Heat from wildfires can produce a two-layer system composed of extremely dry soil covered by a layer of ash, which when subjected to rainfall, may produce extreme floods. To understand the soil physics controlling runoff for these initial conditions, we used a small, portable disk infiltrometer to measure two hydraulic properties: (1) near-saturated hydraulic conductivity, Kf and (2) sorptivity, S(θi), as a function of initial soil moisture content, θi, ranging from extremely dry conditions (θi < 0.02 cm3 cm−3) to near saturation. In the field and in the laboratory replicate measurements were made of ash, reference soils, soils unaffected by fire, and fire-affected soils. Each has a different degrees of water repellency that influences Kf and S(θi).
Values of Kf ranged from 4.5 × 10−3 to 53 × 10−3 cm s−1 for ash; from 0.93 × 10−3 to 130 × 10−3 cm s−1 for reference soils; and from 0.86 × 10−3 to 3.0 × 10−3 cm s−1, for soil unaffected by fire, which had the lowest values of Kf. Measurements indicated that S(θi) could be represented by an empirical non-linear function of θi with a sorptivity maximum of 0.18–0.20 cm s−0.5, between 0.03 and 0.08 cm3 cm−3. This functional form differs from the monotonically decreasing non-linear functions often used to represent S(θi) for rainfall–runoff modeling. The sorptivity maximum may represent the combined effects of gravity, capillarity, and adsorption in a transitional domain corresponding to extremely dry soil, and moreover, it may explain the observed non-linear behavior, and the critical soil-moisture threshold of water repellent soils. Laboratory measurements of Kf and S(θi) are the first for ash and fire-affected soil, but additional measurements are needed of these hydraulic properties for in situ fire-affected soils. They provide insight into water repellency behavior and infiltration under extremely dry conditions. Most importantly, they indicate how existing rainfall–runoff models can be modified to accommodate a possible two-layer system in extremely dry conditions. These modified models can be used to predict floods from burned watersheds under these initial conditions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2009.10.015","usgsCitation":"Moody, J.A., David Kinner, and Ubeda, X., 2009, Linking hydraulic properties of fire-affected soils to infiltration and water repellency: Journal of Hydrology, v. 379, no. 3-4, p. 291-303, https://doi.org/10.1016/j.jhydrol.2009.10.015.","productDescription":"13 p.","startPage":"291","endPage":"303","ipdsId":"IP-012022","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":344461,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"379","issue":"3-4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"598041a0e4b0a38ca27893a1","contributors":{"authors":[{"text":"Moody, John A. 0000-0003-2609-364X jamoody@usgs.gov","orcid":"https://orcid.org/0000-0003-2609-364X","contributorId":771,"corporation":false,"usgs":true,"family":"Moody","given":"John","email":"jamoody@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":706783,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"David Kinner","contributorId":195336,"corporation":false,"usgs":false,"family":"David Kinner","affiliations":[],"preferred":false,"id":706784,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ubeda, Xavier","contributorId":195337,"corporation":false,"usgs":false,"family":"Ubeda","given":"Xavier","email":"","affiliations":[],"preferred":false,"id":706785,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":98079,"text":"ofr20091281 - 2009 - Land Cover Change in the Boston Mountains, 1973-2000","interactions":[],"lastModifiedDate":"2012-02-10T00:11:52","indexId":"ofr20091281","displayToPublicDate":"2009-12-30T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-1281","title":"Land Cover Change in the Boston Mountains, 1973-2000","docAbstract":"The U.S. Geological Survey (USGS) Land Cover Trends project is focused on understanding the rates, trends, causes, and consequences of contemporary U.S. land-cover change. The objectives of the study are to: (1) to develop a comprehensive methodology for using sampling and change analysis techniques and Landsat Multispectral Scanner (MSS), Thematic Mapper (TM), and Enhanced Thematic Mapper Plus (ETM+) data to measure regional land-cover change across the United States; (2) to characterize the types, rates, and temporal variability of change for a 30-year period; (3) to document regional driving forces and consequences of change; and (4) to prepare a national synthesis of land-cover change (Loveland and others, 1999).\r\n\r\nThe 1999 Environmental Protection Agency (EPA) Level III ecoregions derived from Omernik (1987) provide the geographic framework for the geospatial data collected between 1973 and 2000. The 27-year study period was divided into five temporal periods: 1973-1980, 1980-1986, 1986-1992, 1992-2000, and 1973-2000, and the data are evaluated using a modified Anderson Land Use Land Cover Classification System (Anderson and others, 1976) for image interpretation.\r\n\r\nThe rates of land-cover change are estimated using a stratified, random sampling of 10-kilometer (km) by 10-km blocks allocated within each ecoregion. For each sample block, satellite images are used to interpret land-cover change for the five time periods previously mentioned. Additionally, historic aerial photographs from similar time frames and other ancillary data, such as census statistics and published literature, are used. The sample block data are then incorporated into statistical analyses to generate an overall change matrix for the ecoregion.\r\n\r\nField data of the sample blocks include direct measurements of land cover, particularly ground-survey data collected for training and validation of image classifications (Loveland and others, 2002). The field experience allows for additional observations of the character and condition of the landscape, assistance in sample block interpretation, ground truthing of Landsat imagery, and determination of the driving forces of change identified in an ecoregion.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091281","usgsCitation":"Karstensen, K.A., 2009, Land Cover Change in the Boston Mountains, 1973-2000: U.S. Geological Survey Open-File Report 2009-1281, iv, 11 p., https://doi.org/10.3133/ofr20091281.","productDescription":"iv, 11 p.","temporalStart":"1973-01-01","temporalEnd":"2000-12-31","costCenters":[{"id":383,"text":"Mid-Continent Geographic Science Center","active":true,"usgs":true}],"links":[{"id":125781,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1281.jpg"},{"id":13313,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1281/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -96,34 ], [ -96,37.5 ], [ -90.5,37.5 ], [ -90.5,34 ], [ -96,34 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b32e4b07f02db6b43ed","contributors":{"authors":[{"text":"Karstensen, Krista A. kkarstensen@usgs.gov","contributorId":286,"corporation":false,"usgs":true,"family":"Karstensen","given":"Krista","email":"kkarstensen@usgs.gov","middleInitial":"A.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":304083,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70239101,"text":"70239101 - 2009 - Vadose water","interactions":[],"lastModifiedDate":"2022-12-27T13:52:36.137904","indexId":"70239101","displayToPublicDate":"2009-12-27T07:48:18","publicationYear":"2009","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Vadose water","docAbstract":"Vadose water is subsurface water between the land surface and the saturated zone below the water table. The vadose (or unsaturated) zone includes soil water, which is immediately available to the biosphere. It acts as a controlling agent in the transmission of water and other substances between various components of the earth system: aquifers, land surface, bodies of water, atmosphere, and so on. As an accessible body of material near the earth's surface, the vadose zone is a focus of much human activity, including agriculture, mining, construction, and waste disposal. Thus, it is affected by anthropogenic modifications of its chemical and physical components. Modern hydrology must consider interactions not only among the natural constituents, but also with a wide variety of contaminants, including pesticides, fertilizers, irrigation wastewater, sewage, toxic chemicals, radioactive substances, bacteria, mine wastes, and organic liquids.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of Inland Waters","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elesvier","doi":"10.1016/B978-012370626-3.00014-4","usgsCitation":"Nimmo, J.R., 2009, Vadose water, chap. of Encyclopedia of Inland Waters, p. 766-777, https://doi.org/10.1016/B978-012370626-3.00014-4.","productDescription":"12 p.","startPage":"766","endPage":"777","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":411063,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nimmo, John R. 0000-0001-8191-1727 jrnimmo@usgs.gov","orcid":"https://orcid.org/0000-0001-8191-1727","contributorId":757,"corporation":false,"usgs":true,"family":"Nimmo","given":"John","email":"jrnimmo@usgs.gov","middleInitial":"R.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":860058,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":98071,"text":"ofr20081362 - 2009 - Computer programs for obtaining and analyzing daily mean streamflow data from the U.S. Geological Survey National Water Information System web site","interactions":[],"lastModifiedDate":"2021-12-06T19:01:49.160563","indexId":"ofr20081362","displayToPublicDate":"2009-12-23T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2008-1362","displayTitle":"Computer Programs for Obtaining and Analyzing Daily Mean Streamflow Data from the U.S. Geological Survey National Water Information System Web Site","title":"Computer programs for obtaining and analyzing daily mean streamflow data from the U.S. Geological Survey National Water Information System web site","docAbstract":"Five computer programs were developed for obtaining and analyzing streamflow from the National Water Information System (NWISWeb). The programs were developed as part of a study by the U.S. Geological Survey, in cooperation with the Federal Highway Administration, to develop a stochastic empirical loading and dilution model. The programs were developed because reliable, efficient, and repeatable methods are needed to access and process streamflow information and data. The first program is designed to facilitate the downloading and reformatting of NWISWeb streamflow data. The second program is designed to facilitate graphical analysis of streamflow data. The third program is designed to facilitate streamflow-record extension and augmentation to help develop long-term statistical estimates for sites with limited data. The fourth program is designed to facilitate statistical analysis of streamflow data. The fifth program is a preprocessor to create batch input files for the U.S. Environmental Protection Agency DFLOW3 program for calculating low-flow statistics. These computer programs were developed to facilitate the analysis of daily mean streamflow data for planning-level water-quality analyses but also are useful for many other applications pertaining to streamflow data and statistics.
These programs and the associated documentation are included on the CD-ROM accompanying this report. This report and the appendixes on the CD-ROM describe the implementation and use of the programs and the interpretation of results from the programs. The body of this report provides an overview of the five programs included on this CD-ROM. The appendixes are the software manuals for each program. These manuals describe statistical and numerical methods used to implement each program, input-file formats, output-file formats, installation of the programs, and use of the programs. Each appendix is written as a self-contained manual because each program may have many uses alone or in tandem with other programs on the CD-ROM. Each of these programs uses graphical user interface that follows standard Microsoft Windows interface conventions.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20081362","collaboration":"Prepared in cooperation with the U.S. Department of Transportation, Federal Highway Administration, Office of Natural and Human Environment","usgsCitation":"Granato, G., 2009, Computer programs for obtaining and analyzing daily mean streamflow data from the U.S. Geological Survey National Water Information System web site (Version 1.0): U.S. Geological Survey Open-File Report 2008-1362, Available online and on CD-ROM: Report, Appendixes, ReadMe, Computer Programs, https://doi.org/10.3133/ofr20081362.","productDescription":"Available online and on CD-ROM: Report, Appendixes, ReadMe, Computer Programs","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":377,"text":"Massachusetts-Rhode Island Water Science Center","active":false,"usgs":true}],"links":[{"id":438844,"rank":101,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7ZC814B","text":"USGS data release","linkHelpText":"Data mining and analysis software for USGS NWIS Web streamflow data"},{"id":126629,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2008_1362.jpg"},{"id":392501,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2008/1362/ofr2008-1362pdfs/ofr2008-1362_main-508w.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":13305,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1362/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b19e4b07f02db6a7b4e","contributors":{"authors":[{"text":"Granato, Gregory E. 0000-0002-2561-9913 ggranato@usgs.gov","orcid":"https://orcid.org/0000-0002-2561-9913","contributorId":1692,"corporation":false,"usgs":true,"family":"Granato","given":"Gregory E.","email":"ggranato@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":304061,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":98070,"text":"sir20095173 - 2009 - Geohydrology and Water Quality of the Valley-Fill Aquifer System in the Upper Sixmile Creek and West Branch Owego Creek Valleys in the Town of Caroline, Tompkins County, New York","interactions":[],"lastModifiedDate":"2012-03-08T17:16:29","indexId":"sir20095173","displayToPublicDate":"2009-12-23T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-5173","title":"Geohydrology and Water Quality of the Valley-Fill Aquifer System in the Upper Sixmile Creek and West Branch Owego Creek Valleys in the Town of Caroline, Tompkins County, New York","docAbstract":"In 2002, the U.S. Geological Survey, in cooperation with the Town of Caroline and Tompkins County Planning Department, began a study of the valley-fill aquifer system in upper Sixmile Creek and headwaters of West Branch Owego Creek valleys in the Town of Caroline, NY. The purpose of the study is to provide geohydrologic data to county and town planners as they develop a strategy to manage and protect their water resources. The first aquifer reach investigated in this series is in the Town of Caroline and includes the upper Sixmile Creek valley and part of West Branch Owego Creek valley. The portions of the valley-fill aquifer system that are comprised of saturated coarse-grained sediments including medium to coarse sand and sandy gravel form the major aquifers. Confined sand and gravel units form the major aquifers in the western and central portions of the upper Sixmile Creek valley, and an unconfined sand and gravel unit forms the major aquifer in the eastern portion of the upper Sixmile Creek valley and in the headwaters of the West Branch Owego Creek valley.\r\n\r\nThe valley-fill deposits are thinnest near the edges of the valley where they pinch out along the till-mantled bedrock valley walls. The thickness of the valley fill in the deepest part of the valley, at the western end of the study area, is about 100 feet (ft); the thickness is greater than 165 ft on top of the Valley Heads Moraine in the central part of the valley.\r\n\r\nAn estimated 750 people live over and rely on groundwater from the valley-fill aquifers in upper Sixmile Creek and West Branch Owego Creek valleys. Most groundwater withdrawn from the valley-fill aquifers is pumped from wells with open-ended 6-inch diameter casings; the remaining withdrawals are from shallow dug wells or cisterns that collect groundwater that discharges to springs (especially in the Brooktondale area). The valley-fill aquifers are the sources of water for about 200 households, several apartment complexes, two mobile home parks, a school, and several farms and small businesses. Most groundwater that is withdrawn from pumped wells is returned to the groundwater system via septic systems.\r\n\r\nGroundwater in the upper and basal confined aquifers in the upper Sixmile Creek valley is under artesian conditions everywhere except where the water discharges to springs along bluffs in the western end of the Sixmile Creek valley. Principal sources of recharge to the confined aquifers are (1) the sides of the valley where the confined aquifers may extend up along the flank of the bedrock valley wall and crop out at land surface or are overlain and in contact with surficial coarse-grained deltaic and fluvial sediments that provide a pathway through which direct precipitation and seepage losses from tributary streams can reach the buried aquifers, or (2) where the buried aquifers are isolated and receive recharge only from adjacent fine-grained sediment and bedrock.\r\n\r\nThe base-flow and runoff components of total streamflow at two streamgages, Sixmile Creek at Brooktondale and Sixmile Creek at Bethel Grove, were calculated using hydrograph-separation techniques from 2003 to 2007 discharge records. Base flow constituted 64 and 56 percent of the total annual flow at the Brooktondale and Bethel Grove streamgages, respectively.\r\n\r\nWater-quality samples were collected from 2003 to 2005, with 10 surface-water samples collected seasonally during base-flow conditions at the Sixmile Creek at Brooktondale streamgage, and 12 samples were collected during base-flow conditions at several selected tributaries from 2004 to 2005. The predominant cation detected in the surface-water samples was calcium, but moderate amounts of magnesium, silica, and sodium were also detected; the major anions were bicarbonate, chloride, and sulfate. Sodium and chloride concentrations were relatively low in all samples but increased downstream from the Sixmile Creek sampling site at Six Hundred Road near Slaterville Springs, NY, to B","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095173","isbn":"9781411326179","collaboration":"Prepared in cooperation with the Town of Caroline and Tompkins County Planning Department","usgsCitation":"Miller, T.S., 2009, Geohydrology and Water Quality of the Valley-Fill Aquifer System in the Upper Sixmile Creek and West Branch Owego Creek Valleys in the Town of Caroline, Tompkins County, New York: U.S. Geological Survey Scientific Investigations Report 2009-5173, viii, 57 p., https://doi.org/10.3133/sir20095173.","productDescription":"viii, 57 p.","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":125786,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5173.jpg"},{"id":13304,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5173/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.75,42.166666666666664 ], [ -76.75,42.666666666666664 ], [ -76.25,42.666666666666664 ], [ -76.25,42.166666666666664 ], [ -76.75,42.166666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1be4b07f02db6a8d78","contributors":{"authors":[{"text":"Miller, Todd S. tsmiller@usgs.gov","contributorId":1190,"corporation":false,"usgs":true,"family":"Miller","given":"Todd","email":"tsmiller@usgs.gov","middleInitial":"S.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304060,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":98061,"text":"sir20095232 - 2009 - Examination of Direct Discharge Measurement Data and Historic Daily Data for Selected Gages on the Middle Mississippi River, 1861-2008","interactions":[],"lastModifiedDate":"2012-03-08T17:16:29","indexId":"sir20095232","displayToPublicDate":"2009-12-19T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-5232","title":"Examination of Direct Discharge Measurement Data and Historic Daily Data for Selected Gages on the Middle Mississippi River, 1861-2008","docAbstract":"An examination of data from two continuous stage and discharge streamgages and one continuous stage-only gage on the Middle Mississippi River was made to determine stage-discharge relation changes through time and to investigate cause-and-effect mechanisms through evaluation of hydraulic geometry, channel elevation and water-surface elevation data. Data from discrete, direct measurements at the streamgages at St. Louis, Missouri, and Chester, Illinois, during the period of operation by the U.S. Geological Survey from 1933 to 2008 were examined for changes with time. Daily stage values from the streamgages at St. Louis (1861-2008) and Chester (1891-2008) and the stage-only gage at Cape Girardeau, Missouri (1896-2008), throughout the historic period of record also were examined for changes with time. Stage and discharge from measurements and stage-discharge relations at the streamgages at St. Louis and Chester indicate that stage for a given discharge has changed with time at both locations. An apparent increase in stage for a given discharge at increased flows (greater than flood stage) likely is caused by the raising of levees on the flood plains, and a decrease in stage for a given discharge at low flows (less than one-half flood stage) likely is caused by a combination of dikes in the channel that deepen the channel thalweg at the end of the dikes, and reduced sediment flux into the Middle Mississippi River. Since the 1960s at St. Louis, Missouri, the stage-discharge relations indicated no change or a decrease in stage for a given discharge for all discharges, whereas at Chester, Illinois, the stage-discharge relations indicate increasing stage for a given discharge above bankfull because of sediment infilling of the overflow channel.\r\n\r\nTop width and average velocity from measurements at a given discharge for the streamgage at St. Louis, Missouri, were relatively constant through time, with the only substantial change in top width resulting from the change in measurement location from the Municipal/MacArthur Bridge to the Poplar Street Bridge in 1968. The average bed elevation appeared to be lowering with time at both measurement locations at St. Louis. Flow in the Horse Island Chute overflow channel for the streamgage at Chester, Illinois had an effect on top width and average velocity from measurements, and this effect changed with time as the inflow channel to Horse Island Chute filled with sediment. Top width from measurements at a given discharge was consistent through time at the Chester streamgage when adjusted to remove the part of the flow through Horse Island Chute. Average velocity from measurements at a given discharge appears to be increasing with time, possibly as a result of a series of dikes built or extended in the channel immediately upstream from the Chester streamgage; however, the average bed elevation for all discharges less than bankfull at the Chester streamgage fluctuate around an average value from 1948 to 2000, and the fluctuations appear to be related to the occurrence of moderate and large floods.\r\n\r\nDaily stage and discharge values available for the streamgage at St. Louis, Missouri, from 1861 to 1932 display distinct, fixed relations that change slightly with time before operation by the U.S. Geological Survey, indicating daily discharge was obtained from the daily stage value during this timeframe. A sudden and substantial reduction of about 24 percent at the upper end of the ratings for discharge at a given stage occurred between 1932 and 1933 when the U.S. Geological Survey began operating the streamgage. This change likely is the result of the change to Price AA current meters from other, less-accurate methods used for discharge measurements before 1933. Based on modeling results for the Middle Mississippi River by the U.S. Army Corps of Engineers and the findings of this study, the accuracy of the historic record before 1933 is questionable, and needs to be examined further.\r\n\r\nThe differ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095232","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Huizinga, R.J., 2009, Examination of Direct Discharge Measurement Data and Historic Daily Data for Selected Gages on the Middle Mississippi River, 1861-2008: U.S. Geological Survey Scientific Investigations Report 2009-5232, viii, 60 p., https://doi.org/10.3133/sir20095232.","productDescription":"viii, 60 p.","temporalStart":"1861-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":125863,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5232.jpg"},{"id":13295,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5232/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.5,36.5 ], [ -90.5,39 ], [ -88.75,39 ], [ -88.75,36.5 ], [ -90.5,36.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e48e4e4b07f02db54f8cc","contributors":{"authors":[{"text":"Huizinga, Richard J. 0000-0002-2940-2324 huizinga@usgs.gov","orcid":"https://orcid.org/0000-0002-2940-2324","contributorId":2089,"corporation":false,"usgs":true,"family":"Huizinga","given":"Richard","email":"huizinga@usgs.gov","middleInitial":"J.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304043,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":98054,"text":"sir20095235 - 2009 - Quality of Streams in Johnson County, Kansas, and Relations to Environmental Variables, 2003-07","interactions":[],"lastModifiedDate":"2012-03-08T17:16:29","indexId":"sir20095235","displayToPublicDate":"2009-12-17T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-5235","title":"Quality of Streams in Johnson County, Kansas, and Relations to Environmental Variables, 2003-07","docAbstract":"The quality of streams and relations to environmental variables in Johnson County, northeastern Kansas, were evaluated using water, streambed sediment, land use, streamflow, habitat, algal periphyton (benthic algae), and benthic macroinvertebrate data. Water, streambed sediment, and macroinvertebrate samples were collected in March 2007 during base flow at 20 stream sites that represent 11 different watersheds in the county. In addition, algal periphyton samples were collected twice (spring and summer 2007) at one-half of the sites. Environmental data including water and streambed-sediment chemistry data (primarily nutrients, fecal-indicator bacteria, and organic wastewater compounds), land use, streamflow, and habitat data were used in statistical analyses to evaluate relations between biological conditions and variables that may affect them. This report includes an evaluation of water and streambed-sediment chemistry, assessment of habitat conditions, comparison of biological community attributes (such as composition, diversity, and abundance) among sampling sites, placement of sampling sites into impairment categories, evaluation of biological data relative to environmental variables, and evaluation of changes in biological communities and effects of urbanization. This evaluation is useful for understanding factors that affect stream quality, for improving water-quality management programs, and for documenting changing conditions over time. The information will become increasingly important for protecting streams in the future as urbanization continues.\r\n\r\nResults of this study indicate that the biological quality at nearly all biological sampling sites in Johnson County has some level of impairment. Periphyton taxa generally were indicative of somewhat degraded conditions with small to moderate amounts of organic enrichment. Camp Branch in the Blue River watershed was the only site that met State criteria for full support of aquatic life in 2007. Since 2003, biological quality improved at one rural sampling site, possibly because of changes in wastewater affecting the site, and declined at three urban sites possibly because of the combined effects of ongoing development. Rural streams in the western and southern parts of the county, with land-use conditions similar to those found at the State reference site (Captain Creek), continue to support some organisms normally associated with healthy streams.\r\n\r\nSeveral environmental factors contribute to biological indicators of stream quality. The primary factor explaining biological quality at sites in Johnson County was the amount of urbanization upstream in the watershed. Specific conductance of stream water, which is a measure of dissolved solids in water and is determined primarily by the amount of groundwater contributing to streamflow, the amount of urbanization, and discharges from wastewater and industrial sites, was strongly negatively correlated with biological stream quality as indicated by macroinvertebrate metrics. Concentration of polycyclic aromatic hydrocarbons (PAHs) in streambed sediment also was negatively correlated with biological stream quality. Individual habitat variables that most commonly were positively correlated with biological indicators included stream sinuosity, buffer length, and substrate cover diversity. Riffle substrate embeddedness and sediment deposition commonly were negatively correlated with favorable metric scores. Statistical analysis indicated that specific conductance, impervious surface area (a measure of urbanization), and stream sinuosity explained 85 percent of the variance in macroinvertebrate communities.\r\n\r\nManagement practices affecting environmental variables that appear to be most important for Johnson County streams include protection of stream corridors, measures that reduce the effects of impervious surfaces associated with urbanization, reduction of dissolved solids in stream water, reduction of PAHs entering streams and ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095235","isbn":"9781411326170","collaboration":"Prepared in cooperation with the Johnson County Stormwater Management Program","usgsCitation":"Rasmussen, T.J., Poulton, B.C., and Graham, J.L., 2009, Quality of Streams in Johnson County, Kansas, and Relations to Environmental Variables, 2003-07: U.S. Geological Survey Scientific Investigations Report 2009-5235, viii, 85 p., https://doi.org/10.3133/sir20095235.","productDescription":"viii, 85 p.","temporalStart":"2003-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":125774,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5235.jpg"},{"id":13288,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5235/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.08333333333333,38.666666666666664 ], [ -95.08333333333333,39.083333333333336 ], [ -94.58333333333333,39.083333333333336 ], [ -94.58333333333333,38.666666666666664 ], [ -95.08333333333333,38.666666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a8fe4b07f02db655104","contributors":{"authors":[{"text":"Rasmussen, Teresa J. 0000-0002-7023-3868 rasmuss@usgs.gov","orcid":"https://orcid.org/0000-0002-7023-3868","contributorId":3336,"corporation":false,"usgs":true,"family":"Rasmussen","given":"Teresa","email":"rasmuss@usgs.gov","middleInitial":"J.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":304019,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poulton, Barry C. 0000-0002-7219-4911 bpoulton@usgs.gov","orcid":"https://orcid.org/0000-0002-7219-4911","contributorId":2421,"corporation":false,"usgs":true,"family":"Poulton","given":"Barry","email":"bpoulton@usgs.gov","middleInitial":"C.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":304018,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":1769,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer","email":"jlgraham@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304017,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":98050,"text":"sir20095076 - 2009 - Mercury Loads in the South River and Simulation of Mercury Total Maximum Daily Loads (TMDLs) for the South River, South Fork Shenandoah River, and Shenandoah River: Shenandoah Valley, Virginia","interactions":[],"lastModifiedDate":"2012-03-08T17:16:29","indexId":"sir20095076","displayToPublicDate":"2009-12-17T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-5076","title":"Mercury Loads in the South River and Simulation of Mercury Total Maximum Daily Loads (TMDLs) for the South River, South Fork Shenandoah River, and Shenandoah River: Shenandoah Valley, Virginia","docAbstract":"Due to elevated levels of methylmercury in fish, three streams in the Shenandoah Valley of Virginia have been placed on the State's 303d list of contaminated waters. These streams, the South River, the South Fork Shenandoah River, and parts of the Shenandoah River, are downstream from the city of Waynesboro, where mercury waste was discharged from 1929-1950 at an industrial site. To evaluate mercury contamination in fish, this total maximum daily load (TMDL) study was performed in a cooperative effort between the U.S. Geological Survey, the Virginia Department of Environmental Quality, and the U.S. Environmental Protection Agency. The investigation focused on the South River watershed, a headwater of the South Fork Shenandoah River, and extrapolated findings to the other affected downstream rivers. A numerical model of the watershed, based on Hydrological Simulation Program-FORTRAN (HSPF) software, was developed to simulate flows of water, sediment, and total mercury. Results from the investigation and numerical model indicate that contaminated flood-plain soils along the riverbank are the largest source of mercury to the river. Mercury associated with sediment accounts for 96 percent of the annual downstream mercury load (181 of 189 kilograms per year) at the mouth of the South River. Atmospherically deposited mercury contributes a smaller load (less than 1 percent) as do point sources, including current discharge from the historic industrial source area. In order to determine how reductions of mercury loading to the stream could reduce methylmercury concentrations in fish tissue below the U.S. Environmental Protection Agency criterion of 0.3 milligrams per kilogram, multiple scenarios were simulated. Bioaccumulation of mercury was expressed with a site-specific exponential relation between aqueous total mercury and methylmercury in smallmouth bass, the indicator fish species. Simulations indicate that if mercury loading were to decrease by 98.9 percent from 189 to 2 kilograms per year, fish tissue methylmercury concentrations would drop below 0.3 milligrams per kilogram. Based on the simulations, the estimated maximum load of total mercury that can enter the South River without causing fish tissue methylmercury concentrations to rise above 0.3 milligrams per kilogram is 2.03 kilograms per year for the South River, and 4.12 and 6.06 kilograms per year for the South Fork Shenandoah River and Shenandoah River, respectively.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095076","isbn":"9781411325999","collaboration":"Prepared in cooperation with the Virginia Department of Environmental Quality and the U.S. Environmental Protection Agency","usgsCitation":"Eggleston, J., 2009, Mercury Loads in the South River and Simulation of Mercury Total Maximum Daily Loads (TMDLs) for the South River, South Fork Shenandoah River, and Shenandoah River: Shenandoah Valley, Virginia: U.S. Geological Survey Scientific Investigations Report 2009-5076, xii, 80 p., https://doi.org/10.3133/sir20095076.","productDescription":"xii, 80 p.","additionalOnlineFiles":"Y","costCenters":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":125940,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5076.jpg"},{"id":13284,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5076/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -79.5,37.75 ], [ -79.5,39.5 ], [ -77.75,39.5 ], [ -77.75,37.75 ], [ -79.5,37.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a49e4b07f02db623ca3","contributors":{"authors":[{"text":"Eggleston, Jack","contributorId":46648,"corporation":false,"usgs":true,"family":"Eggleston","given":"Jack","email":"","affiliations":[],"preferred":false,"id":304009,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":98048,"text":"sim3079 - 2009 - Geologic Map of MTM 35337, 40337, and 45337 Quadrangles, Deuteronilus Mensae Region of Mars","interactions":[],"lastModifiedDate":"2016-12-28T14:35:21","indexId":"sim3079","displayToPublicDate":"2009-12-17T00:00:00","publicationYear":"2009","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":"3079","title":"Geologic Map of MTM 35337, 40337, and 45337 Quadrangles, Deuteronilus Mensae Region of Mars","docAbstract":"Deuteronilus Mensae, first defined as an albedo feature at lat 35.0 deg N., long 5.0 deg E., by U.S. Geological Survey (USGS) and International Astronomical Union (IAU) nomenclature, is a gradational zone along the dichotomy boundary in the northern mid-latitudes of Mars. The boundary in this location includes the transition from the rugged cratered highlands of Arabia Terra to the northern lowland plains of Acidalia Planitia. Within Deuteronilus Mensae, polygonal mesas are prominent along with features diagnostic of Martian fretted terrain, including lobate debris aprons, lineated valley fill, and concentric crater fill. Lobate debris aprons, as well as the valley and crater fill deposits, are geomorphic indicators of ground ice, and their concentration in Deuteronilus Mensae is of great interest because of their potential association with Martian climate change. The paucity of impact craters on the surfaces of debris aprons and the presence of ice-cemented mantle material imply young (for example, Amazonian) surface ages that are consistent with recent climate change in this region of Mars. \r\n\r\nNorth of Deuteronilus Mensae are the northern lowlands, a potential depositional sink that may have had large standing bodies of water or an ocean in the past. The northern lowlands have elevations that are several kilometers below the ancient cratered highlands with significantly younger surface ages. The morphologic and topographic characteristics of the Deuteronilus Mensae region record a diverse geologic history, including significant modification of the ancient highland plateau and resurfacing of low-lying regions. Previous studies of this region have interpreted a complex array of geologic processes, including eolian, fluvial and glacial activity, coastal erosion, marine deposition, mass wasting, tectonic faulting, effusive volcanism, and hydrovolcanism. \r\n\r\nThe origin and age of the Martian crustal dichotomy boundary are fundamental questions that remain unresolved at the present time. Several scenarios for its formation, including single and multiple large impact events, have been proposed and debated in the literature. Endogenic processes whereby crust is thinned by internal mantle convection and tectonic processes have also been proposed. Planetary accretion models and isotopic data from Martian meteorites suggest that the crust formed very early in Martian history. Using populations of quasi-circular depressions extracted from the topography of Mars, other studies suggest that the age difference between the highlands and lowlands could be ~100 m.y.. Furthermore, understanding the origin and age of the dichotomy boundary has been made more complicated due to significant erosion and deposition that have modified the boundary and its adjacent regions. The resulting diversity of terrains and features is likely a combined result of ancient and recent events. Detailed geologic analyses of dichotomy boundary zones are important for understanding the spatial and temporal variations in highland evolution. This information, and comparisons to other highland regions, can help elucidate the scale of potential environmental changes. \r\n\r\nPrevious geomorphic and geologic mapping investigations of the Deuteronilus Mensae region have been completed at local to global scales. The regional geology was first mapped by Lucchitta (1978) at 1:5,000,000 scale using Mariner 9 data. This study concluded that high crater flux early in Martian history formed overlapping craters and basins that were later filled by voluminous lava flows that buried the impacted surface, creating the highlands. After this period of heavy bombardment, fluvial erosion of the highlands formed the canyons and valleys, followed by dissection that created the small mesas and buttes, and later, formation of the steep escarpment marking the present-day northern highland margin. After valley dissection, mass wasting and eolian processes caused lateral retreat of mesas and buttes","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sim3079","collaboration":"Prepared for the National Aeronautics and Space Administration","usgsCitation":"Chuang, F.C., and Crown, D., 2009, Geologic Map of MTM 35337, 40337, and 45337 Quadrangles, Deuteronilus Mensae Region of Mars: U.S. Geological Survey Scientific Investigations Map 3079, Map Sheet: 37 x 44 inches; Pamphlet: 17 p., https://doi.org/10.3133/sim3079.","productDescription":"Map Sheet: 37 x 44 inches; Pamphlet: 17 p.","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":125783,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3079.jpg"},{"id":13282,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3079/","linkFileType":{"id":5,"text":"html"}}],"scale":"1004000","projection":"Transverse Mercator","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ae4b07f02db6a8663","contributors":{"authors":[{"text":"Chuang, Frank C.","contributorId":35600,"corporation":false,"usgs":true,"family":"Chuang","given":"Frank","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":304006,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crown, David A.","contributorId":102582,"corporation":false,"usgs":true,"family":"Crown","given":"David A.","affiliations":[],"preferred":false,"id":304007,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98051,"text":"sir20095113 - 2009 - Hydrogeologic and Hydraulic Characterization of the Surficial Aquifer System, and Origin of High Salinity Groundwater, Palm Beach County, Florida","interactions":[],"lastModifiedDate":"2012-02-10T00:11:52","indexId":"sir20095113","displayToPublicDate":"2009-12-17T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-5113","title":"Hydrogeologic and Hydraulic Characterization of the Surficial Aquifer System, and Origin of High Salinity Groundwater, Palm Beach County, Florida","docAbstract":"Previous studies of the hydrogeology of the surficial aquifer system in Palm Beach County, Florida, have focused mostly on the eastern one-half to one-third of the county in the more densely populated coastal areas. These studies have not placed the hydrogeology in a framework in which stratigraphic units in this complex aquifer system are defined and correlated between wells. Interest in the surficial aquifer system has increased because of population growth, westward expansion of urbanized areas, and increased utilization of surface-water resources in the central and western areas of the county. In 2004, the U.S. Geological Survey, in cooperation with the South Florida Water Management District, initiated an investigation to delineate the hydrogeologic framework of the surficial aquifer system in Palm Beach County, based on a lithostratigraphic framework, and to evaluate hydraulic properties and characteristics of units and permeable zones within this framework.\r\n\r\nA lithostratigraphic framework was delineated by correlating markers between all wells with data available based primarily on borehole natural gamma-ray geophysical log signatures and secondarily, lithologic characteristics. These correlation markers approximately correspond to important lithostratigraphic unit boundaries. Using the markers as guides to their boundaries, the surficial aquifer system was divided into three main permeable zones or subaquifers, which are designated, from shallowest to deepest, zones 1, 2, and 3. Zone 1 is above the Tamiami Formation in the Anastasia and Fort Thompson Formations. Zone 2 primarily is in the upper part or Pinecrest Sand Member of the Tamiami Formation, and zone 3 is in the Ochopee Limestone Member of the Tamiami Formation or its correlative equivalent. Differences in the lithologic character exist between these three zones, and these differences commonly include differences in the nature of the pore space.\r\n\r\nZone 1 attains its greatest thickness (50 feet or more) and highest transmissivity in coastal areas. Zone 2, the most transmissive and extensive zone, is thickest (80 feet or more) and most transmissive in the inland eastern areas near Florida's Turnpike. In this area, zone 1 is absent, and the semiconfining unit above zone 2 extends to the land surface with a thickness commonly ranging from 50 to 100 feet. The thickness of zone 2 decreases to zero in most wells near the coast. Zone 3 attains its greatest thickness (100 feet or more) in the southwestern and south-central areas; zone 3 is equivalent to the gray limestone aquifer.\r\n\r\nThe distribution of transmissivity was mapped by zone; however, zones 2 and 3 were commonly combined in aquifer tests. Maximum transmissivities for zone 1, zones 2 and 3, and zone 3 were 90,000, 180,000, and 70,000 ft2/d (feet-squared per day), respectively. The northern extent of the area with transmissivity greater than 50,000 ft2/d for zones 2 and 3 in the inland northeastern area along Florida's Turnpike has not been defined based on available data and could extend 5 to 10 miles farther north than mapped. Based on the thickness of zone 2 and a limited number of aquifer tests, a large area of zone 2 with transmissivity greater than 10,000 ft2/d, and possibly as much as 30,000 ft2/d, extends to the west across Water Conservation Area 1 from the inland southeastern area into the south-central area and some of the southwestern area.\r\n\r\nIn contrast to the Biscayne aquifer present to the south of Palm Beach County, zones 2 and 3 are interpreted to be present principally in the Tamiami Formation and are commonly overlain by a thick semiconfining unit of moderate permeability. These zones have been referred to as the 'Turnpike' aquifer in the inland eastern areas of Palm Beach County, and the extent of greatest thickness and transmissivity follows, or is adjacent to, Florida's Turnpike. Where it is thick and transmissive, zone 1 may be considered equivalent to the Biscayne aquifer.\r\n\r\nAreas ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095113","isbn":"9781411325500","collaboration":"Prepared in cooperation with South Florida Water Management District","usgsCitation":"Reese, R.S., and Wacker, M.A., 2009, Hydrogeologic and Hydraulic Characterization of the Surficial Aquifer System, and Origin of High Salinity Groundwater, Palm Beach County, Florida: U.S. Geological Survey Scientific Investigations Report 2009-5113, Report: viii, 83 p.; 2 Appendixes, https://doi.org/10.3133/sir20095113.","productDescription":"Report: viii, 83 p.; 2 Appendixes","additionalOnlineFiles":"Y","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":125864,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5113.jpg"},{"id":13285,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5113/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81,26.25 ], [ -81,27 ], [ -80,27 ], [ -80,26.25 ], [ -81,26.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a50e4b07f02db628d43","contributors":{"authors":[{"text":"Reese, Ronald S. rsreese@usgs.gov","contributorId":1090,"corporation":false,"usgs":true,"family":"Reese","given":"Ronald","email":"rsreese@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":304010,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wacker, Michael A. mwacker@usgs.gov","contributorId":2162,"corporation":false,"usgs":true,"family":"Wacker","given":"Michael","email":"mwacker@usgs.gov","middleInitial":"A.","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":304011,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98045,"text":"sim3098 - 2009 - Modified Methodology for Projecting Coastal Louisiana Land Changes over the Next 50 Years","interactions":[],"lastModifiedDate":"2012-02-02T00:14:30","indexId":"sim3098","displayToPublicDate":"2009-12-17T00:00:00","publicationYear":"2009","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":"3098","title":"Modified Methodology for Projecting Coastal Louisiana Land Changes over the Next 50 Years","docAbstract":"The coastal Louisiana landscape is continually undergoing geomorphologic changes (in particular, land loss); however, after the 2005 hurricane season, the changes were intensified because of Hurricanes Katrina and Rita. The amount of land loss caused by the 2005 hurricane season was 42 percent (562 km2) of the total land loss (1,329 km2) that was projected for the next 50 years in the Louisiana Coastal Area (LCA), Louisiana Ecosystem Restoration Study. The purpose of this study is to provide information on potential changes to coastal Louisiana by using a revised LCA study methodology.\r\n\r\nIn the revised methodology, we used classified Landsat TM satellite imagery from 1990, 2001, 2004, and 2006 to calculate the 'background' or ambient land-water change rates but divided the Louisiana coastal area differently on the basis of (1) geographic regions ('subprovinces') and (2) specific homogeneous habitat types. Defining polygons by subprovinces (1, Pontchartrain Basin; 2, Barataria Basin; 3, Vermilion/Terrebonne Basins; and 4, the Chenier Plain area) allows for a specific erosion rate to be applied to that area. Further subdividing the provinces by habitat type allows for specific erosion rates for a particular vegetation type to be applied. Our modified methodology resulted in 24 polygons rather than the 183 that were used in the LCA study; further, actively managed areas and the CWPPRA areas were not masked out and dealt with separately as in the LCA study. This revised methodology assumes that erosion rates for habitat types by subprovince are under the influence of similar environmental conditions (sediment depletion, subsidence, and saltwater intrusion).\r\n\r\nBackground change rate for three time periods (1990-2001, 1990-2004, and 1990-2006) were calculated by taking the difference in water or land among each time period and dividing it by the time interval. This calculation gives an annual change rate for each polygon per time period. Change rates for each time period were then used to compute the projected change in each subprovince and habitat type over 50 years by using the same compound rate functions used in the LCA study. The resulting maps show projected land changes based on the revised methodology and inclusion of damage by Hurricanes Katrina and Rita. Comparison of projected land change values between the LCA study and this study shows that this revised methodology - that is, using a reduced polygon subset (reduced from 183 to 24) based on habitat type and subprovince - can be used as a quick projection of land loss.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sim3098","usgsCitation":"Hartley, S.B., 2009, Modified Methodology for Projecting Coastal Louisiana Land Changes over the Next 50 Years: U.S. Geological Survey Scientific Investigations Map 3098, Map Sheet: 77 x 37 inches, https://doi.org/10.3133/sim3098.","productDescription":"Map Sheet: 77 x 37 inches","onlineOnly":"Y","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":125579,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3098.jpg"},{"id":13270,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3098/","linkFileType":{"id":5,"text":"html"}}],"scale":"750000","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b04e4b07f02db699425","contributors":{"authors":[{"text":"Hartley, Steve B. 0000-0003-1380-2769","orcid":"https://orcid.org/0000-0003-1380-2769","contributorId":18065,"corporation":false,"usgs":true,"family":"Hartley","given":"Steve","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":303998,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70207238,"text":"70207238 - 2009 - Methodology for an integrative assessment of China's ecological restoration programs","interactions":[],"lastModifiedDate":"2020-02-20T10:09:58","indexId":"70207238","displayToPublicDate":"2009-12-12T14:53:27","publicationYear":"2009","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"3","title":"Methodology for an integrative assessment of China's ecological restoration programs","docAbstract":"While research projects have been conducted to examine the impacts and effectiveness of China's ecological restoration programs, few of them represent integrated, systematic efforts. The objective of this chapter is thus to articulate and outline a methodology for an integrative assessment, which, we believe, should embrace both the environmental and socioeconomic changes and engage investigations at multiple scales. Further, these investigations should be pursued through interdisciplinary collaboration with expertise from ecology, economics, hydrology, and geospatial, climate, and land change sciences. We argue that the deployment of geospatial capability, the use of longitudinal data, and the connection between science and policy should be the hallmarks of an integrative assessment. We also describe our general approach and specific models to quantify the environmental and socioeconomic impacts induced by implementing the restoration programs, and address the issue of how to overcome the challenges in generating the data needed for executing various empirical tasks. We hope that the adoption and application of this methodology will make a valuable contribution to a more robust and timely assessment as well as implementation of the ecological restoration programs in and outside of China.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"An integrated assessment of China's ecological restoration programs","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","publisherLocation":"Netherlands","doi":"10.1007/978-90-481-2655-2_3","usgsCitation":"Yin, R., Rothstein, D., Qi, J., and Liu, S., 2009, Methodology for an integrative assessment of China's ecological restoration programs, chap. 3 of An integrated assessment of China's ecological restoration programs, p. 39-54, https://doi.org/10.1007/978-90-481-2655-2_3.","productDescription":"16 p.","startPage":"39","endPage":"54","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) 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R.","contributorId":221212,"corporation":false,"usgs":false,"family":"Yin","given":"R.","email":"","affiliations":[],"preferred":false,"id":777395,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Yin, R.","contributorId":221212,"corporation":false,"usgs":false,"family":"Yin","given":"R.","email":"","affiliations":[],"preferred":false,"id":777391,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rothstein, D.","contributorId":221213,"corporation":false,"usgs":false,"family":"Rothstein","given":"D.","email":"","affiliations":[],"preferred":false,"id":777392,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Qi, J.","contributorId":48718,"corporation":false,"usgs":true,"family":"Qi","given":"J.","email":"","affiliations":[],"preferred":false,"id":777393,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, Shuguang 0000-0002-6027-3479 sliu@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3479","contributorId":147403,"corporation":false,"usgs":true,"family":"Liu","given":"Shuguang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":777427,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70207230,"text":"70207230 - 2009 - Estimating actual evapotranspiration from irrigated fields using a simplified surface energy balance approach","interactions":[],"lastModifiedDate":"2021-06-14T19:47:26.316525","indexId":"70207230","displayToPublicDate":"2009-12-12T13:51:05","publicationYear":"2009","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"13","title":"Estimating actual evapotranspiration from irrigated fields using a simplified surface energy balance approach","docAbstract":"Food security assessment in many developing countries, such as Afghanistan, is vital because the early identification of populations at risk can enable the timely and appropriate actions needed to avert widespread hunger, destitution, or even famine. The assessment is complex, requiring the simultaneous consideration of multiple socioeconomic and environmental variables. Since large and widely dispersed
populations depend on rain-fed and irrigated agriculture and pastoralism, large-area weather monitoring and forecasting are important inputs to food security assessments. The Famine Early Warning Systems Network (FEWS NET), an activity funded by the United States Agency for International Development (USAID), employs a crop water balance model (based on the water demand and supply at a given location) to monitor the performance of rain-fed agriculture and forecast relative production before the end of the crop-growing season. While a crop water balance approach appears to be effective in rain-fed agriculture [1,2], irrigated agriculture is best monitored by other methods, since the supply (water used for irrigation) is usually generated from upstream areas, farther away from the demand location.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Remote sensing of global croplands for food security","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","publisherLocation":"Boca Raton, Fl","doi":"10.1201/9781420090109","usgsCitation":"Senay, G., Budde, M., Verdin, J., and Rowland, J., 2009, Estimating actual evapotranspiration from irrigated fields using a simplified surface energy balance approach, chap. 13 of Remote sensing of global croplands for food security, p. 317-330, https://doi.org/10.1201/9781420090109.","productDescription":"14 p.","startPage":"317","endPage":"330","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":370224,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2009-06-24","publicationStatus":"PW","contributors":{"editors":[{"text":"Thenkabail, Prasad 0000-0002-2182-8822 pthenkabail@usgs.gov","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":211472,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","email":"pthenkabail@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":777365,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Lyon, G.L.","contributorId":88494,"corporation":false,"usgs":true,"family":"Lyon","given":"G.L.","email":"","affiliations":[],"preferred":false,"id":777366,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Biradar, C.M.","contributorId":35563,"corporation":false,"usgs":true,"family":"Biradar","given":"C.M.","email":"","affiliations":[],"preferred":false,"id":777367,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Turral, H.","contributorId":50750,"corporation":false,"usgs":true,"family":"Turral","given":"H.","affiliations":[],"preferred":false,"id":777368,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Senay, G.B. 0000-0002-8810-8539","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":17741,"corporation":false,"usgs":true,"family":"Senay","given":"G.B.","affiliations":[],"preferred":false,"id":777361,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Budde, M.E. 0000-0002-9098-2751","orcid":"https://orcid.org/0000-0002-9098-2751","contributorId":56837,"corporation":false,"usgs":true,"family":"Budde","given":"M.E.","affiliations":[],"preferred":false,"id":777362,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Verdin, J. P. 0000-0003-0238-9657","orcid":"https://orcid.org/0000-0003-0238-9657","contributorId":33033,"corporation":false,"usgs":true,"family":"Verdin","given":"J. P.","affiliations":[],"preferred":false,"id":777363,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rowland, James D. 0000-0003-4837-3511","orcid":"https://orcid.org/0000-0003-4837-3511","contributorId":182398,"corporation":false,"usgs":false,"family":"Rowland","given":"James D.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":777364,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70216673,"text":"70216673 - 2009 - Use of models and observations to assess trends in the 1950–2005 water balance and climate of Upper Klamath Lake, Oregon","interactions":[],"lastModifiedDate":"2020-11-27T19:26:38.997516","indexId":"70216673","displayToPublicDate":"2009-12-12T13:22:45","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Use of models and observations to assess trends in the 1950–2005 water balance and climate of Upper Klamath Lake, Oregon","docAbstract":"A 1‐dimensional surface energy balance model is applied to produce continuous simulations of daily lake evaporation of Upper Klamath Lake, Oregon (UKL) for the period 1950–2005. The model is implemented using observed data from land‐based sites and rafts collected during 2005–2006. Progressively longer, temporally overlapping simulations are produced using observed forcing data sets from sites near UKL. Simulation of the entire 56 years is accomplished using forcing data derived from weather station data and a 1949–2007 regional climate simulation over western North America. Simulated mean annual evaporation for 1950–2005 is 1073 mm. The simulated evaporation estimates are an improvement over existing May–September pan‐derived estimates because the latter are not representative of annual evaporation rates and do not span the multidecadal period of interest over which climate‐driven interannual (and longer) variability is evident. Evaporation and the other components of the water balance display statistically significant trends over the past 56 years that are associated with changes in meteorological forcing over the lake and the radiative and moisture balances at higher elevations of the catchment. Trends in the basin are consistent with and imbedded in regional and hemispheric climate trends that have occurred over the last century.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2008WR007295","usgsCitation":"Hostetler, S.W., 2009, Use of models and observations to assess trends in the 1950–2005 water balance and climate of Upper Klamath Lake, Oregon: Water Resources Research, v. 45, no. 12, W12409, 14 p., https://doi.org/10.1029/2008WR007295.","productDescription":"W12409, 14 p.","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":476040,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2008wr007295","text":"Publisher Index Page"},{"id":380856,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Upper Klamath Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.79306030273438,\n 42.203090211380704\n ],\n [\n -121.76971435546874,\n 42.40317854182803\n ],\n [\n -121.92901611328125,\n 42.67435857693381\n ],\n [\n -122.08694458007812,\n 42.67536823702857\n ],\n [\n -122.19406127929688,\n 42.48323834594139\n ],\n [\n -121.97296142578124,\n 42.29864315010169\n ],\n [\n -121.88507080078125,\n 42.20105559753742\n ],\n [\n -121.79306030273438,\n 42.203090211380704\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"45","issue":"12","noUsgsAuthors":false,"publicationDate":"2009-12-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Hostetler, Steven W. 0000-0003-2272-8302 swhostet@usgs.gov","orcid":"https://orcid.org/0000-0003-2272-8302","contributorId":3249,"corporation":false,"usgs":true,"family":"Hostetler","given":"Steven","email":"swhostet@usgs.gov","middleInitial":"W.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":805853,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70207226,"text":"70207226 - 2009 - Quantifying the spatial details of carbon sequestration potential and performance","interactions":[],"lastModifiedDate":"2022-05-19T14:36:55.439039","indexId":"70207226","displayToPublicDate":"2009-12-12T13:20:06","publicationYear":"2009","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"7","title":"Quantifying the spatial details of carbon sequestration potential and performance","docAbstract":"Upscaling the spatial and temporal changes of carbon stocks and fluxes from sites to regions is challenging owing to the spatial and temporal variances and covariance of driving variables and the uncertainties in both the model and the input data. Although various modeling approaches have been developed to facilitate the upscaling process, few deal with error transfer from model input to output, and error propagation in time and space. The author has developed the General Ensemble Biogeochemical Modelling System (GEMS) for upscaling carbon stocks and fluxes from sites to regions with measures of uncertainty. This chapter describes the GEMS model, its application to regional- and larger-scale areas, and the new results that demonstrate the challenges of upscaling. GEMS relies on site-scale biogeochemical models to simulate carbon dynamics at the site scale. The spatial deployment of the site-scale model in GEMS is based on the spatial and temporal joint frequency distribution of major driving variables (e.g., land cover and land use change, climate, soils, disturbances, and management). At the site scale, GEMS uses stochastic ensemble simulations to incorporate input uncertainty to quantify uncertainty transfer from input to output, and to identify trends in both input data and simulation results. It permits one to simulate the range of possible permutations of input values and identify the trends and variance in both the input data and results. Using data assimilation techniques, GEMS simulations can be constrained by field and satellite observations, including estimates of net primary production (NPP) from the Moderate Resolution Imaging Spectroradiometer (MODIS), grain yield and cropping practices, and forest inventories. The modeling philosophy embedded in GEMS makes it ideal for assimilating information with various uncertainties to support estimating the spatial details of carbon sequestration potential as well as dynamic monitoring of the performance of carbon sequestration activities over large areas. As a case study, GEMS is applied to simulate the spatial and temporal details of carbon sources, sinks, and uncertainty in the Ridge and Valley ecoregion in the eastern United States
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Carbon sequestration and its role in the global carbon cycle","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2006GM000524","usgsCitation":"Liu, S., 2009, Quantifying the spatial details of carbon sequestration potential and performance, chap. 7 of Carbon sequestration and its role in the global carbon cycle, p. 117-128, https://doi.org/10.1029/2006GM000524.","productDescription":"12 p.","startPage":"117","endPage":"128","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":370220,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"McPherson, B.","contributorId":86593,"corporation":false,"usgs":true,"family":"McPherson","given":"B.","affiliations":[],"preferred":false,"id":777351,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Sundquist, Eric T. 0000-0002-1449-8802 esundqui@usgs.gov","orcid":"https://orcid.org/0000-0002-1449-8802","contributorId":1922,"corporation":false,"usgs":true,"family":"Sundquist","given":"Eric","email":"esundqui@usgs.gov","middleInitial":"T.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":777352,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Liu, S.","contributorId":149250,"corporation":false,"usgs":false,"family":"Liu","given":"S.","email":"","affiliations":[],"preferred":false,"id":777350,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":98039,"text":"fs20093105 - 2009 - U.S. Geological Survey Groundwater Modeling Software: Making Sense of a Complex Natural Resource","interactions":[],"lastModifiedDate":"2012-02-02T00:14:32","indexId":"fs20093105","displayToPublicDate":"2009-12-12T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-3105","title":"U.S. Geological Survey Groundwater Modeling Software: Making Sense of a Complex Natural Resource","docAbstract":"Computer models of groundwater systems simulate the flow of groundwater, including water levels, and the transport of chemical constituents and thermal energy. Groundwater models afford hydrologists a framework on which to organize their knowledge and understanding of groundwater systems, and they provide insights water-resources managers need to plan effectively for future water demands. Building on decades of experience, the U.S. Geological Survey (USGS) continues to lead in the development and application of computer software that allows groundwater models to address scientific and management questions of increasing complexity.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20093105","usgsCitation":"Provost, A., Reilly, T.E., Harbaugh, A.W., and Pollock, D.W., 2009, U.S. Geological Survey Groundwater Modeling Software: Making Sense of a Complex Natural Resource: U.S. Geological Survey Fact Sheet 2009-3105, 4 p., https://doi.org/10.3133/fs20093105.","productDescription":"4 p.","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":125430,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2009_3105.jpg"},{"id":13253,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2009/3105/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a2be4b07f02db6131b6","contributors":{"authors":[{"text":"Provost, Alden M.","contributorId":85652,"corporation":false,"usgs":true,"family":"Provost","given":"Alden M.","affiliations":[],"preferred":false,"id":303982,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reilly, Thomas E. tereilly@usgs.gov","contributorId":1660,"corporation":false,"usgs":true,"family":"Reilly","given":"Thomas","email":"tereilly@usgs.gov","middleInitial":"E.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":303980,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harbaugh, Arlen W. harbaugh@usgs.gov","contributorId":426,"corporation":false,"usgs":true,"family":"Harbaugh","given":"Arlen","email":"harbaugh@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":303979,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pollock, David W. dwpolloc@usgs.gov","contributorId":4248,"corporation":false,"usgs":true,"family":"Pollock","given":"David","email":"dwpolloc@usgs.gov","middleInitial":"W.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":303981,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":98042,"text":"ofr20091252 - 2009 - Sediment-hosted zinc-lead deposits of the world— Database and grade and tonnage models","interactions":[],"lastModifiedDate":"2021-08-20T19:09:47.57765","indexId":"ofr20091252","displayToPublicDate":"2009-12-12T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-1252","title":"Sediment-hosted zinc-lead deposits of the world— Database and grade and tonnage models","docAbstract":"This report provides information on sediment-hosted zinc-lead mineral deposits based on the geologic settings that are observed on regional geologic maps. The foundation of mineral-deposit models is information about known deposits. The purpose of this publication is to make this kind of information available in digital form for sediment-hosted zinc-lead deposits. \r\n\r\nMineral-deposit models are important in exploration planning and quantitative resource assessments: Grades and tonnages among deposit types are significantly different, and many types occur in different geologic settings that can be identified from geologic maps. Mineral-deposit models are the keystone in combining the diverse geoscience information on geology, mineral occurrences, geophysics, and geochemistry used in resource assessments and mineral exploration. Too few thoroughly explored mineral deposits are available in most local areas for reliable identification of the important geoscience variables, or for robust estimation of undiscovered deposits - thus, we need mineral-deposit models. Globally based deposit models allow recognition of important features because the global models demonstrate how common different features are. Well-designed and -constructed deposit models allow geologists to know from observed geologic environments the possible mineral-deposit types that might exist, and allow economists to determine the possible economic viability of these resources in the region. Thus, mineral-deposit models play the central role in transforming geoscience information to a form useful to policy makers. \r\n\r\nThis publication contains a computer file of information on sediment-hosted zinc-lead deposits from around the world. It also presents new grade and tonnage models for nine types of these deposits and a file allowing locations of all deposits to be plotted in Google Earth. The data are presented in FileMaker Pro, Excel and text files to make the information available to as many as possible. The value of this information and any derived analyses depends critically on the consistent manner of data gathering. For this reason, we first discuss the rules applied in this compilation. Next, the fields of the data file are considered. Finally, we provide new grade and tonnage models that are, for the most part, based on a classification of deposits using observable geologic units from regional-scaled maps.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091252","usgsCitation":"Singer, D.A., Berger, V.I., and Moring, B.C., 2009, Sediment-hosted zinc-lead deposits of the world— Database and grade and tonnage models: U.S. Geological Survey Open-File Report 2009-1252, v, 62 p., https://doi.org/10.3133/ofr20091252.","productDescription":"v, 62 p.","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":660,"text":"Western Mineral Resources Science Center","active":false,"usgs":true}],"links":[{"id":388249,"rank":2,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_89328.htm"},{"id":13256,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1252/","linkFileType":{"id":5,"text":"html"}},{"id":125520,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1252.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e47e3e4b07f02db4baf06","contributors":{"authors":[{"text":"Singer, Donald A. dsinger@usgs.gov","contributorId":5601,"corporation":false,"usgs":true,"family":"Singer","given":"Donald","email":"dsinger@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":303989,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berger, Vladimir I.","contributorId":15246,"corporation":false,"usgs":true,"family":"Berger","given":"Vladimir","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":303990,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moring, Barry C. 0000-0001-6797-9258 moring@usgs.gov","orcid":"https://orcid.org/0000-0001-6797-9258","contributorId":2794,"corporation":false,"usgs":true,"family":"Moring","given":"Barry","email":"moring@usgs.gov","middleInitial":"C.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":303988,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":98040,"text":"sir20095146 - 2009 - Development, Testing, and Application of a Coupled Hydrodynamic Surface-Water/Groundwater Model (FTLOADDS) with Heat and Salinity Transport in the Ten Thousand Islands/Picayune Strand Restoration Project Area, Florida","interactions":[],"lastModifiedDate":"2012-02-10T00:11:53","indexId":"sir20095146","displayToPublicDate":"2009-12-12T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-5146","title":"Development, Testing, and Application of a Coupled Hydrodynamic Surface-Water/Groundwater Model (FTLOADDS) with Heat and Salinity Transport in the Ten Thousand Islands/Picayune Strand Restoration Project Area, Florida","docAbstract":"A numerical model application was developed for the coastal area inland of the Ten Thousand Islands (TTI) in southwestern Florida using the Flow and Transport in a Linked Overland/Aquifer Density-Dependent System (FTLOADDS) model. This model couples a two-dimensional dynamic surface-water model with a three-dimensional groundwater model, and has been applied to several locations in southern Florida. The model application solves equations for salt transport in groundwater and surface water, and also simulates surface-water temperature using a newly enhanced heat transport algorithm. One of the purposes of the TTI application is to simulate hydrologic factors that relate to habitat suitability for the West Indian Manatee. Both salinity and temperature have been shown to be important factors for manatee survival. The inland area of the TTI domain is the location of the Picayune Strand Restoration Project, which is designed to restore predevelopment hydrology through the filling and plugging of canals, construction of spreader channels, and the construction of levees and pump stations. The effects of these changes are simulated to determine their effects on manatee habitat.\r\n\r\nThe TTI application utilizes a large amount of input data for both surface-water and groundwater flow simulations. These data include topography, frictional resistance, atmospheric data including rainfall and air temperature, aquifer properties, and boundary conditions for tidal levels, inflows, groundwater heads, and salinities. Calibration was achieved by adjusting the parameters having the largest uncertainty: surface-water inflows, the surface-water transport dispersion coefficient, and evapotranspiration. A sensitivity analysis did not indicate that further parameter changes would yield an overall improvement in simulation results. The agreement between field data from GPS-tracked manatees and TTI application results demonstrates that the model can predict the salinity and temperature fluctuations which affect manatee behavior. Comparison of the existing conditions simulation with the simulation incorporating restoration changes indicated that the restoration would increase the period of inundation for most of the coastal wetlands. Generally, surface-water salinity was lowered by restoration changes in most of the wetlands areas, especially during the early dry season. However, the opposite pattern was observed in the primary canal habitat for manatees, namely, the Port of the Islands. Salinities at this location tended to be moderately elevated during the dry season, and unchanged during the wet season. Water temperatures were in close agreement between the existing conditions and restoration simulations, although minimum temperatures at the Port of the Islands were slightly higher in the restoration simulation as a result of the additional surface-water ponding and warming that occurs in adjacent wetlands.\r\n\r\nThe TTI application output was used to generate salinity and temperature time series for comparison to manatee field tracking data and an individually-based manatee-behavior model. Overlaying field data with salinity and temperature results from the TTI application reflects the effect of warm water availability and the periodic need for low-salinity drinking water on manatee movements. The manatee-behavior model uses the TTI application data at specific model nodes along the main manatee travel corridors to determine manatee migration patterns. The differences between the existing conditions and restoration scenarios can then be compared for manatee refugia. The TTI application can be used to test a variety of hydrologic conditions and their effect on important criteria.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095146","isbn":"9781411325975","collaboration":"Prepared as part of the U.S. Geological Survey Priority Ecosystems Science Initiative","usgsCitation":"Swain, E.D., and Decker, J.D., 2009, Development, Testing, and Application of a Coupled Hydrodynamic Surface-Water/Groundwater Model (FTLOADDS) with Heat and Salinity Transport in the Ten Thousand Islands/Picayune Strand Restoration Project Area, Florida: U.S. Geological Survey Scientific Investigations Report 2009-5146, viii, 42 p., https://doi.org/10.3133/sir20095146.","productDescription":"viii, 42 p.","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":125612,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5146.jpg"},{"id":13254,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5146/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.75,25.916666666666668 ], [ -81.75,26.166666666666668 ], [ -81.41666666666667,26.166666666666668 ], [ -81.41666666666667,25.916666666666668 ], [ -81.75,25.916666666666668 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9be4b07f02db65dd85","contributors":{"authors":[{"text":"Swain, Eric D. 0000-0001-7168-708X edswain@usgs.gov","orcid":"https://orcid.org/0000-0001-7168-708X","contributorId":1538,"corporation":false,"usgs":true,"family":"Swain","given":"Eric","email":"edswain@usgs.gov","middleInitial":"D.","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Decker, Jeremy D. 0000-0002-0700-515X jdecker@usgs.gov","orcid":"https://orcid.org/0000-0002-0700-515X","contributorId":514,"corporation":false,"usgs":true,"family":"Decker","given":"Jeremy","email":"jdecker@usgs.gov","middleInitial":"D.","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":303983,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98037,"text":"ofr20091246 - 2009 - Holocene core logs and site statistics for modern patch-reef cores: Biscayne National Park, Florida","interactions":[],"lastModifiedDate":"2019-09-18T15:40:51","indexId":"ofr20091246","displayToPublicDate":"2009-12-12T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-1246","title":"Holocene core logs and site statistics for modern patch-reef cores: Biscayne National Park, Florida","docAbstract":"The bedrock in Biscayne National Park (BNP), a 1,730-square kilometer (km2) region off southeast Florida, consists of Pleistocene (1.8 million years ago (Ma) to 10,000 years ago (ka)) and Holocene (10 ka to present) carbonate rocks (Enos and Perkins, 1977; Halley and others, 1997; Multer and others, 2002). Most of the surficial limestone in BNP, including the islands of the Florida Keys, was formed at ~125 ka during the highstand of marine oxygen-isotope substage 5e, when sea level was approximately 6 meters (m) higher than today (Chappell and Shackleton, 1986; Multer and others, 2002; Lidz and others, 2003; Siddall and others, 2003; Balsillie and Donoghue, 2004). During the substage-5e regression, the entire Florida Platform became exposed. Subaerial exposure lasted for approximately 115,000 years (kyr), which resulted in erosion and enhancement of karst-like features (Lidz and others, 2006). As the Holocene transgression began to flood the Florida shelf ~7 to 6 ka, the bedrock depression under Biscayne Bay began to flood, and Holocene coral and reef debris laid the foundation for the present reef system (Enos and Perkins, 1977; Lighty and others, 1982; Toscano and Macintyre, 2003; Lidz and others, 2006).\r\n\r\nMore than 3,000 patch reefs exist within the BNP boundary. Most contain hermatypic corals of various species such as those belonging to Montastrea, Diploria, Siderastrea, Porites, Acropora, and Agaricia. Patch reefs within BNP have two morphologies: pinnacle and flat top. Experimental Advanced Airborne Research Lidar (EAARL) data collected along the offshore BNP coral reef tract show that these two morphologies are clearly defined both in the high-resolution bathymetry maps produced by the Lidar data and by statistical analyses of the Lidar dataset (Brock and others, 2008). Brock and others (2008) also show that the pinnacle patch reefs are deeper than the more shallow, broad, and flat patch reefs. The control for these two patch-reef morphologies is unclear; however, their shapes may be due to a slightly lowered sea level or a stillstand in the middle-Holocene around 4 ka that caused erosion of the shallower reefs and allowed the deeper reefs to remain unaffected. Lidz and others (2006) have suggested a stillstand around 4 ka that carved a 2.5-kilometer (km)-wide nearshore rock ledge into the seaward side of every island in the Florida Keys.\r\n\r\nThe objectives of this study were to sample living corals to understand the more recent (<200 years) changes in climate and environmental conditions of the area and to investigate the Holocene (in this case, <8,000 years in the Florida Keys) depositional history at progressively deeper patch-reef sites. This report provides statistics for the cores and core sites and a basic lithologic description of these Holocene cores.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20091246","usgsCitation":"Reich, C.D., Hickey, T.D., DeLong, K.L., Poore, R.Z., and Brock, J., 2009, Holocene core logs and site statistics for modern patch-reef cores: Biscayne National Park, Florida: U.S. Geological Survey Open-File Report 2009-1246, iv, 27 p., https://doi.org/10.3133/ofr20091246.","productDescription":"iv, 27 p.","costCenters":[{"id":575,"text":"St. Petersburg Science Center","active":false,"usgs":true}],"links":[{"id":125519,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1246.jpg"},{"id":13252,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1246/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","otherGeospatial":"Biscayne National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.66666666666667,25.166666666666668 ], [ -80.66666666666667,25.75 ], [ -80,25.75 ], [ -80,25.166666666666668 ], [ -80.66666666666667,25.166666666666668 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a54e4b07f02db62bfb2","contributors":{"authors":[{"text":"Reich, Christopher D. 0000-0002-2534-1456 creich@usgs.gov","orcid":"https://orcid.org/0000-0002-2534-1456","contributorId":900,"corporation":false,"usgs":true,"family":"Reich","given":"Christopher","email":"creich@usgs.gov","middleInitial":"D.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":303975,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hickey, T. Don","contributorId":49066,"corporation":false,"usgs":true,"family":"Hickey","given":"T.","email":"","middleInitial":"Don","affiliations":[],"preferred":false,"id":303978,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeLong, Kristine L.","contributorId":19249,"corporation":false,"usgs":true,"family":"DeLong","given":"Kristine","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":303977,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Poore, Richard Z. rpoore@usgs.gov","contributorId":345,"corporation":false,"usgs":true,"family":"Poore","given":"Richard","email":"rpoore@usgs.gov","middleInitial":"Z.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":303974,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":303976,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":98036,"text":"ofr20091271 - 2009 - Mineral-resource assessment of northern Nye County, Nevada— A progress report","interactions":[],"lastModifiedDate":"2021-08-27T18:38:21.0262","indexId":"ofr20091271","displayToPublicDate":"2009-12-12T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-1271","title":"Mineral-resource assessment of northern Nye County, Nevada— A progress report","docAbstract":"The U.S. Geological Survey (USGS), University of Nevada, Las Vegas (UNLV), and Nevada Bureau of Mines and Geology (NBMG), which is a part of the University of Nevada, Reno (UNR), have completed the first year of data collection and analysis in preparation for a new mineral- and energy-resource assessment of northern Nye County, Nevada. This report provides information about work completed before October 1, 2009. \r\n\r\nExisting data are being compiled, including geology, geochemistry, geophysics, and mineral-deposit information. Field studies are underway, which are primarily designed to address issues raised during the review of existing information. In addition, new geochemical studies are in progress, including reanalyzing existing stream-sediment samples with modern methods, and analyzing metalliferous black shales.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091271","usgsCitation":"Ludington, S., John, D.A., Muntean, J.L., Hanson, A.D., Castor, S.B., Henry, C., Wintzer, N., Cline, J.S., and Simon, A.C., 2009, Mineral-resource assessment of northern Nye County, Nevada— A progress report: U.S. Geological Survey Open-File Report 2009-1271, ii, 13 p., https://doi.org/10.3133/ofr20091271.","productDescription":"ii, 13 p.","onlineOnly":"Y","costCenters":[{"id":660,"text":"Western Mineral Resources Science Center","active":false,"usgs":true}],"links":[{"id":195414,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13265,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1271/","linkFileType":{"id":5,"text":"html"}},{"id":388604,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_89327.htm"}],"country":"United States","state":"Nevada","county":"Nye County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119,37 ], [ -119,40 ], [ -114.5,40 ], [ -114.5,37 ], [ -119,37 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b13e4b07f02db6a3238","contributors":{"authors":[{"text":"Ludington, Steve","contributorId":106848,"corporation":false,"usgs":true,"family":"Ludington","given":"Steve","affiliations":[],"preferred":false,"id":303973,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"John, David A. 0000-0001-7977-9106 djohn@usgs.gov","orcid":"https://orcid.org/0000-0001-7977-9106","contributorId":1748,"corporation":false,"usgs":true,"family":"John","given":"David","email":"djohn@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":303965,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Muntean, John L.","contributorId":27572,"corporation":false,"usgs":true,"family":"Muntean","given":"John","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":303966,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hanson, Andrew D.","contributorId":86867,"corporation":false,"usgs":true,"family":"Hanson","given":"Andrew","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":303972,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Castor, Stephen B.","contributorId":57950,"corporation":false,"usgs":true,"family":"Castor","given":"Stephen","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":303969,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Henry, Christopher D.","contributorId":36556,"corporation":false,"usgs":true,"family":"Henry","given":"Christopher D.","affiliations":[],"preferred":false,"id":303968,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wintzer, Niki 0000-0003-3085-435X","orcid":"https://orcid.org/0000-0003-3085-435X","contributorId":60736,"corporation":false,"usgs":true,"family":"Wintzer","given":"Niki","affiliations":[],"preferred":false,"id":303970,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cline, Jean S.","contributorId":83628,"corporation":false,"usgs":true,"family":"Cline","given":"Jean","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":303971,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Simon, Adam C.","contributorId":27573,"corporation":false,"usgs":true,"family":"Simon","given":"Adam","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":303967,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":98033,"text":"sir20095158 - 2009 - Magnitude and Frequency of Rural Floods in the Southeastern United States, through 2006: Volume 2, North Carolina","interactions":[],"lastModifiedDate":"2023-05-04T10:58:36.484661","indexId":"sir20095158","displayToPublicDate":"2009-12-09T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-5158","title":"Magnitude and Frequency of Rural Floods in the Southeastern United States, through 2006: Volume 2, North Carolina","docAbstract":"Reliable estimates of the magnitude and frequency of floods are required for the economical and safe design of transportation and water-conveyance structures. A multistate approach was used to update methods for estimating the magnitude and frequency of floods in rural, ungaged basins in North Carolina, South Carolina, and Georgia that are not substantially affected by regulation, tidal fluctuations, or urban development. In North Carolina, annual peak-flow data available through September 2006 were available for 584 sites; 402 of these sites had a total of 10 or more years of systematic record that is required for at-site, flood-frequency analysis. Following data reviews and the computation of 20 physical and climatic basin characteristics for each station as well as at-site flood-frequency statistics, annual peak-flow data were identified for 363 sites in North Carolina suitable for use in this analysis. Among these 363 sites, 19 sites had records that could be divided into unregulated and regulated/ channelized annual peak discharges, which means peak-flow records were identified for a total of 382 cases in North Carolina. Considering the 382 cases, at-site flood-frequency statistics are provided for 333 unregulated cases (also used for the regression database) and 49 regulated/channelized cases. The flood-frequency statistics for the 333 unregulated sites were combined with data for sites from South Carolina, Georgia, and adjacent parts of Alabama, Florida, Tennessee, and Virginia to create a database of 943 sites considered for use in the regional regression analysis.\r\n\r\nFlood-frequency statistics were computed by fitting logarithms (base 10) of the annual peak flows to a log-Pearson Type III distribution. As part of the computation process, a new generalized skew coefficient was developed by using a Bayesian generalized least-squares regression model.\r\n\r\nExploratory regression analyses using ordinary least-squares regression completed on the initial database of 943 sites resulted in defining five hydrologic regions for North Carolina, South Carolina, and Georgia. Stations with drainage areas less than 1 square mile were removed from the database, and a procedure to examine for basin redundancy (based on drainage area and periods of record) also resulted in the removal of some stations from the regression database.\r\n\r\nFlood-frequency estimates and basin characteristics for 828 gaged stations were combined to form the final database that was used in the regional regression analysis. Regional regression analysis, using generalized least-squares regression, was used to develop a set of predictive equations that can be used for estimating the 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent chance exceedance flows for rural ungaged, basins in North Carolina, South Carolina, and Georgia. The final predictive equations are all functions of drainage area and the percentage of drainage basin within each of the five hydrologic regions. Average errors of prediction for these regression equations range from 34.0 to 47.7 percent.\r\n\r\nDischarge estimates determined from the systematic records for the current study are, on average, larger in magnitude than those from a previous study for the highest percent chance exceedances (50 and 20 percent) and tend to be smaller than those from the previous study for the lower percent chance exceedances when all sites are considered as a group. For example, mean differences for sites in the Piedmont hydrologic region range from positive 0.5 percent for the 50-percent chance exceedance flow to negative 4.6 percent for the 0.2-percent chance exceedance flow when stations are grouped by hydrologic region. Similarly for the same hydrologic region, median differences range from positive 0.9 percent for the 50-percent chance exceedance flow to negative 7.1 percent for the 0.2-percent chance exceedance flow. However, mean and median percentage differences between the estimates from the previous and curre","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095158","collaboration":"Prepared in cooperation with the North Carolina Department of Transportation, Division of Highways (Hydraulics Unit) and the North Carolina Department of Crime Control and Public Safety, Division of Emergency Management (Floodplain Mapping Program)","usgsCitation":"Weaver, J., Feaster, T., and Gotvald, A.J., 2009, Magnitude and Frequency of Rural Floods in the Southeastern United States, through 2006: Volume 2, North Carolina: U.S. Geological Survey Scientific Investigations Report 2009-5158, Report: vi, 113 p.; Downloadable Files, https://doi.org/10.3133/sir20095158.","productDescription":"Report: vi, 113 p.; Downloadable Files","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":125618,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5158.jpg"},{"id":416654,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/sir20235006","text":"Scientific Investigations Report 2023–5006","linkHelpText":"- The methods and statistics from SIR 2009–5158 have been updated in SIR 2023–5006."},{"id":13249,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5158/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"North Carolina","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -85.5,30 ], [ -85.5,38.5 ], [ -74.5,38.5 ], [ -74.5,30 ], [ -85.5,30 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a80e4b07f02db6494db","contributors":{"authors":[{"text":"Weaver, J. Curtis","contributorId":42260,"corporation":false,"usgs":true,"family":"Weaver","given":"J. Curtis","affiliations":[],"preferred":false,"id":303957,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Feaster, Toby D. 0000-0002-5626-5011 tfeaster@usgs.gov","orcid":"https://orcid.org/0000-0002-5626-5011","contributorId":1109,"corporation":false,"usgs":true,"family":"Feaster","given":"Toby D.","email":"tfeaster@usgs.gov","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":303955,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gotvald, Anthony J. 0000-0002-9019-750X agotvald@usgs.gov","orcid":"https://orcid.org/0000-0002-9019-750X","contributorId":1970,"corporation":false,"usgs":true,"family":"Gotvald","given":"Anthony","email":"agotvald@usgs.gov","middleInitial":"J.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303956,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":98031,"text":"ofr20091110 - 2009 - Helicopter Electromagnetic and Magnetic Geophysical Survey Data for Portions of the North Platte River and Lodgepole Creek, Nebraska, June 2008","interactions":[{"subject":{"id":98031,"text":"ofr20091110 - 2009 - Helicopter Electromagnetic and Magnetic Geophysical Survey Data for Portions of the North Platte River and Lodgepole Creek, Nebraska, June 2008","indexId":"ofr20091110","publicationYear":"2009","noYear":false,"title":"Helicopter Electromagnetic and Magnetic Geophysical Survey Data for Portions of the North Platte River and Lodgepole Creek, Nebraska, June 2008"},"predicate":"SUPERSEDED_BY","object":{"id":98928,"text":"ofr20101259 - 2010 - Helicopter electromagnetic and magnetic geophysical survey data, portions of the North Platte and South Platte Natural Resources Districts, western Nebraska, May 2009","indexId":"ofr20101259","publicationYear":"2010","noYear":false,"title":"Helicopter electromagnetic and magnetic geophysical survey data, portions of the North Platte and South Platte Natural Resources Districts, western Nebraska, May 2009"},"id":1}],"supersededBy":{"id":98928,"text":"ofr20101259 - 2010 - Helicopter electromagnetic and magnetic geophysical survey data, portions of the North Platte and South Platte Natural Resources Districts, western Nebraska, May 2009","indexId":"ofr20101259","publicationYear":"2010","noYear":false,"title":"Helicopter electromagnetic and magnetic geophysical survey data, portions of the North Platte and South Platte Natural Resources Districts, western Nebraska, May 2009"},"lastModifiedDate":"2012-02-10T00:11:55","indexId":"ofr20091110","displayToPublicDate":"2009-12-09T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-1110","title":"Helicopter Electromagnetic and Magnetic Geophysical Survey Data for Portions of the North Platte River and Lodgepole Creek, Nebraska, June 2008","docAbstract":"This report is a release of digital data from a helicopter electromagnetic and magnetic survey that was conducted during June 2008 in areas of western Nebraska as part of a joint hydrologic study by the North Platte Natural Resource District, South Platte Natural Resource District, and U.S. Geological Survey. The objective of the contracted survey, conducted by Fugro Airborne, Ltd., was to improve the understanding of the relationship between surface water and groundwater systems critical to developing groundwater models used in management programs for water resources. The survey covered 1,375 line km (854 line mi). A unique aspect of this survey is the flight line layout. One set of flight lines were flown paralleling each side of the east-west trending North Platte River and Lodgepole Creek. The survey also included widely separated (10 km) perpendicular north-south lines. The success of this survey design depended on a well understood regional hydrogeologic framework and model developed by the Cooperative Hydrologic Study of the Platte River Basin. Resistivity variations along lines could be related to this framework. In addition to these lines, more traditional surveys consisting of parallel flight lines separated by about 270 m were carried out for one block in each of the drainages. These surveys helped to establish the spatial variations of the resistivity of hydrostratigraphic units. The electromagnetic equipment consisted of six different coil-pair orientations that measured resistivity at separated frequencies from about 400 Hz to about 140,000 Hz. The electromagnetic data along flight lines were converted to electrical resistivity. The resulting line data were converted to geo-referenced grids and maps which are included with this report. In addition to the electromagnetic data, total field magnetic data and digital elevation data were collected. Data released in this report consist of data along flight lines, digital grids, and digital maps of the apparent resistivity and total magnetic field. The depth range of the subsurface investigation for the electromagnetic survey (estimated as deep as 60 m) is comparable to the depth of shallow aquifers. The geophysical data and hydrologic information from U.S. Geological Survey and cooperator studies are being used by resource managers to develop groundwater resource plans for the area. In addition, data will be used to refine hydrologic models in western Nebraska.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091110","collaboration":"Prepared in Cooperation with the North Platte Natural Resource District, South Platte Natural Resource District, and the Nebraska Environmental Trust","usgsCitation":"Smith, B.D., Abraham, J., Cannia, J.C., and Hill, P., 2009, Helicopter Electromagnetic and Magnetic Geophysical Survey Data for Portions of the North Platte River and Lodgepole Creek, Nebraska, June 2008: U.S. Geological Survey Open-File Report 2009-1110, Report: 27 p.; Downloads Directory, https://doi.org/10.3133/ofr20091110.","productDescription":"Report: 27 p.; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2008-06-01","temporalEnd":"2008-06-30","costCenters":[{"id":212,"text":"Crustal Imaging and Characterization","active":false,"usgs":true}],"links":[{"id":125463,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1110.jpg"},{"id":13247,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1110/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104.25,41 ], [ -104.25,42.25 ], [ -102,42.25 ], [ -102,41 ], [ -104.25,41 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a61e4b07f02db63606f","contributors":{"authors":[{"text":"Smith, Bruce D. 0000-0002-1643-2997 bsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-1643-2997","contributorId":845,"corporation":false,"usgs":true,"family":"Smith","given":"Bruce","email":"bsmith@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":303945,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abraham, Jared D.","contributorId":42630,"corporation":false,"usgs":true,"family":"Abraham","given":"Jared D.","affiliations":[],"preferred":false,"id":303946,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cannia, James C.","contributorId":94356,"corporation":false,"usgs":true,"family":"Cannia","given":"James","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":303948,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hill, Patricia","contributorId":65160,"corporation":false,"usgs":true,"family":"Hill","given":"Patricia","affiliations":[],"preferred":false,"id":303947,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":98029,"text":"ofr20091191 - 2009 - Reconstructing Rodinia by Fitting Neoproterozoic Continental Margins","interactions":[],"lastModifiedDate":"2012-02-10T00:11:55","indexId":"ofr20091191","displayToPublicDate":"2009-12-08T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-1191","title":"Reconstructing Rodinia by Fitting Neoproterozoic Continental Margins","docAbstract":"Reconstructions of Phanerozoic tectonic plates can be closely constrained by lithologic correlations across conjugate margins by paleontologic information, by correlation of orogenic belts, by paleomagnetic location of continents, and by ocean floor magmatic stripes. In contrast, Proterozoic reconstructions are hindered by the lack of some of these tools or the lack of their precision. To overcome some of these difficulties, this report focuses on a different method of reconstruction, namely the use of the shape of continents to assemble the supercontinent of Rodinia, much like a jigsaw puzzle. Compared to the vast amount of information available for Phanerozoic systems, such a limited approach for Proterozoic rocks, may seem suspect. However, using the assembly of the southern continents (South America, Africa, India, Arabia, Antarctica, and Australia) as an example, a very tight fit of the continents is apparent and illustrates the power of the jigsaw puzzle method. \r\n\r\nThis report focuses on Neoproterozoic rocks, which are shown on two new detailed geologic maps that constitute the backbone of the study. The report also describes the Neoproterozoic, but younger or older rocks are not discussed or not discussed in detail. \r\n\r\nThe Neoproterozoic continents and continental margins are identified based on the distribution of continental-margin sedimentary and magmatic rocks that define the break-up margins of Rodinia. These Neoproterozoic continental exposures, as well as critical Neo- and Meso-Neoproterozoic tectonic features shown on the two new map compilations, are used to reconstruct the Mesoproterozoic supercontinent of Rodinia. This approach differs from the common approach of using fold belts to define structural features deemed important in the Rodinian reconstruction. Fold belts are difficult to date, and many are significantly younger than the time frame considered here (1,200 to 850 Ma). \r\n\r\nIdentifying Neoproterozoic continental margins, which are primarily extensional in origin, supports recognition of the Neoproterozoic fragmentation pattern of Rodinia and outlines the major continental masses that, prior to the breakup, formed the supercontinent. Using this pattern, Rodinia can be assembled by fitting the pieces together. \r\n\r\nEvidence for Neoproterozoic margins is fragmentary. The most apparent margins are marked by miogeoclinal deposits (passive-margin deposits). The margins can also be outlined by the distribution of continental-margin magmatic-arc rocks, by juvenile ocean-floor rocks, or by the presence of continent-ward extending aulacogens. \r\n\r\nMost of the continental margins described here are Neoproterozoic, and some had an older history suggesting that they were major, long-lived lithospheric flaws. In particular, the western margin of North America appears to have existed for at least 1,470 Ma and to have been reactivated many times in the Neoproterozoic and Phanerozoic. The inheritance of trends from the Mesoproterozoic by the Neoproterozoic is particularly evident along the eastern United States, where a similarity of Mesoproterozoic (Grenville) and Neoproterozoic trends, as well as Paleozoic or Mesozoic trends, is evident. \r\n\r\nThe model of Rodinia presented here is based on both geologic and paleomagnetic information. Geologic evidence is based on the distribution and shape of Neoproterozoic continents and on assembling these continents so as to match the shape, history, and scale of adjoining margins. The proposed model places the Laurasian continents?Baltica, Greenland, and Laurentia?west of the South American continents (Amazonia, Rio de La Plata, and Sa? Francisco). This assembly is indicated by conjugate pairs of Grenville-age rocks on the east side of Laurentia and on the west side of South America. In the model, predominantly late Neoproterozoic magmatic-arc rocks follow the trend of the Grenville rocks. The boundary between South America and Africa is interpreted as the site of a Wilson cycle","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091191","usgsCitation":"Stewart, J.H., 2009, Reconstructing Rodinia by Fitting Neoproterozoic Continental Margins: U.S. Geological Survey Open-File Report 2009-1191, Report: iv, 94 p.; 3 Plates - Plates 1 & 2: 48 x 36 inches; Plate 3: 22 x 24 inches, https://doi.org/10.3133/ofr20091191.","productDescription":"Report: iv, 94 p.; 3 Plates - Plates 1 & 2: 48 x 36 inches; Plate 3: 22 x 24 inches","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":660,"text":"Western Mineral Resources Science Center","active":false,"usgs":true}],"links":[{"id":125801,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1191.jpg"},{"id":13234,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1191/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 180,-90 ], [ 180,90 ], [ -180,90 ], [ -180,-90 ], [ 180,-90 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a5fe4b07f02db6346dc","contributors":{"authors":[{"text":"Stewart, John H.","contributorId":83086,"corporation":false,"usgs":true,"family":"Stewart","given":"John","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":303942,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":98022,"text":"sir20095026 - 2009 - Simulation of streamflow using a multidimensional flow model for white sturgeon habitat, Kootenai River near Bonners Ferry, Idaho – Supplement to Scientific Investigations Report 2005-5230","interactions":[],"lastModifiedDate":"2021-12-14T19:58:27.254958","indexId":"sir20095026","displayToPublicDate":"2009-12-04T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-5026","title":"Simulation of streamflow using a multidimensional flow model for white sturgeon habitat, Kootenai River near Bonners Ferry, Idaho – Supplement to Scientific Investigations Report 2005-5230","docAbstract":"During 2005, the U.S. Geological Survey (USGS) developed, calibrated, and validated a multidimensional flow model for simulating streamflow in the white sturgeon spawning habitat of the Kootenai River in Idaho. The model was developed as a tool to aid understanding of the physical factors affecting quality and quantity of spawning and rearing habitat used by the endangered white sturgeon (Acipenser transmontanus) and for assessing the feasibility of various habitat-enhancement scenarios to re-establish recruitment of white sturgeon. At the request of the Kootenai Tribe of Idaho, the USGS extended the two-dimensional flow model developed in 2005 into a braided reach upstream of the current white sturgeon spawning reach. Many scientists consider the braided reach a suitable substrate with adequate streamflow velocities for re-establishing recruitment of white sturgeon. The 2005 model was extended upstream to help assess the feasibility of various strategies to encourage white sturgeon to spawn in the reach. At the request of the Idaho Department of Fish and Game, the USGS also extended the two-dimensional flow model several kilometers downstream of the white sturgeon spawning reach. This modified model can quantify the physical characteristics of a reach that white sturgeon pass through as they swim upstream from Kootenay Lake to the spawning reach. The USGS Multi-Dimensional Surface-Water Modeling System was used for the 2005 modeling effort and for this subsequent modeling effort. This report describes the model applications and limitations, presents the results of a few simple simulations, and demonstrates how the model can be used to link physical characteristics of streamflow to the location of white sturgeon spawning events during 1994-2001. Model simulations also were used to report on the length and percentage of longitudinal profiles that met the minimum criteria during May and June 2006 and 2007 as stipulated in the U.S. Fish and Wildlife Biological Opinion.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095026","collaboration":"Prepared in cooperation with the Kootenai Tribe of Idaho, Idaho Department of Fish and Game, and Bonneville Power Administration","usgsCitation":"Barton, G., McDonald, R.R., and Nelson, J.M., 2009, Simulation of streamflow using a multidimensional flow model for white sturgeon habitat, Kootenai River near Bonners Ferry, Idaho – Supplement to Scientific Investigations Report 2005-5230: U.S. Geological Survey Scientific Investigations Report 2009-5026, vi, 35 p., https://doi.org/10.3133/sir20095026.","productDescription":"vi, 35 p.","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":126866,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5026.jpg"},{"id":392873,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_87740.htm"},{"id":13220,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5026/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Idaho","city":"Bonners Ferry","otherGeospatial":"Kootenai River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.4422,\n 48.6861\n ],\n [\n -116.1903,\n 48.6861\n ],\n [\n -116.1903,\n 48.805\n ],\n [\n -116.4422,\n 48.805\n ],\n [\n -116.4422,\n 48.6861\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afee4b07f02db6976cd","contributors":{"authors":[{"text":"Barton, Gary J. gbarton@usgs.gov","contributorId":1147,"corporation":false,"usgs":true,"family":"Barton","given":"Gary J.","email":"gbarton@usgs.gov","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303920,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McDonald, Richard R. 0000-0002-0703-0638 rmcd@usgs.gov","orcid":"https://orcid.org/0000-0002-0703-0638","contributorId":2428,"corporation":false,"usgs":true,"family":"McDonald","given":"Richard","email":"rmcd@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":303921,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nelson, Jonathan M. 0000-0002-7632-8526 jmn@usgs.gov","orcid":"https://orcid.org/0000-0002-7632-8526","contributorId":2812,"corporation":false,"usgs":true,"family":"Nelson","given":"Jonathan","email":"jmn@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":303922,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":98023,"text":"sir20095063 - 2009 - Hydrogeology and Simulation of Groundwater Flow in the Plymouth-Carver-Kingston-Duxbury Aquifer System, Southeastern Massachusetts","interactions":[],"lastModifiedDate":"2018-05-17T13:38:48","indexId":"sir20095063","displayToPublicDate":"2009-12-04T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-5063","title":"Hydrogeology and Simulation of Groundwater Flow in the Plymouth-Carver-Kingston-Duxbury Aquifer System, Southeastern Massachusetts","docAbstract":"The glacial sediments that underlie the Plymouth-Carver-Kingston-Duxbury area of southeastern Massachusetts compose an important aquifer system that is the primary source of water for a region undergoing rapid development. Population increases and land-use changes in this area has led to two primary environmental effects that relate directly to groundwater resources: (1) increases in pumping that can adversely affect environmentally sensitive groundwater-fed surface waters, such as ponds, streams, and wetlands; and (2) adverse effects of land use on the quality of water in the aquifer. In response to these concerns, the U.S. Geological Survey, in cooperation with the Massachusetts Department of Environmental Protection, began an investigation in 2005 to improve the understanding of the hydrogeology in the area and to assess the effects of changing pumping and recharge conditions on groundwater flow in the Plymouth-Carver-Kingston-Duxbury aquifer system.\r\n\r\nA numerical flow model was developed based on the USGS computer program MODFLOW-2000 to assist in the analysis of groundwater flow. Model simulations were used to determine water budgets, flow directions, and the sources of water to pumping wells, ponds, streams, and coastal areas.\r\n\r\nModel-calculated water budgets indicate that approximately 298 million gallons per day (Mgal/d) of water recharges the Plymouth-Carver-Kingston-Duxbury aquifer system. Most of this water (about 70 percent) moves through the aquifer, discharges to streams, and then reaches the coast as surface-water discharge. Of the remaining 30 percent of flow, about 25 percent of the water that enters the aquifer as recharge discharges directly to coastal areas and 5 percent discharges to pumping wells.\r\n\r\nGroundwater withdrawals are anticipated to increase from the current (2005) rate of about 14 Mgal/d to about 21 Mgal/d by 2030. Pumping from large-capacity production wells decreases water levels and increases the potential for effects on surface-water bodies, which are affected by pumping and wastewater disposal locations and rates. Pumping wells that are upgradient of surface-water bodies potentially capture water that would otherwise discharge to these surface-water bodies, thereby reducing streamflow and pond levels. The areas most affected by proposed increases in groundwater withdrawals are in the Towns of Plymouth and Wareham where more than half of the proposed increase in pumping will occur.\r\n\r\nIn response to an increase of about 7 Mgal/d of pumping, groundwater discharge to streams is reduced by about 6 cubic feet per second (ft3/s) (about 4 Mgal/d) from a total of about 325 ft3/s. Reduction in streamflow is moderated by an increase of artificial recharge from wastewater returned to the aquifer by onsite domestic septic systems and centralized wastewater treatment facilities. It is anticipated that about 3 Mgal/d of the 7 Mgal/d of increase in pumped water will be returned to the aquifer as wastewater by 2030.\r\n\r\nCurrently (2005) about 3 percent of groundwater discharge to streams is from wastewater return flow to the aquifer during average conditions. During drought conditions, the component of streamflow augmented by wastewater return flow doubles as wastewater recharge remains constant and aquifer recharge rates decrease. Wastewater return flow, whether as direct groundwater discharge to streams or as an additional source of aquifer recharge, increases the height of the water table near streams, thereby moderating the effects of increased groundwater withdrawals on streamflow.\r\n\r\nAn analysis of a simulated drought similar to the 1960s drought of record indicates that the presence of streams moderates the effects on water levels of reduced aquifer recharge. The area where water-table altitudes were least affected by drought was in the Weweantic River watershed in the Town of Carver. Water levels decreased by less than 2 feet from current average conditions compared to decreases of greater than 5","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095063","isbn":"9781411324336","collaboration":"Prepared in cooperation with the Massachusetts Department of Environmental Protection-Drinking Water Program","usgsCitation":"Masterson, J., Carlson, C.S., Walter, D.A., Other contributing authors: Bent, G.C., and Massey, A.J., 2009, Hydrogeology and Simulation of Groundwater Flow in the Plymouth-Carver-Kingston-Duxbury Aquifer System, Southeastern Massachusetts: U.S. Geological Survey Scientific Investigations Report 2009-5063, vi, 111 p., https://doi.org/10.3133/sir20095063.","productDescription":"vi, 111 p.","costCenters":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":125592,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5063.jpg"},{"id":13221,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5063/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -70.91666666666667,41.666666666666664 ], [ -70.91666666666667,42.166666666666664 ], [ -70.41666666666667,42.166666666666664 ], [ -70.41666666666667,41.666666666666664 ], [ -70.91666666666667,41.666666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4de4b07f02db6277a7","contributors":{"authors":[{"text":"Masterson, John P. 0000-0003-3202-4413 jpmaster@usgs.gov","orcid":"https://orcid.org/0000-0003-3202-4413","contributorId":1865,"corporation":false,"usgs":true,"family":"Masterson","given":"John P.","email":"jpmaster@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":303926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carlson, Carl S. 0000-0001-7142-3519 cscarlso@usgs.gov","orcid":"https://orcid.org/0000-0001-7142-3519","contributorId":1694,"corporation":false,"usgs":true,"family":"Carlson","given":"Carl","email":"cscarlso@usgs.gov","middleInitial":"S.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303924,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walter, Donald A. 0000-0003-0879-4477 dawalter@usgs.gov","orcid":"https://orcid.org/0000-0003-0879-4477","contributorId":1101,"corporation":false,"usgs":true,"family":"Walter","given":"Donald","email":"dawalter@usgs.gov","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303923,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Other contributing authors: Bent, Gardner C.","contributorId":106219,"corporation":false,"usgs":true,"family":"Other contributing authors: Bent","given":"Gardner","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":303927,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Massey, Andrew J. 0000-0003-3995-8657 ajmassey@usgs.gov","orcid":"https://orcid.org/0000-0003-3995-8657","contributorId":1862,"corporation":false,"usgs":true,"family":"Massey","given":"Andrew","email":"ajmassey@usgs.gov","middleInitial":"J.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303925,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}