivity from short-term recoveries of tagged red drum <i>Sciaenops ocellatus</i>: Effects of gear, fate, and regulation period","title":"Using generalized linear models to estimate selectivity from short-term recoveries of tagged red drum Sciaenops ocellatus: Effects of gear, fate, and regulation period","docAbstract":"<p><span>Estimating the selectivity patterns of various fishing gears is a critical component of fisheries stock assessment due to the difficulty in obtaining representative samples from most gears. We used short-term recoveries (</span><i>n</i><span>&nbsp;</span><span>=</span><span>&nbsp;</span><span>3587) of tagged red drum&nbsp;</span><i>Sciaenops ocellatus</i><span>&nbsp;to directly estimate age- and length-based selectivity patterns using generalized linear models. The most parsimonious models were selected using AIC, and standard deviations were estimated using simulations. Selectivity of red drum was dependent upon the regulation period in which the fish was caught, the gear used to catch the fish (i.e., hook-and-line, gill nets, pound nets), and the fate of the fish upon recovery (i.e., harvested or released); models including all first-order interactions between main effects outperformed models without interactions. Selectivity of harvested fish was generally dome-shaped and shifted toward larger, older fish in response to regulation changes. Selectivity of caught-and-released red drum was highest on the youngest and smallest fish in the early and middle regulation periods, but increased on larger, legal-sized fish in the late regulation period. These results suggest that catch-and-release mortality has consistently been high for small, young red drum, but has recently become more common in larger, older fish. This method of estimating selectivity from short-term tag recoveries is valuable because it is simpler than full tag-return models, and may be more robust because yearly fishing and natural mortality rates do not need to be modeled and estimated.</span></p>","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.fishres.2009.12.007","usgsCitation":"Bacheler, N.M., Hightower, J.E., Burdick, S.M., Paramore, L.M., Buckel, J.A., and Pollock, K.H., 2010, Using generalized linear models to estimate selectivity from short-term recoveries of tagged red drum Sciaenops ocellatus: Effects of gear, fate, and regulation period: Fisheries Research, v. 102, no. 3, p. 266-275, https://doi.org/10.1016/j.fishres.2009.12.007.","productDescription":"10 p.","startPage":"266","endPage":"275","numberOfPages":"10","ipdsId":"IP-016285","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":270787,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.849609375,\n              36.55377524336089\n            ],\n            [\n              -78.98071289062499,\n              36.54494944148322\n            ],\n            [\n              -79.25537109375,\n              34.46127728843705\n            ],\n            [\n              -78.519287109375,\n              33.742612777346885\n            ],\n            [\n              -77.71728515624999,\n              33.90689555128866\n            ],\n            [\n              -76.70654296875,\n              34.642247047768535\n            ],\n            [\n              -76.168212890625,\n              34.89494244739732\n            ],\n            [\n              -75.465087890625,\n              35.88905007936091\n            ],\n            [\n              -75.849609375,\n              36.55377524336089\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"102","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"516689e5e4b0bba30b388bed","contributors":{"authors":[{"text":"Bacheler, Nathan M.","contributorId":34403,"corporation":false,"usgs":true,"family":"Bacheler","given":"Nathan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":474391,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hightower, Joseph E. jhightower@usgs.gov","contributorId":835,"corporation":false,"usgs":true,"family":"Hightower","given":"Joseph","email":"jhightower@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":474387,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burdick, Summer M. 0000-0002-3480-5793 sburdick@usgs.gov","orcid":"https://orcid.org/0000-0002-3480-5793","contributorId":3448,"corporation":false,"usgs":true,"family":"Burdick","given":"Summer","email":"sburdick@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":474388,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paramore, Lee M.","contributorId":104368,"corporation":false,"usgs":true,"family":"Paramore","given":"Lee","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":474392,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buckel, Jeffrey A.","contributorId":28500,"corporation":false,"usgs":true,"family":"Buckel","given":"Jeffrey","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":474390,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pollock, Kenneth H.","contributorId":8590,"corporation":false,"usgs":false,"family":"Pollock","given":"Kenneth","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":474389,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70179293,"text":"70179293 - 2010 - Viral hemorrhagic septicemia virus (VHSV IVb) risk factors and association measures derived by expert panel","interactions":[],"lastModifiedDate":"2016-12-27T14:16:26","indexId":"70179293","displayToPublicDate":"2010-04-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3117,"text":"Preventive Veterinary Medicine","active":true,"publicationSubtype":{"id":10}},"title":"Viral hemorrhagic septicemia virus (VHSV IVb) risk factors and association measures derived by expert panel","docAbstract":"<p><span>Viral hemorrhagic septicemia virus (VHSV) is an OIE-listed pathogen of fish, recently expanding in known host and geographic range in North America. Through a group process designed for subjective probability assessment, an international panel of fish health experts identified and weighted risk factors perceived important to the emergence and spread of the viral genotype, VHSV IVb, within and from the Great Lakes region of the US and Canada. Identified factors included the presence of known VHSV-susceptible species, water temperatures conducive for disease, hydrologic connectivity and proximity to known VHSV-positive areas, untested shipments of live or frozen fish from known positive regions, insufficient regulatory infrastructure for fish health oversight, and uncontrolled exposure to fomites associated with boat and equipment or fish wastes from known VHSV-positive areas. Results provide qualitative insights for use in VHSV surveillance and risk-management planning, and quantitative estimates of contextual risk for use in a Bayesian model combining multiple evidence streams for joint probability assessment of disease freedom status. Consistency checks suggest that the compiled factors positively reflect expert judgment of watershed risk for acquiring VHSV IVb. External validation is recommended as the availability of empirical data permits.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.prevetmed.2009.11.020","usgsCitation":"VHSV Expert Panel And Working Group, 2010, Viral hemorrhagic septicemia virus (VHSV IVb) risk factors and association measures derived by expert panel: Preventive Veterinary Medicine, p. 128-139, https://doi.org/10.1016/j.prevetmed.2009.11.020.","productDescription":"12 p. ","startPage":"128","endPage":"139","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":332563,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58638bd4e4b0cd2dabe7beb6","contributors":{"authors":[{"text":"VHSV Expert Panel And Working Group","contributorId":177686,"corporation":true,"usgs":false,"organization":"VHSV Expert Panel And Working Group","id":656672,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70174871,"text":"70174871 - 2010 - Measuring bulrush culm relationships to estimate plant biomass within a southern California treatment wetland","interactions":[],"lastModifiedDate":"2017-05-04T10:08:50","indexId":"70174871","displayToPublicDate":"2010-04-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Measuring bulrush culm relationships to estimate plant biomass within a southern California treatment wetland","docAbstract":"<p><span>Assessment of emergent vegetation biomass can be time consuming and labor intensive. To establish a less onerous, yet accurate method, for determining emergent plant biomass than by direct measurements we collected vegetation data over a six-year period and modeled biomass using easily obtained variables: culm (stem) diameter, culm height and culm density. From 1998 through 2005, we collected emergent vegetation samples (</span><i class=\"EmphasisTypeItalic \">Schoenoplectus californicus</i><span>&nbsp;and</span><i class=\"EmphasisTypeItalic \">Schoenoplectus acutus</i><span>) at a constructed treatment wetland in San Jacinto, California during spring and fall. Various statistical models were run on the data to determine the strongest relationships. We found that the nonlinear relationship:&nbsp;</span><span id=\"IEq1\" class=\"InlineEquation\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi&gt;C&lt;/mi&gt;&lt;mi&gt;B&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mrow class=&quot;MJX-TeXAtom-ORD&quot;&gt;&lt;msub&gt;&lt;mi&gt;&amp;#x03B2;&lt;/mi&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;mi&gt;D&lt;/mi&gt;&lt;mrow class=&quot;MJX-TeXAtom-ORD&quot;&gt;&lt;msup&gt;&lt;mi&gt;H&lt;/mi&gt;&lt;mrow class=&quot;MJX-TeXAtom-ORD&quot;&gt;&lt;mrow class=&quot;MJX-TeXAtom-ORD&quot;&gt;&lt;msub&gt;&lt;mi&gt;&amp;#x03B2;&lt;/mi&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/mrow&gt;&lt;/msup&gt;&lt;/mrow&gt;&lt;mrow class=&quot;MJX-TeXAtom-ORD&quot;&gt;&lt;msup&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mi&gt;&amp;#x03B5;&lt;/mi&gt;&lt;/msup&gt;&lt;/mrow&gt;&lt;/math&gt;\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span><span id=\"MathJax-Span-2\" class=\"mrow\"><i><span id=\"MathJax-Span-3\" class=\"mi\">C</span><span id=\"MathJax-Span-4\" class=\"mi\">B</span></i><span id=\"MathJax-Span-5\" class=\"mo\">=</span><span id=\"MathJax-Span-6\" class=\"texatom\"><span id=\"MathJax-Span-7\" class=\"mrow\"><span id=\"MathJax-Span-8\" class=\"msubsup\"><span><span><span id=\"MathJax-Span-9\" class=\"mi\">&beta;</span></span><sub><span><span id=\"MathJax-Span-10\" class=\"mn\">0</span></span></sub></span></span></span></span><span id=\"MathJax-Span-11\" class=\"mi\">D</span><span id=\"MathJax-Span-12\" class=\"texatom\"><span id=\"MathJax-Span-13\" class=\"mrow\"><span id=\"MathJax-Span-14\" class=\"msubsup\"><span><span><span id=\"MathJax-Span-15\" class=\"mi\">H</span></span><sup><span><span id=\"MathJax-Span-16\" class=\"texatom\"><span id=\"MathJax-Span-17\" class=\"mrow\"><span id=\"MathJax-Span-18\" class=\"texatom\"><span id=\"MathJax-Span-19\" class=\"mrow\"><span id=\"MathJax-Span-20\" class=\"msubsup\"><span><span><span id=\"MathJax-Span-21\" class=\"mi\">&beta;</span></span><sub><span><span id=\"MathJax-Span-22\" class=\"mn\">1</span></span></sub></span></span></span></span></span></span></span></sup></span></span></span></span><span id=\"MathJax-Span-23\" class=\"texatom\"><span id=\"MathJax-Span-24\" class=\"mrow\"><span id=\"MathJax-Span-25\" class=\"msubsup\"><span><span><span id=\"MathJax-Span-26\" class=\"mn\">10</span></span><sup><span><span id=\"MathJax-Span-27\" class=\"mi\">&epsilon;</span></span></sup></span></span></span></span></span></span></span></span></span></span><span>, where&nbsp;</span><i class=\"EmphasisTypeItalic \">CB</i><span>&nbsp;was dry culm biomass (g&nbsp;m</span><sup><span>&minus;2</span></sup><span>),&nbsp;</span><i class=\"EmphasisTypeItalic \">DH</i><span>&nbsp;was density of culms &times; average height of culms in a plot, and &beta;</span><sub><span>0</span></sub><span>&nbsp;and &beta;</span><sub><span>1</span></sub><span>&nbsp;were parameters to estimate, proved to be the best fit for predicting dried-live above-ground biomass of the two&nbsp;</span><i class=\"EmphasisTypeItalic \">Schoenoplectus</i><span>&nbsp;species. The random error distribution, &epsilon;, was either assumed to be normally distributed for mean regression estimates or assumed to be an unspecified continuous distribution for quantile regression estimates.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s13157-010-0018-x","usgsCitation":"Daniels, J.S., Cade, B.S., and Sartoris, J.J., 2010, Measuring bulrush culm relationships to estimate plant biomass within a southern California treatment wetland: Wetlands, v. 30, no. 2, p. 231-239, https://doi.org/10.1007/s13157-010-0018-x.","productDescription":"9 p.","startPage":"231","endPage":"239","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-014301","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":325437,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-03-16","publicationStatus":"PW","scienceBaseUri":"578f4f2ee4b0ad6235cf0028","contributors":{"authors":[{"text":"Daniels, Joan S.","contributorId":172997,"corporation":false,"usgs":false,"family":"Daniels","given":"Joan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":642932,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cade, Brian S. 0000-0001-9623-9849 cadeb@usgs.gov","orcid":"https://orcid.org/0000-0001-9623-9849","contributorId":1278,"corporation":false,"usgs":true,"family":"Cade","given":"Brian","email":"cadeb@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":642933,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sartoris, James J.","contributorId":98018,"corporation":false,"usgs":true,"family":"Sartoris","given":"James","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":642934,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70156704,"text":"70156704 - 2010 - Correlation of the Miocene Peach Spring Tuff with the geomagnetic polarity time scale and new constraints on tectonic rotations in the Mojave Desert, California","interactions":[],"lastModifiedDate":"2023-05-24T13:22:17.707589","indexId":"70156704","displayToPublicDate":"2010-04-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Correlation of the Miocene Peach Spring Tuff with the geomagnetic polarity time scale and new constraints on tectonic rotations in the Mojave Desert, California","docAbstract":"<p><span>We report new paleomagnetic results and&nbsp;</span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar ages from the Peach Spring Tuff (PST), a key marker bed that occurs in the desert region between Barstow, California, and Peach Springs, Arizona. The&nbsp;</span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar ages were determined using individual hand-picked sanidine crystals from ash-flow specimens used in previous paleomagnetic studies at eight sites correlated by mineralogy, stratigraphic position, and magnetic inclination. Site-mean ages, which range from 18.43 Ma to 18.78 Ma with analytical precision (1 s.d.) typically 0.04 Ma, were obtained from areas near Fort Rock, AZ; McCullough Mts, NV; Cima Dome, Parker Dam, Danby, Ludlow, Kane Walsh, and Stoddard Wash, CA. The regional mean age determination is 18.71 ± 0.13 Ma, after the data were selected for sanidine crystals that yielded greater than 90% radiogenic argon (N=40). This age determination is compatible with previous&nbsp;</span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar dating of the PST after taking various neutron-flux monitor calibrations into account. We report paleomagnetic results from eight new sites that bear on reconstructions of the Miocene basins associated with the Hector Formation, Barstow Formation, and similar fine-grained sedimentary deposits in the Barstow region. Key findings of the new paleomagnetic study pertain to age control of the Hector Formation and clockwise rotation of the Northeast Mojave Domain. Our study of a rhyolitic ash flow at Baxter Wash, northern Cady Mountains, confirms the correlation of the PST within the Hector Formation and prompts reinterpretation of the previously determined magnetostratigraphy. Our model correlates the PST to the normal-polarity zone just below the C6-C5E boundary (18.748 Ma) of the astronomically tuned Geomagnetic Polarity Time Scale. After emplacement of the Peach Spring Tuff at Alvord Mountain and the Cady Mountains, the southern part of the Northeast Mojave Domain (between Cady and Coyote Lake faults) underwent clockwise rotation of 30°–55°. Clockwise rotations increase with distance northward from the Cady fault and may reflect Late Miocene and younger accommodation of right-lateral motion across the Eastern California Shear Zone. The new results also expand the area known to be affected by the Peach Springs eruption, and confirm that a pink ash-flow tuff surrounding Daggett Ridge near Barstow is part of the PST.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Overboard in the Mojave: 20 million years of lakes and wetlands","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Overboard in the Mojave: 20 million years of lakes and wetlands","conferenceDate":"April, 2010","conferenceLocation":"Fullerton, CA","language":"English","publisher":"California State University Desert Studies Consortium","usgsCitation":"Hillhouse, J.W., Miller, D., and Turrin, B., 2010, Correlation of the Miocene Peach Spring Tuff with the geomagnetic polarity time scale and new constraints on tectonic rotations in the Mojave Desert, California, <i>in</i> Overboard in the Mojave: 20 million years of lakes and wetlands, Fullerton, CA, April, 2010, p. 105-121.","productDescription":"17 p.","startPage":"105","endPage":"121","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-021139","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":307553,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":307552,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://biology.fullerton.edu/facilities/dsc/school/symposium.html"}],"country":"United States","state":"Arizona, California, Nevada","otherGeospatial":"Mojave Desert","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.476806640625,\n              34.016241889667015\n            ],\n            [\n              -111.939697265625,\n              34.016241889667015\n            ],\n            [\n              -111.939697265625,\n              37.53586597792038\n            ],\n            [\n              -117.476806640625,\n              37.53586597792038\n            ],\n            [\n              -117.476806640625,\n              34.016241889667015\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55dee32ee4b0518e354e0801","contributors":{"authors":[{"text":"Hillhouse, John W. 0000-0002-1371-4622 jhillhouse@usgs.gov","orcid":"https://orcid.org/0000-0002-1371-4622","contributorId":2618,"corporation":false,"usgs":true,"family":"Hillhouse","given":"John","email":"jhillhouse@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":570165,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":1707,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":570166,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Turrin, Brent D.","contributorId":89867,"corporation":false,"usgs":true,"family":"Turrin","given":"Brent D.","affiliations":[],"preferred":false,"id":570167,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70155086,"text":"70155086 - 2010 - Abandoned mine drainage in the Swatara Creek Basin, southern anthracite coalfield, Pennsylvania, USA: 2. performance of treatment systems","interactions":[],"lastModifiedDate":"2015-07-29T11:13:09","indexId":"70155086","displayToPublicDate":"2010-04-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2745,"text":"Mine Water and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Abandoned mine drainage in the Swatara Creek Basin, southern anthracite coalfield, Pennsylvania, USA: 2. performance of treatment systems","docAbstract":"<p><span>A variety of passive and semi-passive treatment systems were constructed by state and local agencies to neutralize acidic mine drainage (AMD) and reduce the transport of dissolved metals in the upper Swatara Creek Basin in the Southern Anthracite Coalfield in eastern Pennsylvania. To evaluate the effectiveness of selected treatment systems installed during 1995&ndash;2001, the US Geological Survey collected water-quality data at upstream and downstream locations relative to each system eight or more times annually for a minimum of 3&nbsp;years at each site during 1996&ndash;2007. Performance was normalized among treatment types by dividing the acid load removed by the size of the treatment system. For the limestone sand, open limestone channel, oxic limestone drain, anoxic limestone drain (ALD), and limestone diversion well treatment systems, the size was indicated by the total mass of limestone; for the aerobic wetland systems, the size was indicated by the total surface area of ponds and wetlands. Additionally, the approximate cost per tonne of acid treated over an assumed service life of 20&nbsp;years was computed. On the basis of these performance metrics, the limestone sand, ALD, oxic limestone drain, and limestone diversion wells had similar ranges of acid-removal efficiency and cost efficiency. However, the open limestone channel had lower removal efficiency and higher cost per ton of acid treated. The wetlands effectively attenuated metals transport but were relatively expensive considering metrics that evaluated acid removal and cost efficiency. Although the water-quality data indicated that all treatments reduced the acidity load from AMD, the ALD was most effective at producing near-neutral pH and attenuating acidity and dissolved metals. The diversion wells were effective at removing acidity and increasing pH of downstream water and exhibited unique potential to treat moderate to high flows associated with storm flow conditions.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10230-010-0113-5","usgsCitation":"Cravotta, C., 2010, Abandoned mine drainage in the Swatara Creek Basin, southern anthracite coalfield, Pennsylvania, USA: 2. performance of treatment systems: Mine Water and the Environment, v. 29, no. 3, p. 200-216, https://doi.org/10.1007/s10230-010-0113-5.","productDescription":"17 p.","startPage":"200","endPage":"216","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-013771","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":306227,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":305713,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/article/10.1007/s10230-010-0113-5"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Swatara Creek Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.62757873535156,\n              40.42499671108253\n            ],\n            [\n              -76.62757873535156,\n              40.58162765924269\n            ],\n            [\n              -76.32064819335938,\n              40.58162765924269\n            ],\n            [\n              -76.32064819335938,\n              40.42499671108253\n            ],\n            [\n              -76.62757873535156,\n              40.42499671108253\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"29","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2010-04-30","publicationStatus":"PW","scienceBaseUri":"55b98fb9e4b08f6647be516b","contributors":{"authors":[{"text":"Cravotta, Charles A. III 0000-0003-3116-4684 cravotta@usgs.gov","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":138829,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles A.","suffix":"III","email":"cravotta@usgs.gov","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":564788,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70157566,"text":"70157566 - 2010 - Stratigraphy, age, and depositional setting of the Miocene Barstow Formation at Harvard Hill, central Mojave Desert, California","interactions":[],"lastModifiedDate":"2023-05-24T13:21:36.133472","indexId":"70157566","displayToPublicDate":"2010-04-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Stratigraphy, age, and depositional setting of the Miocene Barstow Formation at Harvard Hill, central Mojave Desert, California","docAbstract":"<p><span>New detailed geologic mapping and geochronology of the Barstow Formation at Harvard Hill, 30 km east of Barstow, CA, help to constrain Miocene paleogeography and tectonics of the central Mojave Desert. A northern strand of the Quaternary ENE-striking, sinistral Manix fault divides the Barstow Formation at Harvard Hill into two distinct lithologic assemblages. Strata north of the fault consist of: a green rhyolitic tuff, informally named the Shamrock tuff; lacustrine sandstone; partially silicified thin-bedded to massive limestone; and alluvial sandstone to pebble conglomerate. Strata south of the fault consist of: lacustrine siltstone and sandstone; a rhyolitic tuff dated at 19.1 Ma (U-Pb); rock-avalanche breccia deposits; partially silicified well-bedded to massive limestone; and alluvial sandstone and conglomerate. Our U-Pb zircon dating of the Shamrock tuff by SHRIMP-RG yields a peak probability age of 18.7 &plusmn; 0.1 Ma. Distinctive outcrop characteristics, mineralogy, remanent magnetization, and zircon geochemistry (Th/U) suggest that the Shamrock tuff represents a lacustrine facies of the regionally extensive Peach Spring Tuff (PST). Here we compare zircon age and geochemical analyses from the Shamrock tuff with those of the PST at Stoddard Wash and provide new insight into the age of zircon crystallization in the PST rhyolite. Results of our field studies show that Miocene strata at Harvard Hill mostly accumulated in a lacustrine environment, although depositional environments varied from a relatively deep lake to a very shallow lake or even onshore setting. Rock-avalanche breccias and alluvial deposits near the base of the exposed section indicate proximity to a steep basin margin and detrital studies suggest a southern source for coarse-grained deposits; therefore, we may infer a southern basin-margin setting at Harvard Hill during the early Miocene. Our geochronology demonstrates that deposition of the Barstow Formation at Harvard Hill extended from before ~19.1 Ma until well after ~18.7 Ma, similar to timing of Barstow Formation lake deposition in the Calico Mountains but at least 3 million years older than comparable lacustrine facies in the Mud Hills type section. These observations are consistent with either of two paleogeographic models: westward transgression of lacustrine environments within a single large basin, or sequential development of geographically distinct eastern and western sub-basins.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Overboard in the Mojave: 20 million years of lakes and wetlands","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2010 Desert Symposium","conferenceDate":"April, 2010","language":"English","publisher":"California State University Desert Studies Consortium","usgsCitation":"Leslie, S.R., Miller, D., Wooden, J., and Vazquez, J.A., 2010, Stratigraphy, age, and depositional setting of the Miocene Barstow Formation at Harvard Hill, central Mojave Desert, California, <i>in</i> Overboard in the Mojave: 20 million years of lakes and wetlands, April, 2010, 20 p.","productDescription":"20 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-021102","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":308665,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Harvard Hill, Mojave Desert","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -116.66628115139929,\n              34.93378658494973\n            ],\n            [\n              -116.66540100503497,\n              34.934596132280205\n            ],\n            [\n              -116.66527220312803,\n              34.935370474424644\n            ],\n            [\n              -116.66557274091105,\n              34.93593362775644\n            ],\n            [\n              -116.66683929299616,\n              34.93538807302471\n            ],\n            [\n              -116.66829904794145,\n              34.934772119773186\n            ],\n            [\n              -116.66628115139929,\n              34.93378658494973\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"560a64ede4b058f706e536f6","contributors":{"authors":[{"text":"Leslie, Shannon R.","contributorId":148038,"corporation":false,"usgs":false,"family":"Leslie","given":"Shannon","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":573654,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":1707,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":573655,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wooden, Joseph L.","contributorId":32209,"corporation":false,"usgs":true,"family":"Wooden","given":"Joseph L.","affiliations":[],"preferred":false,"id":573656,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vazquez, Jorge A. 0000-0003-2754-0456 jvazquez@usgs.gov","orcid":"https://orcid.org/0000-0003-2754-0456","contributorId":4458,"corporation":false,"usgs":true,"family":"Vazquez","given":"Jorge","email":"jvazquez@usgs.gov","middleInitial":"A.","affiliations":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":573657,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98302,"text":"sir20075289 - 2010 - Recent U.S. Geological Survey Studies in the Tintina Gold Province, Alaska, United States, and Yukon, Canada-Results of a 5-Year Project","interactions":[{"subject":{"id":70047479,"text":"sir20075289A - 2007 - Geology and origin of epigenetic lode gold deposits, Tintina Gold Province, Alaska and Yukon","indexId":"sir20075289A","publicationYear":"2007","noYear":false,"chapter":"A","title":"Geology and origin of epigenetic lode gold deposits, Tintina Gold Province, Alaska and Yukon"},"predicate":"IS_PART_OF","object":{"id":98302,"text":"sir20075289 - 2010 - Recent U.S. Geological Survey Studies in the Tintina Gold Province, Alaska, United States, and Yukon, Canada-Results of a 5-Year Project","indexId":"sir20075289","publicationYear":"2010","noYear":false,"title":"Recent U.S. Geological Survey Studies in the Tintina Gold Province, Alaska, United States, and Yukon, Canada-Results of a 5-Year Project"},"id":1}],"lastModifiedDate":"2018-10-22T10:55:32","indexId":"sir20075289","displayToPublicDate":"2010-03-30T00:00:00","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":"2007-5289","title":"Recent U.S. Geological Survey Studies in the Tintina Gold Province, Alaska, United States, and Yukon, Canada-Results of a 5-Year Project","docAbstract":"This report presents summary papers of work conducted between 2002 and 2007 under a 5-year project effort funded by the U.S. Geological Survey Mineral Resources Program, formerly entitled 'Tintina Metallogenic Province: Integrated Studies on Geologic Framework, Mineral Resources, and Environmental Signatures.' As the project progressed, the informal title changed from 'Tintina Metallogenic Province' project to 'Tintina Gold Province' project, the latter being more closely aligned with the terminology used by the mineral industry. As Goldfarb and others explain in the first chapter of this report, the Tintina Gold Province is a convenient term used by the mineral exploration community for a 'region of very varied geology, gold deposit types, and resource potential'.\r\n\r\nThe Tintina Gold Province encompasses roughly 150,000 square kilometers, bounded by the Kaltag-Tintina fault system on the north and the Farewell-Denali fault system on the south. It extends westward in a broad arc, some 200 km wide, from northernmost British Columbia, through the Yukon, through southeastern and central Alaska, to southwestern Alaska. The climate is subarctic and, in Alaska, includes major physiographic delineations and ecoregions such as the Yukon-Tanana Upland, Tanana-Kuskokwim Lowlands, Yukon River Lowlands, and the Kuskokwim Mountains. \r\n\r\nAlthough the Tintina Gold Province is historically important for some of the very first placer and lode gold discoveries in northern North America, it has recently seen resurgence in mineral exploration, development, and mining activity. This resurgence is due to both new discoveries (for example, Pogo and Donlin Creek) and to the application of modern extraction methods to previously known, but economically restrictive, low-grade, bulk-tonnage gold resources (for example, Fort Knox, Clear Creek, and Scheelite Dome). In addition, the Tintina Gold Province hosts numerous other mineral deposit types, possessing both high and low sulfide content, which are not currently in development.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20075289","usgsCitation":"Gough, L.P., and Day, W.C., 2010, Recent U.S. Geological Survey Studies in the Tintina Gold Province, Alaska, United States, and Yukon, Canada-Results of a 5-Year Project: U.S. Geological Survey Scientific Investigations Report 2007-5289, viii, 148 p., https://doi.org/10.3133/sir20075289.","productDescription":"viii, 148 p.","onlineOnly":"N","temporalStart":"2002-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":244,"text":"Eastern Mineral Resources Science Center","active":false,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":125543,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2007_5289.jpg"},{"id":13555,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5289/","linkFileType":{"id":5,"text":"html"}}],"scale":"5000000","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -180,54 ], [ -180,70 ], [ -115,70 ], [ -115,54 ], [ -180,54 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a7ee4b07f02db6485e5","contributors":{"authors":[{"text":"Gough, Larry P. lgough@usgs.gov","contributorId":1230,"corporation":false,"usgs":true,"family":"Gough","given":"Larry","email":"lgough@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":304947,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day, Warren C. 0000-0002-9278-2120 wday@usgs.gov","orcid":"https://orcid.org/0000-0002-9278-2120","contributorId":1308,"corporation":false,"usgs":true,"family":"Day","given":"Warren","email":"wday@usgs.gov","middleInitial":"C.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":304948,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98301,"text":"ofr20101061 - 2010 - Revised Subsurface Stratigraphic Framework of the Fort Union and Wasatch Formations, Powder River Basin, Wyoming and Montana","interactions":[],"lastModifiedDate":"2012-02-10T00:11:51","indexId":"ofr20101061","displayToPublicDate":"2010-03-30T00:00:00","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":"2010-1061","title":"Revised Subsurface Stratigraphic Framework of the Fort Union and Wasatch Formations, Powder River Basin, Wyoming and Montana","docAbstract":"Described in this report is an updated subsurface stratigraphic framework of the Paleocene Fort Union Formation and Eocene Wasatch Formation in the Powder River Basin (PRB) in Wyoming and Montana. This framework is graphically presented in 17 intersecting west-east and north-south cross sections across the basin. Also included are: (1) the dataset and all associated digital files and (2) digital files for all figures and table 1 suitable for large-format printing. The purpose of this U.S. Geological Survey (USGS) Open-File Report is to provide rapid dissemination and accessibility of the stratigraphic cross sections and related digital data to USGS customers, especially the U.S. Bureau of Land Management (BLM), to facilitate their modeling of the hydrostratigraphy of the PRB. This report contains a brief summary of the coal-bed correlations and database, and is part of a larger ongoing study that will be available in the near future.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101061","usgsCitation":"Flores, R.M., Spear, B.D., Purchase, P.A., and Gallagher, C.M., 2010, Revised Subsurface Stratigraphic Framework of the Fort Union and Wasatch Formations, Powder River Basin, Wyoming and Montana: U.S. Geological Survey Open-File Report 2010-1061, iv, 24p., 17 pls., https://doi.org/10.3133/ofr20101061.","productDescription":"iv, 24p., 17 pls.","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":125541,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1061.jpg"},{"id":13554,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1061/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -108,42.833333333333336 ], [ -108,46.833333333333336 ], [ -104,46.833333333333336 ], [ -104,42.833333333333336 ], [ -108,42.833333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a16e4b07f02db603c67","contributors":{"authors":[{"text":"Flores, Romeo M. rflores@usgs.gov","contributorId":71984,"corporation":false,"usgs":true,"family":"Flores","given":"Romeo","email":"rflores@usgs.gov","middleInitial":"M.","affiliations":[{"id":165,"text":"Central Energy Resources Team","active":false,"usgs":true}],"preferred":false,"id":304944,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spear, Brianne D.","contributorId":15657,"corporation":false,"usgs":true,"family":"Spear","given":"Brianne","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":304943,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Purchase, Peter A.","contributorId":77619,"corporation":false,"usgs":true,"family":"Purchase","given":"Peter","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":304945,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gallagher, Craig M.","contributorId":97209,"corporation":false,"usgs":true,"family":"Gallagher","given":"Craig","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":304946,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98300,"text":"sir20105048 - 2010 - Dissolved-Solids Load in Henrys Fork Upstream from the Confluence with Antelope Wash, Wyoming, Water Years 1970-2009","interactions":[],"lastModifiedDate":"2012-03-08T17:16:29","indexId":"sir20105048","displayToPublicDate":"2010-03-30T00:00:00","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":"2010-5048","title":"Dissolved-Solids Load in Henrys Fork Upstream from the Confluence with Antelope Wash, Wyoming, Water Years 1970-2009","docAbstract":"Annual dissolved-solids load at the mouth of Henrys Fork was estimated by using data from U.S. Geological Survey streamflow-gaging station 09229500, Henrys Fork near Manila, Utah. The annual dissolved-solids load for water years 1970-2009 ranged from 18,300 tons in 1977 to 123,300 tons in 1983. Annual streamflows for this period ranged from 14,100 acre-feet in 1977 to 197,500 acre-feet in 1983. The 25-percent trimmed mean dissolved-solids load for water years 1970-2009 was 44,300 tons per year at Henrys Fork near Manila, Utah.\r\n\r\nPrevious simulations using a SPAtially Referenced Regression On Watershed attributes (SPARROW) model for dissolved solids specific to water year 1991 conditions in the Upper Colorado River Basin predicted an annual dissolved-solids load of 25,000 tons for the Henrys Fork Basin upstream from Antelope Wash. On the basis of computed dissolved-solids load data from Henrys Fork near Manila, Utah, together with estimated annual dissolved-solids load from Antelope Wash and Peoples Canal, this prediction was adjusted to 37,200 tons. As determined by simulations with the Upper Colorado River Basin SPARROW model, approximately 56 percent (14,000 tons per year) of the dissolved-solids load at Henrys Fork upstream from Antelope Wash is associated with the 21,500 acres of irrigated agricultural lands in the upper Henrys Fork Basin.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105048","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Foster, K., and Kenney, T.A., 2010, Dissolved-Solids Load in Henrys Fork Upstream from the Confluence with Antelope Wash, Wyoming, Water Years 1970-2009: U.S. Geological Survey Scientific Investigations Report 2010-5048, iv, 16 p., https://doi.org/10.3133/sir20105048.","productDescription":"iv, 16 p.","onlineOnly":"N","temporalStart":"1970-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":684,"text":"Wyoming Water Science Center","active":false,"usgs":true}],"links":[{"id":125542,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5048.jpg"},{"id":13553,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5048/","linkFileType":{"id":5,"text":"html"}}],"scale":"1","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -110.46666666666667,40.8 ], [ -110.46666666666667,41.18333333333333 ], [ -109.63333333333334,41.18333333333333 ], [ -109.63333333333334,40.8 ], [ -110.46666666666667,40.8 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a81e4b07f02db64a23a","contributors":{"authors":[{"text":"Foster, Katharine","contributorId":38664,"corporation":false,"usgs":true,"family":"Foster","given":"Katharine","email":"","affiliations":[],"preferred":false,"id":304942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kenney, Terry A. 0000-0003-4477-7295 tkenney@usgs.gov","orcid":"https://orcid.org/0000-0003-4477-7295","contributorId":447,"corporation":false,"usgs":true,"family":"Kenney","given":"Terry","email":"tkenney@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":304941,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98299,"text":"ofr20101065 - 2010 - Monitoring and Evaluation of Environmental Flow Prescriptions for Five Demonstration Sites of the Sustainable Rivers Project","interactions":[],"lastModifiedDate":"2012-03-08T17:16:28","indexId":"ofr20101065","displayToPublicDate":"2010-03-30T00:00:00","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":"2010-1065","title":"Monitoring and Evaluation of Environmental Flow Prescriptions for Five Demonstration Sites of the Sustainable Rivers Project","docAbstract":"The Nature Conservancy has been working with U.S. Army Corps of Engineers (Corps) through the Sustainable Rivers Project (SRP) to modify operations of dams to achieve ecological objectives in addition to meeting the authorized purposes of the dams. Modifications to dam operations are specified in terms of environmental flow prescriptions that quantify the magnitude, duration, frequency, and seasonal timing of releases to achieve specific ecological outcomes. Outcomes of environmental flow prescriptions implemented from 2002 to 2008 have been monitored and evaluated at demonstration sites in five rivers: Green River, Kentucky; Savannah River, Georgia/South Carolina; Bill Williams River, Arizona; Big Cypress Creek, Texas; and Middle Fork Willamette River, Oregon. Monitoring and evaluation have been accomplished through collaborative partnerships of federal and state agencies, universities, and nongovernmental organizations.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101065","collaboration":"Prepared in cooperation with The Nature Conservancy Global Freshwater Program","usgsCitation":"Konrad, C.P., 2010, Monitoring and Evaluation of Environmental Flow Prescriptions for Five Demonstration Sites of the Sustainable Rivers Project: U.S. Geological Survey Open-File Report 2010-1065, iv, 21 p., https://doi.org/10.3133/ofr20101065.","productDescription":"iv, 21 p.","onlineOnly":"N","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":194353,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13552,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1065/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4ee4b07f02db627f65","contributors":{"authors":[{"text":"Konrad, Christopher P. 0000-0002-7354-547X cpkonrad@usgs.gov","orcid":"https://orcid.org/0000-0002-7354-547X","contributorId":1716,"corporation":false,"usgs":true,"family":"Konrad","given":"Christopher","email":"cpkonrad@usgs.gov","middleInitial":"P.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304940,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":98298,"text":"ofr20101055 - 2010 - eMODIS: A User-Friendly Data Source","interactions":[],"lastModifiedDate":"2012-02-02T00:15:02","indexId":"ofr20101055","displayToPublicDate":"2010-03-27T00:00:00","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":"2010-1055","title":"eMODIS: A User-Friendly Data Source","docAbstract":"The U.S. Geological Survey's (USGS) Earth Resources Observation and Science (EROS) Center is generating a suite of products called 'eMODIS' based on Moderate Resolution Imaging Spectroradiometer (MODIS) data acquired by the National Aeronautics and Space Administration's (NASA) Earth Observing System (EOS). With a more frequent repeat cycle than Landsat and higher spatial resolutions than the Advanced Very High Resolution Spectroradiometer (AVHRR), MODIS is well suited for vegetation studies. For operational monitoring, however, the benefits of MODIS are counteracted by usability issues with the standard map projection, file format, composite interval, high-latitude 'bow-tie' effects, and production latency. eMODIS responds to a community-specific need for alternatively packaged MODIS data, addressing each of these factors for real-time monitoring and historical trend analysis.\r\n\r\neMODIS processes calibrated radiance data (level-1B) acquired by the MODIS sensors on the EOS Terra and Aqua satellites by combining MODIS Land Science Collection 5 Atmospherically Corrected Surface Reflectance production code and USGS EROS MODIS Direct Broadcast System (DBS) software to create surface reflectance and Normalized Difference Vegetation Index (NDVI) products. eMODIS is produced over the continental United States and over Alaska extending into Canada to cover the Yukon River Basin. The 250-meter (m), 500-m, and 1,000-m products are delivered in Geostationary Earth Orbit Tagged Image File Format (Geo- TIFF) and composited in 7-day intervals. eMODIS composites are projected to non-Sinusoidal mapping grids that best suit the geography in their areas of application (see eMODIS Product Description below).\r\n\r\nFor eMODIS products generated over the continental United States (eMODIS CONUS), the Terra (from 2000) and Aqua (from 2002) records are available and continue through present time. eMODIS CONUS also is generated in an expedited process that delivers a 7-day rolling composite, created daily with the most recent 7 days of acquisition, to users monitoring real-time vegetation conditions. eMODIS Alaska is not part of expedited processing, but does cover the Terra mission life (2000-present). A simple file transfer protocol (FTP) distribution site currently is enabled on the Internet for direct download of eMODIS products (ftp://emodisftp.cr.usgs.gov/eMODIS), with plans to expand into an interactive portal environment.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101055","usgsCitation":"Jenkerson, C.B., Maiersperger, T., and Schmidt, G., 2010, eMODIS: A User-Friendly Data Source: U.S. Geological Survey Open-File Report 2010-1055, viii, 10 p. , https://doi.org/10.3133/ofr20101055.","productDescription":"viii, 10 p. ","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":125442,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1055.jpg"},{"id":13551,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1055/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e477be4b07f02db47fd8f","contributors":{"authors":[{"text":"Jenkerson, Calli B. 0000-0002-3780-9175 jenkerson@usgs.gov","orcid":"https://orcid.org/0000-0002-3780-9175","contributorId":469,"corporation":false,"usgs":true,"family":"Jenkerson","given":"Calli","email":"jenkerson@usgs.gov","middleInitial":"B.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":304937,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maiersperger, Thomas 0000-0003-3132-6997","orcid":"https://orcid.org/0000-0003-3132-6997","contributorId":16538,"corporation":false,"usgs":true,"family":"Maiersperger","given":"Thomas","affiliations":[],"preferred":false,"id":304938,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmidt, Gail 0000-0002-9684-8158","orcid":"https://orcid.org/0000-0002-9684-8158","contributorId":29086,"corporation":false,"usgs":true,"family":"Schmidt","given":"Gail","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":304939,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98296,"text":"sim3096 - 2010 - Geologic Map of MTM -40277, -45277, -40272, and -45272 Quadrangles, Eastern Hellas Planitia Region of Mars","interactions":[],"lastModifiedDate":"2023-03-16T10:56:37.42281","indexId":"sim3096","displayToPublicDate":"2010-03-27T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3096","title":"Geologic Map of MTM -40277, -45277, -40272, and -45272 Quadrangles, Eastern Hellas Planitia Region of Mars","docAbstract":"Hellas Planitia comprises the floor deposits of the Hellas basin, more than 2,000 km across and 8 km deep, which is located in the southern hemisphere's cratered highlands and is the largest well-preserved impact structure on the Martian surface. The circum-Hellas highlands represent a significant percentage of the southern hemisphere of Mars and have served as a locus for volcanic and sedimentary activity throughout Martian geologic time. Hellas basin topography has had a long-lasting influence, acting as Mars' deepest and second largest depositional sink, as a source for global dust storms, and as a forcing agent on southern hemisphere atmospheric circulation. The region lies in the Martian mid-latitude zone where geomorphic indicators of past, and possibly contemporary, ground ice are prominent. The highlands north of the basin show concentrations of Noachian valley networks, and those to the east show prominent lobate debris aprons that are considered to be geomorphic indicators of ground ice. Several studies have proposed that Hellas itself was the site of extensive glacial and lacustrine activity. Recent analyses of mineralogical information from Mars Express' OMEGA (Observatoire pour la Mineralogie, l'Eau les Glaces et l'Activite) and Mars Reconnaissance Orbiter's CRISM (Compact Reconnaissance Imaging Spectrometer for Mars) reveal outcrops of hydrated phyllosilicates in the region, strengthening an already strong case for past aqueous activity in and around Hellas basin. \r\n\r\nOur mapping and evaluation of landforms and materials of the Hellas region from basin rim to floor provides further insight into Martian global climate regimes and into the abundance, distribution, and flux of volatiles through history. Mars Transverse Mercator (MTM) quadrangles -40277, -45277, -45272, and -40272 (lat 37.5 degrees S.-47.5 degrees S., long 270 degrees W.-280 degrees W.) cover the eastern portion of the Hellas basin including the boundary between its floor and rim, the distal portions of Dao and Harmakhis Valles, and the deposits of eastern Hellas Planitia. The geologic mapping, at 1:1,000,000-scale from Viking Orbiter, Thermal Emission Imaging System (THEMIS) infrared (IR) and visible (VIS) wavelength, and Mars Orbiter Camera (MOC) narrow-angle images, combined with Mars Orbiter Laser Altimeter (MOLA) topographic data, characterizes the geologic materials and processes that have shaped this region. In particular, the mapping helps to evaluate landforms and deposits resulting from modification of highland terrains by volatile-driven degradation. This mapping study builds on previous mapping in Hellas Planitia and to the east and facilitates comparisons between the geologic history of the east rim, the remainder of the rim, and Hellas Planitia. Specific objectives of our mapping are (1) to reconstruct fluvial systems that dissect the Hellas rim, (2) to characterize the extensions of Dao and Harmakhis Valles onto the basin floor and to identify, if present, sediments these canyons contributed to Hellas Planitia from the rim, and (3) to investigate the mode of origin, age, and history of modification of the boundary between the east rim and Hellas Planitia.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sim3096","collaboration":"Prepared for the National Aeronautics and Space Administration","usgsCitation":"Bleamaster, L.F., and Crown, D., 2010, Geologic Map of MTM -40277, -45277, -40272, and -45272 Quadrangles, Eastern Hellas Planitia Region of Mars: U.S. Geological Survey Scientific Investigations Map 3096, Map: 49.58 x 29.28 inches; Pamphlet: i, 11 p., https://doi.org/10.3133/sim3096.","productDescription":"Map: 49.58 x 29.28 inches; Pamphlet: i, 11 p.","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":125444,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3096.jpg"},{"id":13549,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3096/","linkFileType":{"id":5,"text":"html"}},{"id":414261,"rank":3,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://doi.org/10.5066/P9BTZA0Q","text":"Interactive map","linkHelpText":"- Geologic Map of the Eastern Hellas Planitia Region of Mars 1:1M. Bleamaster and Crown (2011)"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ae4b07f02db6a865e","contributors":{"authors":[{"text":"Bleamaster, Leslie F. III","contributorId":35404,"corporation":false,"usgs":true,"family":"Bleamaster","given":"Leslie","suffix":"III","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":304931,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crown, David A.","contributorId":102582,"corporation":false,"usgs":true,"family":"Crown","given":"David A.","affiliations":[],"preferred":false,"id":304932,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98292,"text":"ofr20105027 - 2010 - Simulation of Streamflow, Evapotranspiration, and Groundwater Recharge in the Lower San Antonio River Watershed, South-Central Texas, 2000-2007","interactions":[],"lastModifiedDate":"2012-03-08T17:16:30","indexId":"ofr20105027","displayToPublicDate":"2010-03-27T00:00:00","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":"2010-5027","title":"Simulation of Streamflow, Evapotranspiration, and Groundwater Recharge in the Lower San Antonio River Watershed, South-Central Texas, 2000-2007","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the San Antonio River Authority, the Evergreen Underground Water Conservation District, and the Goliad County Groundwater Conservation District, configured, calibrated, and tested a watershed model for a study area consisting of about 2,150 square miles of the lower San Antonio River watershed in Bexar, Guadalupe, Wilson, Karnes, DeWitt, Goliad, Victoria, and Refugio Counties in south-central Texas. The model simulates streamflow, evapotranspiration (ET), and groundwater recharge using rainfall, potential ET, and upstream discharge data obtained from National Weather Service meteorological stations and USGS streamflow-gaging stations. Additional time-series inputs to the model include wastewater treatment-plant discharges, withdrawals for cropland irrigation, and estimated inflows from springs.\r\n\r\nModel simulations of streamflow, ET, and groundwater recharge were done for 2000-2007. Because of the complexity of the study area, the lower San Antonio River watershed was divided into four subwatersheds; separate HSPF models were developed for each subwatershed. Simulation of the overall study area involved running simulations of the three upstream models, then running the downstream model. The surficial geology was simplified as nine contiguous water-budget zones to meet model computational limitations and also to define zones for which ET, recharge, and other water-budget information would be output by the model. The model was calibrated and tested using streamflow data from 10 streamflow-gaging stations; additionally, simulated ET was compared with measured ET from a meteorological station west of the study area. The model calibration is considered very good; streamflow volumes were calibrated to within 10 percent of measured streamflow volumes. \r\n\r\nDuring 2000-2007, the estimated annual mean rainfall for the water-budget zones ranged from 33.7 to 38.5 inches per year; the estimated annual mean rainfall for the entire watershed was 34.3 inches. Using the HSPF model it was estimated that for 2000-2007, less than 10 percent of the annual mean rainfall on the study watershed exited the watershed as streamflow, whereas about 82 percent, or an average of 28.2 inches per year, exited the watershed as ET. Estimated annual mean groundwater recharge for the entire study area was 3.0 inches, or about 9 percent of annual mean rainfall. Estimated annual mean recharge was largest in water-budget zone 3, the zone where the Carrizo Sand outcrops. In water-budget zone 3, the estimated annual mean recharge was 5.1 inches or about 15 percent of annual mean rainfall. Estimated annual mean recharge was smallest in water-budget zone 6, about 1.1 inches or about 3 percent of annual mean rainfall. The Cibolo Creek subwatershed and the subwatershed of the San Antonio River upstream from Cibolo Creek had the largest and smallest basin yields, about 4.8 inches and 1.2 inches, respectively. Estimated annual ET and annual recharge generally increased with increasing annual rainfall. Also, ET was larger in zones 8 and 9, the most downstream zones in the watershed.\r\n\r\nModel limitations include possible errors related to model conceptualization and parameter variability, lack of data to quantify certain model inputs, and measurement errors. Uncertainty regarding the degree to which available rainfall data represent actual rainfall is potentially the most serious source of measurement error.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20105027","collaboration":"In cooperation with the San Antonio River Authority, the Evergreen Underground Water Conservation District, and the Goliad County Groundwater Conservation District","usgsCitation":"Lizarraga, J.S., and Ockerman, D.J., 2010, Simulation of Streamflow, Evapotranspiration, and Groundwater Recharge in the Lower San Antonio River Watershed, South-Central Texas, 2000-2007: U.S. Geological Survey Open-File Report 2010-5027, v, 41 p. , https://doi.org/10.3133/ofr20105027.","productDescription":"v, 41 p. ","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":125439,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_5027.jpg"},{"id":13545,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5027/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f8e4b07f02db5f304b","contributors":{"authors":[{"text":"Lizarraga, Joy S.","contributorId":43735,"corporation":false,"usgs":true,"family":"Lizarraga","given":"Joy","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":304920,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":304919,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98291,"text":"ofr20101050 - 2010 - Review of Oceanographic and Geochemical Data Collected in Massachusetts Bay during a Large Discharge of Total Suspended Solids from Boston's Sewage-Treatment System and Ocean Outfall in August 2002","interactions":[],"lastModifiedDate":"2017-11-05T11:54:47","indexId":"ofr20101050","displayToPublicDate":"2010-03-27T00:00:00","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":"2010-1050","title":"Review of Oceanographic and Geochemical Data Collected in Massachusetts Bay during a Large Discharge of Total Suspended Solids from Boston's Sewage-Treatment System and Ocean Outfall in August 2002","docAbstract":"During the period August 14-23, 2002, the discharge of total suspended solids (TSS) from the Massachusetts Water Resources Authority sewage-treatment plant ranged from 32 to 132 milligrams per liter, causing the monthly average discharge to exceed the limit specified in the National Pollution Discharge Elimination System permit. Time-series monitoring data collected by the U.S. Geological Survey in western Massachusetts Bay were examined to evaluate changes in environmental conditions during and after this exceedance event. The rate of sediment trapping and the concentrations of near-bottom suspended sediment measured near the outfall in western Massachusetts Bay increased during this period. Because similar increases in sediment-trapping rate were observed in the summers of 2003 and 2004, however, the increase in 2002 cannot be definitively attributed to the increased TSS discharge. Concentrations of copper and silver in trapped sediment collected 10 and 20 days following the 2002 TSS event were elevated compared to those in pre-event samples. Maximum concentrations were less than 50 percent of toxicity guidelines. Photographs of surficial bottom sediments obtained before and after the TSS event do not show sediment accumulation on the sea floor. Concentrations of silver, Clostridium perfringens, and clay in surficial bottom sediments sampled 10 weeks after the discharge event at a depositional site 3 kilometers west of the outfall were unchanged from those in samples obtained before the event. Simulation of the TSS event by using a coupled hydrodynamic-wave-sediment-transport model could enhance understanding of these observations and of the effects of the exceedance on the local marine environment.\r\n","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101050","usgsCitation":"Bothner, M., Butman, B., and Casso, M.A., 2010, Review of Oceanographic and Geochemical Data Collected in Massachusetts Bay during a Large Discharge of Total Suspended Solids from Boston's Sewage-Treatment System and Ocean Outfall in August 2002: U.S. Geological Survey Open-File Report 2010-1050, iv, 11 p. , https://doi.org/10.3133/ofr20101050.","productDescription":"iv, 11 p. ","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2002-08-14","temporalEnd":"2002-08-23","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":125440,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1050.jpg"},{"id":13544,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1050/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.05,42.233333333333334 ], [ -71.05,42.5 ], [ -70.73333333333333,42.5 ], [ -70.73333333333333,42.233333333333334 ], [ -71.05,42.233333333333334 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a17e4b07f02db6041fa","contributors":{"authors":[{"text":"Bothner, Michael H. mbothner@usgs.gov","contributorId":139855,"corporation":false,"usgs":true,"family":"Bothner","given":"Michael H.","email":"mbothner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":304918,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Butman, Bradford 0000-0002-4174-2073 bbutman@usgs.gov","orcid":"https://orcid.org/0000-0002-4174-2073","contributorId":943,"corporation":false,"usgs":true,"family":"Butman","given":"Bradford","email":"bbutman@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":304916,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Casso, Michael A. mcasso@usgs.gov","contributorId":13306,"corporation":false,"usgs":true,"family":"Casso","given":"Michael","email":"mcasso@usgs.gov","middleInitial":"A.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":304917,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}