{"pageNumber":"654","pageRowStart":"16325","pageSize":"25","recordCount":68919,"records":[{"id":70189923,"text":"70189923 - 2012 - Dissolved organic matter composition of winter flow in the Yukon River basin: Implications of permafrost thaw and increased groundwater discharge","interactions":[],"lastModifiedDate":"2017-07-31T14:16:28","indexId":"70189923","displayToPublicDate":"2012-11-17T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1836,"text":"Global Biogeochemical Cycles","active":true,"publicationSubtype":{"id":10}},"title":"Dissolved organic matter composition of winter flow in the Yukon River basin: Implications of permafrost thaw and increased groundwater discharge","docAbstract":"<p>Groundwater discharge to rivers has increased in recent decades across the circumpolar region and has been attributed to thawing permafrost in arctic and subarctic watersheds. Permafrost-driven changes in groundwater discharge will alter the flux of dissolved organic carbon (DOC) in rivers, yet little is known about the chemical composition and reactivity of dissolved organic matter (DOM) of groundwater in permafrost settings. Here, we characterize DOM composition of winter flow in 60 rivers and streams of the Yukon River basin to evaluate the biogeochemical consequences of enhanced groundwater discharge associated with permafrost thaw. DOC concentration of winter flow averaged 3.9 ± 0.5 mg C L<sup>−1</sup>, yet was highly variable across basins (ranging from 20 mg C L<sup>−1</sup>). In comparison to the summer-autumn period, DOM composition of winter flow had lower aromaticity (as indicated by specific ultraviolet absorbance at 254 nm, or SUVA<sub>254</sub>), lower hydrophobic acid content, and a higher proportion of hydrophilic compounds (HPI). Fluorescence spectroscopy and parallel factor analysis indicated enrichment of protein-like fluorophores in some, but not all, winter flow samples. The ratio of DOC to dissolved organic nitrogen, an indicator of DOM biodegradability, was positively correlated with SUVA<sub>254</sub> and negatively correlated with the percentage of protein-like compounds. Using a simple two-pool mixing model, we evaluate possible changes in DOM during the summer-autumn period across a range of conditions reflecting possible increases in groundwater discharge. Across three watersheds, we consistently observed decreases in DOC concentration and SUVA254 and increases in HPI with increasing groundwater discharge. Spatial patterns in DOM composition of winter flow appear to reflect differences in the relative contributions of groundwater from suprapermafrost and subpermafrost aquifers across watersheds. Our findings call for more explicit consideration of DOC loss and stabilization pathways associated with changing subsurface hydrology in watersheds underlain by thawing permafrost.</p>","language":"English","publisher":"Wiley","doi":"10.1029/2012GB004341","usgsCitation":"O’Donnell, J.A., Aiken, G.R., Walvoord, M.A., and Butler, K.D., 2012, Dissolved organic matter composition of winter flow in the Yukon River basin: Implications of permafrost thaw and increased groundwater discharge: Global Biogeochemical Cycles, v. 26, no. GB0E06, p. 1-18, https://doi.org/10.1029/2012GB004341.","productDescription":"18 p.","startPage":"1","endPage":"18","ipdsId":"IP-036860","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":474265,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2012gb004341","text":"Publisher Index Page"},{"id":344468,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -159.6533203125,\n              63.09475846224108\n            ],\n            [\n              -141.0205078125,\n              63.09475846224108\n            ],\n            [\n              -141.0205078125,\n              68.57644086491786\n            ],\n            [\n              -159.6533203125,\n              68.57644086491786\n            ],\n            [\n              -159.6533203125,\n              63.09475846224108\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"26","issue":"GB0E06","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2012-11-17","publicationStatus":"PW","scienceBaseUri":"5980419ee4b0a38ca2789378","contributors":{"authors":[{"text":"O’Donnell, Jonathan A. 0000-0001-7031-9808","orcid":"https://orcid.org/0000-0001-7031-9808","contributorId":191423,"corporation":false,"usgs":false,"family":"O’Donnell","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":706779,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":706778,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walvoord, Michelle Ann 0000-0003-4269-8366 walvoord@usgs.gov","orcid":"https://orcid.org/0000-0003-4269-8366","contributorId":147211,"corporation":false,"usgs":true,"family":"Walvoord","given":"Michelle","email":"walvoord@usgs.gov","middleInitial":"Ann","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":706781,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Butler, Kenna D. 0000-0001-9604-4603 kebutler@usgs.gov","orcid":"https://orcid.org/0000-0001-9604-4603","contributorId":178885,"corporation":false,"usgs":true,"family":"Butler","given":"Kenna","email":"kebutler@usgs.gov","middleInitial":"D.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":706780,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70040766,"text":"sir20125166 - 2012 - Ambient and potential denitrification rates in marsh soils of Northeast Creek and Bass Harbor Marsh watersheds, Mount Desert Island, Maine","interactions":[],"lastModifiedDate":"2022-11-22T23:09:40.485205","indexId":"sir20125166","displayToPublicDate":"2012-11-16T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5166","title":"Ambient and potential denitrification rates in marsh soils of Northeast Creek and Bass Harbor Marsh watersheds, Mount Desert Island, Maine","docAbstract":"Nutrient enrichment from atmospheric deposition, agricultural activities, wildlife, and domestic sources is a concern at Acadia National Park on Mount Desert Island, Maine, because of the potential problems of degradation of water quality and eutrophication in estuaries. Degradation of water quality has been observed at Bass Harbor Marsh estuary in the park but only minimally in Northeast Creek estuary. Previous studies at Acadia National Park have estimated nutrient inputs to estuaries from atmospheric deposition and surface-water runoff, and have identified shallow groundwater as an additional potential source of nutrients. Previous studies at Acadia National Park have assumed that a certain fraction of the nitrogen input was removed through microbial denitrification, but rates of denitrification (natural or maximum potential) in marsh soils have not been determined. The U.S. Geological Survey, in cooperation with Acadia National Park, measured in-place denitrification rates in marsh soils in Northeast Creek and in Bass Harbor Marsh watersheds during summer 2008 and summer 2009. Denitrification was measured under ambient conditions as well as after additions of inorganic nitrogen and glucose. In-place denitrification rates under ambient conditions were similar to those reported for other coastal wetlands, although they were generally lower than those reported for salt marshes having high ambient concentrations of nitrate (NO<sub>3</sub>). Denitrification rates generally increased by at least an order of magnitude following NO<sub>3</sub> additions, with or without glucose (as the carbohydrate) additions, compared with the ambient treatments that received no nutrient additions. The treatment that added both glucose and NO<sub>3</sub> resulted in a variety of denitrification responses when compared with the addition of NO<sub>3</sub> alone. In most cases, the addition of glucose to a given rate of NO3 addition resulted in higher rates of denitrification. These variable responses indicate that the amount of labile carbohydrates can limit denitrification even if NO<sub>3</sub> is present. For most sites in both watersheds, the maximum denitrification rates ranged from of 150 to 900 micromoles of nitrous oxide per square meter per hour. These rates were equivalent to the release of 37 to 221 grams of nitrogen per square meter per year. Weak positive correlations were observed for soil temperature and for measured ammonium concentration in groundwater. Weak negative correlations were observed between denitrification rate and water level and specific conductance. The rates of denitrification in Bass Harbor Marsh and Northeast Creek under ambient conditions, both of which were relatively low, indicate that NO<sub>3</sub> availability is low in both systems. It is evident from the addition of combined treatments of NO<sub>3</sub> and glucose that these marsh soils are capable of comparatively high rates of denitrification, therefore, estuarine eutrophication is not a result of nitrogen inputs to marsh soils that are in excess of the denitrification capacity in these systems. If terrestrial inputs to the estuary are the cause of the observed eutrophic condition in Bass Harbor Marsh, then these inputs to the estuary must bypass the marsh in channelized surface flow, or perhaps they circumvent the marsh in shallow groundwater seepage along subsurface pathways that enter the estuary directly.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125166","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Huntington, T.G., Culbertson, C.W., and Duff, J.H., 2012, Ambient and potential denitrification rates in marsh soils of Northeast Creek and Bass Harbor Marsh watersheds, Mount Desert Island, Maine: U.S. Geological Survey Scientific Investigations Report 2012-5166, vi, 40 p., https://doi.org/10.3133/sir20125166.","productDescription":"vi, 40 p.","numberOfPages":"50","onlineOnly":"Y","costCenters":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"links":[{"id":263215,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5166.gif"},{"id":263213,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5166/"},{"id":263214,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5166/pdf/sir2012-5166_report_508.pdf"}],"country":"United States","state":"Maine","otherGeospatial":"Bass Harbor Marsh, Mount Desert Island, Northeast Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -71.0130826839989,\n              46.780364778073675\n            ],\n            [\n              -71.0130826839989,\n              43.91367232459547\n            ],\n            [\n              -67.19938942562158,\n              43.91367232459547\n            ],\n            [\n              -67.19938942562158,\n              46.780364778073675\n            ],\n            [\n              -71.0130826839989,\n              46.780364778073675\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50a76067e4b0e93eb366ee3f","contributors":{"authors":[{"text":"Huntington, Thomas G. 0000-0002-9427-3530 thunting@usgs.gov","orcid":"https://orcid.org/0000-0002-9427-3530","contributorId":1884,"corporation":false,"usgs":true,"family":"Huntington","given":"Thomas","email":"thunting@usgs.gov","middleInitial":"G.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":468988,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Culbertson, Charles W. cculbert@usgs.gov","contributorId":1607,"corporation":false,"usgs":true,"family":"Culbertson","given":"Charles","email":"cculbert@usgs.gov","middleInitial":"W.","affiliations":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":468987,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duff, John H. jhduff@usgs.gov","contributorId":961,"corporation":false,"usgs":true,"family":"Duff","given":"John","email":"jhduff@usgs.gov","middleInitial":"H.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":468986,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70040797,"text":"sir20125214 - 2012 - Water-quality assessment and macroinvertebrate data for the Upper Yampa River watershed, Colorado, 1975 through 2009","interactions":[],"lastModifiedDate":"2012-11-16T18:35:23","indexId":"sir20125214","displayToPublicDate":"2012-11-16T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5214","title":"Water-quality assessment and macroinvertebrate data for the Upper Yampa River watershed, Colorado, 1975 through 2009","docAbstract":"A study was initiated in 2009 by the U.S. Geological Survey (USGS), in cooperation with Routt County, the Colorado Water Conservation Board, and the City of Steamboat Springs, to compile and analyze historic water-quality data and assess water-quality conditions in the Upper Yampa River watershed (UYRW) in northwestern Colorado. Water-quality data for samples collected by federal, state, and local agencies for various periods from 1975 through 2009 were compiled and assessed for streams, lakes, reservoirs, and groundwater in the UYRW, including the Elkhead Creek subwatershed and the Yampa River watershed that is upstream from Elkhead Creek. For selected physical-property and chemical-constituent data for samples collected from surface-water sites and groundwater wells in the UYRW, this report: (1) characterizes available data through statistical summaries, (2) analyzes the spatial and temporal distribution of water-quality conditions, (3) identifies temporal trends in water quality, where possible, (4) provides comparisons to federal and state water-quality standards and recommendations, and (5) identifies factors affecting the quality of water. In addition, the availability and characteristics of macroinvertebrate data collected in the UYRW are described.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125214","collaboration":"Prepared in cooperation with Routt County, the Colorado Water Conservation Board, and the City of Steamboat Springs","usgsCitation":"Bauch, N.J., Moore, J.L., Schaffrath, K.R., and Dupree, J.A., 2012, Water-quality assessment and macroinvertebrate data for the Upper Yampa River watershed, Colorado, 1975 through 2009: U.S. Geological Survey Scientific Investigations Report 2012-5214, vii, 129 p.; col. ill.; maps (col.), https://doi.org/10.3133/sir20125214.","productDescription":"vii, 129 p.; col. ill.; maps (col.)","startPage":"i","endPage":"129","numberOfPages":"140","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1975-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":263253,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5214.gif"},{"id":263251,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5214/"},{"id":263252,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5214/sir2012-5214.pdf"}],"scale":"100000","projection":"Universal Transverse Mercator","datum":"NAD 1983","country":"United States","state":"Colorado","otherGeospatial":"Yampa River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -107.5,39.8 ], [ -107.5,0.0011111111111111111 ], [ -106.5,0.0011111111111111111 ], [ -106.5,39.8 ], [ -107.5,39.8 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50a7608be4b0e93eb366ee56","contributors":{"authors":[{"text":"Bauch, Nancy J. 0000-0002-0302-2892 njbauch@usgs.gov","orcid":"https://orcid.org/0000-0002-0302-2892","contributorId":1297,"corporation":false,"usgs":true,"family":"Bauch","given":"Nancy","email":"njbauch@usgs.gov","middleInitial":"J.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":469043,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moore, Jennifer L.","contributorId":68447,"corporation":false,"usgs":true,"family":"Moore","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":469046,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schaffrath, Keelin R.","contributorId":7552,"corporation":false,"usgs":true,"family":"Schaffrath","given":"Keelin","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":469045,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dupree, Jean A. dupree@usgs.gov","contributorId":2563,"corporation":false,"usgs":true,"family":"Dupree","given":"Jean","email":"dupree@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":469044,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70040795,"text":"sir20125056 - 2012 - Preliminary assessment of sources of nitrogen in groundwater at a biosolids-application area near Deer Trail","interactions":[],"lastModifiedDate":"2012-11-16T16:21:09","indexId":"sir20125056","displayToPublicDate":"2012-11-16T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5056","title":"Preliminary assessment of sources of nitrogen in groundwater at a biosolids-application area near Deer Trail","docAbstract":"Concentrations of dissolved nitrite plus nitrate increased fairly steadily in samples from four shallow groundwater monitoring wells after biosolids applications to nonirrigated farmland began in 1993. The U.S. Geological Survey began a preliminary assessment of sources of nitrogen in shallow groundwater at part of the biosolids-application area near Deer Trail, Colorado, in 2005 in cooperation with the Metro Wastewater Reclamation District. Possible nitrogen sources in the area include biosolids, animal manure, inorganic fertilizer, atmospheric deposition, and geologic materials (bedrock and soil). Biosolids from the Metro Wastewater Reclamation District plant in Denver and biosolids, cow manure, geologic materials (bedrock and soil), and groundwater from the study area were sampled to measure nitrogen content and nitrogen isotopic compositions of nitrate or total nitrogen. Biosolids also were leached, and the leachates were analyzed for nitrogen content and other concentrations. Geologic materials from the study area also were sampled to determine mineralogy. Estimates of nitrogen contributed from inorganic fertilizer and atmospheric deposition were calculated from other published reports.\n\nThe nitrogen information from the study indicates that each of the sources contain sufficient nitrogen to potentially affect groundwater nitrate concentrations. Natural processes can transform the nitrogen in any of the sources to nitrate in the groundwater. Load calculations indicate that animal manure, inorganic fertilizer, or atmospheric deposition could have contributed the largest nitrogen load to the study area in the 13 years before biosolids applications began, but biosolids likely contributed the largest nitrogen load to the study area in the 13 years after biosolids applications began.\n\nVarious approaches provided insights into sources of nitrate in the groundwater samples from 2005. The isotopic data indicate that, of the source materials considered, biosolids and (or) animal manure were the most likely sources of nitrate in the wells at the time of sampling (2005), and that inorganic fertilizer, atmospheric deposition, and geologic materials were not substantial sources of nitrate in the wells in 2005. The large total nitrogen content of the biosolids and animal-manure samples and biosolids leachates also indicates that the biosolids and animal manure had potential to leach nitrogen and produce large dissolved nitrate concentrations in groundwater. The available data, however, could not be used to distinguish between biosolids or manure as the dominant source of nitrate in the groundwater because the nitrogen isotopic composition of the two materials is similar. Major-ion data also could not be used to distinguish between biosolids or manure as the dominant source of nitrate in the groundwater because the major-ion composition (as well as the isotopic composition) of the two materials is similar. Without additional data, chloride/bromide mass ratios do not necessarily support or refute the hypothesis that biosolids and (or) animal manure were the primary sources of nitrate in water from the study-area wells in 2005. Concentrations of water-extractable nitrate in the soil indicate that biosolids could be an important source of nitrate in the groundwater recharge. Nitrogen inventories in the soil beneath biosolids-application areas and the nitrogen-input estimates for the study area both support the comparisons of isotopic composition, which indicate that some type of human waste (such as biosolids) and (or) animal manure was the source of nitrate in groundwater sampled from the wells in 2005. The nitrogen-load estimates considered with the nitrogen isotopic data and the soil-nitrogen inventories indicate that biosolids applications likely are a major source of nitrogen to the shallow groundwater at these monitoring wells.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125056","usgsCitation":"Yager, T., and McMahon, P.B., 2012, Preliminary assessment of sources of nitrogen in groundwater at a biosolids-application area near Deer Trail: U.S. Geological Survey Scientific Investigations Report 2012-5056, iv, 30 p.; col. ill.; maps (col.), https://doi.org/10.3133/sir20125056.","productDescription":"iv, 30 p.; col. ill.; maps (col.)","startPage":"i","endPage":"30","numberOfPages":"37","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2005-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":263248,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5056/"},{"id":263249,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5056/sir2012-5056.pdf"},{"id":263250,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5056.gif"}],"country":"United States","state":"Colorado","city":"Deer Trail","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104.054766,39.595041 ], [ -104.054766,39.627831 ], [ -104.033176,39.627831 ], [ -104.033176,39.595041 ], [ -104.054766,39.595041 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50a7607ee4b0e93eb366ee4a","contributors":{"authors":[{"text":"Yager, Tracy J.B.","contributorId":10861,"corporation":false,"usgs":true,"family":"Yager","given":"Tracy J.B.","affiliations":[],"preferred":false,"id":469042,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McMahon, Peter B. 0000-0001-7452-2379 pmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":724,"corporation":false,"usgs":true,"family":"McMahon","given":"Peter","email":"pmcmahon@usgs.gov","middleInitial":"B.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":469041,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048542,"text":"70048542 - 2012 - Using hydrogeologic data to evaluate geothermal potential in the eastern Great Basin","interactions":[],"lastModifiedDate":"2017-09-20T13:33:11","indexId":"70048542","displayToPublicDate":"2012-11-15T15:27:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1827,"text":"Geothermal Resources Council Transactions","active":true,"publicationSubtype":{"id":10}},"title":"Using hydrogeologic data to evaluate geothermal potential in the eastern Great Basin","docAbstract":"In support of a larger study to evaluate geothermal resource development of high-permeability stratigraphic units in sedimentary basins, this paper integrates groundwater and thermal data to evaluate heat and fluid flow within the eastern Great Basin. Previously published information from a hydrogeologic framework, a potentiometric-surface map, and groundwater budgets was compared to a surficial heat-flow map. Comparisons between regional groundwater flow patterns and surficial heat flow indicate a strong spatial relation between regional groundwater movement and surficial heat distribution. Combining aquifer geometry and heat-flow maps, a selected group of subareas within the eastern Great Basin are identified that have high surficial heat flow and are underlain by a sequence of thick basin-fill deposits and permeable carbonate aquifers. These regions may have potential for future geothermal resources development.","conferenceTitle":"Geothermal Resources Council 2012 Annual Meeting","conferenceDate":"September 30 - October 3, 2012","conferenceLocation":"Reno, NV","language":"English","publisher":"Geothermal Resources Council","publisherLocation":"Davis, CA","issn":"01935933","isbn":"0934412979","usgsCitation":"Masbruch, M.D., Heilweil, V.M., and Brooks, L.E., 2012, Using hydrogeologic data to evaluate geothermal potential in the eastern Great Basin: Geothermal Resources Council Transactions, v. 36, p. 47-52.","productDescription":"6 p.","startPage":"47","endPage":"52","ipdsId":"IP-038338","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":279120,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279119,"type":{"id":15,"text":"Index Page"},"url":"https://www.geothermal-library.org/index.php?mode=pubs&action=view&record=1030209"}],"projection":"Albers Equal Area Conic Projection","datum":"North American Datum 1983","country":"United States","state":"Nevada, Utah","otherGeospatial":"Great Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.43,34.49 ], [ -118.43,43.0 ], [ -109.82,43.0 ], [ -109.82,34.49 ], [ -118.43,34.49 ] ] ] } } ] }","volume":"36","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5287509ee4b03b89f6f155e7","contributors":{"authors":[{"text":"Masbruch, Melissa D. 0000-0001-6568-160X mmasbruch@usgs.gov","orcid":"https://orcid.org/0000-0001-6568-160X","contributorId":1902,"corporation":false,"usgs":true,"family":"Masbruch","given":"Melissa","email":"mmasbruch@usgs.gov","middleInitial":"D.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485020,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heilweil, Victor M. heilweil@usgs.gov","contributorId":837,"corporation":false,"usgs":true,"family":"Heilweil","given":"Victor","email":"heilweil@usgs.gov","middleInitial":"M.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485019,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brooks, Lynette E. 0000-0002-9074-0939 lebrooks@usgs.gov","orcid":"https://orcid.org/0000-0002-9074-0939","contributorId":2718,"corporation":false,"usgs":true,"family":"Brooks","given":"Lynette","email":"lebrooks@usgs.gov","middleInitial":"E.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485021,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70040727,"text":"fs20123131 - 2012 - Polar bear and walrus response to the rapid decline in Arctic sea ice","interactions":[],"lastModifiedDate":"2023-10-10T15:44:37.406137","indexId":"fs20123131","displayToPublicDate":"2012-11-15T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-3131","title":"Polar bear and walrus response to the rapid decline in Arctic sea ice","docAbstract":"The Arctic is warming faster than other regions of the world due to positive climate feedbacks associated with loss of snow and ice. One highly visible consequence has been a rapid decline in Arctic sea ice over the past 3 decades - a decline projected to continue and result in ice-free summers likely as soon as 2030. The polar bear (<i>Ursus maritimus</i>) and the Pacific walrus (<i>Odobenus rosmarus divergens</i>) are dependent on sea ice over the continental shelves of the Arctic Ocean's marginal seas. The continental shelves are shallow regions with high biological productivity, supporting abundant marine life within the water column and on the sea floor. Polar bears use sea ice as a platform for hunting ice seals; walruses use sea ice as a resting platform between dives to forage for clams and other bottom-dwelling invertebrates. How have sea ice changes affected polar bears and walruses? How will anticipated changes affect them in the future?","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123131","collaboration":"Changing Arctic Ecosystems","usgsCitation":"Oakley, K.L., Whalen, M.E., Douglas, D., Udevitz, M.S., Atwood, T.C., and Jay, C., 2012, Polar bear and walrus response to the rapid decline in Arctic sea ice: U.S. Geological Survey Fact Sheet 2012-3131, 4 p., https://doi.org/10.3133/fs20123131.","productDescription":"4 p.","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":263141,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3131/pdf/fs20123131.pdf"},{"id":263140,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3131/"},{"id":263179,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3131.jpg"}],"country":"Canada, Russia, United 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mudevitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4659-138X","contributorId":3189,"corporation":false,"usgs":true,"family":"Udevitz","given":"Mark","email":"mudevitz@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":468887,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":468891,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jay, 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,{"id":70040743,"text":"70040743 - 2012 - Walrus areas of use in the Chukchi Sea during sparse sea ice cover","interactions":[],"lastModifiedDate":"2018-06-16T17:50:19","indexId":"70040743","displayToPublicDate":"2012-11-15T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Walrus areas of use in the Chukchi Sea during sparse sea ice cover","docAbstract":"The Pacific walrus <i>Odobenus rosmarus divergens</i> feeds on benthic invertebrates on the continental shelf of the Chukchi and Bering Seas and rests on sea ice between foraging trips. With climate warming, ice-free periods in the Chukchi Sea have increased and are projected to increase further in frequency and duration. We radio-tracked walruses to estimate areas of walrus foraging and occupancy in the Chukchi Sea from June to November of 2008 to 2011, years when sea ice was sparse over the continental shelf in comparison to historical records. The earlier and more extensive sea ice retreat in June to September, and delayed freeze-up of sea ice in October to November, created conditions for walruses to arrive earlier and stay later in the Chukchi Sea than in the past. The lack of sea ice over the continental shelf from September to October caused walruses to forage in nearshore areas instead of offshore areas as in the past. Walruses did not frequent the deep waters of the Arctic Basin when sea ice retreated off the shelf. Walruses foraged in most areas they occupied, and areas of concentrated foraging generally corresponded to regions of high benthic biomass, such as in the northeastern (Hanna Shoal) and southwestern Chukchi Sea. A notable exception was the occurrence of concentrated foraging in a nearshore area of northwestern Alaska that is apparently depauperate in walrus prey. With increasing sea ice loss, it is likely that walruses will increase their use of coastal haul-outs and nearshore foraging areas, with consequences to the population that are yet to be understood.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Ecology Progress Series","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Inter-Research Science Center","publisherLocation":"Oldendorf/Luhe, Germany","doi":"10.3354/meps10057","usgsCitation":"Jay, C.V., Fischbach, A.S., and Kochnev, A., 2012, Walrus areas of use in the Chukchi Sea during sparse sea ice cover: Marine Ecology Progress Series, v. 468, p. 1-13, https://doi.org/10.3354/meps10057.","productDescription":"13 p.","startPage":"1","endPage":"13","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":474269,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps10057","text":"Publisher Index Page"},{"id":438806,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7C24TC3","text":"USGS data release","linkHelpText":"Walrus areas of use in the Chukchi Sea during sparse sea ice cover"},{"id":438805,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7X928C3","text":"USGS data release","linkHelpText":"Data Supporting Walrus Areas of Use in the Chukchi Sea During Sparse Sea Ice Cover"},{"id":263178,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263177,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3354/meps10057"}],"country":"Russia;United States","state":"Alaska;Chukotka","otherGeospatial":"Chukchi Sea","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 170.0,62.0 ], [ 170.0,74.0 ], [ -150.0,74.0 ], [ -150.0,62.0 ], [ 170.0,62.0 ] ] ] } } ] }","volume":"468","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50a60f00e4b0d446a665c9bc","contributors":{"authors":[{"text":"Jay, Chadwick V. 0000-0002-9559-2189 cjay@usgs.gov","orcid":"https://orcid.org/0000-0002-9559-2189","contributorId":192736,"corporation":false,"usgs":true,"family":"Jay","given":"Chadwick","email":"cjay@usgs.gov","middleInitial":"V.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":468946,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fischbach, Anthony S. 0000-0002-6555-865X afischbach@usgs.gov","orcid":"https://orcid.org/0000-0002-6555-865X","contributorId":2865,"corporation":false,"usgs":true,"family":"Fischbach","given":"Anthony","email":"afischbach@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":468945,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kochnev, Anatoly A.","contributorId":18634,"corporation":false,"usgs":true,"family":"Kochnev","given":"Anatoly A.","affiliations":[],"preferred":false,"id":468947,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70040733,"text":"cir1378 - 2012 - Strategies for managing the effects of urban development on streams","interactions":[],"lastModifiedDate":"2018-04-02T16:31:21","indexId":"cir1378","displayToPublicDate":"2012-11-14T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1378","title":"Strategies for managing the effects of urban development on streams","docAbstract":"Urban development remains an important agent of environmental change in the United States. The U.S. population grew by 17 percent from 1982 to 1997, while urbanized land area grew by 47 percent, suggesting that urban land consumption far outpaced population growth (Fulton and others, 2001; Sierra Club, 2003; American Farmland Trust, 2009). Eighty percent of Americans now live in metropolitan areas. Each American effectively occupies about 20 percent more developed land (for housing, schools, shopping, roads, and other related services) than 20 years ago (Markham and Steinzor, 2006). Passel and Cohn (2008) predict a dramatic 48 percent increase in the population of the United States from 2005 to 2050. The advantages and challenges of living in these developed areas—convenience, congestion, employment, pollution—are part of the day-to-day realities of most Americans. Nowhere are the environmental changes associated with urban development more evident than in urban streams. The U.S. Geological Survey's National Water-Quality Assessment (NAWQA) Program investigation of the effects of urban development on stream ecosystems (EUSE) during 1999–2004 provides the most spatially comprehensive analysis of stream impacts of urban development that has been completed in the United States. A nationally consistent study design was used in nine metropolitan areas of the United States—Portland, Oregon; Salt Lake City, Utah; Birmingham, Alabama; Atlanta, Georgia; Raleigh, North Carolina; Boston, Massachusetts; Denver, Colorado; Dallas, Texas; and Milwaukee, Wisconsin. A summary report published as part of the EUSE study describes several of these impacts on urban streams (<a href=\"http://pubs.usgs.gov/circ/1373/\" target=\"_blank\">Coles and others, 2012</a>).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1378","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Cappiella, K., Stack, W.P., Fraley-McNeal, L., Lane, C., and McMahon, G., 2012, Strategies for managing the effects of urban development on streams: U.S. Geological Survey Circular 1378, vi, 69 p., https://doi.org/10.3133/cir1378.","productDescription":"vi, 69 p.","startPage":"i","endPage":"69","numberOfPages":"80","additionalOnlineFiles":"N","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":263159,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir_1378.jpg"},{"id":263157,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1378/"},{"id":263158,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1378/pdf/Circular1378.pdf"}],"country":"United States","state":"Alabama;Colorado;Georgia;Massachusetts;North Carolina;Oregon;Texas;Utah;Wisconsin","city":"Atlanta;Birmingham;Boston;Dallas;Denver;Milwaukee;Portland;Raleigh;Salt Lake City","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383333 ], [ -66.95,49.383333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50a4bd8ae4b0fd76c78323d3","contributors":{"authors":[{"text":"Cappiella, Karen","contributorId":83595,"corporation":false,"usgs":true,"family":"Cappiella","given":"Karen","email":"","affiliations":[],"preferred":false,"id":468923,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stack, William P.","contributorId":25417,"corporation":false,"usgs":true,"family":"Stack","given":"William","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":468921,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fraley-McNeal, Lisa","contributorId":96968,"corporation":false,"usgs":true,"family":"Fraley-McNeal","given":"Lisa","email":"","affiliations":[],"preferred":false,"id":468924,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lane, Cecilia","contributorId":53664,"corporation":false,"usgs":true,"family":"Lane","given":"Cecilia","email":"","affiliations":[],"preferred":false,"id":468922,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":468920,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70040731,"text":"gip143 - 2012 - Stream ecosystems change with urban development","interactions":[],"lastModifiedDate":"2018-04-02T16:31:36","indexId":"gip143","displayToPublicDate":"2012-11-14T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"143","title":"Stream ecosystems change with urban development","docAbstract":"The healthy condition of the physical living space in a natural stream—defined by unaltered hydrology (streamflow), high diversity of habitat features, and natural water chemistry—supports diverse biological communities with aquatic species that are sensitive to disturbances.\n\nIn a highly degraded urban stream, the poor condition of the physical living space—streambank and tree root damage from altered hydrology, low diversity of habitat, and inputs of chemical contaminants—contributes to biological communities with low diversity and high tolerance to disturbance.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip143","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Bell, A.H., James, F.C., and McMahon, G., 2012, Stream ecosystems change with urban development: U.S. Geological Survey General Information Product 143, 1 p.: 17 x 11 inches, https://doi.org/10.3133/gip143.","productDescription":"1 p.: 17 x 11 inches","startPage":"1","endPage":"1","numberOfPages":"1","additionalOnlineFiles":"N","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":263150,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/gip_143.jpg"},{"id":263148,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/gip/143/"},{"id":263149,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/143/pdf/GIP143.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50a4bd8fe4b0fd76c78323d8","contributors":{"authors":[{"text":"Bell, Amanda H. 0000-0002-7199-2145 ahbell@usgs.gov","orcid":"https://orcid.org/0000-0002-7199-2145","contributorId":1752,"corporation":false,"usgs":true,"family":"Bell","given":"Amanda","email":"ahbell@usgs.gov","middleInitial":"H.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":468906,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"James, F. Coles","contributorId":58154,"corporation":false,"usgs":true,"family":"James","given":"F.","email":"","middleInitial":"Coles","affiliations":[],"preferred":false,"id":468907,"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":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":468905,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70040735,"text":"fs20123118 - 2012 - Science to support the understanding of Ohio's water resources","interactions":[],"lastModifiedDate":"2012-11-14T16:18:55","indexId":"fs20123118","displayToPublicDate":"2012-11-14T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-3118","title":"Science to support the understanding of Ohio's water resources","docAbstract":"Ohio’s water resources support a complex web of human activities and nature—clean and abundant water is needed for drinking, recreation, farming, and industry, as well as for fish and wildlife needs. The distribution of rainfall can cause floods and droughts, which affects streamflow, groundwater, water availability, water quality, recreation, and aquatic habitats. Ohio is bordered by the Ohio River and Lake Erie and has over 44,000 miles of streams and more than 60,000 lakes and ponds (State of Ohio, 1994). Nearly all the rural population obtain drinking water from groundwater sources.\n\nThe U.S. Geological Survey (USGS) works in cooperation with local, State, and other Federal agencies, as well as universities, to furnish decisionmakers, policymakers, USGS scientists, and the general public with reliable scientific information and tools to assist them in management, stewardship, and use of Ohio’s natural resources. The diversity of scientific expertise among USGS personnel enables them to carry out large- and small-scale multidisciplinary studies. The USGS is unique among government organizations because it has neither regulatory nor developmental authority—its sole product is reliable, impartial, credible, relevant, and timely scientific information, equally accessible and available to everyone. The USGS Ohio Water Science Center provides reliable hydrologic and water-related ecological information to aid in the understanding of use and management of the Nation’s water resources, in general, and Ohio’s water resources, in particular. This fact sheet provides an overview of current (2012) or recently completed USGS studies and data activities pertaining to water resources in Ohio. More information regarding projects of the USGS Ohio Water Science Center is available at http://oh.water.usgs.gov/.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123118","usgsCitation":"Shaffer, K., Kula, S., Bambach, P., and Runkle, D., 2012, Science to support the understanding of Ohio's water resources: U.S. Geological Survey Fact Sheet 2012-3118, 6 p.; maps (col.), https://doi.org/10.3133/fs20123118.","productDescription":"6 p.; maps (col.)","startPage":"1","endPage":"6","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":263164,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3118.jpg"},{"id":263162,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3118/"},{"id":263163,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3118/pdf/fs2012-3118_web.pdf"}],"country":"United States","state":"Ohio","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.8203,38.4034 ], [ -84.8203,41.9773 ], [ -84.5182,41.9773 ], [ -84.5182,38.4034 ], [ -84.8203,38.4034 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50a4bd85e4b0fd76c78323ce","contributors":{"authors":[{"text":"Shaffer, Kimberly kshaffer@usgs.gov","contributorId":1589,"corporation":false,"usgs":true,"family":"Shaffer","given":"Kimberly","email":"kshaffer@usgs.gov","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":468925,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kula, Stephanie","contributorId":11893,"corporation":false,"usgs":true,"family":"Kula","given":"Stephanie","affiliations":[],"preferred":false,"id":468926,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bambach, Phil","contributorId":24642,"corporation":false,"usgs":true,"family":"Bambach","given":"Phil","email":"","affiliations":[],"preferred":false,"id":468927,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Runkle, Donna","contributorId":51317,"corporation":false,"usgs":true,"family":"Runkle","given":"Donna","affiliations":[],"preferred":false,"id":468928,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70040717,"text":"70040717 - 2012 - Salinity of the Little Colorado River in Grand Canyon confers anti-parasitic properties on a native fish","interactions":[],"lastModifiedDate":"2021-01-05T19:07:48.575073","indexId":"70040717","displayToPublicDate":"2012-11-14T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"Salinity of the Little Colorado River in Grand Canyon confers anti-parasitic properties on a native fish","docAbstract":"Water in the Little Colorado River within Grand Canyon is naturally high in salt (NaCl), which is known to prohibit development of external fish parasites such as Ich (<i>Ichthyophthirius multifiliis</i>). The naturally high salinity (>0.3%) of the Little Colorado River at baseflow may be one factor allowing survival and persistence of larval and juvenile humpback chub (<i>Gila cypha</i>) and other native fishes in Grand Canyon. We compared salinity readings from the Little Colorado River to those reported in the literature as being effective at removing protozoan parasites from fish. In laboratory tests, 10 juvenile roundtail chub (<i>Gila robusta</i>; 61–90 mm TL) were randomly placed into each of 12, 37-L aquaria filled with freshwater, water obtained from the Little Colorado River (0.3% salinity), or freshwater with table salt added until the salinity reached 0.3%. Roundtail chub was used as a surrogate for humpback chub in this study because the species is not listed as endangered but is morphologically and ecologically similar to humpback chub. All roundtail chub infected with Ich recovered and survived when placed in water from the Little Colorado River or water with 0.3% salinity, but all experimental fish placed in freshwater died because of Ich infection. The naturally high salinity of the Little Colorado River at baseflow (0.22%–0.36%), appears sufficiently high to interrupt the life cycle of Ich and may allow increased survival of larval and juvenile humpback chub relative to other areas within Grand Canyon.","language":"English","publisher":"Brigham Young University","doi":"10.3398/064.072.0307","usgsCitation":"Ward, D.L., 2012, Salinity of the Little Colorado River in Grand Canyon confers anti-parasitic properties on a native fish: Western North American Naturalist, v. 72, no. 3, p. 334-338, https://doi.org/10.3398/064.072.0307.","productDescription":"5 p.","startPage":"334","endPage":"338","ipdsId":"IP-033818","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":488983,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarsarchive.byu.edu/wnan/vol72/iss3/7","text":"External Repository"},{"id":381893,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.0572,35.6882 ], [ -114.0572,36.5318 ], [ -111.828,36.5318 ], [ -111.828,35.6882 ], [ -114.0572,35.6882 ] ] ] } } ] }","volume":"72","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50a4bd81e4b0fd76c78323c9","contributors":{"authors":[{"text":"Ward, David L. 0000-0002-3355-0637 dlward@usgs.gov","orcid":"https://orcid.org/0000-0002-3355-0637","contributorId":3879,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dlward@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":468860,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70040730,"text":"fs20123071 - 2012 - Urban development results in stressors that degrade stream ecosystems","interactions":[],"lastModifiedDate":"2018-04-02T16:31:49","indexId":"fs20123071","displayToPublicDate":"2012-11-14T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-3071","title":"Urban development results in stressors that degrade stream ecosystems","docAbstract":"In 2003, eighty-three percent of Americans lived in metropolitan areas, and considerable population increases are predicted within the next 50 years. Nowhere are the environmental changes associated with urban development more evident than in urban streams. Contaminants, habitat destruction, and increasing streamflow flashiness resulting from urban development have been associated with the disruption of biological communities, particularly the loss of sensitive aquatic biota. Every stream is connected downstream to other water bodies, and inputs of contaminants and (or) sediments to streams can cause degradation downstream with adverse effects on biological communities and on economically valuable resources, such as fisheries and tourism. Understanding how algal, invertebrate, and fish communities respond to physical and chemical stressors associated with urban development can provide important clues on how multiple stressors may be managed to protect stream health as a watershed becomes increasingly urbanized. This fact sheet highlights selected findings of a comprehensive assessment by the National Water-Quality Assessment Program of the U.S. Geological Survey (USGS) of the effects of urban development on stream ecosystems in nine metropolitan study areas.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123071","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Bell, A.H., Coles, J.F., McMahon, G., and Woodside, M., 2012, Urban development results in stressors that degrade stream ecosystems: U.S. Geological Survey Fact Sheet 2012-3071, 6 p., https://doi.org/10.3133/fs20123071.","productDescription":"6 p.","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":263153,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3071.jpg"},{"id":263151,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3071/"},{"id":263152,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3071/pdf/2012-3071.pdf"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383333 ], [ -66.95,49.383333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50a4bd95e4b0fd76c78323dd","contributors":{"authors":[{"text":"Bell, Amanda H. 0000-0002-7199-2145 ahbell@usgs.gov","orcid":"https://orcid.org/0000-0002-7199-2145","contributorId":1752,"corporation":false,"usgs":true,"family":"Bell","given":"Amanda","email":"ahbell@usgs.gov","middleInitial":"H.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":468902,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coles, James F. 0000-0002-1953-012X jcoles@usgs.gov","orcid":"https://orcid.org/0000-0002-1953-012X","contributorId":2239,"corporation":false,"usgs":true,"family":"Coles","given":"James","email":"jcoles@usgs.gov","middleInitial":"F.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":468903,"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":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":468901,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Woodside, Michael D. mdwoodsi@usgs.gov","contributorId":2903,"corporation":false,"usgs":true,"family":"Woodside","given":"Michael D.","email":"mdwoodsi@usgs.gov","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":468904,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70040726,"text":"ds725 - 2012 - Micrometeorological, evapotranspiration, and soil-moisture data at the Amargosa Desert Research site in Nye County near Beatty, Nevada, 2006-11","interactions":[],"lastModifiedDate":"2018-07-17T12:53:07","indexId":"ds725","displayToPublicDate":"2012-11-14T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"725","title":"Micrometeorological, evapotranspiration, and soil-moisture data at the Amargosa Desert Research site in Nye County near Beatty, Nevada, 2006-11","docAbstract":"This report describes micrometeorological, evapotranspiration, and soil-moisture data collected since 2006 at the Amargosa Desert Research Site adjacent to a low-level radio-active waste and hazardous chemical waste facility near Beatty, Nevada. Micrometeorological data include precipitation, solar radiation, net radiation, air temperature, relative humidity, saturated and ambient vapor pressure, wind speed and direction, barometric pressure, near-surface soil temperature, soil-heat flux, and soil-water content. Evapotranspiration (ET) data include latent-heat flux, sensible-heat flux, net radiation, soil-heat flux, soil temperature, air temperature, vapor pressure, and other principal energy-budget data. Soil-moisture data include periodic measurements of volumetric water-content at experimental sites that represent vegetated native soil, devegetated native soil, and simulated waste disposal trenches - maximum measurement depths range from 5.25 to 29.25 meters. All data are compiled in electronic spreadsheets that are included with this report.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds725","usgsCitation":"Arthur, J.M., Johnson, M.J., Mayers, C.J., and Andraski, B.J., 2012, Micrometeorological, evapotranspiration, and soil-moisture data at the Amargosa Desert Research site in Nye County near Beatty, Nevada, 2006–11: U.S. Geological Survey Data Series 725, 12 p.","productDescription":"Report: iv, 12 p.; Appendixes: A-G","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":354733,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/725/coverthb.jpg"},{"id":354735,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/725/appendixUpdates.txt","text":"Appendix updates","description":"DS 725 Appendix Updates"},{"id":354734,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/725/pdf/ds725.pdf","text":"Report","size":"566 KB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 725"},{"id":354736,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/725/data/ds725_appendixa.xlsx","text":"Appendix A","size":"17 KB xlsx","description":"DS 725 Appendix A"},{"id":354737,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/725/data/ds725_appendixb.xlsx","text":"Appendix B","size":"395 KB xlsx","description":"DS 725 Appendix B"},{"id":354738,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/725/data/ds725_appendixc.xlsx","text":"Appendix C","size":"8.9 MB xlsx","description":"DS 725 Appendix C"},{"id":354739,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/725/data/ds725_appendixd.xlsx","text":"Appendix D","size":"170 KB xlsx","description":"DS 725 Appendix D"},{"id":354740,"rank":8,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/725/data/ds725_appendixe.xlsx","text":"Appendix E","size":"27.6 MB xlsx","description":"DS 725 Appendix E"},{"id":354741,"rank":9,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/725/data/ds725_appendixf.xlsx","text":"Appendix F","size":"79 KB xlsx","description":"DS 725 Appendix F"},{"id":354742,"rank":10,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/725/data/ds725_appendixg.xlsx","text":"Appendix G","size":"142 KB xlsx","description":"DS 725 Appendix G"}],"country":"United States","state":"Nevada","county":"Nye","city":"Beatty","otherGeospatial":"Amargosa Desert","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.0,36.5 ], [ -117.0,37.0 ], [ -116.5,37.0 ], [ -116.5,36.5 ], [ -117.0,36.5 ] ] ] } } ] }","edition":"Version 1.0: November 2012; Version 1.1: March 2015; Version 1.2: June 2018","contact":"<p><a href=\"mailto:dc_nv@usgs.gov\" data-mce-href=\"mailto:dc_nv@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/nv-water\" target=\"blank\" data-mce-href=\"https://www.usgs.gov/centers/nv-water\">Nevada Water Science Center</a><br> U.S. Geological Survey<br> 2730 N. Deer Run Rd.<br> Carson City, Nevada 89701</p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Site Description<br></li><li>Methods and Instrumentation<br></li><li>Micrometeorological Data<br></li><li>Evapotranspiration Data<br></li><li>Soil-Moisture Data<br></li><li>References Cited<br></li><li>Appendixes A–G<br></li></ul>","publishedDate":"2012-11-13","revisedDate":"2018-06-05","noUsgsAuthors":false,"publicationDate":"2012-11-13","publicationStatus":"PW","scienceBaseUri":"50a4bd7ce4b0fd76c78323c4","contributors":{"authors":[{"text":"Arthur, Jonathan M.","contributorId":85844,"corporation":false,"usgs":true,"family":"Arthur","given":"Jonathan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":468884,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Michael J. johnsonm@usgs.gov","contributorId":2282,"corporation":false,"usgs":true,"family":"Johnson","given":"Michael","email":"johnsonm@usgs.gov","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":468883,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mayers, C. Justin cjmayers@usgs.gov","contributorId":94745,"corporation":false,"usgs":true,"family":"Mayers","given":"C.","email":"cjmayers@usgs.gov","middleInitial":"Justin","affiliations":[],"preferred":false,"id":468885,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Andraski, Brian J. 0000-0002-2086-0417 andraski@usgs.gov","orcid":"https://orcid.org/0000-0002-2086-0417","contributorId":168800,"corporation":false,"usgs":true,"family":"Andraski","given":"Brian","email":"andraski@usgs.gov","middleInitial":"J.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":468882,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044973,"text":"70044973 - 2012 - Use of the continuous slope-area method to estimate runoff in a network of ephemeral channels, southeast Arizona, USA","interactions":[],"lastModifiedDate":"2013-05-28T12:00:46","indexId":"70044973","displayToPublicDate":"2012-11-14T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Use of the continuous slope-area method to estimate runoff in a network of ephemeral channels, southeast Arizona, USA","docAbstract":"The continuous slope-area (CSA) method is an innovative gaging method for indirect computation of complete-event discharge hydrographs that can be applied when direct measurement methods are unsafe, impractical, or impossible to apply. This paper reports on use of the method to produce event-specific discharge hydrographs in a network of sand-bedded ephemeral stream channels in southeast Arizona, USA, for water year 2008. The method provided satisfactory discharge estimates for flows that span channel banks, and for moderate to large flows, with about 10–16% uncertainty, respectively for total flow volume and peak flow, as compared to results obtained with an alternate method. Our results also suggest that the CSA method may be useful for estimating runoff of small flows, and during recessions, but with increased uncertainty.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2012.09.022","usgsCitation":"Stewart, A.M., Callegary, J.B., Smith, C.F., Gupta, H.V., Leenhouts, J.M., and Fritzinger, R.A., 2012, Use of the continuous slope-area method to estimate runoff in a network of ephemeral channels, southeast Arizona, USA: Journal of Hydrology, v. 472-473, p. 148-158, https://doi.org/10.1016/j.jhydrol.2012.09.022.","productDescription":"11 p.","startPage":"148","endPage":"158","ipdsId":"IP-019852","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":272900,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272899,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2012.09.022"}],"country":"United States","state":"Arizona","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -110.2,3.0175 ], [ -110.2,8.333333333333334E-4 ], [ -10.15,8.333333333333334E-4 ], [ -10.15,3.0175 ], [ -110.2,3.0175 ] ] ] } } ] }","volume":"472-473","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51a5d1f0e4b0605bc571f025","contributors":{"authors":[{"text":"Stewart, Anne M. astewart@usgs.gov","contributorId":3938,"corporation":false,"usgs":true,"family":"Stewart","given":"Anne","email":"astewart@usgs.gov","middleInitial":"M.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476541,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Callegary, James B. 0000-0003-3604-0517 jcallega@usgs.gov","orcid":"https://orcid.org/0000-0003-3604-0517","contributorId":2171,"corporation":false,"usgs":true,"family":"Callegary","given":"James","email":"jcallega@usgs.gov","middleInitial":"B.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476540,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Christopher F. 0000-0002-8075-4763 cfsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-8075-4763","contributorId":1338,"corporation":false,"usgs":true,"family":"Smith","given":"Christopher","email":"cfsmith@usgs.gov","middleInitial":"F.","affiliations":[],"preferred":true,"id":476539,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gupta, Hoshin V.","contributorId":7597,"corporation":false,"usgs":true,"family":"Gupta","given":"Hoshin","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":476542,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Leenhouts, James M. 0000-0001-5171-9240 leenhout@usgs.gov","orcid":"https://orcid.org/0000-0001-5171-9240","contributorId":225,"corporation":false,"usgs":true,"family":"Leenhouts","given":"James","email":"leenhout@usgs.gov","middleInitial":"M.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476538,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fritzinger, Robert A.","contributorId":78229,"corporation":false,"usgs":true,"family":"Fritzinger","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":476543,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70040706,"text":"sir20125183 - 2012 - Conceptual and numerical models of the glacial aquifer system north of Aberdeen, South Dakota","interactions":[],"lastModifiedDate":"2017-10-14T11:24:59","indexId":"sir20125183","displayToPublicDate":"2012-11-13T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5183","title":"Conceptual and numerical models of the glacial aquifer system north of Aberdeen, South Dakota","docAbstract":"This U.S. Geological Survey report documents a conceptual and numerical model of the glacial aquifer system north of Aberdeen, South Dakota, that can be used to evaluate and manage the city of Aberdeen's water resources. The glacial aquifer system in the model area includes the Elm, Middle James, and Deep James aquifers, with intervening confining units composed of glacial till. The Elm aquifer ranged in thickness from less than 1 to about 95 feet (ft), with an average thickness of about 24 ft; the Middle James aquifer ranged in thickness from less than 1 to 91 ft, with an average thickness of 13 ft; and the Deep James aquifer ranged in thickness from less than 1 to 165 ft, with an average thickness of 23 ft. The confining units between the aquifers consisted of glacial till and ranged in thickness from 0 to 280 ft. The general direction of groundwater flow in the Elm aquifer in the model area was from northwest to southeast following the topography. Groundwater flow in the Middle James aquifer was to the southeast. Sparse data indicated a fairly flat potentiometric surface for the Deep James aquifer. Horizontal hydraulic conductivity for the Elm aquifer determined from aquifer tests ranged from 97 to 418 feet per day (ft/d), and a confined storage coefficient was determined to be 2.4x10<sup>-5</sup>. Estimates of the vertical hydraulic conductivity of the sediments separating the Elm River from the Elm aquifer, determined from the analysis of temperature gradients, ranged from 0.14 to 2.48 ft/d. Average annual precipitation in the model area was 19.6 inches per year (in/yr), and agriculture was the primary land use. Recharge to the Elm aquifer was by infiltration of precipitation through overlying outwash, lake sediments, and glacial till. The annual recharge for the model area, calculated by using a soil-water-balance method for water year (WY) 1975-2009, ranged from 0.028 inch in WY 1980 to 4.52 inches in WY 1986, with a mean of 1.56 inches. The annual potential evapotranspiration, calculated in soil-water-balance analysis, ranged from 21.8 inches in WY 1983 to 27.0 inches in WY 1985, with a mean of 24.6 inches. Water use from the glacial aquifer system primarily was from the Elm aquifer for irrigation, municipal, and suburban water supplies, and the annual rate ranged from 1.0 to 2.4 cubic feet per second (ft<sup>3</sup>/s). The MODFLOW-2005 numerical model represented the Elm aquifer, the Middle James aquifer, and the Deep James aquifer with model layers 1-3 respectively separated by confining layers 1-2 respectively. Groundwater flow was simulated with 75 stress periods beginning October 1, 1974, and ending September 30, 2009. Model grid spacing was 200 by 200 ft and boundaries were represented by specified-head boundaries and no-flow boundaries. The model used parameter estimation that focused on minimizing the difference between 954 observed and simulated hydraulic heads for 135 wells. Calibrated mean horizontal hydraulic conductivity values for model layers 1-3 were 94, 41, and 30 ft/d respectively. Vertical hydraulic conductivity values for confining layers 1 and 2 were 0.0002 and 0.0003 ft/d, respectively. Calibrated specific yield for model layer 1was 0.1 and specific storage ranged from 0.0003 to 0.0005 per foot. Calibrated mean recharge rates ranged from 2.5 in/yr where glacial till thickness was less than 10 ft to 0.8 in/yr where glacial till thickness was greater than 30 ft. Calibrated mean annual evapotranspiration rate was 8.8 in/yr. Simulated net streamflow gain from model layer 1 was 3.1 ft<sup>3</sup>/s.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125183","collaboration":"Prepared in cooperation with the city of Aberdeen","usgsCitation":"Marini, K.A., Hoogestraat, G., Aurand, K.R., and Putnam, L.D., 2012, Conceptual and numerical models of the glacial aquifer system north of Aberdeen, South Dakota: U.S. Geological Survey Scientific Investigations Report 2012-5183, x, 98 p., https://doi.org/10.3133/sir20125183.","productDescription":"x, 98 p.","numberOfPages":"112","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":263092,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5183.gif"},{"id":263090,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5183/"},{"id":263091,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5183/sir2012-5183.pdf"}],"scale":"100000","projection":"Universal Transverse Mercator projection, Zone 14 North","country":"United States","state":"South Dakota","city":"Aberdeen","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.67,45.583 ], [ -98.67,45.25 ], [ -98.17,45.25 ], [ -98.17,45.583 ], [ -98.67,45.583 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50a3b9c0e4b0855e233c0702","contributors":{"authors":[{"text":"Marini, Katrina A.","contributorId":90181,"corporation":false,"usgs":true,"family":"Marini","given":"Katrina","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":468841,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoogestraat, Galen K.","contributorId":22442,"corporation":false,"usgs":true,"family":"Hoogestraat","given":"Galen K.","affiliations":[],"preferred":false,"id":468840,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aurand, Katherine R. kaurand@usgs.gov","contributorId":2713,"corporation":false,"usgs":true,"family":"Aurand","given":"Katherine","email":"kaurand@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":468839,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Putnam, Larry D. ldputnam@usgs.gov","contributorId":990,"corporation":false,"usgs":true,"family":"Putnam","given":"Larry","email":"ldputnam@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":468838,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70040686,"text":"70040686 - 2012 - Evaluating the predictive abilities of community occupancy models using AUC while accounting for imperfect detection","interactions":[],"lastModifiedDate":"2012-11-13T12:22:11","indexId":"70040686","displayToPublicDate":"2012-11-13T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the predictive abilities of community occupancy models using AUC while accounting for imperfect detection","docAbstract":"The ability to accurately predict patterns of species' occurrences is fundamental to the successful management of animal communities.  To determine optimal management strategies, it is essential to understand species-habitat relationships and how species habitat use is related to natural or human-induced environmental changes.  Using five years of monitoring data in the Chesapeake and Ohio Canal National Historical Park, Maryland, USA, we developed four multi-species hierarchical models for estimating amphibian wetland use that account for imperfect detection during sampling. The models were designed to determine which factors (wetland habitat characteristics, annual trend effects, spring/summer precipitation, and previous wetland occupancy) were most important for predicting future habitat use. We used the models to make predictions of species occurrences in sampled and unsampled wetlands and evaluated model projections using additional data.  Using a Bayesian approach, we calculated a posterior distribution of receiver operating characteristic area under the curve (ROC AUC) values, which allowed us to explicitly quantify the uncertainty in the quality of our predictions and to account for false negatives in the evaluation dataset.  We found that wetland hydroperiod (the length of time that a wetland holds water) as well as the occurrence state in the prior year were generally the most important factors in determining occupancy.  The model with only habitat covariates predicted species occurrences well; however, knowledge of wetland use in the previous year significantly improved predictive ability at the community level and for two of 12 species/species complexes.  Our results demonstrate the utility of multi-species models for understanding which factors affect species habitat use of an entire community (of species) and provide an improved methodology using AUC that is helpful for quantifying the uncertainty in model predictions while explicitly accounting for detection biases.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","publisherLocation":"Ithaca, NY","doi":"10.1890/11-1936.1","usgsCitation":"Zipkin, E., Grant, E., and Fagan, W., 2012, Evaluating the predictive abilities of community occupancy models using AUC while accounting for imperfect detection: Ecological Applications, v. 22, no. 7, p. 1962-1972, https://doi.org/10.1890/11-1936.1.","productDescription":"11 p.","startPage":"1962","endPage":"1972","numberOfPages":"11","ipdsId":"IP-033849","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":263097,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263096,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/11-1936.1"}],"volume":"22","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50a3b9c8e4b0855e233c070a","contributors":{"authors":[{"text":"Zipkin, Elise F.","contributorId":70528,"corporation":false,"usgs":true,"family":"Zipkin","given":"Elise F.","affiliations":[],"preferred":false,"id":468789,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grant, Evan H. Campbell","contributorId":14686,"corporation":false,"usgs":true,"family":"Grant","given":"Evan H. Campbell","affiliations":[],"preferred":false,"id":468788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fagan, William F.","contributorId":108239,"corporation":false,"usgs":true,"family":"Fagan","given":"William F.","affiliations":[],"preferred":false,"id":468790,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70040687,"text":"70040687 - 2012 - Joint estimation of habitat dynamics and species interactions: Disturbance reduces co-occurrence of non-native predators with an endangered toad","interactions":[],"lastModifiedDate":"2016-09-26T14:37:41","indexId":"70040687","displayToPublicDate":"2012-11-13T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Joint estimation of habitat dynamics and species interactions: Disturbance reduces co-occurrence of non-native predators with an endangered toad","docAbstract":"<p><strong>1.</strong> Ecologists have long been interested in the processes that determine patterns of species occurrence and co-occurrence. Potential short-comings of many existing empirical approaches that address these questions include a reliance on patterns of occurrence at a single time point, failure to account properly for imperfect detection and treating the environment as a static variable.</p><p><strong>2.</strong> We fit detection and non-detection data collected from repeat visits using a dynamic site occupancy model that simultaneously accounts for the temporal dynamics of a focal prey species, its predators and its habitat. Our objective was to determine how disturbance and species interactions affect the co-occurrence probabilities of an endangered toad and recently introduced non-native predators in stream breeding habitats. For this, we determined statistical support for alternative processes that could affect co-occurrence frequency in the system.</p><p><strong>3.</strong> We collected occurrence data at stream segments in two watersheds where streams were largely ephemeral and one watershed dominated by perennial streams. Co-occurrence probabilities of toads with non-native predators were related to disturbance frequency, with low co-occurrence in the ephemeral watershed and high co-occurrence in the perennial watershed. This occurred because once predators were established at a site, they were rarely lost from the site except in cases when the site dried out. Once dry sites became suitable again, toads colonized them much more rapidly than predators, creating a period of predator-free space.</p><p><strong>4.</strong> We attribute the dynamics to a storage effect, where toads persisting outside the stream environment during periods of drought rapidly colonized sites when they become suitable again. Our results support that even in highly connected stream networks, temporal disturbance can structure frequencies with which breeding amphibians encounter non-native predators.</p><p><strong>5.</strong> Dynamic multi-state occupancy models are a powerful tool for rigorously examining hypotheses about inter-species and species–habitat interactions. In contrast to previous methods that infer dynamic processes based on static patterns in occupancy, the approach we took allows the dynamic processes that determine species–species and species–habitat interactions to be directly estimated.</p>","language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1365-2656.2012.02001.x","usgsCitation":"Miller, D., Brehme, C.S., Hines, J., Nichols, J., and Fisher, R.N., 2012, Joint estimation of habitat dynamics and species interactions: Disturbance reduces co-occurrence of non-native predators with an endangered toad: Journal of Animal Ecology, v. 81, no. 6, p. 1288-1297, https://doi.org/10.1111/j.1365-2656.2012.02001.x.","productDescription":"10 p.","startPage":"1288","endPage":"1297","numberOfPages":"10","ipdsId":"IP-029983","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":474270,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1365-2656.2012.02001.x","text":"Publisher Index Page"},{"id":263103,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263102,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2656.2012.02001.x"}],"volume":"81","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-06-15","publicationStatus":"PW","scienceBaseUri":"50a3b9d8e4b0855e233c0716","contributors":{"authors":[{"text":"Miller, David A.W.","contributorId":19423,"corporation":false,"usgs":true,"family":"Miller","given":"David A.W.","affiliations":[],"preferred":false,"id":468795,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brehme, Cheryl S. 0000-0001-8904-3354 cbrehme@usgs.gov","orcid":"https://orcid.org/0000-0001-8904-3354","contributorId":3419,"corporation":false,"usgs":true,"family":"Brehme","given":"Cheryl","email":"cbrehme@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":468793,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hines, James E. jhines@usgs.gov","contributorId":3506,"corporation":false,"usgs":true,"family":"Hines","given":"James E.","email":"jhines@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":468794,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":405,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","email":"jnichols@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":468791,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":468792,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70040700,"text":"70040700 - 2012 - Microbial colonization and controls in dryland systems","interactions":[],"lastModifiedDate":"2012-11-13T12:40:33","indexId":"70040700","displayToPublicDate":"2012-11-13T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2846,"text":"Nature Reviews Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Microbial colonization and controls in dryland systems","docAbstract":"Drylands constitute the most extensive terrestrial biome, covering more than one-third of the Earth's continental surface. In these environments, stress limits animal and plant life, so life forms that can survive desiccation and then resume growth following subsequent wetting assume the foremost role in ecosystem processes. In this Review, we describe how these organisms assemble in unique soil- and rock-surface communities to form a thin veneer of mostly microbial biomass across hot and cold deserts. These communities mediate inputs and outputs of gases, nutrients and water from desert surfaces, as well as regulating weathering, soil stability, and hydrological and nutrient cycles. The magnitude of regional and global desert-related environmental impacts is affected by these surface communities; here, we also discuss the challenges for incorporating the consideration of these communities and their effects into the management of dryland resources.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Nature Reviews Microbiology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Nature Publishing Group","publisherLocation":"London, U.K.","doi":"10.1038/nrmicro2854","usgsCitation":"Pointing, S.B., and Belnap, J., 2012, Microbial colonization and controls in dryland systems: Nature Reviews Microbiology, v. 10, no. 8, p. 551-562, https://doi.org/10.1038/nrmicro2854.","productDescription":"12 p.","startPage":"551","endPage":"562","ipdsId":"IP-036400","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":474271,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/nrmicro2854","text":"Publisher Index Page"},{"id":263106,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263105,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1038/nrmicro2854"}],"volume":"10","issue":"8","noUsgsAuthors":false,"publicationDate":"2012-07-16","publicationStatus":"PW","scienceBaseUri":"50a3b9dde4b0855e233c071a","contributors":{"authors":[{"text":"Pointing, Stephen B.","contributorId":8347,"corporation":false,"usgs":true,"family":"Pointing","given":"Stephen","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":468822,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":468821,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70040704,"text":"tm5B9 - 2012 - Determination of steroid hormones and related compounds in filtered and unfiltered water by solid-phase extraction, derivatization, and gas chromatography with tandem mass spectrometry","interactions":[],"lastModifiedDate":"2018-08-15T14:56:07","indexId":"tm5B9","displayToPublicDate":"2012-11-13T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"5-B9","title":"Determination of steroid hormones and related compounds in filtered and unfiltered water by solid-phase extraction, derivatization, and gas chromatography with tandem mass spectrometry","docAbstract":"A new analytical method has been developed and implemented at the U.S. Geological Survey National Water Quality Laboratory that determines a suite of 20 steroid hormones and related compounds in filtered water (using laboratory schedule 2434) and in unfiltered water (using laboratory schedule 4434). This report documents the procedures and initial performance data for the method and provides guidance on application of the method and considerations of data quality in relation to data interpretation. The analytical method determines 6 natural and 3 synthetic estrogen compounds, 6 natural androgens, 1 natural and 1 synthetic progestin compound, and 2 sterols: cholesterol and 3--coprostanol. These two sterols have limited biological activity but typically are abundant in wastewater effluents and serve as useful tracers. Bisphenol A, an industrial chemical used primarily to produce polycarbonate plastic and epoxy resins and that has been shown to have estrogenic activity, also is determined by the method.\n\nA technique referred to as isotope-dilution quantification is used to improve quantitative accuracy by accounting for sample-specific procedural losses in the determined analyte concentration. Briefly, deuterium- or carbon-13-labeled isotope-dilution standards (IDSs), all of which are direct or chemically similar isotopic analogs of the method analytes, are added to all environmental and quality-control and quality-assurance samples before extraction. Method analytes and IDS compounds are isolated from filtered or unfiltered water by solid-phase extraction onto an octadecylsilyl disk, overlain with a graded glass-fiber filter to facilitate extraction of unfiltered sample matrices. The disks are eluted with methanol, and the extract is evaporated to dryness, reconstituted in solvent, passed through a Florisil solid-phase extraction column to remove polar organic interferences, and again evaporated to dryness in a reaction vial. The method compounds are reacted with activated -methyl--trimethylsilyl trifluoroacetamide at 65 degrees Celsius for 1 hour to form trimethylsilyl or trimethylsilyl-enol ether derivatives that are more amenable to gas chromatographic separation than the underivatized compounds. Analysis is carried out by gas chromatography with tandem mass spectrometry using calibration standards that are derivatized concurrently with the sample extracts.\n\nAnalyte concentrations are quantified relative to specific IDS compounds in the sample, which directly compensate for procedural losses (incomplete recovery) in the determined and reported analyte concentrations. Thus, reported analyte concentrations (or analyte recoveries for spiked samples) are corrected based on recovery of the corresponding IDS compound during the quantification process. Recovery for each IDS compound is reported for each sample and represents an absolute recovery in a manner comparable to surrogate recoveries for other organic methods used by the National Water Quality Laboratory. Thus, IDS recoveries provide a useful tool for evaluating sample-specific analytical performance from an absolute mass recovery standpoint. IDS absolute recovery will differ and typically be lower than the corresponding analyte’s method recovery in spiked samples. However, additional correction of reported analyte concentrations is unnecessary and inappropriate because the analyte concentration (or recovery) already is compensated for by the isotope-dilution quantification procedure.\n\nMethod analytes were spiked at 10 and 100 nanograms per liter (ng/L) for most analytes (10 times greater spike levels were used for bisphenol A and 100 times greater spike levels were used for 3--coprostanol and cholesterol) into the following validation-sample matrices: reagent water, wastewater-affected surface water, a secondary-treated wastewater effluent, and a primary (no biological treatment) wastewater effluent. Overall method recovery for all analytes in these matrices averaged 100 percent, with overall relative standard deviation of 28 percent. Mean recoveries of the 20 individual analytes for spiked reagent-water samples prepared along with field samples and analyzed in 2009–2010 ranged from 84–104 percent, with relative standard deviations of 6–36 percent. Concentrations for two analytes, equilin and progesterone, are reported as estimated because these analytes had excessive bias or variability, or both. Additional database coding is applied to other reported analyte data as needed, based on sample-specific IDS recovery performance.\n\nDetection levels were derived statistically by fortifying reagent water at six different levels (0.1 to 4 ng/L) and range from about 0.4 to 4 ng/L for 16 analytes. Interim reporting levels applied to analytes in this report range from 0.8 to 8 ng/L. Bisphenol A and the sterols (cholesterol and 3-beta-coprostanol) were consistently detected in laboratory and field blanks. The minimum reporting levels were set at 100 ng/L for bisphenol A and at 200 ng/L for the two sterols to prevent any bias associated with the presence of these compounds in the blanks. A minimum reporting level of 2 ng/L was set for 11-ketotestosterone to minimize false positive risk from an interfering siloxane compound emanating as chromatographic-column bleed, from vial septum material, or from other sources at no more than 1 ng/L.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm5B9","collaboration":"Book 5, Chapter B9 of U.S. Geological Survey Techniques and Methods","usgsCitation":"Foreman, W., Gray, J.L., ReVello, R., Lindley, C.E., Losche, S.A., and Barber, L.B., 2012, Determination of steroid hormones and related compounds in filtered and unfiltered water by solid-phase extraction, derivatization, and gas chromatography with tandem mass spectrometry: U.S. Geological Survey Techniques and Methods 5-B9, x, 118 p.; ill., https://doi.org/10.3133/tm5B9.","productDescription":"x, 118 p.; ill.","startPage":"i","endPage":"118","numberOfPages":"131","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":263112,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_5_B9.gif"},{"id":263089,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/5b9/TM5-B9.pdf"},{"id":263088,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/5b9/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50a3b9c4e4b0855e233c0706","contributors":{"authors":[{"text":"Foreman, William T. wforeman@usgs.gov","contributorId":1473,"corporation":false,"usgs":true,"family":"Foreman","given":"William T.","email":"wforeman@usgs.gov","affiliations":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"preferred":false,"id":468831,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gray, James L. 0000-0002-0807-5635 jlgray@usgs.gov","orcid":"https://orcid.org/0000-0002-0807-5635","contributorId":1253,"corporation":false,"usgs":true,"family":"Gray","given":"James","email":"jlgray@usgs.gov","middleInitial":"L.","affiliations":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":468830,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"ReVello, Rhiannon C. rcrevell@usgs.gov","contributorId":4128,"corporation":false,"usgs":true,"family":"ReVello","given":"Rhiannon C.","email":"rcrevell@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":468833,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lindley, Chris E. clindley@usgs.gov","contributorId":2337,"corporation":false,"usgs":true,"family":"Lindley","given":"Chris","email":"clindley@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":468832,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Losche, Scott A. salosche@usgs.gov","contributorId":4694,"corporation":false,"usgs":true,"family":"Losche","given":"Scott","email":"salosche@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":468834,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Barber, Larry B. 0000-0002-0561-0831 lbbarber@usgs.gov","orcid":"https://orcid.org/0000-0002-0561-0831","contributorId":921,"corporation":false,"usgs":true,"family":"Barber","given":"Larry","email":"lbbarber@usgs.gov","middleInitial":"B.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":468829,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70155289,"text":"70155289 - 2012 - Invertebrate and fish assemblage relations to dissolved oxygen minima in lowland streams of southwestern Louisiana","interactions":[],"lastModifiedDate":"2022-11-15T15:21:38.096355","indexId":"70155289","displayToPublicDate":"2012-11-12T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Invertebrate and fish assemblage relations to dissolved oxygen minima in lowland streams of southwestern Louisiana","docAbstract":"<div class=\"para\"><p>Dissolved oxygen (DO) concentrations in lowland streams are naturally lower than those in upland streams; however, in some regions where monitoring data are lacking, DO criteria originally established for upland streams have been applied to lowland streams. This study investigated the DO concentrations at which fish and invertebrate assemblages at 35 sites located on lowland streams in southwestern Louisiana began to demonstrate biological thresholds.</p><p>Average threshold values for taxa richness, diversity and abundance metrics were 2.6 and 2.3 mg/L for the invertebrate and fish assemblages, respectively. These thresholds are approximately twice the DO concentration that some native fish species are capable of tolerating and are comparable with DO criteria that have been recently applied to some coastal streams in Louisiana and Texas. DO minima &gt;2.5 mg/L were favoured for all but extremely tolerant taxa. Extremely tolerant taxa had respiratory adaptations that gave them a competitive advantage, and their success when DO minima were &lt;2 mg/L could be related more to reductions in competition or predation than to DO concentration directly.</p><p>DO generally had an inverse relation to the amount of agriculture in the buffer area; however, DO concentrations at sites with both low and high amounts of agriculture (including three least-disturbed sites) declined to &lt;2.5 mg/L. Thus, although DO fell below a concentration that was identified as an approximate biological threshold, sources of this condition were sometimes natural (allochthonous material) and had little relation to anthropogenic activity.</p></div>","language":"English","publisher":"Wiley","doi":"10.1002/rra.2623","usgsCitation":"Justus, B., Mize, S.V., and Kroes, D., 2012, Invertebrate and fish assemblage relations to dissolved oxygen minima in lowland streams of southwestern Louisiana: River Research and Applications, v. 30, no. 1, p. 11-28, https://doi.org/10.1002/rra.2623.","productDescription":"17 p.","startPage":"11","endPage":"28","numberOfPages":"17","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-021710","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":306552,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"southwestern Louisiana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -93.84269601826499,\n              29.739642109173403\n            ],\n            [\n              -91.51525267091078,\n              29.568877718366423\n            ],\n            [\n              -91.52835272727444,\n              31.587517115832796\n            ],\n            [\n              -93.79466247826318,\n              31.80301091261765\n            ],\n            [\n              -93.49772786734353,\n              31.0615648200843\n            ],\n            [\n              -93.85142938917427,\n              29.735850494713688\n            ],\n            [\n              -93.84269601826499,\n              29.739642109173403\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"30","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2012-11-12","publicationStatus":"PW","scienceBaseUri":"55c9cb35e4b08400b1fdb715","contributors":{"authors":[{"text":"Justus, B. G. 0000-0002-3458-9656 bjustus@usgs.gov","orcid":"https://orcid.org/0000-0002-3458-9656","contributorId":2052,"corporation":false,"usgs":true,"family":"Justus","given":"B. G.","email":"bjustus@usgs.gov","affiliations":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":565497,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mize, Scott V. 0000-0001-6751-5568 svmize@usgs.gov","orcid":"https://orcid.org/0000-0001-6751-5568","contributorId":2997,"corporation":false,"usgs":true,"family":"Mize","given":"Scott","email":"svmize@usgs.gov","middleInitial":"V.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":567674,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kroes, Daniel 0000-0001-9104-9077 dkroes@usgs.gov","orcid":"https://orcid.org/0000-0001-9104-9077","contributorId":3830,"corporation":false,"usgs":true,"family":"Kroes","given":"Daniel","email":"dkroes@usgs.gov","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":567675,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70040798,"text":"70040798 - 2012 - Mapping the potential distribution of the invasive Red Shiner, Cyprinella lutrensis (Teleostei: Cyprinidae) across waterways of the conterminous United States","interactions":[],"lastModifiedDate":"2012-11-19T12:00:46","indexId":"70040798","displayToPublicDate":"2012-11-09T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":868,"text":"Aquatic Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Mapping the potential distribution of the invasive Red Shiner, Cyprinella lutrensis (Teleostei: Cyprinidae) across waterways of the conterminous United States","docAbstract":"Predicting the future spread of non-native aquatic species continues to be a high priority for natural resource managers striving to maintain biodiversity and ecosystem function. Modeling the potential distributions of alien aquatic species through spatially explicit mapping is an increasingly important tool for risk assessment and prediction. Habitat modeling also facilitates the identification of key environmental variables influencing species distributions. We modeled the potential distribution of an aggressive invasive minnow, the red shiner (Cyprinella lutrensis), in waterways of the conterminous United States using maximum entropy (Maxent). We used inventory records from the USGS Nonindigenous Aquatic Species Database, native records for C. lutrensis from museum collections, and a geographic information system of 20 raster climatic and environmental variables to produce a map of potential red shiner habitat. Summer climatic variables were the most important environmental predictors of C. lutrensis distribution, which was consistent with the high temperature tolerance of this species. Results from this study provide insights into the locations and environmental conditions in the US that are susceptible to red shiner invasion.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Aquatic Invasions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"REABIC","publisherLocation":"Helsinki, Finland","doi":"10.3391/ai.2012.7.3.009","usgsCitation":"Poulos, H.M., Chernoff, B., Fuller, P., and Butman, D., 2012, Mapping the potential distribution of the invasive Red Shiner, Cyprinella lutrensis (Teleostei: Cyprinidae) across waterways of the conterminous United States: Aquatic Invasions, v. 7, no. 3, p. 377-385, https://doi.org/10.3391/ai.2012.7.3.009.","productDescription":"9 p.","startPage":"377","endPage":"385","ipdsId":"IP-035517","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":474273,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/ai.2012.7.3.009","text":"Publisher Index Page"},{"id":263264,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263263,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3391/ai.2012.7.3.009"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -0.01611111111111111,5.555555555555556E-4 ], [ -0.01611111111111111,0.0011111111111111111 ], [ -67,0.0011111111111111111 ], [ -67,5.555555555555556E-4 ], [ -0.01611111111111111,5.555555555555556E-4 ] ] ] } } ] }","volume":"7","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50abfc1ce4b0afbc75eb985e","contributors":{"authors":[{"text":"Poulos, Helen M.","contributorId":75271,"corporation":false,"usgs":true,"family":"Poulos","given":"Helen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":469049,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chernoff, Barry","contributorId":25701,"corporation":false,"usgs":true,"family":"Chernoff","given":"Barry","email":"","affiliations":[],"preferred":false,"id":469047,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fuller, Pam L. 0000-0002-9389-9144","orcid":"https://orcid.org/0000-0002-9389-9144","contributorId":91226,"corporation":false,"usgs":true,"family":"Fuller","given":"Pam L.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":469050,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Butman, David","contributorId":51011,"corporation":false,"usgs":true,"family":"Butman","given":"David","affiliations":[],"preferred":false,"id":469048,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70040697,"text":"sir20125178 - 2012 - Bankfull-channel geometry and discharge curves for the Rocky Mountains Hydrologic Region in Wyoming","interactions":[],"lastModifiedDate":"2012-11-09T14:45:25","indexId":"sir20125178","displayToPublicDate":"2012-11-09T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5178","title":"Bankfull-channel geometry and discharge curves for the Rocky Mountains Hydrologic Region in Wyoming","docAbstract":"Regional curves relate bankfull-channel geometry and bankfull discharge to drainage area in regions with similar runoff characteristics and are used to estimate the bankfull discharge and bankfull-channel geometry when the drainage area of a stream is known. One-variable, ordinary least-squares regressions relating bankfull discharge, cross-sectional area, bankfull width, and bankfull mean depth to drainage area were developed from data collected at 35 streamgages in or near Wyoming. Watersheds draining to these streamgages are within the Rocky Mountains Hydrologic Region of Wyoming and neighboring states.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125178","collaboration":"Prepared in cooperation with the Wyoming Department of Environmental Quality, Wyoming Game and Fish Department, and the U.S. Department of Agriculture Forest Service, Region 2","usgsCitation":"Foster, K., 2012, Bankfull-channel geometry and discharge curves for the Rocky Mountains Hydrologic Region in Wyoming: U.S. Geological Survey Scientific Investigations Report 2012-5178, iv, 20 p., https://doi.org/10.3133/sir20125178.","productDescription":"iv, 20 p.","numberOfPages":"27","costCenters":[{"id":684,"text":"Wyoming Water Science Center","active":false,"usgs":true}],"links":[{"id":263072,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5178.gif"},{"id":263070,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5178/"},{"id":263071,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5178/sir2012-5178.pdf"}],"scale":"2000000","projection":"Albers Equal-area Conic projection","datum":"North American Datum of 1983","country":"United States","state":"Colorado;Montana;Wyoming","otherGeospatial":"Rocky Mountains","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.0,40.0 ], [ -112.0,45.5 ], [ -104.0,45.5 ], [ -104.0,40.0 ], [ -112.0,40.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"509e25e7e4b0cbd9af3af6fd","contributors":{"authors":[{"text":"Foster, Katharine","contributorId":38664,"corporation":false,"usgs":true,"family":"Foster","given":"Katharine","email":"","affiliations":[],"preferred":false,"id":468810,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70040698,"text":"sir20125187 - 2012 - Simulated effects of alternative withdrawal strategies on groundwater flow in the unconfined Kirkwood-Cohansey aquifer system, the Rio Grande water-bearing zone, and the Atlantic City 800-foot sand in the Great Egg Harbor and Mullica River Basins, New Jersey","interactions":[],"lastModifiedDate":"2019-02-21T10:44:00","indexId":"sir20125187","displayToPublicDate":"2012-11-09T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5187","title":"Simulated effects of alternative withdrawal strategies on groundwater flow in the unconfined Kirkwood-Cohansey aquifer system, the Rio Grande water-bearing zone, and the Atlantic City 800-foot sand in the Great Egg Harbor and Mullica River Basins, New Jersey","docAbstract":"Groundwater is essential for water supply and plays a critical role in maintaining the environmental health of freshwater and estuarine ecosystems in the Atlantic Coastal basins of New Jersey. The unconfined Kirkwood-Cohansey aquifer system and the confined Atlantic City 800-foot sand are major sources of groundwater in the area, and each faces different water-supply concerns. The U.S. Geological Survey (USGS), in cooperation with the New Jersey Department of Environmental Protection (NJDEP), conducted a study to simulate the effects of withdrawals in the Kirkwood-Cohansey aquifer system, the Atlantic City 800-foot sand, and the Rio Grande water-bearing zone and to evaluate potential scenarios. The study area encompasses Atlantic County and parts of Burlington, Camden, Gloucester, Ocean, Cape May, and Cumberland Counties. The major hydrogeologic units affecting water supply in the study area are the surficial Kirkwood-Cohansey aquifer system, a thick diatomaceous clay confining unit in the upper part of Kirkwood Formation; the Rio Grande water-bearing zone; and the Atlantic City 800-foot sand of the Kirkwood Formation. Hydrogeologic data from 18 aquifer tests and specific capacity data from 230 wells were analyzed to provide horizontal hydraulic conductivity of the aquifers. Groundwater withdrawals are greatest from the Kirkwood-Cohansey aquifer system, and 65 percent of the water is used for public supply. Groundwater withdrawals from the Atlantic City 800-foot sand are about half those from the Kirkwood-Cohansey aquifer system. Ninety-five percent of the withdrawals from the Atlantic City 800-foot sand is used for public supply. Data from six streamgaging stations and 51 low-flow partial record sites were used to estimate base flow in the area. Base flow ranges from 60 to 92 percent of streamflow. A groundwater flow model of the Kirkwood-Cohansey aquifer system, the Rio Grande water-bearing zone, and the Atlantic City 800-foot sand was developed and calibrated using water-level data from 148 wells and base-flow data from 22 gaging or low-flow partial record stations. The Kirkwood-Cohansey aquifer system within the Great Egg Harbor River and the Mullica River Basins was simulated on a monthly basis from 1998 through 2006. An existing regional model of the New Jersey Coastal Plain was revised to provide boundary conditions for the Great Egg Harbor and Mullica River Basin model (referred to as the Great Egg-Mullica model). In the Great Egg-Mullica model, monthly groundwater recharge rates used in the model ranged from 10-15 inches per year in 2001 to 20-25 inches per year in 2005. The mean-absolute error for 10 of the 14 long-term hydrographs used in model calibration was less than 5 ft. Groundwater flow budgets for the Great Egg-Mullica model calibration periods, May 2005 and September 2006, and for the entire model calibration period 1998 to 2006, showed that nearly 70 percent of the water entering the Atlantic City 800-foot sand came from the horizontal connection with the Kirkwood-Cohansey aquifer system in updip areas. The groundwater flow model was used to simulate scenarios under three possible conditions: average 1998 to 2006 withdrawals (Average scenario), full-allocation withdrawals (Full Allocation scenario), and projected 2050-demand withdrawals (2050 Demand scenario). Withdrawals in the Full Allocation scenario are nearly twice the withdrawals from the Average scenario, primarily because of the potential for large agricultural withdrawals if all allocations are used. Withdrawals for the 2050 Demand scenario are about 50 percent greater than those for the Average scenario, primarily due to expected increases in withdrawals for public supply. Monthly base-flow depletion criteria were determined using the Low-Flow Margin method, currently under consideration by NJDEP, to estimate available water on an annual basis at the Hydrologic Unit Code 11 (HUC11) level and to determine whether a water-supply deficit exists. Simulations of various groundwater-withdrawal scenarios were made using the calibrated model, and results were compared with baseline conditions (no withdrawals) to determine where and when base-flow deficits may be occurring and may be expected to occur in the future. Scenarios were simulated to assess base-flow depletion that could occur from different groundwater-withdrawal situations. In the Average scenario, deficits occurred in 7 of the 14 subbasins. In the Full Allocation scenario, deficits occurred in 11 of the subbasins. In the 2050 Demand scenario, deficits occurred in 9 of the 14 subbasins. The largest deficits occurred in the Absecon Creek subbasin because the base-flow depletion criteria for this subbasin is small due to the surface-water diversions that are already occurring there and because existing groundwater withdrawals in the subbasin have resulted in base-flow depletion under current (1998-2006) conditions. Three adjusted scenarios, variations of the Average, Full Allocation, and 2050 Demand scenarios, were simulated; for the adjusted scenarios, the withdrawals were modified in stages with the intent to successively eliminate or minimize the base-flow deficits. Modifications included shifting withdrawals to a deeper part of the Kirkwood-Cohansey aquifer system, implementing seasonal conjunctive use of shallow and deep aquifers, and specifying reductions in withdrawals within a HUC11 subbasin in deficit. The adjusted scenarios are intended to show the relative effectiveness of each of the three approaches in reducing the deficits. Most of the deficits under the Average, Full Allocation, and 2050 Demand scenarios were eliminated by reductions in withdrawals or allocations. Shifting withdrawals to a deeper part of the Kirkwood-Cohansey aquifer system or seasonal conjunctive use did not eliminate deficits for any subbasin. Reductions in withdrawals accounted for more than 95 percent of the total reduction of deficits in all but one subbasin.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125187","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"Pope, D.A., Carleton, G.B., Buxton, D.E., Walker, R.L., Shourds, J.L., and Reilly, P.A., 2012, Simulated effects of alternative withdrawal strategies on groundwater flow in the unconfined Kirkwood-Cohansey aquifer system, the Rio Grande water-bearing zone, and the Atlantic City 800-foot sand in the Great Egg Harbor and Mullica River Basins, New Jersey: U.S. Geological Survey Scientific Investigations Report 2012-5187, Report: x, 139 p.; Appendixes: 2-3, https://doi.org/10.3133/sir20125187.","productDescription":"Report: x, 139 p.; Appendixes: 2-3","numberOfPages":"153","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":263087,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5187.png"},{"id":263086,"rank":0,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5187/support/sir2012-5187-appendix3.xls","text":"Appendix 3","linkFileType":{"id":3,"text":"xlsx"}},{"id":263083,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5187/","text":"Index Page","linkFileType":{"id":5,"text":"html"}},{"id":263084,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5187/support/sir2012-5187.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"}},{"id":263085,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5187/support/sir2012-5187-appendix2.xls","text":"Appendix 2","linkFileType":{"id":3,"text":"xlsx"}},{"id":361403,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F70G3J3J","text":"MODFLOW-2000 model used to evaluate alternative withdrawal strategies on groundwater flow in the unconfined Kirkwood-Cohansey aquifer system, the Rio Grande water-bearing zone, and the Atlantic City 800-foot sand in the Great Egg Harbor and Mullica River Basins, New Jersey"}],"scale":"24000","country":"United States","state":"New Jersey","otherGeospatial":"Great Egg Harbor;Mullica River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.5,39.0 ], [ -75.5,40.25 ], [ -73.75,40.25 ], [ -73.75,39.0 ], [ -75.5,39.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"509e2607e4b0cbd9af3af711","contributors":{"authors":[{"text":"Pope, Daryll A. dpope@usgs.gov","contributorId":3796,"corporation":false,"usgs":true,"family":"Pope","given":"Daryll","email":"dpope@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":468813,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carleton, Glen B. 0000-0002-7666-4407 carleton@usgs.gov","orcid":"https://orcid.org/0000-0002-7666-4407","contributorId":3795,"corporation":false,"usgs":true,"family":"Carleton","given":"Glen","email":"carleton@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":468812,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buxton, Debra E. dbuxton@usgs.gov","contributorId":4777,"corporation":false,"usgs":true,"family":"Buxton","given":"Debra","email":"dbuxton@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":468814,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walker, Richard L.","contributorId":38961,"corporation":false,"usgs":true,"family":"Walker","given":"Richard","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":468816,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shourds, Jennifer L. 0000-0002-7631-9734 jshourds@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-9734","contributorId":5821,"corporation":false,"usgs":true,"family":"Shourds","given":"Jennifer","email":"jshourds@usgs.gov","middleInitial":"L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":468815,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reilly, Pamela A. 0000-0002-2937-4490 jankowsk@usgs.gov","orcid":"https://orcid.org/0000-0002-2937-4490","contributorId":653,"corporation":false,"usgs":true,"family":"Reilly","given":"Pamela","email":"jankowsk@usgs.gov","middleInitial":"A.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":468811,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70040691,"text":"sir20125240 - 2012 - Concentrations, loads, and yields of select constituents from major tributaries of the Mississippi and Missouri Rivers in Iowa, water years 2004-2008","interactions":[],"lastModifiedDate":"2012-11-09T09:11:28","indexId":"sir20125240","displayToPublicDate":"2012-11-09T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5240","title":"Concentrations, loads, and yields of select constituents from major tributaries of the Mississippi and Missouri Rivers in Iowa, water years 2004-2008","docAbstract":"Excess nutrients, suspended-sediment loads, and the presence of pesticides in Iowa rivers can have deleterious effects on water quality in State streams, downstream major rivers, and the Gulf of Mexico. Fertilizer and pesticides are used to support crop growth on Iowa's highly productive agricultural landscape and for household and commercial lawns and gardens. Water quality was characterized near the mouths of 10 major Iowa tributaries to the Mississippi and Missouri Rivers from March 2004 through September 2008. Stream loads were calculated for select ions, nutrients, and sediment using approximately monthly samples, and samples from storm and snowmelt events. Water-quality samples collected using standard streamflow-integrated protocols were analyzed for major ions, nutrients, carbon, pesticides, and suspended sediment. Statistical data summaries of sample data used parametric and nonparametric techniques to address potential bias related to censored data and multiple levels of censoring of data below analytical detection limits. Constituent stream loads were computed using standard pre-defined models in S-LOADEST that include streamflow and time terms plus additional terms for streamflow variability and streamflow anomalies. Streamflow variability terms describe the difference in streamflow from recent average conditions, whereas streamflow anomaly terms account for deviations from average conditions from long- to short-term sequentially. Streamflow variability or anomaly terms were included in 44 of 80 site/constituent individual models, demonstrating the usefulness of these terms in increasing accuracy of the load estimates. Constituent concentrations in Iowa streams exhibit streamflow, seasonal, and spatial patterns related to the landform and climate gradients across the studied basins. The streamflow-concentration relation indicated dilution for ions such as chloride and sulfate. Other constituent concentrations, such as dissolved organic carbon and suspended sediment, increased with streamflow. Nitrogen concentrations (total nitrogen and nitrate plus nitrite) increased with low and moderate streamflows, but decreased with high streamflows. Seasonal patterns observed in constituent concentrations were affected by streamflow, algae blooms, and pesticide application. The various landform regions produced different water-quality responses across the study basins; for example, total phosphorus, suspended sediment, and turbidity were greatest from the steep, loess-dominated southwestern Iowa basins. Nutrient concentrations, though not regulated for drinking water at the study sites, were high compared to drinking-water limits and criteria for protection of aquatic life proposed for other Midwestern states (Iowa criteria for aquatic life have not been proposed). Nitrate plus nitrite concentrations exceeded the drinking-water limit [10 milligrams per liter (mg/L)] in 11 percent of all samples at the 10 sites, and exceeded Minnesota's proposed aquatic life criteria (4.9 mg/L) in 68 percent of samples. The Wisconsin standard for total phosphorus (0.1 mg/L) was exceeded in 92 percent of samples. Ammonia standards, current during sample collection and at publication of this report, for protection of aquatic life were met for all samples, but draft criteria proposed in 2009 to protect more sensitive species like mussels, were exceeded at three sites. Loads and yields also differed among sites and years. The Big Sioux, Little Sioux, and Des Moines Rivers produced the greatest sulfate yields. Mississippi River tributaries had greater chloride yields than Missouri River tributaries. The Big Sioux River also had the lowest silica yields and total nitrogen and nitrate yields, whereas nitrogen yields were greater in the northeastern rivers. The Boyer and Nishnabotna River total phosphorus yields were the greatest in the study. The Boyer River orthophosphate yields were greatest except in 2008, when the Maquoketa River produced the greatest yield. Rivers in southwestern Iowa's Western Loess Hills and Steeply Rolling Loess Prairie ecoregions had the greatest suspended-sediment yields, whereas the smallest yields were in the Big Sioux and Wapsipinicon Rivers. In the 10 Iowa rivers studied, combined annual total nitrogen stream transport ranged from 3.68 to 9.95 tons per square mile per year, and total phosphorus transport ranged from 0.138 to 0.570 tons per square mile per year. Six-month loads relative to fertilizer use ranged from 8 to 56 percent for nitrogen, and 1.0 to 11.1 percent for phosphorus. The smallest loads relative to fertilizer use for both nitrogen and phosphorus occurred in July-December of dry years, and the largest nitrogen and phosphorus loads relative to use were in wet years from January-June.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125240","collaboration":"In cooperation with the Iowa Department of Natural Resources","usgsCitation":"Garrett, J.D., 2012, Concentrations, loads, and yields of select constituents from major tributaries of the Mississippi and Missouri Rivers in Iowa, water years 2004-2008: U.S. Geological Survey Scientific Investigations Report 2012-5240, vi, 61 p., https://doi.org/10.3133/sir20125240.","productDescription":"vi, 61 p.","numberOfPages":"72","onlineOnly":"Y","ipdsId":"IP-016631","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":263043,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5240.gif"},{"id":263042,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5240/sir2012-5240.pdf"},{"id":263039,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5240/"}],"projection":"Albers Equal-area Conic projection","country":"United States","state":"Iowa;Minnesota;South Dakota","otherGeospatial":"Mississippi River;Missouri River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.0,40.0 ], [ -97.0,46.0 ], [ -85.0,46.0 ], [ -85.0,40.0 ], [ -97.0,40.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"509e25f3e4b0cbd9af3af701","contributors":{"authors":[{"text":"Garrett, Jessica D. 0000-0002-4466-3709 jgarrett@usgs.gov","orcid":"https://orcid.org/0000-0002-4466-3709","contributorId":4229,"corporation":false,"usgs":true,"family":"Garrett","given":"Jessica","email":"jgarrett@usgs.gov","middleInitial":"D.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":468799,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70040694,"text":"sim3228 - 2012 - Flood-inundation maps for the Leaf River at Hattiesburg, Mississippi","interactions":[],"lastModifiedDate":"2012-11-09T11:57:32","indexId":"sim3228","displayToPublicDate":"2012-11-09T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3228","title":"Flood-inundation maps for the Leaf River at Hattiesburg, Mississippi","docAbstract":"Digital flood-inundation maps for a 1.7-mile reach of the Leaf River were developed by the U.S. Geological Survey (USGS) in cooperation with the City of Hattiesburg, City of Petal, Forrest County, Mississippi Emergency Management Agency, Mississippi Department of Homeland Security, and the Emergency Management District. The Leaf River study reach extends from just upstream of the U.S. Highway 11 crossing to just downstream of East Hardy/South Main Street and separates the cities of Hattiesburg and Petal, Mississippi. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at <a href=\"http://water.usgs.gov/osw/flood_inundation/\" target=\"_blank\">http://water.usgs.gov/osw/flood_inundation/</a>, depict estimates of the areal extent of flooding corresponding to selected water-surface elevations (stages) at the USGS streamgage at Leaf River at Hattiesburg, Mississippi (02473000). Current conditions at the USGS streamgage may be obtained through the National Water Information System Web site at <a href=\"http://waterdata.usgs.gov/ms/nwis/uv/?site_no=02473000&PARAmeter_cd=00065,00060\" target=\"_blank\">http://waterdata.usgs.gov/ms/nwis/uv/?site_no=02473000&PARAmeter_cd=00065,00060</a>. In addition, the information has been provided to the National Weather Service (NWS) for incorporation into their Advanced Hydrologic Prediction Service (AHPS) flood-warning system (<a href=\"http://water.weather.gov/ahps/\" target=\"_blank\">http://water.weather.gov/ahps/</a>). The NWS forecasts flood hydrographs at many places that are often collocated at USGS streamgages. The forecasted peak-stage information, available on the AHPS Web site, may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation. In this study, flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model. The model was calibrated using the most current stage-discharge relations at the Leaf River at Hattiesburg, Mississippi, streamgage and documented high-water marks from recent and historical floods. The hydraulic model was then used to determine 13 water-surface profiles for flood stages at 1.0-foot intervals referenced to the streamgage datum and ranging from bankfull to approximately the highest recorded water-surface elevation at the streamgage. The simulated water-surface profiles were then combined with a geographic information system digital elevation model [derived from Light Detection and Ranging (LiDAR) data having a 0.6-foot vertical accuracy and 9.84-foot horizontal resolution] in order to delineate the area flooded at each 1-foot increment of stream stage. The availability of these maps, when combined with real-time stage information from USGS streamgages and forecasted stream stage from the NWS, provides emergency management personnel and residents with critical information during flood-response activities, such as evacuations and road closures, as well as for post-flood recovery efforts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3228","collaboration":"Prepared in cooperation with the City of Hattiesburg, City of Petal, Forrest County, Mississippi Emergency Management Agency, Mississippi Department of Homeland Security, and the Emergency Management District","usgsCitation":"Storm, J.B., 2012, Flood-inundation maps for the Leaf River at Hattiesburg, Mississippi: U.S. Geological Survey Scientific Investigations Map 3228, Pamphlet: vi, 8 p.; 13 Sheets: 17 x 22 inches; Downloads directory, https://doi.org/10.3133/sim3228.","productDescription":"Pamphlet: vi, 8 p.; 13 Sheets: 17 x 22 inches; Downloads directory","numberOfPages":"18","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":394,"text":"Mississippi Water Science Center","active":true,"usgs":true}],"links":[{"id":263066,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3228.jpg"},{"id":263052,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3228/download/"},{"id":263053,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3228/sheets/sim_3228_sheet1.pdf"},{"id":263054,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3228/sheets/sim_3228_sheet2.pdf"},{"id":263055,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3228/sheets/sim_3228_sheet3.pdf"},{"id":263056,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3228/sheets/sim_3228_sheet4.pdf"},{"id":263057,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3228/sheets/sim_3228_sheet6.pdf"},{"id":263050,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3228/"},{"id":263051,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3228/pdf/sim_3228.pdf"},{"id":263058,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3228/sheets/sim_3228_sheet5.pdf"},{"id":263059,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3228/sheets/sim_3228_sheet7.pdf"},{"id":263060,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3228/sheets/sim_3228_sheet8.pdf"},{"id":263061,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3228/sheets/sim_3228_sheet9.pdf"},{"id":263062,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3228/sheets/sim_3228_sheet10.pdf"},{"id":263063,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3228/sheets/sim_3228_sheet11.pdf"},{"id":263064,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3228/sheets/sim_3228_sheet12.pdf"},{"id":263065,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3228/sheets/sim_3228_sheet13.pdf"}],"projection":"Transverse Mercator projection","datum":"North American Datum of 1983 and North American Vergical Datum of 1988","country":"United States","state":"Mississippi","county":"Forrest County","otherGeospatial":"Leaf River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89.32,31.3 ], [ -89.32,31.37 ], [ -89.25,31.37 ], [ -89.25,31.3 ], [ -89.32,31.3 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"509e2601e4b0cbd9af3af70d","contributors":{"authors":[{"text":"Storm, John B. 0000-0002-5657-536X jbstorm@usgs.gov","orcid":"https://orcid.org/0000-0002-5657-536X","contributorId":3684,"corporation":false,"usgs":true,"family":"Storm","given":"John","email":"jbstorm@usgs.gov","middleInitial":"B.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":468801,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
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