{"pageNumber":"148","pageRowStart":"3675","pageSize":"25","recordCount":36989,"records":[{"id":85857,"text":"ofr20081240 - 2008 - Landscape Features Shape Genetic Structure in Threatened Northern Spotted Owls","interactions":[],"lastModifiedDate":"2012-02-02T00:14:32","indexId":"ofr20081240","displayToPublicDate":"2008-07-23T00:00:00","publicationYear":"2008","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":"2008-1240","title":"Landscape Features Shape Genetic Structure in Threatened Northern Spotted Owls","docAbstract":"Several recent studies have shown that landscape features can strongly affect spatial patterns of gene flow and genetic variation. Understanding landscape effects on genetic variation is important in conservation for defining management units and understanding movement patterns. The landscape may have little effect on gene flow, however, in highly mobile species such as birds. We tested for genetic breaks associated with landscape features in the northern spotted owl (Strix occidentalis caurina), a threatened subspecies associated with old forests in the U.S. Pacific Northwest and extreme southwestern Canada. We found little evidence for distinct genetic breaks in northern spotted owls using a large microsatellite dataset (352 individuals from across the subspecies' range genotyped at 10 loci). Nonetheless, dry low-elevation valleys and the Cascade and Olympic Mountains restrict gene flow, while the Oregon Coast Range facilitates it. The wide Columbia River is not a barrier to gene flow. In addition, inter-individual genetic distance and latitude were negatively related, likely reflecting northward colonization following Pleistocene glacial recession. Our study shows that landscape features may play an important role in shaping patterns of genetic variation in highly vagile taxa such as birds.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20081240","usgsCitation":"Funk, W.C., Forsman, E.D., Mullins, T., and Haig, S.M., 2008, Landscape Features Shape Genetic Structure in Threatened Northern Spotted Owls: U.S. Geological Survey Open-File Report 2008-1240, iv, 13 p., https://doi.org/10.3133/ofr20081240.","productDescription":"iv, 13 p.","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":195038,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11599,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1240/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b20e4b07f02db6abb06","contributors":{"authors":[{"text":"Funk, W. Chris 0000-0002-9254-6718","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":97589,"corporation":false,"usgs":false,"family":"Funk","given":"W.","email":"","middleInitial":"Chris","affiliations":[{"id":6998,"text":"Department of Biology, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":296592,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Forsman, Eric D.","contributorId":96792,"corporation":false,"usgs":false,"family":"Forsman","given":"Eric","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":296591,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mullins, Thomas D.","contributorId":12819,"corporation":false,"usgs":true,"family":"Mullins","given":"Thomas D.","affiliations":[],"preferred":false,"id":296590,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haig, Susan M. 0000-0002-6616-7589 susan_haig@usgs.gov","orcid":"https://orcid.org/0000-0002-6616-7589","contributorId":719,"corporation":false,"usgs":true,"family":"Haig","given":"Susan","email":"susan_haig@usgs.gov","middleInitial":"M.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":296589,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":85861,"text":"ofr20081163 - 2008 - Data to support statistical modeling of instream nutrient load based on watershed attributes, southeastern United States, 2002","interactions":[],"lastModifiedDate":"2018-04-02T16:32:41","indexId":"ofr20081163","displayToPublicDate":"2008-07-23T00:00:00","publicationYear":"2008","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":"2008-1163","title":"Data to support statistical modeling of instream nutrient load based on watershed attributes, southeastern United States, 2002","docAbstract":"This report presents and describes the digital datasets that characterize nutrient source inputs, environmental characteristics, and instream nutrient loads for the purpose of calibrating and applying a nutrient water-quality model for the southeastern United States for 2002. The model area includes all of the river basins draining to the south Atlantic and the eastern Gulf of Mexico, as well as the Tennessee River basin (referred to collectively as the SAGT area). The water-quality model SPARROW (SPAtially-Referenced Regression On Watershed attributes), developed by the U.S. Geological Survey, uses a regression equation to describe the relation between watershed attributes (predictors) and measured instream loads (response). Watershed attributes that are considered to describe nutrient input conditions and are tested in the SPARROW model for the SAGT area as source variables include atmospheric deposition, fertilizer application to farmland, manure from livestock production, permitted wastewater discharge, and land cover. Watershed and channel attributes that are considered to affect rates of nutrient transport from land to water and are tested in the SAGT SPARROW model as nutrient-transport variables include characteristics of soil, landform, climate, reach time of travel, and reservoir hydraulic loading. Datasets with estimates of each of these attributes for each individual reach or catchment in the reach-catchment network are presented in this report, along with descriptions of methods used to produce them. \n\nMeasurements of nutrient water quality at stream monitoring sites from a combination of monitoring programs were used to develop observations of the response variable - mean annual nitrogen or phosphorus load - in the SPARROW regression equation. Instream load of nitrogen and phosphorus was estimated using bias-corrected log-linear regression models using the program Fluxmaster, which provides temporally detrended estimates of long-term mean load well-suited for spatial comparisons. The detrended, or normalized, estimates of load are useful for regional-scale assessments but should be used with caution for local-scale interpretations, for which use of loads estimated for actual time periods and employing more detailed regression analysis is suggested. The mean value of the nitrogen yield estimates, normalized to 2002, for 637 stations in the SAGT area is 4.7 kilograms per hectare; the mean value of nitrogen flow-weighted mean concentration is 1.2 milligrams per liter. The mean value of the phosphorus yield estimates, normalized to 2002, for the 747 stations in the SAGT area is 0.66 kilogram per hectare; the mean value of phosphorus flow-weighted mean concentration is 0.17 milligram per liter.\n\nNutrient conditions measured in streams affected by substantial influx or outflux of water and nutrient mass across surface-water basin divides do not reflect nutrient source and transport conditions in the topographic watershed; therefore, inclusion of such streams in the SPARROW modeling approach is considered inappropriate. River basins identified with this concern include south Florida (where surface-water flow paths have been extensively altered) and the Oklawaha, Crystal, Lower Sante Fe, Lower Suwanee, St. Marks, and Chipola River basins in central and northern Florida (where flow exchange with the underlying regional aquifer may represent substantial nitrogen influx to and outflux from the surface-water basins).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20081163","usgsCitation":"Hoos, A.B., Terziotti, S., McMahon, G., Savvas, K., Tighe, K., and Alkons-Wolinsky, R., 2008, Data to support statistical modeling of instream nutrient load based on watershed attributes, southeastern United States, 2002: U.S. Geological Survey Open-File Report 2008-1163, Report: viii, 51 p.; Data (ZIP), https://doi.org/10.3133/ofr20081163.","productDescription":"Report: viii, 51 p.; Data (ZIP)","additionalOnlineFiles":"Y","costCenters":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"links":[{"id":195273,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11603,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1163/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92,25 ], [ -92,40 ], [ -75,40 ], [ -75,25 ], [ -92,25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac5e4b07f02db679c48","contributors":{"authors":[{"text":"Hoos, Anne B. abhoos@usgs.gov","contributorId":2236,"corporation":false,"usgs":true,"family":"Hoos","given":"Anne","email":"abhoos@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":296602,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Terziotti, Silvia 0000-0003-3559-5844 seterzio@usgs.gov","orcid":"https://orcid.org/0000-0003-3559-5844","contributorId":1613,"corporation":false,"usgs":true,"family":"Terziotti","given":"Silvia","email":"seterzio@usgs.gov","affiliations":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":296601,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McMahon, Gerard 0000-0001-7675-777X gmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7675-777X","contributorId":191488,"corporation":false,"usgs":true,"family":"McMahon","given":"Gerard","email":"gmcmahon@usgs.gov","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":296600,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Savvas, Katerina","contributorId":107390,"corporation":false,"usgs":true,"family":"Savvas","given":"Katerina","email":"","affiliations":[],"preferred":false,"id":296605,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tighe, Kirsten C.","contributorId":99930,"corporation":false,"usgs":true,"family":"Tighe","given":"Kirsten C.","affiliations":[],"preferred":false,"id":296604,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Alkons-Wolinsky, Ruth","contributorId":55921,"corporation":false,"usgs":true,"family":"Alkons-Wolinsky","given":"Ruth","email":"","affiliations":[],"preferred":false,"id":296603,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":85862,"text":"ofr20061260D - 2008 - Surficial Geologic Map of the Worcester North-Oxford- Wrentham-Attleboro Nine-Quadrangle Area in South- Central Massachusetts","interactions":[],"lastModifiedDate":"2012-02-10T00:11:46","indexId":"ofr20061260D","displayToPublicDate":"2008-07-23T00:00:00","publicationYear":"2008","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":"2006-1260","chapter":"D","title":"Surficial Geologic Map of the Worcester North-Oxford- Wrentham-Attleboro Nine-Quadrangle Area in South- Central Massachusetts","docAbstract":"The surficial geologic map layer shows the distribution of nonlithified earth materials at land surface in an area of nine 7.5-minute quadrangles (417 mi2 total) in south-central Massachusetts (fig. 1). Across Massachusetts, these materials range from a few feet to more than 500 ft in thickness. They overlie bedrock, which crops out in upland hills and in resistant ledges in valley areas. The geologic map differentiates surficial materials of Quaternary age on the basis of their lithologic characteristics (such as grain size and sedimentary structures), constructional geomorphic features, stratigraphic relationships, and age. Surficial materials also are known in engineering classifications as unconsolidated soils, which include coarse-grained soils, fine-grained soils, or organic fine-grained soils. Surficial materials underlie and are the parent materials of modern pedogenic soils, which have developed in them at the land surface. Surficial earth materials significantly affect human use of the land, and an accurate description of their distribution is particularly important for water resources, construction aggregate resources, earth-surface hazards assessments, and land-use decisions.\r\nThe mapped distribution of surficial materials that lie between the land surface and the bedrock surface is based on detailed geologic mapping of 7.5-minute topographic quadrangles, produced as part of an earlier (1938-1982) cooperative statewide mapping program between the\r\nU.S. Geological Survey and the Massachusetts Department of Public Works (now Massachusetts Highway Department) (Page, 1967; Stone, 1982). Each published geologic map presents a detailed description of local geologic map units, the genesis of the deposits, and age correlations among units. Previously unpublished field compilation maps exist on paper or mylar sheets and these have been digitally rendered for the present map compilation. Regional summaries based on the Massachusetts surficial geologic mapping studies discuss the ages of multiple glaciations, the nature of glaciofluvial, glaciolacustrine, and glaciomarine deposits, and the processes of ice advance and retreat across Massachusetts (Koteff and Pessl, 1981; papers in Larson and Stone, 1982; Oldale and Barlow, 1986; Stone and Borns, 1986; Warren and Stone, 1986).\r\nThis compilation of surficial geologic materials is an interim product that defines the areas of exposed bedrock and the boundaries between glacial till, glacial stratified deposits, and overlying postglacial deposits. This work is part of a comprehensive study to produce a statewide digital map of the surficial geology at a 1:24,000-scale level of accuracy. This surficial geologic map layer covering nine quadrangles revises previous digital surficial geologic maps (Stone and others, 1993; MassGIS, 1999) that were compiled on base maps at regional scales of 1:125,000 and 1:250,000. The purpose of this study is to provide fundamental geologic data for the evaluation of natural resources, hazards, and land information within the Commonwealth of Massachusetts.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20061260D","isbn":"9781411320499","collaboration":"Prepared in cooperation with the Commonwealth of Massachusetts, Office of the State Geologist and Executive Office of Energy and Environmental Affairs","usgsCitation":"Stone, B.D., Stone, J.R., and DiGiacomo-Cohen, M.L., 2008, Surficial Geologic Map of the Worcester North-Oxford- Wrentham-Attleboro Nine-Quadrangle Area in South- Central Massachusetts: U.S. Geological Survey Open-File Report 2006-1260, Report: iii, 13 p.; Maps; GIS Files; Metadata; TIFs; ReadMe, https://doi.org/10.3133/ofr20061260D.","productDescription":"Report: iii, 13 p.; Maps; GIS Files; Metadata; TIFs; ReadMe","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":195813,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11604,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1260/D/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.5,41.25 ], [ -73.5,42.916666666666664 ], [ -69.91666666666667,42.916666666666664 ], [ -69.91666666666667,41.25 ], [ -73.5,41.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae3e4b07f02db68956f","contributors":{"authors":[{"text":"Stone, Byron D. 0000-0001-6092-0798 bdstone@usgs.gov","orcid":"https://orcid.org/0000-0001-6092-0798","contributorId":1702,"corporation":false,"usgs":true,"family":"Stone","given":"Byron","email":"bdstone@usgs.gov","middleInitial":"D.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":296607,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stone, Janet Radway jrstone@usgs.gov","contributorId":1695,"corporation":false,"usgs":true,"family":"Stone","given":"Janet","email":"jrstone@usgs.gov","middleInitial":"Radway","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":296606,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DiGiacomo-Cohen, Mary L.","contributorId":45253,"corporation":false,"usgs":true,"family":"DiGiacomo-Cohen","given":"Mary","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":296608,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":85853,"text":"ofr20081127 - 2008 - Influence of the Houma Navigation Canal on Salinity Patterns and Landscape Configuration in Coastal Louisiana","interactions":[],"lastModifiedDate":"2012-02-02T00:14:26","indexId":"ofr20081127","displayToPublicDate":"2008-07-23T00:00:00","publicationYear":"2008","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":"2008-1127","title":"Influence of the Houma Navigation Canal on Salinity Patterns and Landscape Configuration in Coastal Louisiana","docAbstract":"Coastal Louisiana is a dynamic and ever changing landscape. From 1956 to 2004, over 297,000 ha of Louisiana's coastal wetlands were lost because of the effects of natural and human-induced activities. Studies show that, in 2005, Hurricanes Katrina and Rita transformed over 56,200 ha of wetlands to open water in various parts of coastal Louisiana. Besides the catastrophic hurricanes, factors such as subsidence, sea-level rise, freshwater and sediment deprivation, saltwater intrusion, the dredging of oil and gas canals, navigation canals, shoreline erosion, and herbivory are all contributors to wetland loss in Louisiana. Various scientific literatures have well described the direct impacts associated with an immediate physical conversion of habitat in coastal Louisiana; however, the indirect impacts that are subtle and operate over longer time horizons (such as salinity intrusion) have been difficult to discern. In this report, long-term influences on salinity patterns and landscape configuration are evaluated for pre- and postconstruction periods of the Houma Navigation Canal (HNC), which is located in the coastal region of southeastern Louisiana.\r\n\r\nAnalysis of daily and hourly salinity data from long-term data collection stations within the areas surrounding the HNC indicated that there were no obvious patterns in increasing salinity levels following the completion of the canal, except for the immediate increase in salinity spikes that occurred toward the completion of its construction in 1961. Increases in salinity spikes were also observed during a severe drought in 1999-2000. Data from Bayou Grand Caillou at Dulac, however, show a longer term trend of increasing salinity levels, which is similar to the pattern observed at the Houma Water Treatment Plant. A potential explanation for these patterns is based on the dredging history of the HNC, where dates of maintenance dredging correspond fairly closely to the salinity peaks in Bayou Grand Caillou and the canal. It appears that the dredging events opened up a deeper route from the canal to Crozier and into Grand Bayou Caillou, but it also may be a result of the general breakup of the marsh in the adjacent area, which resulted in greater exchange of bay water and subsequently higher salinity levels. Although the available salinity data were insufficient to conduct statistical correlations, there was close agreement between salinity changes and specific dredging events of the HNC.\r\n\r\nA procedure for analyzing marsh landscapes, which utilizes the FRAGSTATS landscape statistical application and a two-part marsh classification system, was developed as a means of determining the connectivity and configuration of marsh and water patches within the study area. Individual landscape metrics were used to determine the percentage and rate of land change and the shifts in density, shape, and cohesiveness of water within the marsh. Wetland loss rates for coastal Louisiana and Terrebonne basin were compared to the long- and short-term loss rates of the Houma Navigation Canal study area that were quantified by using the FRAGSTATS landscape analysis method. These results suggest that the canal study area was losing land at a significantly faster rate than both the marshes of coastal Louisiana (over all periods) and the other highly degraded neighboring marshes within Terrebonne basin. Overall, 37 percent (17,625 ha) of the project area marsh was lost between 1958 and 1998.\r\nAs a means of quantifying the distance and degree of influence that the HNC had on marsh degradation, a 3-km interval buffer array and comparable years of vegetation data were used to describe the changes in primary metric values across the three project dates (1958, 1968/69, and 1998). The patterns across landscape metrics varied, and it was difficult to discern direct relationships based on proximity to the canal. Even though the canal may have an influence on marsh degradation, these analyses show that the degree and d","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20081127","collaboration":"Prepared in cooperation with Minerals Management Service, Gulf of Mexico Outer Continental Shelf Region","usgsCitation":"Steyer, G.D., Sasser, C., Evers, E., Swenson, E., Suir, G., and Sapkota, S., 2008, Influence of the Houma Navigation Canal on Salinity Patterns and Landscape Configuration in Coastal Louisiana (Version 1.0): U.S. Geological Survey Open-File Report 2008-1127, viii, 190 p., https://doi.org/10.3133/ofr20081127.","productDescription":"viii, 190 p.","onlineOnly":"Y","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":195812,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11595,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1127/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab0e4b07f02db66db4e","contributors":{"authors":[{"text":"Steyer, Gregory D. 0000-0001-7231-0110 steyerg@usgs.gov","orcid":"https://orcid.org/0000-0001-7231-0110","contributorId":2856,"corporation":false,"usgs":true,"family":"Steyer","given":"Gregory","email":"steyerg@usgs.gov","middleInitial":"D.","affiliations":[{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true}],"preferred":true,"id":296568,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sasser, Charles","contributorId":93999,"corporation":false,"usgs":true,"family":"Sasser","given":"Charles","affiliations":[],"preferred":false,"id":296573,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Evers, Elaine","contributorId":80775,"corporation":false,"usgs":true,"family":"Evers","given":"Elaine","email":"","affiliations":[],"preferred":false,"id":296572,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Swenson, Erick","contributorId":67617,"corporation":false,"usgs":true,"family":"Swenson","given":"Erick","affiliations":[],"preferred":false,"id":296571,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Suir, Glenn","contributorId":56331,"corporation":false,"usgs":true,"family":"Suir","given":"Glenn","affiliations":[],"preferred":false,"id":296570,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sapkota, Sijan sapkotas@usgs.gov","contributorId":2995,"corporation":false,"usgs":true,"family":"Sapkota","given":"Sijan","email":"sapkotas@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":296569,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":85850,"text":"ofr20081133 - 2008 - Simulation of contributing areas and surface-water leakage to potential replacement wells near the community of New Post, Sawyer County, Wisconsin, by means of a two-dimensional ground-water flow model","interactions":[],"lastModifiedDate":"2022-06-06T19:36:18.317449","indexId":"ofr20081133","displayToPublicDate":"2008-07-18T00:00:00","publicationYear":"2008","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":"2008-1133","title":"Simulation of contributing areas and surface-water leakage to potential replacement wells near the community of New Post, Sawyer County, Wisconsin, by means of a two-dimensional ground-water flow model","docAbstract":"A two-dimensional, steady-state ground-water-flow model of the shallow ground-water-flow system near the community of New Post, Sawyer County, Wis., was refined from an existing model of the area. Hydraulic-conductivity and recharge values were not changed from the existing model for the scenario simulations described in this report. Rather, the model was refined by adding detail along the Chippewa Flowage and then was used to simulate contributing areas for three potential replacement wells pumping 30,000 gallons per day. The model also was used to simulate potential surface-water leakage out of the Chippewa Flowage captured by replacement-well pumping. A range in resistance to vertical ground-water flow was simulated along the Chippewa Flowage for each potential replacement-well location to bound the potential effects of representing three-dimensional flow with a two-dimensional model. Results indicate that pumping from a replacement well sited about 130 feet from the Chippewa Flowage could capture as much as 39 percent of the total pumping from the flowage. Pumping from either of two potential replacement wells sited at least 400 feet from the Chippewa Flowage did not induce surface-water leakage out of the flowage regardless of the resistance applied along the flowage for simulations described in this report.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20081133","collaboration":"Prepared in cooperation with the Lac Courte Oreilles Band of Lake Superior Chippewa","usgsCitation":"Juckem, P.F., and Hunt, R.J., 2008, Simulation of contributing areas and surface-water leakage to potential replacement wells near the community of New Post, Sawyer County, Wisconsin, by means of a two-dimensional ground-water flow model: U.S. Geological Survey Open-File Report 2008-1133, iv, 12 p., https://doi.org/10.3133/ofr20081133.","productDescription":"iv, 12 p.","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":401805,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_84078.htm"},{"id":195792,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11591,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1133/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Wisconsin","county":"Sawyer County","city":"New Post","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.20918273925781,\n              45.8905458288619\n            ],\n            [\n              -91.17339134216309,\n              45.8905458288619\n            ],\n            [\n              -91.17339134216309,\n              45.90709157751516\n            ],\n            [\n              -91.20918273925781,\n              45.90709157751516\n            ],\n            [\n              -91.20918273925781,\n              45.8905458288619\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49afe4b07f02db5c8473","contributors":{"authors":[{"text":"Juckem, Paul F. 0000-0002-3613-1761 pfjuckem@usgs.gov","orcid":"https://orcid.org/0000-0002-3613-1761","contributorId":1905,"corporation":false,"usgs":true,"family":"Juckem","given":"Paul","email":"pfjuckem@usgs.gov","middleInitial":"F.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":296562,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":296561,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":85844,"text":"ofr20081169 - 2008 - Digital elevation models of the Pre-Eruption 2000 Crater and 2004-07 Dome-Building Eruption at Mount St. Helens, Washington, USA","interactions":[],"lastModifiedDate":"2019-03-25T10:01:12","indexId":"ofr20081169","displayToPublicDate":"2008-07-17T00:00:00","publicationYear":"2008","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":"2008-1169","title":"Digital elevation models of the Pre-Eruption 2000 Crater and 2004-07 Dome-Building Eruption at Mount St. Helens, Washington, USA","docAbstract":"<p><span>Presented in this report are 27 digital elevation model (DEM) datasets for the crater area of Mount St. Helens. These datasets include pre-eruption baseline data collected in 2000, incremental model subsets collected during the 2004–07 dome building eruption, and associated shaded-relief image datasets. Each dataset was collected photogrammetrically with digital softcopy methods employing a combination of manual collection and iterative compilation of x,y,z coordinate triplets utilizing autocorrelation techniques. DEM data points collected using autocorrelation methods were rigorously edited in stereo and manually corrected to ensure conformity with the ground surface. Data were first collected as a triangulated irregular network (TIN) then interpolated to a grid format. DEM data are based on aerotriangulated photogrammetric solutions for aerial photograph strips flown at a nominal scale of 1:12,000 using a combination of surveyed ground control and photograph-identified control points. The 2000 DEM is based on aerotriangulation of four strips totaling 31 photographs. Subsequent DEMs collected during the course of the eruption are based on aerotriangulation of single aerial photograph strips consisting of between three and seven 1:12,000-scale photographs (two to six stereo pairs). Most datasets were based on three or four stereo pairs. Photogrammetric errors associated with each dataset are presented along with ground control used in the photogrammetric aerotriangulation. The temporal increase in area of deformation in the crater as a result of dome growth, deformation, and translation of glacial ice resulted in continual adoption of new ground control points and abandonment of others during the course of the eruption. Additionally, seasonal snow cover precluded the consistent use of some ground control points.</span></p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20081169","usgsCitation":"Messerich, J.A., Schilling, S.P., and Thompson, R.A., 2008, Digital elevation models of the Pre-Eruption 2000 Crater and 2004-07 Dome-Building Eruption at Mount St. Helens, Washington, USA (Version 1.0): U.S. Geological Survey Open-File Report 2008-1169, Report: 4 p.; Downloads Directory, https://doi.org/10.3133/ofr20081169.","productDescription":"Report: 4 p.; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2004-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":194984,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11583,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1169/","text":"Index Page","linkFileType":{"id":5,"text":"html"}},{"id":362267,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2008/1169/downloads/OF08-1169_508.pdf","text":"Report","size":"1.7 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":362268,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2008/1169/downloads/","text":"Downloads Directory"}],"scale":"12000","country":"United States","state":"Washington","otherGeospatial":"Mount St. Helens","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.35,\n              46.0833\n            ],\n            [\n              -122,\n              46.0833\n            ],\n            [\n              -122,\n              46.3\n            ],\n            [\n              -122.35,\n              46.3\n            ],\n            [\n              -122.35,\n              46.0833\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9ae4b07f02db65d615","contributors":{"authors":[{"text":"Messerich, James A. jmesser@usgs.gov","contributorId":2535,"corporation":false,"usgs":true,"family":"Messerich","given":"James","email":"jmesser@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":296547,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schilling, Steve P. sschilli@usgs.gov","contributorId":634,"corporation":false,"usgs":true,"family":"Schilling","given":"Steve","email":"sschilli@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":296546,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Ren A. 0000-0002-3044-3043 rathomps@usgs.gov","orcid":"https://orcid.org/0000-0002-3044-3043","contributorId":1265,"corporation":false,"usgs":true,"family":"Thompson","given":"Ren","email":"rathomps@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":296548,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":85845,"text":"ofr20081224 - 2008 - Vegetation Types in Coastal Louisiana in 2007","interactions":[],"lastModifiedDate":"2013-01-04T14:15:45","indexId":"ofr20081224","displayToPublicDate":"2008-07-17T00:00:00","publicationYear":"2008","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":"2008-1224","title":"Vegetation Types in Coastal Louisiana in 2007","docAbstract":"During the summer and fall of 2007, the U.S. Geological Survey, the Louisiana State University Agricultural Center, and the Louisiana Department of Wildlife and Fisheries Fur and Refuge Division jointly completed an aerial survey to collect data on 2007 vegetation types in coastal Louisiana. The current map presents the data collected in this effort. The 2007 aerial survey was conducted by using techniques developed over the last thirty years while conducting similar vegetation surveys.\n     Transects flown were oriented in a north-south direction and spaced 1.87 mi (3 km) apart and covered coastal marshes from the Texas State line to the Mississippi State line and from the northern extent of fresh marshes to the southern end of saline (saltwater) marshes on the beaches of the Gulf of Mexico or of coastal bays. Navigation along these transects and to each sampling site was accomplished by using Global Positioning System (GPS) technology and geographic information system (GIS) software. As the surveyors reached each sampling station, observed areas of marsh were assigned as fresh, intermediate, brackish, or saline (saltwater) types, and dominant plant species were listed and ranked according to abundance. Delineations of marsh boundaries usually followed natural levees, bayous, or other features that impede or restrict water flow.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20081224","collaboration":"Prepared in cooperation with the Louisiana State University Agricultural Center and the Louisiana Department of Wildlife and Fisheries","usgsCitation":"Sasser, C.E., Visser, J.M., Mouton, E., Linscombe, J., and Hartley, S.B., 2008, Vegetation Types in Coastal Louisiana in 2007 (Version 1.0): U.S. Geological Survey Open-File Report 2008-1224, Map Sheet: 41 x 29 inches, https://doi.org/10.3133/ofr20081224.","productDescription":"Map Sheet: 41 x 29 inches","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2007-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":190816,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11584,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1224/","linkFileType":{"id":5,"text":"html"}},{"id":265273,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2008/1224/pdf/OFR2008-1224.pdf"}],"scale":"550000","country":"United States","state":"Louisiana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.04,28.9 ], [ -94.04,31.7 ], [ -88.81,31.7 ], [ -88.81,28.9 ], [ -94.04,28.9 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a14e4b07f02db6027aa","contributors":{"authors":[{"text":"Sasser, Charles E.","contributorId":86858,"corporation":false,"usgs":true,"family":"Sasser","given":"Charles","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":296552,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Visser, Jenneke M.","contributorId":90397,"corporation":false,"usgs":true,"family":"Visser","given":"Jenneke","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":296553,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mouton, Edmond","contributorId":46634,"corporation":false,"usgs":true,"family":"Mouton","given":"Edmond","email":"","affiliations":[],"preferred":false,"id":296551,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Linscombe, Jeb","contributorId":17704,"corporation":false,"usgs":true,"family":"Linscombe","given":"Jeb","email":"","affiliations":[],"preferred":false,"id":296549,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hartley, Steve B. 0000-0003-1380-2769","orcid":"https://orcid.org/0000-0003-1380-2769","contributorId":18065,"corporation":false,"usgs":true,"family":"Hartley","given":"Steve","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":296550,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":85843,"text":"ofr20081231 - 2008 - Reconnaissance of persistent and emerging contaminants in the Shenandoah and James River Basins, Virginia, during Spring of 2007","interactions":[],"lastModifiedDate":"2019-08-20T12:28:02","indexId":"ofr20081231","displayToPublicDate":"2008-07-16T00:00:00","publicationYear":"2008","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":"2008-1231","title":"Reconnaissance of persistent and emerging contaminants in the Shenandoah and James River Basins, Virginia, during Spring of 2007","docAbstract":"<p><span>Fish exhibiting external lesions, incidences of intersex, and death have recently been observed in the Shenandoah and James River Basins. These basins are characterized by widespread agriculture (intensive in some areas), several major industrial discharges, numerous sewage treatment plant discharges, and urban, transportation, and residential growth that has increased rapidly in recent years. Nine locations in the Shenandoah River Basin, Virginia, and two in the James River Basin, Virginia, were selected for study in an attempt to identify chemicals that may have contributed to the declining fish health. Two passive sampling devices, semipermeable membrane devices (SPMDs) and polar organic chemical integrative samplers (POCIS), were deployed during the spring and early summer of 2007 to measure select organic contaminants to which fish may have been exposed. This study determined that concentrations of persistent hydrophobic contaminants, such as polycyclic aromatic hydrocarbons (&lt;17,000 picograms per liter), legacy pesticides (&lt;510 picograms per liter), and polychlorinated biphenyls (&lt;1,600 picograms per liter) were generally low and indicative of a largely agricultural area. Chlorpyrifos, endosulfan, and lindane were the most commonly detected chlorinated pesticides. Atrazine, which was detected at concentrations much greater than other pesticides associated with agricultural use, ranged from &lt;0.18 to 430 nanograms per liter during the deployment period. Few chemicals characteristic of wastewater treatment plant effluent or septic tank discharges were detected. The fragrance components, galaxolide, indole, and tonalide, were the predominant waste indicator chemicals detected. Caffeine, the caffeine metabolite 1,7-dimethylxanthine, the nicotine metabolite cotinine, and the prescription pharmaceuticals carbamazepine, venlafaxine, and trimethoprim were detected at several sites. Natural and synthetic hormones were detected at a few sites with 17α-ethynylestradiol concentrations esimated up to 8.1 nanograms per liter. Screening of the POCIS extracts for estrogenic chemicals by using the yeast estrogen screen revealed estrogenicity similar to levels reported for rural areas with minor effect from wastewater effluents.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20081231","collaboration":"Prepared in cooperation with the Virginia Department of Environmental Quality","usgsCitation":"Alvarez, D.A., Cranor, W., Perkins, S.D., Schroeder, V., Werner, S., Furlong, E., Kain, D., and Brent, R., 2008, Reconnaissance of persistent and emerging contaminants in the Shenandoah and James River Basins, Virginia, during Spring of 2007: U.S. Geological Survey Open-File Report 2008-1231, vi, 20 p., https://doi.org/10.3133/ofr20081231.","productDescription":"vi, 20 p.","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":190992,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11582,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1231/","linkFileType":{"id":5,"text":"html"}},{"id":352929,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2008/1231/pdf/OF2008-1231.pdf","text":"Report","size":"1 MB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Virginia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84,36 ], [ -84,40 ], [ -75,40 ], [ -75,36 ], [ -84,36 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a6ce4b07f02db63e844","contributors":{"authors":[{"text":"Alvarez, David A. 0000-0002-6918-2709 dalvarez@usgs.gov","orcid":"https://orcid.org/0000-0002-6918-2709","contributorId":1369,"corporation":false,"usgs":true,"family":"Alvarez","given":"David","email":"dalvarez@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":296538,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cranor, Walter","contributorId":73285,"corporation":false,"usgs":true,"family":"Cranor","given":"Walter","affiliations":[],"preferred":false,"id":296543,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perkins, Stephanie D. sperkins@usgs.gov","contributorId":2745,"corporation":false,"usgs":true,"family":"Perkins","given":"Stephanie","email":"sperkins@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":296541,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schroeder, Vickie vschroeder@usgs.gov","contributorId":2746,"corporation":false,"usgs":true,"family":"Schroeder","given":"Vickie","email":"vschroeder@usgs.gov","affiliations":[],"preferred":true,"id":296539,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Werner, Stephen","contributorId":92357,"corporation":false,"usgs":true,"family":"Werner","given":"Stephen","affiliations":[],"preferred":false,"id":296544,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Furlong, Edward","contributorId":62689,"corporation":false,"usgs":true,"family":"Furlong","given":"Edward","affiliations":[],"preferred":false,"id":296542,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kain, Donald","contributorId":10881,"corporation":false,"usgs":true,"family":"Kain","given":"Donald","email":"","affiliations":[],"preferred":false,"id":296540,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brent, Robert","contributorId":104161,"corporation":false,"usgs":true,"family":"Brent","given":"Robert","affiliations":[],"preferred":false,"id":296545,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":85840,"text":"ofr20081204 - 2008 - Water-quality data at amphibian research sites in Maryland, Washington, D.C., and Virginia, 2005-2007","interactions":[],"lastModifiedDate":"2019-09-19T09:40:36","indexId":"ofr20081204","displayToPublicDate":"2008-07-15T00:00:00","publicationYear":"2008","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":"2008-1204","title":"Water-quality data at amphibian research sites in Maryland, Washington, D.C., and Virginia, 2005-2007","docAbstract":"Data on the chemical composition of water were collected at least once from 47 amphibian research sites in Maryland, Washington, D.C., and Virginia, from 2005 through 2007. One hundred twenty-five water samples were collected from vernal pools and streams and analyzed as part of long-term monitoring projects of the U.S. Geological Survey Amphibian Research and Monitoring Initiative in the Northeast Region. Field measurements of water temperature, specific conductance, and pH were made. Laboratory analyses of the water samples included acid-neutralizing capacity, total Kjeldahl nitrogen (ammonium plus organic nitrogen), nitrite plus nitrate, total nitrogen, and total phosphorus concentrations. Field and laboratory analytical results of water samples and quality-assurance data are presented. ","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20081204","collaboration":"Prepared in cooperation with U.S. Fish and Wildlife Service (Patuxent Research Refuge), U.S. Department of Agriculture (Henry A. Wallace Beltsville Agricultural Research Center), and the National Park Service (Chesapeake and Ohio Historical Park, Prince William Forest Park, Rock Creek Park, Shenandoah National Park)","usgsCitation":"Rice, K.C., 2008, Water-quality data at amphibian research sites in Maryland, Washington, D.C., and Virginia, 2005-2007: U.S. Geological Survey Open-File Report 2008-1204, iv, 11 p., https://doi.org/10.3133/ofr20081204.","productDescription":"iv, 11 p.","numberOfPages":"20","temporalStart":"2005-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":614,"text":"Virginia Water Science 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,{"id":85837,"text":"ofr20081004 - 2008 - Sea-floor character and sedimentary processes in the vicinity of Woods Hole, Massachusetts","interactions":[],"lastModifiedDate":"2025-09-10T16:15:02.360401","indexId":"ofr20081004","displayToPublicDate":"2008-07-15T00:00:00","publicationYear":"2008","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":"2008-1004","title":"Sea-floor character and sedimentary processes in the vicinity of Woods Hole, Massachusetts","docAbstract":"Continuous-coverage multibeam bathymetric models and sidescan-sonar imagery have been verified with high-resolution seismic-reflection profiles, sediment sampling, and bottom photography. Together these data layers provide detailed base maps that yield topographic, compositional, and environmental perspectives of the sea floor in the vicinity of Woods Hole, an important harbor and major passage between the Elizabeth Islands and Cape Cod, Massachusetts. Tidally dominated high-energy environments within Woods Hole have prevented deposition of Holocene marine sediments, exposed underlying glacial drift of the Buzzards Bay moraine, and winnowed finer grained sediments, leaving lag deposits of boulders and gravel. These conditions have also enlarged and preserved depressions in the moraine surface that were originally kettle holes and formed ebb-tidal deltas at the entrances to passages. Fields of transverse and barchanoid sand waves dominate across the southern part of the study area in Vineyard Sound, where benthic environments are characterized by processes associated with coarse-bedload transport. Transverse sand waves dominate near shoals where sediment supply is greater and have asymmetries that indicate that the shoals are shaped and maintained by clockwise gyres of net sediment transport. Barchanoid sand waves, which are most common where Holocene sediments are thinner, commonly align into elongate fields that have smaller isolated waves concentrated at the eastern ends and that progressively widen and have waveforms that increase in amplitude, wavelength, and complexity westward. The northern, protected parts of the Little and Inner Harbors are characterized by muddy sediment and processes associated with deposition. A pockmark field in Little Harbor and the muddy, organic-rich sediments that form a scarp along the edge of Parker Flat are evidence for the presence of submerged marsh deposits formed during the Holocene rise in sea level.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20081004","usgsCitation":"Poppe, L., McMullen, K.Y., Foster, D.S., Blackwood, D.S., Williams, S.J., Ackerman, S.D., Barnum, S.R., and Brennan, R.T., 2008, Sea-floor character and sedimentary processes in the vicinity of Woods Hole, Massachusetts: U.S. Geological Survey Open-File Report 2008-1004, HTML Document, https://doi.org/10.3133/ofr20081004.","productDescription":"HTML Document","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-005786","costCenters":[{"id":680,"text":"Woods Hole Science Center","active":false,"usgs":true}],"links":[{"id":195012,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11546,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1004/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Massachusetts","city":"Woods Hole","geographicExtents":"{\"crs\": {\"type\": \"name\", \"properties\": {\"name\": \"urn:ogc:def:crs:OGC:1.3:CRS84\"}}, \"geometry\": {\"type\": \"Polygon\", \"coordinates\": [[[-70.68015599831024, 41.52693928765149], [-70.67226739014919, 41.52509446250046], [-70.67023548478207, 41.52247479927562], [-70.67196180561497, 41.521495355764166], [-70.66751981458485, 41.515995840790076], [-70.66632939749157, 41.51628448705189], [-70.66780811953878, 41.52260451444391], [-70.66500126900227, 41.52289878103239], [-70.66445800760812, 41.51693422364235], [-70.65693157370985, 41.51438768585723], [-70.6551823316289, 41.50899815878374], [-70.65710465997076, 41.50722839618328], [-70.67514810165571, 41.507197883035026], [-70.67654153542732, 41.50963893489769], [-70.67308228224043, 41.513674655277384], [-70.67639844033393, 41.516968177479484], [-70.67600246980766, 41.52279010180788], [-70.679850413776, 41.522434745258224], [-70.68015599831024, 41.52693928765149]]]}, \"properties\": {\"extentType\": \"Custom\", \"code\": \"\", \"name\": \"\", \"notes\": \"\", \"promotedForReuse\": false, \"abbreviation\": \"\", \"shortName\": \"\", \"description\": \"\"}, \"bbox\": [-70.68033708544161, 41.50707629292747, -70.6551823316289, 41.52693928765149], \"type\": \"Feature\", \"id\": \"3091895\"}","contact":"<p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ce4b07f02db5fc6ac","contributors":{"authors":[{"text":"Poppe, Lawrence J. lpoppe@usgs.gov","contributorId":2149,"corporation":false,"usgs":true,"family":"Poppe","given":"Lawrence J.","email":"lpoppe@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":296515,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McMullen, Katherine Y. kmcmullen@usgs.gov","contributorId":24036,"corporation":false,"usgs":true,"family":"McMullen","given":"Katherine","email":"kmcmullen@usgs.gov","middleInitial":"Y.","affiliations":[],"preferred":false,"id":296518,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Foster, David S. 0000-0003-1205-0884 dfoster@usgs.gov","orcid":"https://orcid.org/0000-0003-1205-0884","contributorId":1320,"corporation":false,"usgs":true,"family":"Foster","given":"David","email":"dfoster@usgs.gov","middleInitial":"S.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":296513,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blackwood, Dann S. dblackwood@usgs.gov","contributorId":2457,"corporation":false,"usgs":true,"family":"Blackwood","given":"Dann","email":"dblackwood@usgs.gov","middleInitial":"S.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":296516,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Williams, S. Jeffress 0000-0002-1326-7420 jwilliams@usgs.gov","orcid":"https://orcid.org/0000-0002-1326-7420","contributorId":2063,"corporation":false,"usgs":true,"family":"Williams","given":"S.","email":"jwilliams@usgs.gov","middleInitial":"Jeffress","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":296514,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ackerman, Seth D. 0000-0003-0945-2794 sackerman@usgs.gov","orcid":"https://orcid.org/0000-0003-0945-2794","contributorId":178676,"corporation":false,"usgs":true,"family":"Ackerman","given":"Seth","email":"sackerman@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":296517,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barnum, Steven R.","contributorId":103377,"corporation":false,"usgs":true,"family":"Barnum","given":"Steven","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":296520,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brennan, Rick T.","contributorId":28688,"corporation":false,"usgs":true,"family":"Brennan","given":"Rick","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":296519,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":85835,"text":"ofr20081164 - 2008 - Landslide and Land Subsidence Hazards to Pipelines","interactions":[],"lastModifiedDate":"2019-09-06T13:14:24","indexId":"ofr20081164","displayToPublicDate":"2008-07-12T00:00:00","publicationYear":"2008","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":"2008-1164","title":"Landslide and Land Subsidence Hazards to Pipelines","docAbstract":"Landslides and land subsidence pose serious hazards to pipelines throughout the world. Many existing pipeline corridors and more and more new pipelines cross terrain that is affected by either landslides, land subsidence, or both. Consequently the pipeline industry recognizes a need for increased awareness of methods for identifying and evaluating landslide and subsidence hazard for pipeline corridors. This report was prepared in cooperation with the U.S. Department of Transportation Pipeline and Hazardous Materials Safety Administration, and Pipeline Research Council International through a cooperative research and development agreement (CRADA) with DGH Consulting, Inc., to address the need for up-to-date information about current methods to identify and assess these hazards. Chapters in this report (1) describe methods for evaluating landslide hazard on a regional basis, (2) describe the various types of land subsidence hazard in the United States and available methods for identifying and quantifying subsidence, and (3) summarize current methods for investigating individual landslides. In addition to the descriptions, this report provides information about the relative costs, limitations and reliability of various methods.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20081164","collaboration":"Prepared in cooperation with the U.S. Department of Transportation, Pipeline Research Council International, and DGH Consulting Inc.","usgsCitation":"Baum, R.L., Galloway, D.L., and Harp, E.L., 2008, Landslide and Land Subsidence Hazards to Pipelines (Version 1.0): U.S. Geological Survey Open-File Report 2008-1164, x, 192 p., https://doi.org/10.3133/ofr20081164.","productDescription":"x, 192 p.","onlineOnly":"Y","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":195356,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11534,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1164/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b20e4b07f02db6ab979","contributors":{"authors":[{"text":"Baum, Rex L. 0000-0001-5337-1970 baum@usgs.gov","orcid":"https://orcid.org/0000-0001-5337-1970","contributorId":1288,"corporation":false,"usgs":true,"family":"Baum","given":"Rex","email":"baum@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":296508,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Galloway, Devin L. 0000-0003-0904-5355 dlgallow@usgs.gov","orcid":"https://orcid.org/0000-0003-0904-5355","contributorId":679,"corporation":false,"usgs":true,"family":"Galloway","given":"Devin","email":"dlgallow@usgs.gov","middleInitial":"L.","affiliations":[{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true},{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":296507,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harp, Edwin L. harp@usgs.gov","contributorId":1290,"corporation":false,"usgs":true,"family":"Harp","given":"Edwin","email":"harp@usgs.gov","middleInitial":"L.","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":296509,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":85833,"text":"ofr20081107 - 2008 - Simulation of Flow Regimes to Reduce Habitat for T. tubifex","interactions":[],"lastModifiedDate":"2012-02-02T00:14:32","indexId":"ofr20081107","displayToPublicDate":"2008-07-10T00:00:00","publicationYear":"2008","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":"2008-1107","title":"Simulation of Flow Regimes to Reduce Habitat for T. tubifex","docAbstract":"Whirling disease has had a significant impact on trout fisheries of the American west by reducing the numbers and quality of rainbow trout in infected streams. A critical factor in the life cycle of the whirling disease parasite is the fine sediment that provides the optimum habitat for Tubifex tubifex, an oligochaete worm that acts as an intermediate host for the disease. \r\n\r\nThis report presents a model for the simulation of flushing flows required to remove undesirable fines and sand from a pool. Undesirable fines may also need to be flushed from runs, the surface layer, and backwater areas. Well-defined links of specific particle sizes to oligochaete worm abundance is needed to justify the use of flushing flows to move sediment. \r\n\r\nAn analytical method for estimating the streamflows needed to remove the fine sediment is demonstrated herein. The overall steps to follow in removing fines from a stream are: \r\nStep 1. Determine size of the sediment that is the habitat for oligochaete worms. \r\nStep 2. Determine location of the sediment that is the habitat for oligochaete worms. \r\nStep 3. Determine streamflows needed to flush (remove) the sediment that is the habitat for oligochaete worms. \r\n\r\nThe case study approach is used to present the method and to demonstrate its application. The case is derived from the sediment and oligochaete worm habitat of Willow Creek, a tributary of the Upper Colorado River located in Grand County, Colo. Willow Creek Reservoir (an element of the Colorado-Big Thompson Project) controls the streamflows of the creek and is just above the study site.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20081107","usgsCitation":"Milhous, R.T., 2008, Simulation of Flow Regimes to Reduce Habitat for T. tubifex (Version 1.0): U.S. Geological Survey Open-File Report 2008-1107, v, 16 p., https://doi.org/10.3133/ofr20081107.","productDescription":"v, 16 p.","onlineOnly":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":195068,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11528,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1107/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f8e4b07f02db5f2bad","contributors":{"authors":[{"text":"Milhous, Robert T.","contributorId":28646,"corporation":false,"usgs":true,"family":"Milhous","given":"Robert","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":296505,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":85830,"text":"ofr20081218 - 2008 - The Distribution of Submersed Aquatic Vegetation in the Fresh and Oligohaline Tidal Potomac River, 2005","interactions":[],"lastModifiedDate":"2012-02-02T00:14:15","indexId":"ofr20081218","displayToPublicDate":"2008-07-10T00:00:00","publicationYear":"2008","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":"2008-1218","title":"The Distribution of Submersed Aquatic Vegetation in the Fresh and Oligohaline Tidal Potomac River, 2005","docAbstract":"Submersed aquatic vegetation (SAV) is a critical component of the Potomac River ecosystem. Though SAV provides important habitat for fauna and stabilizes bottom sediment, very dense beds may restrict recreational and commercial navigation. Exotic species of SAV are managed by the Metropolitan Washington Council of Governments Potomac Aquatic Plant Management Program (PAPMP). Selected beds of primarily exotic SAV species that limit navigation are harvested mechanically. The program began in 1986 when approximately 40 acres of plants were harvested from 18 sites (Metropolitan Washington Council of Governments 1987).\r\n\r\nMonitoring efforts are an effective means of quantifying the distribution and abundance of the exotic species, Hydrilla verticillata (hydrilla) and other SAV species. These annual surveys provide a basis for identifying large-scale changes and trends throughout the ecosystem and allow managers to evaluate the effectiveness of resource management policies based on a reliable scientific foundation (Rybicki and Landwehr, 2007). The U.S. Geological Survey (USGS) has monitored the distribution and composition of SAV beds in the fresh and oligohaline (salinity 0.5 to 5) tidal Potomac River since 1978 using transect sampling (1978 to 1981, 1985 to 1987, and 2002) and shoreline surveys (1983 to 2005). The Government of the District of Columbia has monitored the portion of the Potomac and Anacostia Rivers within Washington DC since 1998 (Rottman, 1999; Ryan, 2005, 2006). \r\n\r\nThe species of SAV observed in beds in the tidal Potomac River are incorporated into the Virginia Institute of Marine Science (VIMS) annual report on SAV distribution in Chesapeake Bay. The VIMS report and methods are available at http://www.vims.edu/bio/sav (Orth et al., 2006). Additional publications concerning SAV distribution in the Potomac River can be found at http://water.usgs.gov/nrp/proj.bib/sav/wethome.htm.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20081218","usgsCitation":"Rybicki, N.B., Justiniano-Velez, E.M., Schenk, E.R., Baldizar, J.M., and Hunter, S.E., 2008, The Distribution of Submersed Aquatic Vegetation in the Fresh and Oligohaline Tidal Potomac River, 2005: U.S. Geological Survey Open-File Report 2008-1218, v, 35 p., https://doi.org/10.3133/ofr20081218.","productDescription":"v, 35 p.","onlineOnly":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":190924,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11525,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1218/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acce4b07f02db67e8da","contributors":{"authors":[{"text":"Rybicki, Nancy B. 0000-0002-2205-7927 nrybicki@usgs.gov","orcid":"https://orcid.org/0000-0002-2205-7927","contributorId":2142,"corporation":false,"usgs":true,"family":"Rybicki","given":"Nancy","email":"nrybicki@usgs.gov","middleInitial":"B.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":296493,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Justiniano-Velez, Erika M.","contributorId":49056,"corporation":false,"usgs":true,"family":"Justiniano-Velez","given":"Erika","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":296495,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schenk, Edward R. 0000-0001-6886-5754 eschenk@usgs.gov","orcid":"https://orcid.org/0000-0001-6886-5754","contributorId":2183,"corporation":false,"usgs":true,"family":"Schenk","given":"Edward","email":"eschenk@usgs.gov","middleInitial":"R.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":296494,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baldizar, Julie M.","contributorId":102154,"corporation":false,"usgs":true,"family":"Baldizar","given":"Julie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":296497,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hunter, Sarah E.","contributorId":65551,"corporation":false,"usgs":true,"family":"Hunter","given":"Sarah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":296496,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":85831,"text":"ofr20081216 - 2008 - A Vegetation Database for the Colorado River Ecosystem from Glen Canyon Dam to the Western Boundary of Grand Canyon National Park, Arizona","interactions":[],"lastModifiedDate":"2012-02-10T00:11:49","indexId":"ofr20081216","displayToPublicDate":"2008-07-10T00:00:00","publicationYear":"2008","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":"2008-1216","title":"A Vegetation Database for the Colorado River Ecosystem from Glen Canyon Dam to the Western Boundary of Grand Canyon National Park, Arizona","docAbstract":"A vegetation database of the riparian vegetation located within the Colorado River ecosystem (CRE), a subsection of the Colorado River between Glen Canyon Dam and the western boundary of Grand Canyon National Park, was constructed using four-band image mosaics acquired in May 2002. A digital line scanner was flown over the Colorado River corridor in Arizona by ISTAR Americas, using a Leica ADS-40 digital camera to acquire a digital surface model and four-band image mosaics (blue, green, red, and near-infrared) for vegetation mapping. The primary objective of this mapping project was to develop a digital inventory map of vegetation to enable patch- and landscape-scale change detection, and to establish randomized sampling points for ground surveys of terrestrial fauna (principally, but not exclusively, birds). The vegetation base map was constructed through a combination of ground surveys to identify vegetation classes, image processing, and automated supervised classification procedures. Analysis of the imagery and subsequent supervised classification involved multiple steps to evaluate band quality, band ratios, and vegetation texture and density. Identification of vegetation classes involved collection of cover data throughout the river corridor and subsequent analysis using two-way indicator species analysis (TWINSPAN). \r\n\r\nVegetation was classified into six vegetation classes, following the National Vegetation Classification Standard, based on cover dominance. This analysis indicated that total area covered by all vegetation within the CRE was 3,346 ha. Considering the six vegetation classes, the sparse shrub (SS) class accounted for the greatest amount of vegetation (627 ha) followed by Pluchea (PLSE) and Tamarix (TARA) at 494 and 366 ha, respectively. The wetland (WTLD) and Prosopis-Acacia (PRGL) classes both had similar areal cover values (227 and 213 ha, respectively). Baccharis-Salix (BAXX) was the least represented at 94 ha. Accuracy assessment of the supervised classification determined that accuracies varied among vegetation classes from 90% to 49%. Causes for low accuracies were similar spectral signatures among vegetation classes. Fuzzy accuracy assessment improved classification accuracies such that Federal mapping standards of 80% accuracies for all classes were met. \r\n\r\nThe scale used to quantify vegetation adequately meets the needs of the stakeholder group. Increasing the scale to meet the U.S. Geological Survey (USGS)-National Park Service (NPS)National Mapping Program's minimum mapping unit of 0.5 ha is unwarranted because this scale would reduce the resolution of some classes (e.g., seep willow/coyote willow would likely be combined with tamarisk). While this would undoubtedly improve classification accuracies, it would not provide the community-level information about vegetation change that would benefit stakeholders. The identification of vegetation classes should follow NPS mapping approaches to complement the national effort and should incorporate the alternative analysis for community identification that is being incorporated into newer NPS mapping efforts. National Vegetation Classification is followed in this report for association- to formation-level categories. \r\n\r\nAccuracies could be improved by including more environmental variables such as stage elevation in the classification process and incorporating object-based classification methods. Another approach that may address the heterogeneous species issue and classification is to use spectral mixing analysis to estimate the fractional cover of species within each pixel and better quantify the cover of individual species that compose a cover class. Varying flights to capture vegetation at different times of the year might also help separate some vegetation classes, though the cost may be prohibitive. Lastly, photointerpretation instead of automated mapping could be tried. Photointerpretation would likely not improve accuracies in this case, howev","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20081216","collaboration":"Prepared in cooperation with Pinnacle Mapping Technologies, Inc. and Northern Arizona University","usgsCitation":"Ralston, B., Davis, P.A., Weber, R.M., and Rundall, J.M., 2008, A Vegetation Database for the Colorado River Ecosystem from Glen Canyon Dam to the Western Boundary of Grand Canyon National Park, Arizona (Version 1.0): U.S. Geological Survey Open-File Report 2008-1216, iv, 37 p., https://doi.org/10.3133/ofr20081216.","productDescription":"iv, 37 p.","onlineOnly":"Y","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":195236,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11526,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1216/","linkFileType":{"id":5,"text":"html"}}],"scale":"1500000","projection":"Stateplane, Arizona Central Zone, NAD 1983","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.5,35 ], [ -114.5,37.5 ], [ -111,37.5 ], [ -111,35 ], [ -114.5,35 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd496ee4b0b290850ef2a0","contributors":{"authors":[{"text":"Ralston, Barbara E.","contributorId":89848,"corporation":false,"usgs":true,"family":"Ralston","given":"Barbara E.","affiliations":[],"preferred":false,"id":296501,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, Philip A. pdavis@usgs.gov","contributorId":692,"corporation":false,"usgs":true,"family":"Davis","given":"Philip","email":"pdavis@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":296498,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weber, Robert M. rweber@usgs.gov","contributorId":2935,"corporation":false,"usgs":true,"family":"Weber","given":"Robert","email":"rweber@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":296499,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rundall, Jill M.","contributorId":44251,"corporation":false,"usgs":true,"family":"Rundall","given":"Jill","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":296500,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":85825,"text":"ofr20081207 - 2008 - Interpretation of Borehole Geophysical Logs at Area C, Former Naval Air Warfare Center, Warminster Township, Bucks County, Pennsylvania, 2007","interactions":[],"lastModifiedDate":"2017-06-12T09:39:01","indexId":"ofr20081207","displayToPublicDate":"2008-07-08T00:00:00","publicationYear":"2008","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":"2008-1207","title":"Interpretation of Borehole Geophysical Logs at Area C, Former Naval Air Warfare Center, Warminster Township, Bucks County, Pennsylvania, 2007","docAbstract":"This study was done by the U.S. Geological Survey in cooperation with the U.S. Navy at Area C of the former Naval Air Warfare Center in Warminster Township, Bucks County, Pa., in support of hydrogeological investigations conducted by the Navy to address ground-water contamination in the Stockton Formation. Borehole geophysical logs were collected, heatpulse-flowmeter measurements were made, and borehole television surveys were run in seven boreholes ranging from 31 to 75 feet deep. Caliper logs and borehole television surveys were used to identify fractures and the location of possible water-bearing zones. Heatpulse-flowmeter measurements were used to identify fractures that were water-bearing zones. Natural-gamma and single-point-resistance logs were used to correlate lithology across the area. Elevated concentrations of tetrachloroethylene (PCE) were measured in water samples from wells with water-bearing zones in the interval of the aquifer where monitor well HN-23A is screened. Water samples from wells with water-bearing zones above or below this interval had substantially lower concentrations of PCE. Wells screened in this interval yielded less than 0.5 gallon per minute, indicating that the interval has low permeability; this may account for the small areal extent and slow migration of PCE. ","language":"English","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20081207","collaboration":"Prepared in cooperation with the U.S. Navy","usgsCitation":"Sloto, R.A., 2008, Interpretation of Borehole Geophysical Logs at Area C, Former Naval Air Warfare Center, Warminster Township, Bucks County, Pennsylvania, 2007: U.S. Geological Survey Open-File Report 2008-1207, vi, 20 p., https://doi.org/10.3133/ofr20081207.","productDescription":"vi, 20 p.","onlineOnly":"Y","temporalStart":"2007-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":195355,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11519,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1207/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.1,40.166666666666664 ], [ -75.1,40.233333333333334 ], [ -75.01666666666667,40.233333333333334 ], [ -75.01666666666667,40.166666666666664 ], [ -75.1,40.166666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e48cde4b07f02db544bd3","contributors":{"authors":[{"text":"Sloto, Ronald A. rasloto@usgs.gov","contributorId":424,"corporation":false,"usgs":true,"family":"Sloto","given":"Ronald","email":"rasloto@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":296484,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":85816,"text":"ofr20081227 - 2008 - Using the U.S. Geological Survey National Water Quality Laboratory LT-MDL to Evaluate and Analyze Data","interactions":[],"lastModifiedDate":"2012-02-02T00:14:16","indexId":"ofr20081227","displayToPublicDate":"2008-07-04T00:00:00","publicationYear":"2008","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":"2008-1227","title":"Using the U.S. Geological Survey National Water Quality Laboratory LT-MDL to Evaluate and Analyze Data","docAbstract":"A long-term method detection level (LT-MDL) and laboratory reporting level (LRL) are used by the U.S. Geological Survey?s National Water Quality Laboratory (NWQL) when reporting results from most chemical analyses of water samples. Changing to this method provided data users with additional information about their data and often resulted in more reported values in the low concentration range. Before this method was implemented, many of these values would have been censored.\r\n\r\nThe use of the LT-MDL and LRL presents some challenges for the data user. Interpreting data in the low concentration range increases the need for adequate quality assurance because even small contamination or recovery problems can be relatively large compared to concentrations near the LT-MDL and LRL. In addition, the definition of the LT-MDL, as well as the inclusion of low values, can result in complex data sets with multiple censoring levels and reported values that are less than a censoring level. Improper interpretation or statistical manipulation of low-range results in these data sets can result in bias and incorrect conclusions.\r\n\r\nThis document is designed to help data users use and interpret data reported with the LTMDL/ LRL method. The calculation and application of the LT-MDL and LRL are described. This document shows how to extract statistical information from the LT-MDL and LRL and how to use that information in USGS investigations, such as assessing the quality of field data, interpreting field data, and planning data collection for new projects. A set of 19 detailed examples are included in this document to help data users think about their data and properly interpret lowrange data without introducing bias. Although this document is not meant to be a comprehensive resource of statistical methods, several useful methods of analyzing censored data are demonstrated, including Regression on Order Statistics and Kaplan-Meier Estimation. These two statistical methods handle complex censored data sets without resorting to substitution, thereby avoiding a common source of bias and inaccuracy.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20081227","usgsCitation":"Bonn, B.A., 2008, Using the U.S. Geological Survey National Water Quality Laboratory LT-MDL to Evaluate and Analyze Data: U.S. Geological Survey Open-File Report 2008-1227, iv, 73 p., https://doi.org/10.3133/ofr20081227.","productDescription":"iv, 73 p.","costCenters":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"links":[{"id":190820,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11510,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1227/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a14e4b07f02db602e2a","contributors":{"authors":[{"text":"Bonn, Bernadine A.","contributorId":105707,"corporation":false,"usgs":true,"family":"Bonn","given":"Bernadine","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":296471,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":85815,"text":"ofr20081215 - 2008 - Winds, Waves, Tides, and the Resulting Flow Patterns and Fluxes of Water, Sediment, and Coral Larvae off West Maui, Hawaii","interactions":[],"lastModifiedDate":"2012-02-10T00:11:46","indexId":"ofr20081215","displayToPublicDate":"2008-07-04T00:00:00","publicationYear":"2008","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":"2008-1215","title":"Winds, Waves, Tides, and the Resulting Flow Patterns and Fluxes of Water, Sediment, and Coral Larvae off West Maui, Hawaii","docAbstract":"A series of recent studies has focused on the flow patterns and particle fluxes along the coast of West Maui, Hawaii, USA, from Honolua south to Puumana. From those studies a relatively good understanding has emerged of the physical processes that influence the relative amount of suspended sediment in nearshore waters and the circulation patterns that transport sediment and coral larvae along the coast and between islands. This report is a synthesis of our existing knowledge on the nature of flow and transport off West Maui.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20081215","usgsCitation":"Storlazzi, C., and Field, M.E., 2008, Winds, Waves, Tides, and the Resulting Flow Patterns and Fluxes of Water, Sediment, and Coral Larvae off West Maui, Hawaii (Version 1.0): U.S. Geological Survey Open-File Report 2008-1215, 13 p., https://doi.org/10.3133/ofr20081215.","productDescription":"13 p.","onlineOnly":"Y","costCenters":[{"id":645,"text":"Western Coastal and Marine Geology","active":false,"usgs":true}],"links":[{"id":195525,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11509,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1215/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -156.83333333333334,20.833333333333332 ], [ -156.83333333333334,21.083333333333332 ], [ -156.58333333333334,21.083333333333332 ], [ -156.58333333333334,20.833333333333332 ], [ -156.83333333333334,20.833333333333332 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49dee4b07f02db5e29e4","contributors":{"authors":[{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":77889,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt D.","affiliations":[],"preferred":false,"id":296470,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Field, Michael E. mfield@usgs.gov","contributorId":2101,"corporation":false,"usgs":true,"family":"Field","given":"Michael","email":"mfield@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":296469,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":85814,"text":"ofr20081157 - 2008 - Mapping of Florida's coastal and marine resources: Setting priorities workshop","interactions":[],"lastModifiedDate":"2023-12-08T12:05:07.967619","indexId":"ofr20081157","displayToPublicDate":"2008-07-03T00:00:00","publicationYear":"2008","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":"2008-1157","title":"Mapping of Florida's coastal and marine resources: Setting priorities workshop","docAbstract":"<p class=\"content style1\">The importance of mapping habitats and bioregions as a means to improve resource management has become increasingly clear. Large areas of the waters surrounding Florida are unmapped or incompletely mapped, possibly hindering proper management and good decisionmaking. Mapping of these ecosystems is among the top priorities identified by the Florida Oceans and Coastal Council in their Annual Science Research Plan. However, lack of prioritization among the coastal and marine areas and lack of coordination of agency efforts impede efficient, cost–effective mapping.</p><p class=\"content style1\">A workshop on Mapping of Florida’s Coastal and Marine Resources was sponsored by the U.S. Geological Survey (USGS), Florida Department of Environmental Protection (FDEP), and Southeastern Regional Partnership for Planning and Sustainability (SERPPAS). The workshop was held at the USGS Florida Integrated Science Center (FISC) in St. Petersburg, FL, on February 7-8, 2007. The workshop was designed to provide State, Federal, university, and non-governmental organizations (NGOs) the opportunity to discuss their existing data coverage and create a prioritization of areas for new mapping data in Florida. Specific goals of the workshop were multifold, including to:</p><ul class=\"style16\"><li>provide information to agencies on state-of-the-art technology for collecting data;</li><li>inform participants of the ongoing mapping programs in waters off Florida;</li><li>present the mapping needs and priorities of the State and Federal agencies and entities operating in Florida;</li><li>work with State of Florida agencies to establish an overall priority for areas needing mapping;</li><li>initiate discussion of a unified classification of habitat and bioregions;</li><li>discuss and examine the need to standardize terminology and data collection/storage so that data, in particular habitat data, can be shared;</li><li>identify opportunities for partnering and leveraging mapping efforts among agencies and entities;</li><li>identify impediments and organizational gaps that hinder collection of data for mapping;</li><li>seek innovative solutions to the primary obstacles identified;</li><li>identify the steps needed to move mapping of Florida’s oceans and coasts forward, in preparation for a better coordinated, more cost-effective mapping program to allow State and Federal agencies to make better decisions on coastal-resource issues.</li></ul><p><br></p><p class=\"content style1\">Over 90 invited participants representing more than 30 State and Federal agencies, universities, NGOs, and private industries played a large role in the success of this two-day workshop. State of Florida agency participants created a ranked priority order for mapping 13 different regions around Florida. The data needed for each of the 13 priority regions were outlined. A matrix considering State and Federal priorities was created, utilizing input from all agencies. The matrix showed overlapping interests of the entities and will allow for partnering and leveraging of resources.</p><p class=\"content style1\">The five most basic mapping needs were determined to be bathymetry, high-vertical resolution coastline for sea-level rise scenarios, shoreline change, subsurface geology, and benthic habitats at sufficient scale. There was a clear convergence on the need to coordinate mapping activities around the state. Suggestions for coordination included:</p><ul class=\"style16\"><li>creating a glossary of terms: a standard for specifying agency data-mapping needs;</li><li>creating a geographic information officer (GIO) position or permanent organizing group to maintain communications established at this workshop and to maintain progress on the issues identified during the workshop. The person or group could develop a website, maintain a project-status matrix, develop a list of contacts, create links to legislative updates and links to funding sources;</li><li>developing a web portal and one-stop/clearinghouse of data.</li></ul><p><br></p><p class=\"content style1\">There was general consensus on the need to adopt a single habitat classification system and a strategy to accommodate existing systems smoothly. Unresolved aspects of the systems warrant that a separate workshop would be needed to work out details.</p><p class=\"content style1\">Participants recognized that the State priority list would necessarily be updated periodically. An annual review of priorities would facilitate information exchange, mapping activities updates, and re-allocation of funding among changing priorities.</p><p class=\"content style1\">It was recognized that mapping of State waters would take billions of dollars and in light of tightening budgets there was need for processes that could be used to appropriate or leverage monies for mapping and reduce data-collection costs. Fourteen different avenues were explored. There was a clear consensus that the linking of public to private partnerships to support mapping was imperative, and ways to achieve this were discussed.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20081157","usgsCitation":"Robbins, L., Wolfe, S., and Raabe, E., 2008, Mapping of Florida's coastal and marine resources: Setting priorities workshop: U.S. Geological Survey Open-File Report 2008-1157, iv, 32 p., https://doi.org/10.3133/ofr20081157.","productDescription":"iv, 32 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":277,"text":"Florida Integrated Science Center - St. Petersburg","active":false,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":11508,"rank":2,"type":{"id":15,"text":"Index 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,{"id":85813,"text":"ofr20081125 - 2008 - Derivation of ground surface and vegetation in a coastal Florida wetland with airborne laser technology","interactions":[],"lastModifiedDate":"2023-12-06T15:51:45.26653","indexId":"ofr20081125","displayToPublicDate":"2008-07-03T00:00:00","publicationYear":"2008","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":"2008-1125","title":"Derivation of ground surface and vegetation in a coastal Florida wetland with airborne laser technology","docAbstract":"<p>The geomorphology and vegetation of marsh-dominated coastal lowlands were mapped from airborne laser data points collected on the Gulf Coast of Florida near Cedar Key. Surface models were developed using low- and high-point filters to separate ground-surface and vegetation-canopy intercepts. In a non-automated process, the landscape was partitioned into functional landscape units to manage the modeling of key landscape features in discrete processing steps.&nbsp; The final digital ground surface-elevation model offers a faithful representation of topographic relief beneath canopies of tidal marsh and coastal forest. Bare-earth models approximate field-surveyed heights by<span>&nbsp;</span><u>+</u><span>&nbsp;</span>0.17 m in the open marsh and<span>&nbsp;</span><u>+</u><span>&nbsp;</span>0.22 m under thick marsh or forest canopy. The laser-derived digital surface models effectively delineate surface features of relatively inaccessible coastal habitats with a geographic coverage and vertical detail previously unavailable.</p><p>Coastal topographic details include tidal-creek tributaries, levees, modest topographic undulations in the intertidal zone, karst features, silviculture, and relict sand dunes under coastal-forest canopy.&nbsp; A combination of laser-derived ground-surface and canopy-height models and intensity values provided additional mapping capabilities to differentiate between tidal-marsh zones and forest types such as mesic flatwood, hydric hammock, and oak scrub. Additional derived products include fine-scale shoreline and topographic profiles. The derived products demonstrate the capability to identify areas of concern to resource managers and unique components of the coastal system from laser altimetry.</p><p>Because the very nature of a wetland system presents difficulties for access and data collection, airborne coverage from remote sensors has become an accepted alternative for monitoring wetland regions.&nbsp; Data acquisition with airborne laser represents a viable option for mapping coastal topography and for evaluating habitats and coastal change on marsh-dominated coasts. Such datasets can be instrumental in effective coastal-resource management.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20081125","usgsCitation":"Raabe, E.A., Harris, M.S., Shrestha, R.L., and Carter, W.E., 2008, Derivation of ground surface and vegetation in a coastal Florida wetland with airborne laser technology: U.S. Geological Survey Open-File Report 2008-1125, Report: iv, 37 p.; Data Files, https://doi.org/10.3133/ofr20081125.","productDescription":"Report: iv, 37 p.; Data Files","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":277,"text":"Florida Integrated Science Center - St. Petersburg","active":false,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":423275,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_83770.htm","linkFileType":{"id":5,"text":"html"}},{"id":11507,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1125/","linkFileType":{"id":5,"text":"html"}},{"id":195107,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -83.09166493511204,\n              29.25388074630841\n            ],\n            [\n              -83.09166493511204,\n              29.125143239327585\n            ],\n            [\n              -82.73007568031433,\n              29.125143239327585\n            ],\n            [\n              -82.73007568031433,\n              29.25388074630841\n            ],\n            [\n              -83.09166493511204,\n              29.25388074630841\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab1e4b07f02db66e60e","contributors":{"authors":[{"text":"Raabe, Ellen A. eraabe@usgs.gov","contributorId":2125,"corporation":false,"usgs":true,"family":"Raabe","given":"Ellen","email":"eraabe@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":296462,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harris, Melanie S.","contributorId":26032,"corporation":false,"usgs":true,"family":"Harris","given":"Melanie","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":296464,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shrestha, Ramesh L.","contributorId":35835,"corporation":false,"usgs":true,"family":"Shrestha","given":"Ramesh","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":296465,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carter, William E.","contributorId":18470,"corporation":false,"usgs":true,"family":"Carter","given":"William","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":296463,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":85812,"text":"ofr20081217 - 2008 - Annotated definitions of selected geomorphic terms and related terms of hydrology, sedimentology, soil science and ecology","interactions":[],"lastModifiedDate":"2021-04-01T11:38:40.964441","indexId":"ofr20081217","displayToPublicDate":"2008-07-03T00:00:00","publicationYear":"2008","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":"2008-1217","displayTitle":"Annotated Definitions of Selected Geomorphic Terms and Related Terms of Hydrology, Sedimentology, Soil Science and Ecology","title":"Annotated definitions of selected geomorphic terms and related terms of hydrology, sedimentology, soil science and ecology","docAbstract":"<p>No astract available.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20081217","collaboration":"Prepared in cooperation with the Office of Surface Water, U. S. Geological Survey","usgsCitation":"Osterkamp, W.R., 2008, Annotated definitions of selected geomorphic terms and related terms of hydrology, sedimentology, soil science and ecology: U.S. Geological Survey Open-File Report 2008-1217, v, 49 p., https://doi.org/10.3133/ofr20081217.","productDescription":"v, 49 p.","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":194666,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11506,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1217/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac8e4b07f02db67c0fe","contributors":{"authors":[{"text":"Osterkamp, W. R.","contributorId":46044,"corporation":false,"usgs":true,"family":"Osterkamp","given":"W.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":296461,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":85803,"text":"ofr20081111 - 2008 - TSPP - A collection of FORTRAN programs for processing and manipulating time series","interactions":[],"lastModifiedDate":"2019-07-17T16:44:35","indexId":"ofr20081111","displayToPublicDate":"2008-07-01T00:00:00","publicationYear":"2008","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":"2008-1111","title":"TSPP - A collection of FORTRAN programs for processing and manipulating time series","docAbstract":"<p>This report lists a number of FORTRAN programs that I have developed over the years for processing and manipulating strong-motion accelerograms. The collection is titled TSPP, which stands for Time Series Processing Programs. I have excluded 'strong-motion accelerograms' from the title, however, as the boundary between 'strong' and 'weak' motion has become blurred with the advent of broadband sensors and high-dynamic range dataloggers, and many of the programs can be used with any evenly spaced time series, not just acceleration time series. This version of the report is relatively brief, consisting primarily of an annotated list of the programs, with two examples of processing, and a few comments on usage. I do not include a parameter-by-parameter guide to the programs. Future versions might include more examples of processing, illustrating the various parameter choices in the programs. Although these programs have been used by the U.S. Geological Survey, no warranty, expressed or implied, is made by the USGS as to the accuracy or functioning of the programs and related program material, nor shall the fact of distribution constitute any such warranty, and no responsibility is assumed by the USGS in connection therewith. The programs are distributed on an 'as is' basis, with no warranty of support from me. These programs were written for my use and are being publicly distributed in the hope that others might find them as useful as I have. I would, however, appreciate being informed about bugs, and I always welcome suggestions for improvements to the codes. Please note that I have made little effort to optimize the coding of the programs or to include a user-friendly interface (many of the programs in this collection have been included in the software usdp (Utility Software for Data Processing), being developed by Akkar et al. (personal communication, 2008); usdp includes a graphical user interface). Speed of execution has been sacrificed in favor of a code that is intended to be easy to understand, although on modern computers speed of execution is rarely a problem. I will be pleased if users incorporate portions of my programs into their own applications; I only ask that reference be made to this report as the source of the programs.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20081111","usgsCitation":"Boore, D.M., 2008, TSPP - A collection of FORTRAN programs for processing and manipulating time series (Version 1.6, revised Jun 30, 2009): U.S. Geological Survey Open-File Report 2008-1111, iv, 53 p., https://doi.org/10.3133/ofr20081111.","productDescription":"iv, 53 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":190789,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11493,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1111/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.6, revised Jun 30, 2009","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b06e4b07f02db69a259","contributors":{"authors":[{"text":"Boore, David M. boore@usgs.gov","contributorId":2509,"corporation":false,"usgs":true,"family":"Boore","given":"David","email":"boore@usgs.gov","middleInitial":"M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":296448,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":85805,"text":"ofr20081171 - 2008 - Initial sediment transport model of the mining-affected Aries River Basin, Romania","interactions":[],"lastModifiedDate":"2017-05-23T13:18:45","indexId":"ofr20081171","displayToPublicDate":"2008-07-01T00:00:00","publicationYear":"2008","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":"2008-1171","title":"Initial sediment transport model of the mining-affected Aries River Basin, Romania","docAbstract":"The Romanian government is interested in understanding the effects of existing and future mining activities on long-term dispersal, storage, and remobilization of sediment-associated metals. An initial Soil and Water Assessment Tool (SWAT) model was prepared using available data to evaluate hypothetical failure of the Valea Sesei tailings dam at the Rosia Poieni mine in the Aries River basin. Using the available data, the initial Aries River Basin SWAT model could not be manually calibrated to accurately reproduce monthly streamflow values observed at the Turda gage station. The poor simulation of the monthly streamflow is attributed to spatially limited soil and precipitation data, limited constraint information due to spatially and temporally limited streamflow measurements, and in ability to obtain optimal parameter values when using a manual calibration process. Suggestions to improve the Aries River basin sediment transport model include accounting for heterogeneity in model input, a two-tier nonlinear calibration strategy, and analysis of uncertainty in predictions.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20081171","collaboration":"Prepared in cooperation with the World Bank, the Romanian National Agency for Mineral Resources, and Futures Group","usgsCitation":"Friedel, M.J., and Linard, J.I., 2008, Initial sediment transport model of the mining-affected Aries River Basin, Romania (Version 1.0): U.S. Geological Survey Open-File Report 2008-1171, vi, 23 p., https://doi.org/10.3133/ofr20081171.","productDescription":"vi, 23 p.","onlineOnly":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":195277,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11495,"rank":100,"type":{"id":15,"text":"Index 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Center","active":true,"usgs":true}],"preferred":true,"id":296451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Linard, Joshua I. jilinard@usgs.gov","contributorId":1465,"corporation":false,"usgs":true,"family":"Linard","given":"Joshua","email":"jilinard@usgs.gov","middleInitial":"I.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":296452,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":85804,"text":"ofr20081160 - 2008 - Creating a Global Building Inventory for Earthquake Loss Assessment and Risk Management","interactions":[],"lastModifiedDate":"2012-02-02T00:14:31","indexId":"ofr20081160","displayToPublicDate":"2008-07-01T00:00:00","publicationYear":"2008","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":"2008-1160","title":"Creating a Global Building Inventory for Earthquake Loss Assessment and Risk Management","docAbstract":"Earthquakes have claimed approximately 8 million lives over the last 2,000 years (Dunbar, Lockridge and others, 1992) and fatality rates are likely to continue to rise with increased population and urbanizations of global settlements especially in developing countries. More than 75% of earthquake-related human casualties are caused by the collapse of buildings or structures (Coburn and Spence, 2002). It is disheartening to note that large fractions of the world's population still reside in informal, poorly-constructed & non-engineered dwellings which have high susceptibility to collapse during earthquakes. Moreover, with increasing urbanization half of world's population now lives in urban areas (United Nations, 2001), and half of these urban centers are located in earthquake-prone regions (Bilham, 2004). The poor performance of most building stocks during earthquakes remains a primary societal concern. However, despite this dark history and bleaker future trends, there are no comprehensive global building inventories of sufficient quality and coverage to adequately address and characterize future earthquake losses. Such an inventory is vital both for earthquake loss mitigation and for earthquake disaster response purposes. While the latter purpose is the motivation of this work, we hope that the global building inventory database described herein will find widespread use for other mitigation efforts as well. \r\nFor a real-time earthquake impact alert system, such as U.S. Geological Survey's (USGS) Prompt Assessment of Global Earthquakes for Response (PAGER), (Wald, Earle and others, 2006), we seek to rapidly evaluate potential casualties associated with earthquake ground shaking for any region of the world. The casualty estimation is based primarily on (1) rapid estimation of the ground shaking hazard, (2) aggregating the population exposure within different building types, and (3) estimating the casualties from the collapse of vulnerable buildings. Thus, the contribution of building stock, its relative vulnerability, and distribution are vital components for determining the extent of casualties during an earthquake. \r\nIt is evident from large deadly historical earthquakes that the distribution of vulnerable structures and their occupancy level during an earthquake control the severity of human losses. For example, though the number of strong earthquakes in California is comparable to that of Iran, the total earthquake-related casualties in California during the last 100 years are dramatically lower than the casualties from several individual Iranian earthquakes. The relatively low casualties count in California is attributed mainly to the fact that more than 90 percent of the building stock in California is made of wood and is designed to withstand moderate to large earthquakes (Kircher, Seligson and others, 2006). In contrast, the 80 percent adobe and or non-engineered masonry building stock with poor lateral load resisting systems in Iran succumbs even for moderate levels of ground shaking. Consequently, the heavy death toll for the 2003 Bam, Iran earthquake, which claimed 31,828 lives (Ghafory-Ashtiany and Mousavi, 2005), is directly attributable to such poorly resistant construction, and future events will produce comparable losses unless practices change. Similarly, multistory, precast-concrete framed buildings caused heavy casualties in the 1988 Spitak, Armenia earthquake (Bertero, 1989); weaker masonry and reinforced-concrete framed construction designed for gravity loads with soft first stories dominated losses in the Bhuj, India earthquake of 2001 (Madabhushi and Haigh, 2005); and adobe and weak masonry dwellings in Peru controlled the death toll in the Peru earthquake of 2007 (Taucer, J. and others, 2007). Spence (2007) after conducting a brief survey of most lethal earthquakes since 1960 found that building collapses remains a major cause of earthquake mortality and unreinforced masonry buildings are one of the mos","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20081160","usgsCitation":"Jaiswal, K., and Wald, D.J., 2008, Creating a Global Building Inventory for Earthquake Loss Assessment and Risk Management (Version 1.3, Revised Oct 2008): U.S. Geological Survey Open-File Report 2008-1160, Report: vi, 108 p.; Appendix VII, https://doi.org/10.3133/ofr20081160.","productDescription":"Report: vi, 108 p.; Appendix VII","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":195260,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11494,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1160/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.3, Revised Oct 2008","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad5e4b07f02db68341e","contributors":{"authors":[{"text":"Jaiswal, Kishor kjaiswal@usgs.gov","contributorId":861,"corporation":false,"usgs":true,"family":"Jaiswal","given":"Kishor","email":"kjaiswal@usgs.gov","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":false,"id":296450,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":296449,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":85802,"text":"ofr20081184 - 2008 - Location of the Green Canyon (Offshore Southern Louisiana) Seismic Event of February 10, 2006","interactions":[],"lastModifiedDate":"2012-02-10T00:11:46","indexId":"ofr20081184","displayToPublicDate":"2008-07-01T00:00:00","publicationYear":"2008","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":"2008-1184","title":"Location of the Green Canyon (Offshore Southern Louisiana) Seismic Event of February 10, 2006","docAbstract":"We calculated an epicenter for the Offshore Southern Louisiana seismic event of February 10, 2006 (the 'Green Canyon event') that was adopted as the preferred epicenter for the event by the USGS/NEIC. The event is held at a focal depth of 5 km; the focal depth could not be reliably calculated but was most likely between 1 km and 15 km beneath sea level. The epicenter was calculated with a radially symmetric global Earth model similar to that routinely used at the USGS/NEIC for all earthquakes worldwide. The location was calculated using P-waves recorded by seismographic stations from which the USGS/NEIC routinely obtains seismological data, plus data from two seismic exploration arrays, the Atlantis ocean-bottom node array, operated by BP in partnership with BHP Billiton Limited, and the CGG Green Canyon phase VIII multi-client towed-streamer survey. The preferred epicenter is approximately 26 km north of an epicenter earlier published by the USGS/NEIC, which was obtained without benefit of the seismic exploration arrays. We estimate that the preferred epicenter is accurate to within 15 km.\r\n\r\nWe selected the preferred epicenter from a suite of trial calculations that attempted to fit arrival times of seismic energy associated with the Green Canyon event and that explored the effect of errors in the velocity model used to calculate the preferred epicenter. The various trials were helpful in confirming the approximate correctness of the preferred epicenter and in assessing the accuracy of the preferred epicenter, but none of the trial calculations, including that of the preferred epicenter, was able to reconcile arrival-time observations and assumed velocity model as well as is typical for the vast majority of earthquakes in and near the continental United States. We believe that remaining misfits between the preferred solution and the observations reflect errors in interpreted arrival times of emergent seismic phases that are due partly to a temporally extended source-time function and partly to failure of our travel-time model to account for the extremely complicated velocity structure of the sedimentary section in which the event occurred.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20081184","usgsCitation":"Dewey, J.W., and Dellinger, J.A., 2008, Location of the Green Canyon (Offshore Southern Louisiana) Seismic Event of February 10, 2006 (Version 1.0): U.S. Geological Survey Open-File Report 2008-1184, 30 p., https://doi.org/10.3133/ofr20081184.","productDescription":"30 p.","onlineOnly":"Y","temporalStart":"2006-02-10","temporalEnd":"2006-02-10","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":195624,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11492,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1184/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92,27 ], [ -92,30.5 ], [ -88.5,30.5 ], [ -88.5,27 ], [ -92,27 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a69e4b07f02db63bf3b","contributors":{"authors":[{"text":"Dewey, James W. 0000-0001-8838-2450 jdewey@usgs.gov","orcid":"https://orcid.org/0000-0001-8838-2450","contributorId":5819,"corporation":false,"usgs":true,"family":"Dewey","given":"James","email":"jdewey@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":296446,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dellinger, Joseph A.","contributorId":74836,"corporation":false,"usgs":true,"family":"Dellinger","given":"Joseph","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":296447,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":85800,"text":"ofr20081170 - 2008 - Leachate Geochemical Results for Ash Samples from the June 2007 Angora Wildfire Near Lake Tahoe in Northern California","interactions":[],"lastModifiedDate":"2012-02-02T00:14:28","indexId":"ofr20081170","displayToPublicDate":"2008-06-27T00:00:00","publicationYear":"2008","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":"2008-1170","title":"Leachate Geochemical Results for Ash Samples from the June 2007 Angora Wildfire Near Lake Tahoe in Northern California","docAbstract":"This report releases leachate geochemical data for ash samples produced by the Angora wildfire that burned from June 24 to July 2, 2007, near Lake Tahoe in northern California. The leaching studies are part of a larger interdisciplinary study whose goal is to identify geochemical characteristics and properties of the ash that may adversely affect human health, water quality, air quality, animal habitat, endangered species, debris flows, and flooding hazards.\r\nThe leaching study helps characterize and understand the interactions that occur when the ash comes in contact with rain or snowmelt, and helps identify the constituents that may be mobilized as run-off from these materials. Similar leaching studies were conducted on ash and burned soils from the October 2007 southern California wildfires (Hageman and others, 2008; Plumlee and others, 2007).","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20081170","usgsCitation":"Hageman, P.L., Plumlee, G.S., Martin, D.A., Hoefen, T.M., Adams, M., Lamothe, P.J., Todorov, T.I., and Anthony, M.W., 2008, Leachate Geochemical Results for Ash Samples from the June 2007 Angora Wildfire Near Lake Tahoe in Northern California (Version 1.1, Revised Jul 2008): U.S. Geological Survey Open-File Report 2008-1170, iii, 11 p., https://doi.org/10.3133/ofr20081170.","productDescription":"iii, 11 p.","onlineOnly":"Y","temporalStart":"2007-06-24","temporalEnd":"2007-07-02","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":11475,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1170/","linkFileType":{"id":5,"text":"html"}},{"id":195272,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"edition":"Version 1.1, Revised Jul 2008","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ae4b07f02db6a8875","contributors":{"authors":[{"text":"Hageman, Philip L. 0000-0002-3440-2150 phageman@usgs.gov","orcid":"https://orcid.org/0000-0002-3440-2150","contributorId":811,"corporation":false,"usgs":true,"family":"Hageman","given":"Philip","email":"phageman@usgs.gov","middleInitial":"L.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":296429,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plumlee, Geoffrey S. 0000-0002-9607-5626 gplumlee@usgs.gov","orcid":"https://orcid.org/0000-0002-9607-5626","contributorId":960,"corporation":false,"usgs":true,"family":"Plumlee","given":"Geoffrey","email":"gplumlee@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":296430,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martin, Deborah A. 0000-0001-8237-0838 damartin@usgs.gov","orcid":"https://orcid.org/0000-0001-8237-0838","contributorId":1900,"corporation":false,"usgs":true,"family":"Martin","given":"Deborah","email":"damartin@usgs.gov","middleInitial":"A.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":296435,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hoefen, Todd M. 0000-0002-3083-5987 thoefen@usgs.gov","orcid":"https://orcid.org/0000-0002-3083-5987","contributorId":403,"corporation":false,"usgs":true,"family":"Hoefen","given":"Todd","email":"thoefen@usgs.gov","middleInitial":"M.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":296428,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Adams, Monique madams@usgs.gov","contributorId":1231,"corporation":false,"usgs":true,"family":"Adams","given":"Monique","email":"madams@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":296431,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lamothe, Paul J. plamothe@usgs.gov","contributorId":1298,"corporation":false,"usgs":true,"family":"Lamothe","given":"Paul","email":"plamothe@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":296433,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Todorov, Todor I. ttodorov@usgs.gov","contributorId":1605,"corporation":false,"usgs":true,"family":"Todorov","given":"Todor","email":"ttodorov@usgs.gov","middleInitial":"I.","affiliations":[],"preferred":true,"id":296434,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Anthony, Michael W. manthony@usgs.gov","contributorId":1232,"corporation":false,"usgs":true,"family":"Anthony","given":"Michael","email":"manthony@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":296432,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
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