{"pageNumber":"101","pageRowStart":"2500","pageSize":"25","recordCount":16446,"records":[{"id":70178189,"text":"70178189 - 2016 - Karst","interactions":[],"lastModifiedDate":"2020-08-25T16:59:32.756086","indexId":"70178189","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"89","title":"Karst","docAbstract":"Karst areas present unique hydrologic and hydrogeological characteristics that\nare often challenging to investigate. These characteristics are largely dependent\non the extent of development of solution conduits within the underlying bedrock,\nand the resulting integration of surface and subsurface drainage components\ninto a karst aquifer system. The investigation and characterization of\nkarst aquifers typically require a multidisciplinary approach and the use of\nrelatively specialized methods such as tracer testing, spring discharge monitoring,\nand various hydrograph separation or modeling techniques. Conventional\nmethods of hydrologic or hydrogeologic investigation may be applied successfully\nfor specific purposes; however, proper conceptualization of a given karst\naquifer system is a requirement for effective analysis, modeling, and interpretation\nof karst hydrologic and hydrogeologic data.","language":"English","publisher":"McGraw-Hill","isbn":"9780071835091","usgsCitation":"Taylor, C., and Doctor, D., 2016, Karst, p. 89-1-89-14.","productDescription":"14 p.","startPage":"89-1","endPage":"89-14","ipdsId":"IP-068743","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":330873,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":330782,"type":{"id":15,"text":"Index Page"},"url":"https://www.mhprofessional.com/9780071835091-usa-handbook-of-applied-hydrology-second-edition"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5822f23ae4b0ef3123a9701c","contributors":{"editors":[{"text":"Singh, Vijay P.","contributorId":176741,"corporation":false,"usgs":false,"family":"Singh","given":"Vijay","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":653370,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Taylor, C.J.","contributorId":22337,"corporation":false,"usgs":true,"family":"Taylor","given":"C.J.","email":"","affiliations":[],"preferred":false,"id":653368,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doctor, D.H.","contributorId":94773,"corporation":false,"usgs":true,"family":"Doctor","given":"D.H.","affiliations":[],"preferred":false,"id":653369,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70177954,"text":"70177954 - 2016 - Time-lapse gravity data for monitoring and modeling artificial recharge through a thick unsaturated zone","interactions":[],"lastModifiedDate":"2016-11-01T09:35:06","indexId":"70177954","displayToPublicDate":"2016-10-31T16:00:00","publicationYear":"2016","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":"Time-lapse gravity data for monitoring and modeling artificial recharge through a thick unsaturated zone","docAbstract":"Groundwater-level measurements in monitoring wells or piezometers are the most common, and often the only, hydrologic measurements made at artificial recharge facilities. Measurements of gravity change over time provide an additional source of information about changes in groundwater storage, infiltration, and for model calibration. We demonstrate that for an artificial recharge facility with a deep groundwater table, gravity data are more sensitive to movement of water through the unsaturated zone than are groundwater levels. Groundwater levels have a delayed response to infiltration, change in a similar manner at many potential monitoring locations, and are heavily influenced by high-frequency noise induced by pumping; in contrast, gravity changes start immediately at the onset of infiltration and are sensitive to water in the unsaturated zone. Continuous gravity data can determine infiltration rate, and the estimate is only minimally affected by uncertainty in water-content change. Gravity data are also useful for constraining parameters in a coupled groundwater-unsaturated zone model (Modflow-NWT model with the Unsaturated Zone Flow (UZF) package).","language":"English","publisher":"American Geophysical Union (Wiley)","doi":"10.1002/2016WR018770","usgsCitation":"Kennedy, J.R., Ferre, T.P., and Creutzfeldt, B., 2016, Time-lapse gravity data for monitoring and modeling artificial recharge through a thick unsaturated zone: Water Resources Research, v. 52, no. 9, p. 7244-7261, https://doi.org/10.1002/2016WR018770.","productDescription":"18 p.","startPage":"7244","endPage":"7261","ipdsId":"IP-071051","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":462047,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016wr018770","text":"Publisher Index Page"},{"id":330583,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"9","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-22","publicationStatus":"PW","scienceBaseUri":"5818582be4b0bb36a4c6f9fb","contributors":{"authors":[{"text":"Kennedy, Jeffrey R. 0000-0002-3365-6589 jkennedy@usgs.gov","orcid":"https://orcid.org/0000-0002-3365-6589","contributorId":2172,"corporation":false,"usgs":true,"family":"Kennedy","given":"Jeffrey","email":"jkennedy@usgs.gov","middleInitial":"R.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":652465,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ferre, Ty P.A.","contributorId":176481,"corporation":false,"usgs":false,"family":"Ferre","given":"Ty","email":"","middleInitial":"P.A.","affiliations":[],"preferred":false,"id":652466,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Creutzfeldt, Benjamin","contributorId":176482,"corporation":false,"usgs":false,"family":"Creutzfeldt","given":"Benjamin","email":"","affiliations":[],"preferred":false,"id":652467,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70177949,"text":"70177949 - 2016 - Persistence and diversity of directional landscape connectivity improves biomass pulsing in expanding and contracting wetlands","interactions":[],"lastModifiedDate":"2016-11-01T09:37:05","indexId":"70177949","displayToPublicDate":"2016-10-31T14:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1452,"text":"Ecological Complexity","active":true,"publicationSubtype":{"id":10}},"title":"Persistence and diversity of directional landscape connectivity improves biomass pulsing in expanding and contracting wetlands","docAbstract":"In flood-pulsed ecosystems, hydrology and landscape structure mediate transfers of energy up the food chain by expanding and contracting in area, enabling spatial expansion and growth of fish populations during rising water levels, and subsequent concentration during the drying phase. Connectivity of flooded areas is dynamic as waters rise and fall, and is largely determined by landscape geomorphology and anisotropy. We developed a methodology for simulating fish dispersal and concentration on spatially-explicit, dynamic floodplain wetlands with pulsed food web dynamics, to evaluate how changes in connectivity through time contribute to the concentration of fish biomass that is essential for higher trophic levels. The model also tracks a connectivity index (DCI) over different compass directions to see if fish biomass dynamics can be related in a simple way to topographic pattern. We demonstrate the model for a seasonally flood-pulsed, oligotrophic system, the Everglades, where flow regimes have been greatly altered. Three dispersing populations of functional fish groups were simulated with empirically-based dispersal rules on two landscapes, and two twelve-year time series of managed water levels for those areas were applied. The topographies of the simulations represented intact and degraded ridge-and-slough landscapes (RSL). Simulation results showed large pulses of biomass concentration forming during the onset of the drying phase, when water levels were falling and fish began to converge into the sloughs. As water levels fell below the ridges, DCI declined over different directions, closing down dispersal lanes, and fish density spiked. Persistence of intermediate levels of connectivity on the intact RSL enabled persistent concentration events throughout the drying phase. The intact landscape also buffered effects of wet season population growth. Water level reversals on both landscapes negatively affected fish densities by depleting fish populations without allowing enough time for them to regenerate. Testable, spatiotemporal predictions of the timing, location, duration, and magnitude of fish concentration pulses were produced by the model, and can be applied to restoration planning.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecocom.2016.08.004","usgsCitation":"Yurek, S., DeAngelis, D.L., Trexler, J.C., Klassen, S., and Larsen, L., 2016, Persistence and diversity of directional landscape connectivity improves biomass pulsing in expanding and contracting wetlands: Ecological Complexity, v. 28, p. 1-11, https://doi.org/10.1016/j.ecocom.2016.08.004.","productDescription":"11 p.","startPage":"1","endPage":"11","ipdsId":"IP-071259","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":330582,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5818582ce4b0bb36a4c6f9fd","contributors":{"authors":[{"text":"Yurek, Simeon 0000-0002-6209-7915 syurek@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-7915","contributorId":103167,"corporation":false,"usgs":true,"family":"Yurek","given":"Simeon","email":"syurek@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":652525,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":148065,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald","email":"don_deangelis@usgs.gov","middleInitial":"L.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":652526,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Trexler, Joel C.","contributorId":36267,"corporation":false,"usgs":false,"family":"Trexler","given":"Joel","email":"","middleInitial":"C.","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":652527,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Klassen, Stephen","contributorId":41578,"corporation":false,"usgs":true,"family":"Klassen","given":"Stephen","email":"","affiliations":[],"preferred":false,"id":652528,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Larsen, Laurel G. lglarsen@usgs.gov","contributorId":1987,"corporation":false,"usgs":true,"family":"Larsen","given":"Laurel G.","email":"lglarsen@usgs.gov","affiliations":[],"preferred":false,"id":652558,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192934,"text":"70192934 - 2016 - Loads of nitrate, phosphorus, and total suspended solids from Indiana watersheds","interactions":[],"lastModifiedDate":"2017-10-30T11:11:51","indexId":"70192934","displayToPublicDate":"2016-10-30T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3159,"text":"Proceedings of the Indiana Academy of Science","active":true,"publicationSubtype":{"id":10}},"title":"Loads of nitrate, phosphorus, and total suspended solids from Indiana watersheds","docAbstract":"Transport of excess nutrients and total suspended solids (TSS) such as sediment by freshwater systems has led to degradation of aquatic ecosystems around the world. Nutrient and TSS loads from Midwestern states to the Mississippi River are a major contributor to the Gulf of Mexico Hypoxic Zone, an area of very low dissolved oxygen concentration in the Gulf of Mexico. To better understand Indiana’s contribution of nutrients and TSS to the Mississippi River, annual loads of nitrate plus nitrite as nitrogen, total phosphorus, and TSS were calculated for nine selected watersheds in Indiana using the load estimation model, S-LOADEST. Discrete water-quality samples collected monthly by the Indiana Department of Environmental Management’s Fixed Stations Monitoring Program from 2000–2010 and concurrent discharge data from the U. S. Geological Survey streamflow gages were used to create load models. Annual nutrient and TSS loads varied across Indiana by watershed and hydrologic condition. Understanding the loads from large river sites in Indiana is important for assessing contributions of nutrients and TSS to the Mississippi River Basin and in determining the effectiveness of best management practices in the state. Additionally, evaluation of loads from smaller upstream watersheds is important to characterize improvements at the local level and to identify priorities for reduction.","language":"English","publisher":"Indiana Academy of Sciences","usgsCitation":"Bunch, A.R., 2016, Loads of nitrate, phosphorus, and total suspended solids from Indiana watersheds: Proceedings of the Indiana Academy of Science, v. 125, p. 137-150.","productDescription":"14 p.","startPage":"137","endPage":"150","numberOfPages":"14","ipdsId":"IP-070855","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":347653,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":347652,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.indianaacademyofscience.org/publications/proceedings"}],"volume":"125","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f83a3be4b063d5d3098102","contributors":{"authors":[{"text":"Bunch, Aubrey R. 0000-0002-2453-3624 aurbunch@usgs.gov","orcid":"https://orcid.org/0000-0002-2453-3624","contributorId":4351,"corporation":false,"usgs":true,"family":"Bunch","given":"Aubrey","email":"aurbunch@usgs.gov","middleInitial":"R.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":717378,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70177152,"text":"sir20165154 - 2016 - Hydrogeologic framework of LaSalle County, Illinois","interactions":[],"lastModifiedDate":"2016-11-01T10:45:34","indexId":"sir20165154","displayToPublicDate":"2016-10-28T09:30:00","publicationYear":"2016","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":"2016-5154","title":"Hydrogeologic framework of LaSalle County, Illinois","docAbstract":"<p>Water-supply needs in LaSalle County in northern Illinois are met by surface water and groundwater. Water-supply needs are expected to increase to serve future residential and mining uses. Available information on water use, geology, surface-water and groundwater hydrology, and water quality provides a hydrogeologic framework for LaSalle County that can be used to help plan the future use of the water resources.</p><p>The Illinois, Fox, and Vermilion Rivers are the primary surface-water bodies in LaSalle County. These and other surface-water bodies are used for wastewater disposal in the county. The Vermilion River is used as a drinking-water supply in the southern part of the county. Water from the Illinois and Fox Rivers also is used for the generation of electric power.</p><p>Glacial drift aquifers capable of yielding sufficient water for public supply are expected to be present in the Illinois River Valley in the western part of the county, the Troy Bedrock Valley in the northwestern part of the county, and in the Ticona Bedrock Valley in the south-central part of the county. Glacial drift aquifers capable of yielding sufficient water for residential supply are present in most of the county, although well yield often needs to be improved by using large-diameter wells. Arsenic concentrations above health-based standards have been detected in some wells in this aquifer. These aquifers are a viable source for additional water supply in some areas, but would require further characterization prior to full development.</p><p>Shallow bedrock deposits comprising the sandstone units of the Ancell Group, the Prairie du Chien Group, dolomite of the Galena and Platteville Groups, and Silurian-aged dolomite are utilized for water supply where these units are at or near the bedrock surface or where overlain by Pennsylvanian-aged deposits. The availability of water from the shallow bedrock deposits depends primarily on the geologic unit analyzed. All these deposits can yield sufficient water for residential supply in at least some parts of the county, and sandstone deposits in the Ancell and Prairie du Chien Groups can yield sufficient water for residential or public supply in much of the county.</p><p>The Cambrian-Ordovician aquifer system comprises the most widespread, productive aquifers in northern Illinois and is used for water supply by a number of municipalities in the county. Water levels in the aquifer system have declined by as much as 300 feet in parts of LaSalle County. The aquifer contains naturally occurring concentrations of radium that are higher than established health guidelines in much of the county.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165154","collaboration":"Prepared in cooperation with the LaSalle County Board  and Northwestern University ","usgsCitation":"Kay, R.T., and Bailey, C.R., 2016, Hydrogeologic framework of LaSalle County, Illinois: U.S. Geological Survey Scientific Investigations Report 2016–5154, 97 p., https://dx.doi.org/10.3133/sir20165154.","productDescription":"vii, 97 p.","numberOfPages":"110","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-075663","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":330347,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5154/coverthb3.jpg"},{"id":330348,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5154/sir20165154.pdf","text":"Report","size":"11.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5154"}],"country":"United States","state":"Illinois","county":"LaSalle County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-88.602,41.6331],[-88.6001,41.5454],[-88.5975,41.4565],[-88.5943,41.3697],[-88.59,41.2826],[-88.5892,41.1959],[-88.5873,41.1106],[-88.7007,41.1095],[-88.8148,41.1084],[-88.9306,41.1067],[-88.9313,41.0164],[-88.9314,40.9279],[-89.0476,40.9261],[-89.0482,40.9261],[-89.0479,40.9833],[-89.0495,41.0155],[-89.0529,41.0595],[-89.0468,41.0622],[-89.0477,41.1053],[-89.1617,41.1048],[-89.1637,41.1928],[-89.1645,41.2799],[-89.165,41.3099],[-89.1649,41.3221],[-89.1654,41.3661],[-89.1664,41.4079],[-89.1668,41.4542],[-89.1672,41.4964],[-89.1676,41.5418],[-89.168,41.5845],[-89.1672,41.629],[-89.0529,41.6273],[-89.0099,41.6271],[-88.9381,41.6291],[-88.8158,41.6321],[-88.712,41.6324],[-88.602,41.6331]]]},\"properties\":{\"name\":\"La Salle\",\"state\":\"IL\"}}]}","contact":"<p><a href=\"mailto:dc_il@usgs.gov\" data-mce-href=\"mailto:dc_il@usgs.gov\">Director</a>, Illinois Water Science Center<br> U.S. Geological Survey<br> 405 N Goodwin<br> Urbana, IL 61801</p><p>Or visit our Web site at:<br> <a href=\"http://il.water.usgs.gov\" data-mce-href=\"http://il.water.usgs.gov\">http://il.water.usgs.gov</a></p>","tableOfContents":"<ul>\n<li>Abstract</li>\n<li>Introduction</li>\n<li>Hydrogeologic Framework and Groundwater Resources</li>\n<li>Water Quality</li>\n<li>Summary and Conclusions</li>\n<li>Selected References</li>\n<li>Glossary</li>\n<li>Appendix 1. Assessment of Geologic Deposits, LaSalle County, Illinois</li>\n<li>Appendix 2.&nbsp;Surface-Water-Quality Data, LaSalle County, Illinois</li>\n<li>Appendix 3. Specific-Capacity Analysis for Wells Open to the Ancell Aquifer, LaSalle County, Illinois</li>\n</ul>","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"publishedDate":"2016-10-28","noUsgsAuthors":false,"publicationDate":"2016-10-28","publicationStatus":"PW","scienceBaseUri":"581463a6e4b0bb36a4c2d2e4","contributors":{"authors":[{"text":"Kay, Robert T. 0000-0002-6281-8997 rtkay@usgs.gov","orcid":"https://orcid.org/0000-0002-6281-8997","contributorId":1122,"corporation":false,"usgs":true,"family":"Kay","given":"Robert","email":"rtkay@usgs.gov","middleInitial":"T.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":651417,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bailey, Clinton R. 0000-0003-3951-2268 cbailey@usgs.gov","orcid":"https://orcid.org/0000-0003-3951-2268","contributorId":5457,"corporation":false,"usgs":true,"family":"Bailey","given":"Clinton","email":"cbailey@usgs.gov","middleInitial":"R.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":651418,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70177782,"text":"ds1025 - 2016 - Water-level data for the Albuquerque Basin and adjacent areas, central New Mexico, period of record through September 30, 2015","interactions":[],"lastModifiedDate":"2021-08-26T14:14:58.18205","indexId":"ds1025","displayToPublicDate":"2016-10-27T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1025","displayTitle":"Water-Level Data for the Albuquerque Basin and Adjacent Areas, Central New Mexico, Period of Record Through September 30, 2015","title":"Water-level data for the Albuquerque Basin and adjacent areas, central New Mexico, period of record through September 30, 2015","docAbstract":"<p>The Albuquerque Basin, located in central New Mexico, is about 100 miles long and 25–40 miles wide. The basin is hydrologically defined as the extent of consolidated and unconsolidated deposits of Tertiary and Quaternary age that encompasses the structural Rio Grande Rift between San Acacia to the south and Cochiti Lake to the north. Drinking-water supplies throughout the basin were obtained solely from groundwater resources until December 2008, when the Albuquerque Bernalillo County Water Utility Authority (ABCWUA) began treatment and distribution of surface water from the Rio Grande through the San Juan-Chama Drinking Water Project. A 20-percent population increase in the basin from 1990 to 2000 and a 22-percent population increase from 2000 to 2010 may have resulted in an increased demand for water in areas within the basin.</p><p>An initial network of wells was established by the U.S. Geological Survey (USGS) in cooperation with the City of Albuquerque from April 1982 through September 1983 to monitor changes in groundwater levels throughout the Albuquerque Basin. In 1983, this network consisted of 6 wells with analog-to-digital recorders and 27 wells where water levels were measured monthly. The network currently (2015) consists of 124 wells and piezometers. (A piezometer is a specialized well open to a specific depth in the aquifer, often of small diameter and nested with other piezometers open to different depths.) The USGS, in cooperation with the ABCWUA, currently (2015) measures and reports water levels from the 124 wells and piezometers in the network; this report presents water-level data collected by USGS personnel at those 124 sites through water year 2015 (October 1, 2014, through September 30, 2015).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1025","isbn":"978-1-4113-4091-6","collaboration":"Prepared in cooperation with the Albuquerque Bernalillo County Water Utility Authority","usgsCitation":"Beman, J.E., and Bryant, C.F., 2016, Water-level data for the Albuquerque Basin and adjacent areas, central New Mexico, period of record through September 30, 2015 (ver. 1.1, August 2021): U.S. Geological Survey Data Series 1025, 39 p., https://doi.org/10.3133/ds1025.","productDescription":"iv, 39 p.","numberOfPages":"47","onlineOnly":"Y","ipdsId":"IP-079076","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":388365,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/ds/1025/versionHist.txt","text":"Version History","linkFileType":{"id":2,"text":"txt"},"description":"DS 1025 Version History"},{"id":388364,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1025/ds1025.pdf","text":"Report","size":"5.06 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 1025"},{"id":330503,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1025/coverthb2.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Albuquerque Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -107.5,\n              34.2\n            ],\n            [\n              -107.5,\n              35.75\n            ],\n            [\n              -106,\n              35.75\n            ],\n            [\n              -106,\n              34.2\n            ],\n            [\n              -107.5,\n              34.2\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.1: August 2021","contact":"<p><a href=\"mailto:%20dc_nm@usgs.gov\" data-mce-href=\"mailto:%20dc_nm@usgs.gov\">Director</a>, <a href=\"http://nm.water.usgs.gov/\" data-mce-href=\"http://nm.water.usgs.gov/\">New Mexico Water Science Center</a><br>U.S. Geological Survey<br>6700 Edith Blvd. NE<br>Albuquerque, NM 87113<br></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Water-Level Data</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2016-10-27","revisedDate":"2021-08-24","noUsgsAuthors":false,"publicationDate":"2016-10-27","publicationStatus":"PW","scienceBaseUri":"5813125de4b0b5a0c12ab667","contributors":{"authors":[{"text":"Beman, Joseph E. 0000-0002-0689-029X jebeman@usgs.gov","orcid":"https://orcid.org/0000-0002-0689-029X","contributorId":2619,"corporation":false,"usgs":true,"family":"Beman","given":"Joseph","email":"jebeman@usgs.gov","middleInitial":"E.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":651786,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bryant, Christina F. cbryant@usgs.gov","contributorId":176166,"corporation":false,"usgs":true,"family":"Bryant","given":"Christina F.","email":"cbryant@usgs.gov","affiliations":[],"preferred":false,"id":651787,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70177926,"text":"70177926 - 2016 - Optimization of a sample processing protocol for recovery of <i>Bacillus anthracis</i> spores from soil","interactions":[],"lastModifiedDate":"2018-08-07T12:16:22","indexId":"70177926","displayToPublicDate":"2016-10-27T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2390,"text":"Journal of Microbiological Methods","active":true,"publicationSubtype":{"id":10}},"title":"Optimization of a sample processing protocol for recovery of <i>Bacillus anthracis</i> spores from soil","docAbstract":"<p><span>Following a release of </span><i>Bacillus anthracis</i><span> spores into the environment, there is a potential for lasting environmental contamination in soils. There is a need for detection protocols for </span><i>B. anthracis</i><span> in environmental matrices. However, identification of </span><i>B. anthracis</i><span> within a soil is a difficult task. Processing soil samples helps to remove debris, chemical components, and biological impurities that can interfere with microbiological detection. This study aimed to optimize a previously used indirect processing protocol, which included a series of washing and centrifugation steps. Optimization of the protocol included: identifying an ideal extraction diluent, variation in the number of wash steps, variation in the initial centrifugation speed, sonication and shaking mechanisms. The optimized protocol was demonstrated at two laboratories in order to evaluate the recovery of spores from loamy and sandy soils. The new protocol demonstrated an improved limit of detection for loamy and sandy soils over the non-optimized protocol with an approximate matrix limit of detection at 14&nbsp;spores/g of soil. There were no significant differences overall between the two laboratories for either soil type, suggesting that the processing protocol will be robust enough to use at multiple laboratories while achieving comparable recoveries.</span></p>","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.mimet.2016.08.013","collaboration":"US Environmental Protection Agency; Pegasus Technical Services, Inc.","usgsCitation":"Silvestri, E.E., Feldhake, D., Griffin, D., Lisle, J.T., Nichols, T.L., Shah, S., Pemberton, A., and Schaefer III, F., 2016, Optimization of a sample processing protocol for recovery of <i>Bacillus anthracis</i> spores from soil: Journal of Microbiological Methods, v. 130, p. 6-13, https://doi.org/10.1016/j.mimet.2016.08.013.","productDescription":"8 p.","startPage":"6","endPage":"13","ipdsId":"IP-074239","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":470482,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.mimet.2016.08.013","text":"Publisher Index Page"},{"id":330492,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"130","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5813125ce4b0b5a0c12ab64e","contributors":{"authors":[{"text":"Silvestri, Erin E.","contributorId":127343,"corporation":false,"usgs":false,"family":"Silvestri","given":"Erin","email":"","middleInitial":"E.","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":652288,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Feldhake, David","contributorId":176367,"corporation":false,"usgs":false,"family":"Feldhake","given":"David","email":"","affiliations":[],"preferred":false,"id":652289,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Griffin, Dale dgriffin@usgs.gov","contributorId":176366,"corporation":false,"usgs":true,"family":"Griffin","given":"Dale","email":"dgriffin@usgs.gov","affiliations":[],"preferred":true,"id":652287,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lisle, John T. 0000-0002-5447-2092 jlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-5447-2092","contributorId":2944,"corporation":false,"usgs":true,"family":"Lisle","given":"John","email":"jlisle@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":652286,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nichols, Tonya L.","contributorId":127345,"corporation":false,"usgs":false,"family":"Nichols","given":"Tonya","email":"","middleInitial":"L.","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":652292,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shah, Sanjiv","contributorId":176370,"corporation":false,"usgs":false,"family":"Shah","given":"Sanjiv","email":"","affiliations":[],"preferred":false,"id":652293,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pemberton, A","contributorId":176369,"corporation":false,"usgs":false,"family":"Pemberton","given":"A","email":"","affiliations":[],"preferred":false,"id":652291,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schaefer III, Frank W","contributorId":176368,"corporation":false,"usgs":false,"family":"Schaefer III","given":"Frank W","affiliations":[],"preferred":false,"id":652290,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70177924,"text":"70177924 - 2016 - Sources, distributions and dynamics of dissolved organic matter in the Canada and Makarov Basins","interactions":[],"lastModifiedDate":"2019-12-14T07:08:30","indexId":"70177924","displayToPublicDate":"2016-10-27T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"Sources, distributions and dynamics of dissolved organic matter in the Canada and Makarov Basins","docAbstract":"<p><span>A comprehensive survey of dissolved organic carbon (DOC) and chromophoric dissolved organic matter (CDOM) was conducted in the Canada and Makarov Basins and adjacent seas during 2010–2012 to investigate the dynamics of dissolved organic matter (DOM) in the Arctic Ocean. Sources and distributions of DOM in polar surface waters were very heterogeneous and closely linked to hydrological conditions. Canada Basin surface waters had relatively low DOC concentrations (69 ± 6 μmol L</span><sup>−1</sup><span>), CDOM absorption (</span><i>a</i><sub>325</sub><span>: 0.32 ± 0.07 m</span><sup>−1</sup><span>) and CDOM-derived lignin phenols (3 ± 0.4 nmol L</span><sup>−1</sup><span>), and high spectral slope values (</span><i>S</i><sub>275–295</sub><span>: 31.7 ± 2.3 μm</span><sup>−1</sup><span>), indicating minor terrigenous inputs and evidence of photochemical alteration in the Beaufort Gyre. By contrast, surface waters of the Makarov Basin had elevated DOC (108 ± 9 μmol L</span><sup>−1</sup><span>) and lignin phenol concentrations (15 ± 3 nmol L</span><sup>−1</sup><span>), high </span><i>a</i><sub>325</sub><span> values (1.36 ± 0.18 m</span><sup>−1</sup><span>), and low </span><i>S</i><sub>275–295</sub><span> values (22.8 ± 0.8 μm</span><sup>−1</sup><span>), indicating pronounced Siberian river inputs associated with the Transpolar Drift and minor photochemical alteration. Observations near the Mendeleev Plain suggested limited interactions of the Transpolar Drift with Canada Basin waters, a scenario favoring export of Arctic DOM to the North Atlantic. The influence of sea-ice melt on DOM was region-dependent, resulting in an increase (Beaufort Sea), a decrease (Bering-Chukchi Seas), and negligible change (deep basins) in surface DOC concentrations and </span><i>a</i><sub>325</sub><span> values. Halocline structures differed between basins, but the Canada Basin upper halocline and Makarov Basin halocline were comparable in their average DOC (65–70 μmol L</span><sup>−1</sup><span>) and lignin phenol concentrations (3–4 nmol L</span><sup>−1</sup><span>) and </span><i>S</i><sub>275–295</sub><span> values (22.9–23.7 μm</span><sup>−1</sup><span>). Deep-water DOC concentrations decreased by 6–8 μmol L</span><sup>−1</sup><span> with increasing depth, water mass age, nutrient concentrations, and apparent oxygen utilization. Maximal estimates of DOC degradation rates (0.036–0.039 μmol L</span><sup>−1</sup><span> yr</span><sup>−1</sup><span>) in the deep Arctic were lower than those in other ocean basins, possibly due to low water temperatures. DOC concentrations in bottom waters (&gt;2500 m; 46 ± 2 μmol L</span><sup>−1</sup><span>) of the Canada and Makarov Basins were slightly lower than those reported for deep waters of the Eurasian Basin and Nordic Seas. Elevated </span><i>a</i><sub>325</sub><span> values (by 10–20%) were observed near the seafloor, indicating biological activity in Arctic basin sediments.</span></p>","language":"English","publisher":"Frontiers","doi":"10.3389/fmars.2016.00198","usgsCitation":"Shen, Y., Benner, R., Robbins, L.L., and Wynn, J., 2016, Sources, distributions and dynamics of dissolved organic matter in the Canada and Makarov Basins: Frontiers in Marine Science, v. 3, 198, 20 p., https://doi.org/10.3389/fmars.2016.00198.","productDescription":"198, 20 p.","ipdsId":"IP-078968","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470487,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2016.00198","text":"Publisher Index Page"},{"id":330491,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-18","publicationStatus":"PW","scienceBaseUri":"5813125ce4b0b5a0c12ab659","contributors":{"authors":[{"text":"Shen, Yuan","contributorId":176364,"corporation":false,"usgs":false,"family":"Shen","given":"Yuan","email":"","affiliations":[],"preferred":false,"id":652281,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benner, Ronald","contributorId":176363,"corporation":false,"usgs":false,"family":"Benner","given":"Ronald","email":"","affiliations":[],"preferred":false,"id":652280,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robbins, Lisa L. 0000-0003-3681-1094 lrobbins@usgs.gov","orcid":"https://orcid.org/0000-0003-3681-1094","contributorId":422,"corporation":false,"usgs":true,"family":"Robbins","given":"Lisa","email":"lrobbins@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":652279,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wynn, Jonathan","contributorId":9943,"corporation":false,"usgs":false,"family":"Wynn","given":"Jonathan","affiliations":[],"preferred":false,"id":652282,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70174874,"text":"sir20165048 - 2016 - Assessment of hydrogeologic terrains, well-construction characteristics, groundwater hydraulics, and water-quality and microbial data for determination of surface-water-influenced groundwater supplies in West Virginia","interactions":[],"lastModifiedDate":"2016-10-24T13:52:21","indexId":"sir20165048","displayToPublicDate":"2016-10-24T10:50:00","publicationYear":"2016","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":"2016-5048","title":"Assessment of hydrogeologic terrains, well-construction characteristics, groundwater hydraulics, and water-quality and microbial data for determination of surface-water-influenced groundwater supplies in West Virginia","docAbstract":"<p>In January 2014, a storage tank leaked, spilling a large quantity of 4-methylcyclohexane methanol into the Elk River in West Virginia and contaminating the water supply for more than 300,000 people. In response, the West Virginia Legislature passed Senate Bill 373, which requires the West Virginia Department of Health and Human Resources (WVDHHR) to assess the susceptibility and vulnerability of public surface-water-influenced groundwater supply sources (SWIGS) and surface-water intakes statewide. In response to this mandate for reassessing SWIGS statewide, the U.S. Geological Survey (USGS), in cooperation with the WVDHHR, Bureau of Public Health, Office of Environmental Health Services, compiled available data and summarized the results of previous groundwater studies to provide the WVDHHR with data that could be used as part of the process for assessing and determining SWIGS.</p>\n<p>Existing geologic, hydrologic, well-construction, water-quality, and other related data and information from previous U.S. Geological Survey (USGS) hydrogeologic studies and the USGS National Water Information System (NWIS) database, in conjunction with data from the West Virginia Bureau for Public Health (WVBPH) Department of Health and Human Resources (WVDHHR) and the West Virginia Department of Environmental Protection database and files, were collected, compiled, and analyzed to help the WVDHHR to better assess public groundwater supply wells that may meet the definition of a surface-water-influenced- groundwater supply (SWIGS).</p>\n<p>In this study, measures of intrinsic susceptibility, which are characterized by the physical properties that affect the ease with which water moves through the unsaturated zone and, subsequently, into the saturated zone within an aquifer, showed that karst limestone aquifers are the aquifers most intrinsically susceptible to contamination within the State of West Virginia. Karst limestone aquifers are present within Cambrian- and Ordovician-age formations within West Virginia&rsquo;s eastern panhandle and in Mississippian-age limestones within the Greenbrier River valley. Solution development within these limestone aquifers allows rapid recharge and flow of groundwater within the aquifer, both of which allow surface contaminants to easily enter the aquifer and travel long distances in a short period of time.</p>\n<p>Alluvial aquifers bordering the Ohio River in western West Virginia are also potentially highly susceptible to contamination because these alluvial aquifers can receive significant recharge from the adjacent Ohio River. Any potential contaminants that may be present in the river have the potential to enter the aquifer and contaminate wells completed within the sand and gravel alluvial sediments within which the wells are completed. These same alluvial sediments, however, help to retard the movement of bacteria and other potentially pathogenic organisms, such as <i>Cryptosporidia</i> and <i>Giardia lamblia</i>, into the aquifer. As a result, samples from alluvial aquifers bordering the Ohio River and elsewhere within the State do not commonly test positive for indicator bacteria, such as total coliform, fecal coliform, or <i>Escherichia coli</i> (<i>E. coli</i>). The alluvial sediments do not, however, provide assimilative capacity with respect to water soluble compounds such as nitrate and certain volatile and semi-volatile organic compounds. Therefore, the Ohio River alluvial aquifers are highly susceptible to organic compounds present in the river or on the land surface near a well. These aquifers are also susceptible to nitrate contamination from fertilizers, pesticides, and manure, which are commonly used on the fertile agricultural soils present on terraces along the Ohio River.</p>\n<p>Abandoned-coal-mine aquifers, which are typically used as a source of groundwater in southern West Virginia, are moderately susceptible to contamination. The vast network of voids from mine entries provide vast storage for groundwater in abandoned mine aquifers, and fracturing of overburden strata, which is common in areas of past or current mining, can allow rapid infiltration of contaminants to the aquifer. Where streams cross over below-drainage underground coal mines, there is an increased potential for contamination of coal-mine aquifers. As a result, above-drainage underground coal mines, those mines that are present at an elevation above local tributary drainage, are probably less susceptible to contamination than are below-drainage underground coal mines. Public groundwater supplies in abandoned coal mines need to be evaluated on a case-by-case basis to assess the potential for recharge of contaminated surface water to enter below-drainage underground coal-mine aquifers and to assess potential hydraulic conductivity to nearby surface-water bodies, such as lakes, ponds, rivers, or streams.</p>\n<p>Fractured-rock aquifers compose an additional major type of aquifer within the State of West Virginia. Owing to their low permeability and their typically small groundwater capture areas, fractured-rock aquifers within the State of West Virginia typically have low susceptibility to contamination. However, there are exceptions, and wells completed in fractured-rock aquifers that are in close proximity to streams may be adversely affected by induced recharge from the stream. Where such systems are present, frequent bacterial testing of the source water can be used to ascertain the potential for microbial contamination of the aquifer.</p>\n<p>Intrinsic susceptibility alone does not fully predict whether or not a well is vulnerable to contamination, only that the hydrogeologic terrain is suitable for rapid transport of pathogenic organisms or chemical compounds to and within the aquifer. However, contaminants may or may not be present in the recharge water to an individual well or well field. Therefore, an assessment of potential contaminant sources, such as nearby gas wells, landfills, underground storage tanks, above ground storage tanks, major transportation corridors, surface or underground coal mines, and flood plains, is needed to assess vulnerability. The assessments need to be conducted on a case-by-case basis or, as has been done in this study, by collecting and compiling the number of potential contaminant sources that may be present in the source-water-protection area for an individual public groundwater supply source.</p>\n<p>Groundwater public-supply systems in areas of high intrinsic susceptibility and with a large number of potential contaminant sources within the recharge or source-water-protection area of individual wells or well fields are potentially vulnerable to contamination and probably warrant further evaluation as potential SWIGS. However, measures can be taken to educate the local population and initiate safety protocols and protective strategies to appropriately manage contaminant sources to prevent release of contaminants to the aquifer, therefore, reducing vulnerability of these systems to contamination. However, each public groundwater supply source needs to be assessed on an individual basis. Data presented in this report can be used to categorize and prioritize wells and springs that have a high potential for intrinsic susceptibility or vulnerability to contamination.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165048","collaboration":"Prepared in cooperation with the West Virginia Department of Health and Human Resources, Bureau of Public Health, Office of Environmental Health Services","usgsCitation":"Kozar, M.D., and Paybins, K.S., 2016, Assessment of hydrogeologic terrains, well-construction characteristics, groundwater hydraulics, and water-quality and microbial data for determination of surface-water-influenced groundwater supplies in West Virginia (ver. 1.1, October 2016): U.S. Geological Survey Scientific Investigations Report 2016–5048, 55 p., https://dx.doi.org/10.3133/sir20165048.","productDescription":"Report: vii, 54 p.; 2 Figures; 3 Appendixes","numberOfPages":"67","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-065870","costCenters":[{"id":642,"text":"West Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":325448,"rank":3,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sir/2016/5048/sir20165048_figure3A.pdf","text":"Figure 3A -","size":"16.3 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"Major Geologic Formations in West Virginia"},{"id":325450,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5048/sir20165048_appendix1.xlsx","text":"Appendix 1 - ","size":"168 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"Description of 324 wells in West Virginia sampled as part of the U.S. Geological Survey and West Virginia Department of Environmental Protection statewide Ambient Groundwater Quality Monitoring Network"},{"id":325449,"rank":4,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sir/2016/5048/sir20165048_figure3B.pdf","text":"Figure 3B -","size":"745 KB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"Major geologic formations in the study area of the Blue Ridge Physiographic Province USGS National Water Quality Assessment study in Virginia and North Carolina"},{"id":325446,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5048/coverthb2.jpg"},{"id":325452,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5048/sir20165048_appendix3.xlsx","text":"Appendix 3 - ","size":"111 KB","linkHelpText":" Permit data for public groundwater supplies in West Virginia with accompanying counts of number of potential sources of contamination within the respective source-water-protection area for each public groundwater supply source"},{"id":325447,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5048/sir20165048.pdf","text":"Report","size":"25.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5048"},{"id":325451,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5048/sir20165048_appendix2.xlsx","text":"Appendix 2 - ","size":"115 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"Description of wells in West Virginia, including casing length and well depth, that are part of the U.S. Geological Survey Groundwater Site Inventory database with <i>Escherichia coli</i>, fecal coliform, and total coliform data that are stored in the U.S. Geological Survey Water-Quality database"},{"id":330340,"rank":8,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2016/5048/versionHist.txt","text":"Version History","size":"2.20 KB","linkFileType":{"id":2,"text":"txt"}}],"country":"United States","state":"West 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Virginia\",\"nation\":\"USA  \"}}]}","edition":"Version 1.0: Originally posted August 30, 2016; Version 1.1: October 24, 2016","contact":"<p>Director, West Virginia Water Science Center<br /> U.S. Geological Survey<br /> 11 Dunbar Street<br /> Charleston, WV 25301 <br /> <a href=\"http://wv.usgs.gov\">http://wv.usgs.gov</a></p>","tableOfContents":"<ul>\n<li>Abstract</li>\n<li>Introduction</li>\n<li>Methods of Study&nbsp;</li>\n<li>Hydrogeologic Terrains as a Factor for Assessing Aquifer Susceptibility</li>\n<li>Groundwater Hydraulics as a Factor for Assessing Aquifer Susceptibility&nbsp;</li>\n<li>Well-Construction Characteristics as a Factor for Assessing Vulnerability</li>\n<li>Water-Quality and Microbial Data as a Factor for Assessing Vulnerability</li>\n<li>Potential Sources of Contamination as a Factor for Assessing Vulnerability</li>\n<li>Summary of Aquifer Susceptibility and Vulnerability</li>\n<li>Summary</li>\n<li>References Cited</li>\n<li>Appendix 1. Description of 324 wells in West Virginia sampled as part of the U.S. Geological Survey and West Virginia Department of Environmental Protection statewide Ambient Groundwater Quality Monitoring Network</li>\n<li>Appendix 2. Description of wells in West Virginia, including casing length and well depth, that are part of the U.S. Geological Survey Groundwater Site Inventory database with <em>Escherichia coli</em>, fecal coliform, and total coliform data that are stored in the U.S. Geological Survey Water-Quality database</li>\n<li>Appendix 3. Permit data for public groundwater supplies in West Virginia with accompanying counts of number of potential sources of contamination within the respective source-water-protection area for each public groundwater supply source.</li>\n</ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2016-08-30","revisedDate":"2016-10-24","noUsgsAuthors":false,"publicationDate":"2016-08-30","publicationStatus":"PW","scienceBaseUri":"57c6a026e4b0f2f0cebdafb8","contributors":{"authors":[{"text":"Kozar, Mark D. 0000-0001-7755-7657 mdkozar@usgs.gov","orcid":"https://orcid.org/0000-0001-7755-7657","contributorId":1963,"corporation":false,"usgs":true,"family":"Kozar","given":"Mark","email":"mdkozar@usgs.gov","middleInitial":"D.","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":642941,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paybins, Katherine S. 0000-0002-3967-5043 kpaybins@usgs.gov","orcid":"https://orcid.org/0000-0002-3967-5043","contributorId":2805,"corporation":false,"usgs":true,"family":"Paybins","given":"Katherine","email":"kpaybins@usgs.gov","middleInitial":"S.","affiliations":[{"id":642,"text":"West Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":642942,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70177788,"text":"70177788 - 2016 - Plastic debris in 29 Great Lakes tributaries: Relations to watershed attributes and hydrology","interactions":[],"lastModifiedDate":"2016-10-21T16:17:09","indexId":"70177788","displayToPublicDate":"2016-10-21T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Plastic debris in 29 Great Lakes tributaries: Relations to watershed attributes and hydrology","docAbstract":"<p><span>Plastic debris is a growing contaminant of concern in freshwater environments, yet sources, transport, and fate remain unclear. This study characterized the quantity and morphology of floating micro- and macroplastics in 29 Great Lakes tributaries in six states under different land covers, wastewater effluent contributions, population densities, and hydrologic conditions. Tributaries were sampled three or four times each using a 333 μm mesh neuston net. Plastic particles were sorted by size, counted, and categorized as fibers/lines, pellets/beads, foams, films, and fragments. Plastics were found in all 107 samples, with a maximum concentration of 32 particles/m</span><sup>3</sup><span> and a median of 1.9 particles/m</span><sup>3</sup><span>. Ninety-eight percent of sampled plastic particles were less than 4.75 mm in diameter and therefore considered microplastics. Fragments, films, foams, and pellets/beads were positively correlated with urban-related watershed attributes and were found at greater concentrations during runoff-event conditions. Fibers, the most frequently detected particle type, were not associated with urban-related watershed attributes, wastewater effluent contribution, or hydrologic condition. Results from this study add to the body of information currently available on microplastics in different environmental compartments, including unique contributions to quantify their occurrence and variability in rivers with a wide variety of different land-use characteristics while highlighting differences between surface samples from rivers compared with lakes.</span></p>","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.6b02917","usgsCitation":"Baldwin, A.K., Corsi, S., and Mason, S.A., 2016, Plastic debris in 29 Great Lakes tributaries: Relations to watershed attributes and hydrology: Environmental Science & Technology, v. 50, no. 19, p. 10377-10385, https://doi.org/10.1021/acs.est.6b02917.","productDescription":"9 p.","startPage":"10377","endPage":"10385","ipdsId":"IP-074452","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":470494,"rank":4,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.6b02917","text":"Publisher Index Page"},{"id":438536,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7ZC80ZP","text":"USGS data release","linkHelpText":"Microplastics in 29 Great Lakes tributaries (2014-15)"},{"id":330332,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7ZC80ZP"},{"id":330289,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.87841796875,\n              41.07935114946899\n            ],\n            [\n              -92.87841796875,\n              46.7549166192819\n            ],\n            [\n              -77.47558593749999,\n              46.7549166192819\n            ],\n            [\n              -77.47558593749999,\n              41.07935114946899\n            ],\n            [\n              -92.87841796875,\n              41.07935114946899\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"50","issue":"19","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-14","publicationStatus":"PW","scienceBaseUri":"5810c529e4b0f497e7972c22","contributors":{"authors":[{"text":"Baldwin, Austin K. 0000-0002-6027-3823 akbaldwi@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3823","contributorId":4515,"corporation":false,"usgs":true,"family":"Baldwin","given":"Austin","email":"akbaldwi@usgs.gov","middleInitial":"K.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":651801,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Corsi, Steven R. 0000-0003-0583-5536 srcorsi@usgs.gov","orcid":"https://orcid.org/0000-0003-0583-5536","contributorId":172002,"corporation":false,"usgs":true,"family":"Corsi","given":"Steven R.","email":"srcorsi@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":651802,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mason, Sherri A.","contributorId":176172,"corporation":false,"usgs":false,"family":"Mason","given":"Sherri","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":651803,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70176961,"text":"sir20165139A - 2016 - Statistical analysis of lake levels and field study of groundwater and surface-water exchanges in the northeast Twin Cities Metropolitan Area, Minnesota, 2002 through 2015: Chapter A of <i>Water levels and groundwater and surface-water exchanges in lakes of the northeast Twin Cities Metropolitan Area, Minnesota, 2002 through 2015</i>","interactions":[{"subject":{"id":70176961,"text":"sir20165139A - 2016 - Statistical analysis of lake levels and field study of groundwater and surface-water exchanges in the northeast Twin Cities Metropolitan Area, Minnesota, 2002 through 2015: Chapter A of <i>Water levels and groundwater and surface-water exchanges in lakes of the northeast Twin Cities Metropolitan Area, Minnesota, 2002 through 2015</i>","indexId":"sir20165139A","publicationYear":"2016","noYear":false,"chapter":"A","title":"Statistical analysis of lake levels and field study of groundwater and surface-water exchanges in the northeast Twin Cities Metropolitan Area, Minnesota, 2002 through 2015: Chapter A of <i>Water levels and groundwater and surface-water exchanges in lakes of the northeast Twin Cities Metropolitan Area, Minnesota, 2002 through 2015</i>"},"predicate":"IS_PART_OF","object":{"id":70177056,"text":"sir20165139 - 2016 - Water levels and groundwater and surface-water exchanges in lakes of the northeast Twin Cities Metropolitan Area, Minnesota, 2002 through 2015","indexId":"sir20165139","publicationYear":"2016","noYear":false,"title":"Water levels and groundwater and surface-water exchanges in lakes of the northeast Twin Cities Metropolitan Area, Minnesota, 2002 through 2015"},"id":1}],"isPartOf":{"id":70177056,"text":"sir20165139 - 2016 - Water levels and groundwater and surface-water exchanges in lakes of the northeast Twin Cities Metropolitan Area, Minnesota, 2002 through 2015","indexId":"sir20165139","publicationYear":"2016","noYear":false,"title":"Water levels and groundwater and surface-water exchanges in lakes of the northeast Twin Cities Metropolitan Area, Minnesota, 2002 through 2015"},"lastModifiedDate":"2016-11-01T10:46:11","indexId":"sir20165139A","displayToPublicDate":"2016-10-19T00:00:00","publicationYear":"2016","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":"2016-5139","chapter":"A","title":"Statistical analysis of lake levels and field study of groundwater and surface-water exchanges in the northeast Twin Cities Metropolitan Area, Minnesota, 2002 through 2015: Chapter A of <i>Water levels and groundwater and surface-water exchanges in lakes of the northeast Twin Cities Metropolitan Area, Minnesota, 2002 through 2015</i>","docAbstract":"<p>Water levels declined from 2003 to 2011 in many lakes in Ramsey and Washington Counties in the northeast Twin Cities Metropolitan Area, Minnesota; however, water levels in other northeast Twin Cities Metropolitan Area lakes increased during the same period. Groundwater and surface-water exchanges can be important in determining lake levels where these exchanges are an important component of the water budget of a lake. An understanding of groundwater and surface-water exchanges in the northeast Twin Cities Metropolitan Area has been limited by the lack of hydrologic data. The U.S. Geological Survey, in cooperation with the Metropolitan Council and Minnesota Department of Health, completed a field and statistical study assessing lake-water levels and regional and local groundwater and surface-water exchanges near northeast Twin Cities Metropolitan Area lakes. This report documents the analysis of collected hydrologic, water-quality, and geophysical data; and existing hydrologic and geologic data to (1) assess the effect of physical setting and climate on lake-level fluctuations of selected lakes, (2) estimate potential percentages of surface-water contributions to well water across the northeast Twin Cities Metropolitan Area, (3) estimate general ages for waters extracted from the wells, and (4) assess groundwater inflow to lakes and lake-water outflow to aquifers downgradient from White Bear Lake. </p><p>Statistical analyses of lake levels during short-term (2002–10) and long-term (1925–2014) periods were completed to help understand lake-level changes across the northeast Twin Cities Metropolitan Area. Comparison of 2002–10 lake levels to several landscape and geologic characteristics explained variability in lake-level changes for 96 northeast Twin Cities Metropolitan Area lakes. Application of several statistical methods determined that (1) closed-basin lakes (without an active outlet) had larger lake-level declines than flow-through lakes with an outlet; (2) closed-basin lake-level changes reflected groundwater-level changes in the Quaternary, Prairie du Chien, and Jordan aquifers; (3) the installation of outlet-control structures, such as culverts and weirs, resulted in smaller multiyear lake-level changes than lakes without outlet-control structures; (4) water levels in lakes primarily overlying Superior Lobe deposits were significantly more variable than lakes primarily overlying Des Moines Lobe deposits; (5) lake-level declines were larger with increasing mean lake-level elevation; and (6) the frequency of some of these characteristics varies by landscape position. Flow-through lakes and lakes with outlet-control structures were more common in watersheds with more than 50 percent urban development compared to watersheds with less than 50 percent urban development. A comparison of two 35-year periods during 1925–2014 revealed that variability of annual mean lake levels in flow-through lakes increased when annual precipitation totals were more variable, whereas variability of annual mean lake levels in closed-basin lakes had the opposite pattern, being more variable when annual precipitation totals were less variable. </p><p>Oxygen-18/oxygen-16 and hydrogen-2/hydrogen-1 ratios for water samples from 40 wells indicated the well water was a mixture of surface water and groundwater in 31 wells, whereas ratios from water sampled from 9 other wells indicated that water from these wells receive no surface-water contribution. Of the 31 wells with a mixture of surface water and groundwater, 11 were downgradient from White Bear Lake, likely receiving water from deeper parts of the lake. </p><p>Age dating of water samples from wells indicated that the age of water in the Prairie du Chien and Jordan aquifers can vary widely across the northeast Twin Cities Metropolitan Area. Estimated ages of recharge for 9 of the 40 wells sampled for chlorofluorocarbon concentrations ranged widely from the early 1940s to mid-1970s. The wide range in estimated ages of recharge may have resulted from the wide range in the open-interval lengths and depths for the wells.</p><p>Results from stable isotope analyses of water samples, lake-sediment coring, continuous seismic-reflection profiling, and water-level and flow monitoring indicated that there is groundwater inflow from nearshore sites and lake-water outflow from deep-water sites in White Bear Lake. Continuous seismic-reflection profiling indicated that deep sections of White Bear, Pleasant, Turtle, and Big Marine Lakes have few trapped gases and little organic material, which indicates where groundwater and lake-water exchanges are more likely. Water-level differences between White Bear Lake and piezometer and seepage measurements in deep waters of the lake indicate that groundwater and lake-water exchange is happening in deep waters, predominantly downgradient from the lake and into the lake sediment. Seepage fluxes measured in the nearshore sites of White Bear Lake generally were higher than seepage fluxes measured in the deep-water sites, which indicates that groundwater-inflow rates at most of the nearshore sites are higher than lake-water outflow from the deep-water sites.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Water levels and groundwater and surface-water exchanges in lakes of the northeast Twin Cities Metropolitan Area, Minnesota, 2002 through 2015 (Scientific Investigations Report 2016–5139)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165139A","collaboration":"Prepared in cooperation with the Metropolitan Council and Minnesota Department of Health","usgsCitation":"Jones, P.M., Trost, J.J., Diekoff, A.L., Rosenberry, D.O., White, E.A., Erickson, M.L., Morel, D.L., and Heck, J.M., 2016, Statistical analysis of lake levels and field study of groundwater and surface-water exchanges in the northeast Twin Cities Metropolitan Area, Minnesota, 2002 through 2015: U.S. Geological Survey Scientific Investigations Report 2016–5139–A, 86 p., https://dx.doi.org/10.3133/sir20165139A.","productDescription":"Report: x, 86 p.; 2 Tables; Appendix Tables","numberOfPages":"100","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-076833","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":329656,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5139/a/sir20165139A_appendixtables.xlsx","text":"Appendix Tables 1–1 to 1–3","size":"151 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2016–5139 Appendix Tables 1–1 to 1–3"},{"id":329654,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2016/5139/a/sir20165139A_table7.xlsx","text":"Table 7","size":"39 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-93.394775390625,\n              45.1907479300741\n            ],\n            [\n              -93.4222412109375,\n              45.205263456162385\n            ],\n            [\n              -93.44284057617186,\n              45.215905821884036\n            ],\n            [\n              -93.48129272460936,\n              45.22557897178979\n            ],\n            [\n              -93.50601196289062,\n              45.24105258851866\n            ],\n            [\n              -93.54446411132811,\n              45.25555527789205\n            ],\n            [\n              -93.5540771484375,\n              45.263288531496876\n            ],\n            [\n              -93.55957031249999,\n              45.29614310895674\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, Minnesota Water Science Center<br>U.S. Geological Survey<br>2280 Woodale Drive <br>Mounds View, Minnesota 55112</p><p><a href=\"http://mn.water.usgs.gov/\" data-mce-href=\"http://mn.water.usgs.gov/\">http://mn.water.usgs.gov/</a></p>","tableOfContents":"<ul><li>Acknowledgments<br></li><li>Abstract<br></li><li>Introduction<br></li><li>Methods of Study<br></li><li>Statistical Analysis of Lake Levels<br></li><li>Field Study of Groundwater and Surface-Water Exchanges<br></li><li>Implications<br></li><li>Summary<br></li><li>References Cited<br></li><li>Appendix 1. Additional Information for Lakes in the Northeast Twin Cities&nbsp;Metropolitan Area<br></li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2016-10-19","noUsgsAuthors":false,"publicationDate":"2016-10-19","publicationStatus":"PW","scienceBaseUri":"58088687e4b0f497e78e24c7","contributors":{"authors":[{"text":"Jones, Perry M. 0000-0002-6569-5144 pmjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6569-5144","contributorId":2231,"corporation":false,"usgs":true,"family":"Jones","given":"Perry","email":"pmjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":650889,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Trost, Jared J. 0000-0003-0431-2151 jtrost@usgs.gov","orcid":"https://orcid.org/0000-0003-0431-2151","contributorId":3749,"corporation":false,"usgs":true,"family":"Trost","given":"Jared","email":"jtrost@usgs.gov","middleInitial":"J.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":650890,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Diekoff, Aliesha L. adiekoff@usgs.gov","contributorId":175370,"corporation":false,"usgs":true,"family":"Diekoff","given":"Aliesha L.","email":"adiekoff@usgs.gov","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":650891,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosenberry, Donald O. 0000-0003-0681-5641 rosenber@usgs.gov","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":1312,"corporation":false,"usgs":true,"family":"Rosenberry","given":"Donald","email":"rosenber@usgs.gov","middleInitial":"O.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":650893,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"White, Eric A. 0000-0002-7782-146X eawhite@usgs.gov","orcid":"https://orcid.org/0000-0002-7782-146X","contributorId":1737,"corporation":false,"usgs":false,"family":"White","given":"Eric","email":"eawhite@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":651149,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Erickson, Melinda L. 0000-0002-1117-2866 merickso@usgs.gov","orcid":"https://orcid.org/0000-0002-1117-2866","contributorId":3671,"corporation":false,"usgs":true,"family":"Erickson","given":"Melinda L.","email":"merickso@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":651150,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Morel, Daniel L.","contributorId":175447,"corporation":false,"usgs":false,"family":"Morel","given":"Daniel","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":651151,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Heck, Jessica M.","contributorId":175371,"corporation":false,"usgs":false,"family":"Heck","given":"Jessica","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":651152,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70171470,"text":"sir20165068 - 2016 - Estimating spatially and temporally varying recharge and runoff from precipitation and urban irrigation in the Los Angeles Basin, California","interactions":[],"lastModifiedDate":"2018-07-05T12:42:08","indexId":"sir20165068","displayToPublicDate":"2016-10-17T13:00:00","publicationYear":"2016","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":"2016-5068","title":"Estimating spatially and temporally varying recharge and runoff from precipitation and urban irrigation in the Los Angeles Basin, California","docAbstract":"<p class=\"p1\">A daily precipitation-runoff model, referred to as the Los Angeles Basin watershed model (LABWM), was used to estimate recharge and runoff for a 5,047 square kilometer study area that included the greater Los Angeles area and all surface-water drainages potentially contributing recharge to a 1,450 square kilometer groundwater-study area underlying the greater Los Angeles area, referred to as the Los Angeles groundwater-study area. The recharge estimates for the Los Angeles groundwater-study area included spatially distributed recharge in response to the infiltration of precipitation, runoff, and urban irrigation, as well as mountain-front recharge from surface-water drainages bordering the groundwater-study area. The recharge and runoff estimates incorporated a new method for estimating urban irrigation, consisting of residential and commercial landscape watering, based on land use and the percentage of pervious land area.</p><p class=\"p1\">The LABWM used a 201.17-meter gridded discretization of the study area to represent spatially distributed climate and watershed characteristics affecting the surface and shallow sub-surface hydrology for the Los Angeles groundwater study area. Climate data from a local network of 201 monitoring sites and published maps of 30-year-average monthly precipitation and maximum and minimum air temperature were used to develop the climate inputs for the LABWM. Published maps of land use, land cover, soils, vegetation, and surficial geology were used to represent the physical characteristics of the LABWM area. The LABWM was calibrated to available streamflow records at six streamflow-gaging stations.</p><p class=\"p1\">Model results for a 100-year target-simulation period, from water years 1915 through 2014, were used to quantify and evaluate the spatial and temporal variability of water-budget components, including evapotranspiration (ET), recharge, and runoff. The largest outflow of water from the LABWM was ET; the 100-year average ET rate of 362 millimeters per year (mm/yr) accounted for 66 percent of the combined water inflow of 551 mm/yr, including 488 mm/yr from precipitation and 63 mm/yr from urban irrigation. The simulated ET rate varied from a minimum of 0 mm/yr for impervious areas to high values of more than 1,000 mm/yr for many areas, including the south-facing slopes of the San Gabriel Mountains, stream channels underlain by permeable soils and thick root zones, and pervious locations receiving inflows both from urban irrigation and surface water. Runoff was the next largest outflow, averaging 145 mm/yr for the 100-year period, or 26 percent of the combined precipitation and urban-irrigation inflow. Recharge averaged 45 mm/yr, or about 8 percent of the combined inflow from precipitation and urban irrigation.</p><p class=\"p2\">Simulation results indicated that recharge in response to urban irrigation was an important component of spatially distributed recharge, contributing an average of 56 percent of the total recharge to the eight LABWM subdomains containing the Los Angeles groundwater study area. The 100‑year average recharge rate for the eight subdomains was 41 mm/yr, or 8,473 hectare-meters per year (ha-m/yr), with urban irrigation included in the simulation compared to a recharge rate of 18 mm/yr, or 3,741 ha-m/yr, with urban irrigation excluded. In contrast to recharge, the effect of urban irrigation on runoff was slight; runoff was 72,667 ha-m/yr with urban irrigation included compared to 72,618 ha-m/yr with urban irrigation excluded, an increase of only 48 ha-m/yr (about 0.1 percent).</p><p class=\"p2\">Simulation results also indicated that potential recharge from hilly drainages outside of, but bordering and tributary to, the lower-lying area of the Los Angeles groundwater study area, in this study referred to as mountain-front recharge, could provide an important contribution to the total recharge for the groundwater basins. The time-averaged recharge rate was similar to the combined direct and mountain-front recharge components estimated in a previous study and used as input for a calibrated groundwater model. The annual (water year) recharge estimates simulated in this study, however, indicated much greater year-to-year variability, which was dependent on year-to-year variability in the magnitude and distribution of daily precipitation, compared to the previous estimates.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165068","collaboration":"Prepared in cooperation with the Water Replenishment District of Southern California","usgsCitation":"Hevesi, J.A., and Johnson, T.D., 2016, Estimating spatially and temporally varying recharge and runoff from precipitation and urban irrigation in the Los Angeles Basin, California: U.S. Geological Survey Scientific Investigations Report 2016–5068, 192 p., https://dx.doi.org/10.3133/sir20165068.","productDescription":"x, 192 p.","numberOfPages":"208","onlineOnly":"Y","ipdsId":"IP-053146","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":328887,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5068/coverthb.jpg"},{"id":328888,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5068/sir20165068_.pdf","text":"Report","size":"32.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5068"}],"country":"United States","state":"California","otherGeospatial":"Los Angeles Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.59078979492186,\n              34.29353023058858\n            ],\n            [\n              -117.97531127929688,\n              33.631772324639655\n            ],\n            [\n              -118.15246582031249,\n              33.75288969455201\n            ],\n            [\n              -118.29666137695312,\n              33.70035029271861\n            ],\n            [\n              -118.41339111328125,\n              33.74032885072381\n            ],\n            [\n              -118.43673706054688,\n              33.775722878425604\n            ],\n            [\n              -118.39828491210936,\n              33.82023008524739\n            ],\n            [\n              -118.44223022460938,\n              33.9285481685662\n            ],\n            [\n              -118.50952148437499,\n              34.016241889667015\n            ],\n            [\n              -118.60565185546874,\n              34.03672867489511\n            ],\n            [\n              -118.67706298828125,\n              34.34230217446123\n            ],\n            [\n              -118.40377807617189,\n              34.426168904360736\n            ],\n            [\n              -117.87368774414064,\n              34.38197934098774\n            ],\n            [\n              -117.59078979492186,\n              34.29353023058858\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_ca@usgs.gov\" data-mce-href=\"mailto:dc_ca@usgs.gov\">Director</a>, California Water Science Center<br> U.S. Geological Survey<br> 6000 J Street, Placer Hall<br> Sacramento, CA 95819<br> <a href=\"http://ca.water.usgs.gov\" target=\"blank\" data-mce-href=\"http://ca.water.usgs.gov\">http://ca.water.usgs.gov</a></p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Model Description<br></li><li>Model Development<br></li><li>Model Calibration<br></li><li>Model Application<br></li><li>Model Limitations<br></li><li>Summary and Conclusions<br></li><li>References Cited<br></li><li>Appendixes 1–3<br></li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2016-10-17","noUsgsAuthors":false,"publicationDate":"2016-10-17","publicationStatus":"PW","scienceBaseUri":"5805e349e4b0824b2d1c24b4","contributors":{"authors":[{"text":"Hevesi, Joseph A. 0000-0003-2898-1800 jhevesi@usgs.gov","orcid":"https://orcid.org/0000-0003-2898-1800","contributorId":1507,"corporation":false,"usgs":true,"family":"Hevesi","given":"Joseph","email":"jhevesi@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":631158,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Tyler D. 0000-0002-7334-9188 tyjohns@usgs.gov","orcid":"https://orcid.org/0000-0002-7334-9188","contributorId":1440,"corporation":false,"usgs":true,"family":"Johnson","given":"Tyler","email":"tyjohns@usgs.gov","middleInitial":"D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":631159,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70176306,"text":"sir20165124 - 2016 - FishVis, A regional decision support tool for identifying vulnerabilities of riverine habitat and fishes to climate change in the Great Lakes Region","interactions":[],"lastModifiedDate":"2019-12-30T14:43:18","indexId":"sir20165124","displayToPublicDate":"2016-10-13T00:00:00","publicationYear":"2016","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":"2016-5124","title":"FishVis, A regional decision support tool for identifying vulnerabilities of riverine habitat and fishes to climate change in the Great Lakes Region","docAbstract":"<p>Climate change is expected to alter the distributions and community composition of stream fishes in the Great Lakes region in the 21st century, in part as a result of altered hydrological systems (stream temperature, streamflow, and habitat). Resource managers need information and tools to understand where fish species and stream habitats are expected to change under future conditions. Fish sample collections and environmental variables from multiple sources across the United States Great Lakes Basin were integrated and used to develop empirical models to predict fish species occurrence under present-day climate conditions. Random Forests models were used to predict the probability of occurrence of 13 lotic fish species within each stream reach in the study area. Downscaled climate data from general circulation models were integrated with the fish species occurrence models to project fish species occurrence under future climate conditions. The 13 fish species represented three ecological guilds associated with water temperature (cold, cool, and warm), and the species were distributed in streams across the Great Lakes region. Vulnerability (loss of species) and opportunity (gain of species) scores were calculated for all stream reaches by evaluating changes in fish species occurrence from present-day to future climate conditions. The 13 fish species included 4 cold-water species, 5 cool-water species, and 4 warm-water species. Presently, the 4 cold-water species occupy from 15 percent (55,000 kilometers [km]) to 35 percent (130,000 km) of the total stream length (369,215 km) across the study area; the 5 cool-water species, from 9 percent (33,000 km) to 58 percent (215,000 km); and the 4 warm-water species, from 9 percent (33,000 km) to 38 percent (141,000 km).</p><p>Fish models linked to projections from 13 downscaled climate models projected that in the mid to late 21st century (2046–65 and 2081–2100, respectively) habitats suitable for all 4 cold-water species and 4 of 5 cool-water species under present-day conditions will decline as much as 86 percent and as little as 33 percent, and habitats suitable for all 4 warm-water species will increase as much as 33 percent and as little as 7 percent. This report documents the approach and data used to predict and project fish species occurrence under present-day and future climate conditions for 13 lotic fish species in the United States Great Lakes Basin. A Web-based decision support mapping application termed “FishVis” was developed to provide a means to integrate, visualize, query, and download the results of these projected climate-driven responses and help inform conservation planning efforts within the region.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165124","collaboration":"Prepared in cooperation with Michigan State University, Michigan Department of Natural Resources Institute of Fisheries Research, and the Wisconsin Department of Natural Resources","usgsCitation":"Stewart, J.S., Covert, S.A., Estes, N.J., Westenbroek, S.M., Krueger, Damon, Wieferich, D.J., Slattery, M.T., Lyons, J.D., McKenna, J.E., Jr., Infante, D.M., and Bruce, J.L., 2016, FishVis, A regional decision support tool for identifying vulnerabilities of riverine habitat and fishes to climate change in the Great Lakes Region: U.S. Geological Survey Scientific Investigations Report 2016–5124, 15 p., with appendixes, https://dx.doi.org/10.3133/sir20165124.","productDescription":"Report: viii, 15 p.; Appendixes 1-4","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-071837","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true}],"links":[{"id":438537,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F74T6GGG","text":"USGS data release","linkHelpText":"FishVis, predicted occurrence and vulnerability for 13 fish species for current (1961 - 1990) and future (2046 - 2100) climate conditions in Great Lakes streams."},{"id":329488,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5124/coverthb.jpg"},{"id":329489,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5124/sir20165124.pdf","text":"Report","size":"2.51 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016–5124"},{"id":329490,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5124/sir20165124_appendixes1to4.xlsx","text":"Appendixes 1–4","size":"34.4 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2016–5124 Appendixes"}],"country":"United States","otherGeospatial":"Great Lakes Region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.94433593749999,\n              46.5286346952717\n            ],\n            [\n              -86.66015624999999,\n              46.164614496897094\n            ],\n            [\n              -88.24218749999999,\n              44.715513732021336\n            ],\n            [\n              -87.978515625,\n              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          ],\n            [\n              -87.8466796875,\n              49.26780455063753\n            ],\n            [\n              -89.912109375,\n              48.42920055556841\n            ],\n            [\n              -92.021484375,\n              47.15984001304432\n            ],\n            [\n              -92.94433593749999,\n              46.5286346952717\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, Wisconsin Water Science Center<br>U.S. Geological Survey<br>8505 Research Way &nbsp;<br>Middleton, WI 53562</p><p><a href=\"http://wi.water.usgs.gov\" data-mce-href=\"http://wi.water.usgs.gov\">http://wi.water.usgs.gov</a></p>","tableOfContents":"<ul><li>Acknowledgments<br></li><li>Abstract<br></li><li>Introduction<br></li><li>Methods<br></li><li>Fish Species Occurrence Under Current and Future Climate Conditions<br></li><li>FishVis, A Web-Based Decision Support Mapping Application<br></li><li>Summary<br></li><li>References Cited<br></li><li>Appendixes 1–4<br></li></ul>","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"publishedDate":"2016-10-13","noUsgsAuthors":false,"publicationDate":"2016-10-13","publicationStatus":"PW","scienceBaseUri":"57ffdefee4b0824b2d179cf0","contributors":{"authors":[{"text":"Stewart, Jana S. 0000-0002-8121-1373 jsstewar@usgs.gov","orcid":"https://orcid.org/0000-0002-8121-1373","contributorId":539,"corporation":false,"usgs":true,"family":"Stewart","given":"Jana","email":"jsstewar@usgs.gov","middleInitial":"S.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":648279,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Covert, S. Alex sacovert@usgs.gov","contributorId":4941,"corporation":false,"usgs":true,"family":"Covert","given":"S.","email":"sacovert@usgs.gov","middleInitial":"Alex","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":false,"id":648280,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Estes, Nick J. njestes@usgs.gov","contributorId":5287,"corporation":false,"usgs":true,"family":"Estes","given":"Nick","email":"njestes@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":648281,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Westenbroek, Stephen M. 0000-0002-6284-8643 smwesten@usgs.gov","orcid":"https://orcid.org/0000-0002-6284-8643","contributorId":2210,"corporation":false,"usgs":true,"family":"Westenbroek","given":"Stephen","email":"smwesten@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":648282,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Krueger, Damon","contributorId":174440,"corporation":false,"usgs":false,"family":"Krueger","given":"Damon","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":648284,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wieferich, Daniel J. 0000-0003-1554-7992 dwieferich@usgs.gov","orcid":"https://orcid.org/0000-0003-1554-7992","contributorId":5781,"corporation":false,"usgs":true,"family":"Wieferich","given":"Daniel","email":"dwieferich@usgs.gov","middleInitial":"J.","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":false,"id":648283,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Slattery, Michael T. mslattery@usgs.gov","contributorId":5470,"corporation":false,"usgs":true,"family":"Slattery","given":"Michael","email":"mslattery@usgs.gov","middleInitial":"T.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":648285,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lyons, John D.","contributorId":150808,"corporation":false,"usgs":false,"family":"Lyons","given":"John D.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":648286,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McKenna, James E. Jr. 0000-0002-1428-7597 jemckenna@usgs.gov","orcid":"https://orcid.org/0000-0002-1428-7597","contributorId":627,"corporation":false,"usgs":true,"family":"McKenna","given":"James E.","suffix":"Jr.","email":"jemckenna@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":650851,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Infante, Dana M. 0000-0003-1385-1587","orcid":"https://orcid.org/0000-0003-1385-1587","contributorId":150821,"corporation":false,"usgs":false,"family":"Infante","given":"Dana","email":"","middleInitial":"M.","affiliations":[{"id":18112,"text":"Dept. of Fisheries and Wildlife,","active":true,"usgs":false}],"preferred":false,"id":648288,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bruce, Jennifer L. 0000-0003-4915-5567 jlbruce@usgs.gov","orcid":"https://orcid.org/0000-0003-4915-5567","contributorId":132,"corporation":false,"usgs":true,"family":"Bruce","given":"Jennifer","email":"jlbruce@usgs.gov","middleInitial":"L.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":648289,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70175527,"text":"sir20165119 - 2016 - Flood inundation maps for the Wabash River at New Harmony, Indiana","interactions":[],"lastModifiedDate":"2016-10-11T15:52:58","indexId":"sir20165119","displayToPublicDate":"2016-10-11T15:45:00","publicationYear":"2016","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":"2016-5119","title":"Flood inundation maps for the Wabash River at New Harmony, Indiana","docAbstract":"<p>Digital flood-inundation maps for a 3.68-mile reach of the Wabash River extending 1.77 miles upstream and 1.91 miles downstream from streamgage 03378500 at New Harmony, Indiana, were created by the U.S. Geological Survey (USGS) in cooperation with the Indiana Office of Community and Rural Affairs. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at <a href=\"http://water.usgs.gov/osw/flood_inundation/\" data-mce-href=\"http://water.usgs.gov/osw/flood_inundation/\">http://water.usgs.gov/osw/flood_inundation/</a>, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage at Wabash River at New Harmony, Ind. (station 03378500). Near-real-time stages at this streamgage may be obtained from the USGS National Water Information System at <a href=\"http://waterdata.usgs.gov\" data-mce-href=\"http://waterdata.usgs.gov\">http://waterdata.usgs.gov/</a> or the National Weather Service (NWS) Advanced Hydrologic Prediction Service at <a href=\"http://water.weather.gov/ahps/\" data-mce-href=\"http://water.weather.gov/ahps/\"> http://water.weather.gov/ahps/</a>, which also forecasts flood hydrographs at this site (NHRI3).</p><p>Flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model. The hydraulic model was calibrated by using the most current stage-discharge relations at the Wabash River at New Harmony, Ind., streamgage and the documented high-water marks from the flood of April 27–28, 2013. The calibrated hydraulic model was then used to compute 17 water-surface profiles for flood stages at approximately 1-foot intervals referenced to the streamgage datum and ranging from 10.0 feet, or near bankfull, to 25.4 feet, the highest stage of the stage-discharge rating curve used in the model. The simulated water-surface profiles were then combined with a geographic information system digital elevation model (derived from light detection and ranging (lidar) data having a 0.98-ft vertical accuracy and 4.9-ft horizontal resolution) to delineate the area flooded at each water level.</p><p>The availability of these maps along with Internet information regarding current stage from the USGS streamgage at Wabash River at New Harmony, Ind., and forecasted stream stages from the NWS will provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, as well as for post-flood recovery efforts.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165119","collaboration":"Prepared in cooperation with the Indiana Office of Community and Rural Affairs","usgsCitation":"Fowler, K.K., 2016, Flood-inundation maps for the Wabash River at New Harmony, Indiana: U.S. Geological Survey Scientific Investigations Report 2016–5119, 14 p., https://dx.doi.org/10.3133/sir20165119.","productDescription":"Report: vii, 14 p.; Metadata; Read Me; Spatial Data","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-066894","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":329430,"rank":3,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sir/2016/5119/downloads/metadata_depth_grids.pdf","text":"Metadata Depth Grids","size":"94.3 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5119"},{"id":329431,"rank":4,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sir/2016/5119/downloads/metadata_shapefile.pdf","text":"Metadata Shapefiles","size":"94.9 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5119"},{"id":329432,"rank":5,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sir/2016/5119/downloads/00Readme.pdf","text":"Readme","size":"82.6 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5119"},{"id":329433,"rank":6,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sir/2016/5119/downloads/depth_grids.zip","text":"Depth Grids","size":"144 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2016-5119"},{"id":329434,"rank":7,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sir/2016/5119/downloads/shapefiles.zip","text":"Shape File","size":"2.40 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2016-5119"},{"id":329410,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5119/coverthb.jpg"},{"id":329411,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5119/sir20165119.pdf","text":"Report","size":"14.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5119"}],"country":"United States","state":"Indiana","city":"New Harmony","otherGeospatial":"Wabash River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.03173065185545,\n              38.10700680156137\n            ],\n            [\n              -88.03173065185545,\n              38.171003529816126\n            ],\n            [\n              -87.8580093383789,\n              38.171003529816126\n            ],\n            [\n              -87.8580093383789,\n              38.10700680156137\n            ],\n            [\n              -88.03173065185545,\n              38.10700680156137\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_in@usgs.gov\" data-mce-href=\"mailto:dc_in@usgs.gov\">Director</a>, Indiana-Kentucky Water Science Center <br> U.S. Geological Survey<br> 5957 Lakeside Boulevard<br> Indianapolis, IN 46278<br> <a href=\"http://in.water.usgs.gov/\" data-mce-href=\"http://in.water.usgs.gov/\">http://in.water.usgs.gov/</a></p>","tableOfContents":"<ul><li>Abstract&nbsp;</li><li>Introduction</li><li>Creation of Flood-Inundation Map Library</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"publishedDate":"2016-10-11","noUsgsAuthors":false,"publicationDate":"2016-10-11","publicationStatus":"PW","scienceBaseUri":"57fe6799e4b0824b2d1436eb","contributors":{"authors":[{"text":"Fowler, Kathleen K. 0000-0002-0107-3848 kkfowler@usgs.gov","orcid":"https://orcid.org/0000-0002-0107-3848","contributorId":2439,"corporation":false,"usgs":true,"family":"Fowler","given":"Kathleen","email":"kkfowler@usgs.gov","middleInitial":"K.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":645565,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70176830,"text":"70176830 - 2016 - Potential effects of climate change on streamflow for seven watersheds in eastern and central Montana","interactions":[],"lastModifiedDate":"2017-03-10T11:22:18","indexId":"70176830","displayToPublicDate":"2016-10-11T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3823,"text":"Journal of Hydrology: Regional Studies","active":true,"publicationSubtype":{"id":10}},"title":"Potential effects of climate change on streamflow for seven watersheds in eastern and central Montana","docAbstract":"<h4 id=\"absSec_1\">Study region</h4><p id=\"spar0040\">Eastern and central Montana.</p><h4 id=\"absSec_2\">Study focus</h4><p id=\"spar0045\">Fish in Northern Great Plains streams tolerate extreme conditions including heat, cold, floods, and drought; however changes in streamflow associated with long-term climate change may render some prairie streams uninhabitable for current fish species. To better understand future hydrology of these prairie streams, the Precipitation-Runoff Modeling System model and output from the RegCM3 Regional Climate model were used to simulate streamflow for seven watersheds in eastern and central Montana, for a baseline period (water years 1982–1999) and three future periods: water years 2021–2038 (2030 period), 2046–2063 (2055 period), and 2071–2088 (2080 period).</p><h4 id=\"absSec_3\">New hydrological insights for the region</h4><p id=\"spar0050\">Projected changes in mean annual and mean monthly streamflow vary by the RegCM3 model selected, by watershed, and by future period. Mean annual streamflows for all future periods are projected to increase (11–21%) for two of the four central Montana watersheds: Middle Musselshell River and Cottonwood Creek. Mean annual streamflows for all future periods are projected to decrease (changes of −24 to −75%) for Redwater River watershed in eastern Montana. Mean annual streamflows are projected to increase slightly (2–15%) for the 2030 period and decrease (changes of −16 to −44%) for the 2080 period for the four remaining watersheds.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ejrh.2016.06.001","usgsCitation":"Chase, K.J., Haj, A., Regan, R.S., and Viger, R., 2016, Potential effects of climate change on streamflow for seven watersheds in eastern and central Montana: Journal of Hydrology: Regional Studies, v. 7, p. 69-81, https://doi.org/10.1016/j.ejrh.2016.06.001.","productDescription":"13 p.","startPage":"69","endPage":"81","ipdsId":"IP-062632","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":470510,"rank":4,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ejrh.2016.06.001","text":"Publisher Index Page"},{"id":438538,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7P26W5S","text":"USGS data release","linkHelpText":"Documentation of the Precipitation-Runoff Modeling System and Output from the RegCM3 Regional Climate Model Used to Estimate Potential Effects of Climate Change on Streamflow for Seven Watersheds in Eastern and Central Montana (2013-2014 Analyses)"},{"id":329422,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":337329,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/doi:10.5066/F7P26W5S","text":"Potential effects of climate change on streamflow in eastern and central Montana (2013-2014 analyses) - PRMS model input and output"}],"country":"United 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Center","active":true,"usgs":true}],"preferred":false,"id":650480,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Regan, R. Steven 0000-0003-4803-8596","orcid":"https://orcid.org/0000-0003-4803-8596","contributorId":87237,"corporation":false,"usgs":true,"family":"Regan","given":"R.","email":"","middleInitial":"Steven","affiliations":[],"preferred":false,"id":650481,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Viger, Roland J. 0000-0003-2520-714X rviger@usgs.gov","orcid":"https://orcid.org/0000-0003-2520-714X","contributorId":1204,"corporation":false,"usgs":true,"family":"Viger","given":"Roland J.","email":"rviger@usgs.gov","affiliations":[],"preferred":false,"id":650482,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70176878,"text":"70176878 - 2016 - Mercury and methylmercury in aquatic sediment across western North America","interactions":[],"lastModifiedDate":"2018-08-07T12:23:42","indexId":"70176878","displayToPublicDate":"2016-10-11T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Mercury and methylmercury in aquatic sediment across western North America","docAbstract":"<p><span>Large-scale assessments are valuable in identifying primary factors controlling total mercury (THg) and monomethyl mercury (MeHg) concentrations, and distribution in aquatic ecosystems. Bed sediment THg and MeHg concentrations were compiled for &gt;&nbsp;16,000 samples collected from aquatic habitats throughout the West between 1965 and 2013. The influence of aquatic feature type (canals, estuaries, lakes, and streams), and environmental setting (agriculture, forest, open-water, range, wetland, and urban) on THg and MeHg concentrations was examined. THg concentrations were highest in lake (29.3&nbsp;±&nbsp;6.5&nbsp;μg&nbsp;kg</span><sup>−&nbsp;1</sup><span>) and canal (28.6&nbsp;±&nbsp;6.9&nbsp;μg&nbsp;kg</span><sup>−&nbsp;1</sup><span>) sites, and lowest in stream (20.7&nbsp;±&nbsp;4.6&nbsp;μg&nbsp;kg</span><sup>−&nbsp;1</sup><span>) and estuarine (23.6&nbsp;±&nbsp;5.6&nbsp;μg&nbsp;kg</span><sup>−&nbsp;1</sup><span>) sites, which was partially a result of differences in grain size related to hydrologic gradients. By environmental setting, open-water (36.8&nbsp;±&nbsp;2.2&nbsp;μg&nbsp;kg</span><sup>−&nbsp;1</sup><span>) and forested (32.0&nbsp;±&nbsp;2.7&nbsp;μg&nbsp;kg</span><sup>−&nbsp;1</sup><span>) sites generally had the highest THg concentrations, followed by wetland sites (28.9&nbsp;±&nbsp;1.7&nbsp;μg&nbsp;kg</span><sup>−&nbsp;1</sup><span>), rangeland (25.5&nbsp;±&nbsp;1.5&nbsp;μg&nbsp;kg</span><sup>−&nbsp;1</sup><span>), agriculture (23.4&nbsp;±&nbsp;2.0&nbsp;μg&nbsp;kg</span><sup>−&nbsp;1</sup><span>), and urban (22.7&nbsp;±&nbsp;2.1&nbsp;μg&nbsp;kg</span><sup>−&nbsp;1</sup><span>) sites. MeHg concentrations also were highest in lakes (0.55&nbsp;±&nbsp;0.05&nbsp;μg&nbsp;kg</span><sup>−&nbsp;1</sup><span>) and canals (0.54&nbsp;±&nbsp;0.11&nbsp;μg&nbsp;kg</span><sup>−&nbsp;1</sup><span>), but, in contrast to THg, MeHg concentrations were lowest in open-water sites (0.22&nbsp;±&nbsp;0.03&nbsp;μg&nbsp;kg</span><sup>−&nbsp;1</sup><span>). The median percent MeHg (relative to THg) for the western region was 0.7%, indicating an overall low methylation efficiency; however, a significant subset of data (n&nbsp;&gt;&nbsp;100) had percentages that represent elevated methylation efficiency (&gt;&nbsp;6%). MeHg concentrations were weakly correlated with THg (r</span><sup>2</sup><span>&nbsp;=&nbsp;0.25) across western North America. Overall, these results highlight the large spatial variability in sediment THg and MeHg concentrations throughout western North America and underscore the important roles that landscape and land-use characteristics have on the MeHg cycle.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2016.03.044","usgsCitation":"Fleck, J., Marvin-DiPasquale, M.C., Eagles-Smith, C.A., Ackerman, J., Lutz, M.A., Tate, M., Alpers, C.N., Hall, B.D., Krabbenhoft, D.P., and Eckley, C.S., 2016, Mercury and methylmercury in aquatic sediment across western North America: Science of the Total Environment, v. 568, p. 727-738, https://doi.org/10.1016/j.scitotenv.2016.03.044.","productDescription":"12 p.","startPage":"727","endPage":"738","ipdsId":"IP-070290","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":470509,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2016.03.044","text":"Publisher Index Page"},{"id":329462,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"568","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57fe679ae4b0824b2d1436f5","chorus":{"doi":"10.1016/j.scitotenv.2016.03.044","url":"http://dx.doi.org/10.1016/j.scitotenv.2016.03.044","publisher":"Elsevier BV","authors":"Fleck Jacob A., Marvin-DiPasquale Mark, Eagles-Smith Collin A., Ackerman Joshua T., Lutz Michelle A., Tate Michael, Alpers Charles N., Hall Britt D., Krabbenhoft David P., Eckley Chris S.","journalName":"Science of The Total Environment","publicationDate":"10/2016"},"contributors":{"authors":[{"text":"Fleck, Jacob 0000-0002-3217-3972 jafleck@usgs.gov","orcid":"https://orcid.org/0000-0002-3217-3972","contributorId":168694,"corporation":false,"usgs":true,"family":"Fleck","given":"Jacob","email":"jafleck@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":650582,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marvin-DiPasquale, Mark C. 0000-0002-8186-9167 mmarvin@usgs.gov","orcid":"https://orcid.org/0000-0002-8186-9167","contributorId":1485,"corporation":false,"usgs":true,"family":"Marvin-DiPasquale","given":"Mark","email":"mmarvin@usgs.gov","middleInitial":"C.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":650583,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":650584,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":650585,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lutz, Michelle A. malutz@usgs.gov","contributorId":167259,"corporation":false,"usgs":true,"family":"Lutz","given":"Michelle","email":"malutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":650586,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tate, Michael T. 0000-0003-1525-1219 mttate@usgs.gov","orcid":"https://orcid.org/0000-0003-1525-1219","contributorId":3144,"corporation":false,"usgs":true,"family":"Tate","given":"Michael T.","email":"mttate@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":650587,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Alpers, Charles N. 0000-0001-6945-7365 cnalpers@usgs.gov","orcid":"https://orcid.org/0000-0001-6945-7365","contributorId":411,"corporation":false,"usgs":true,"family":"Alpers","given":"Charles","email":"cnalpers@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":650588,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hall, Britt D.","contributorId":27161,"corporation":false,"usgs":true,"family":"Hall","given":"Britt","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":650589,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":650590,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Eckley, Chris S.","contributorId":167256,"corporation":false,"usgs":false,"family":"Eckley","given":"Chris","email":"","middleInitial":"S.","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":650591,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70175959,"text":"sir20165123 - 2016 - Effects of water-supply reservoirs on streamflow in Massachusetts","interactions":[],"lastModifiedDate":"2021-02-09T18:07:43.492574","indexId":"sir20165123","displayToPublicDate":"2016-10-06T08:45:00","publicationYear":"2016","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":"2016-5123","title":"Effects of water-supply reservoirs on streamflow in Massachusetts","docAbstract":"<p>State and local water-resource managers need modeling tools to help them manage and protect water-supply resources for both human consumption and ecological needs. The U.S. Geological Survey, in cooperation with the Massachusetts Department of Environmental Protection, has developed a decision-support tool to estimate the effects of reservoirs on natural streamflow. The Massachusetts Reservoir Simulation Tool is a model that simulates the daily water balance of a reservoir. The reservoir simulation tool provides estimates of daily outflows from reservoirs and compares the frequency, duration, and magnitude of the volume of outflows from reservoirs with estimates of the unaltered streamflow that would occur if no dam were present. This tool will help environmental managers understand the complex interactions and tradeoffs between water withdrawals, reservoir operational practices, and reservoir outflows needed for aquatic habitats.</p><p>A sensitivity analysis of the daily water balance equation was performed to identify physical and operational features of reservoirs that could have the greatest effect on reservoir outflows. For the purpose of this report, uncontrolled releases of water (spills or spillage) over the reservoir spillway were considered to be a proxy for reservoir outflows directly below the dam. The ratio of average withdrawals to the average inflows had the largest effect on spillage patterns, with the highest withdrawals leading to the lowest spillage. The size of the surface area relative to the drainage area of the reservoir also had an effect on spillage; reservoirs with large surface areas have high evaporation rates during the summer, which can contribute to frequent and long periods without spillage, even in the absence of water withdrawals. Other reservoir characteristics, such as variability of inflows, groundwater interactions, and seasonal demand patterns, had low to moderate effects on the frequency, duration, and magnitude of spillage. The reservoir simulation tool was used to simulate 35 single- and multiple-reservoir systems in Massachusetts over a 44-year period (water years 1961 to 2004) under two water-use scenarios. The no-pumping scenario assumes no water withdrawal pumping, and the pumping scenario incorporates average annual pumping rates from 2000 to 2004. By comparing the results of the two scenarios, the total streamflow alteration can be parsed into the portion of streamflow alteration caused by the presence of a reservoir and the additional streamflow alteration caused by the level of water use of the system.</p><p>For each reservoir system, the following metrics were computed to characterize the frequency, duration, and magnitude of reservoir outflow volumes compared with unaltered streamflow conditions: (1) the median number of days per year in which the reservoir did not spill, (2) the median duration of the longest consecutive period of no-spill days per year, and (3) the lowest annual flow duration exceedance probability at which the outflows are significantly different from estimated unaltered streamflow at the 95-percent confidence level. Most reservoirs in the study do not spill during the summer months even under no-pumping conditions. The median number of days during which there was no spillage was less than 365 for all reservoirs in the study, indicating that, even under reported pumping conditions, the reservoirs refill to full volume and spill at least once during nondrought years, typically in the spring.</p><p>Thirteen multiple-reservoir systems consisting of two or three hydrologically connected reservoirs were included in the study. Because operating rules used to manage multiple-reservoir systems are not available, these systems were simulated under two pumping scenarios, one in which water transfers between reservoirs are minimal and one in which reservoirs continually transferred water to intermediate or terminal reservoirs. These two scenarios provided upper and lower estimates of spillage under average pumping conditions from 2000 to 2004.</p><p>For sites with insufficient data to simulate daily water balances, a proxy method to estimate the three spillage metrics was developed. A series of 4,000 Monte Carlo simulations of the reservoir water balance were run. In each simulation, streamflow, physical reservoir characteristics, and daily climate inputs were randomly varied. Tobit regression equations that quantify the relation between streamflow alteration and physical and operational characteristics of reservoirs were developed from the results of the Monte Carlo simulations and can be used to estimate each of the three spillage metrics using only the withdrawal ratio and the ratio of the surface area to the drainage area, which are available statewide for all reservoirs.</p><p>A graphical user-interface for the Massachusetts Reservoir Simulation Tool was developed in a Microsoft Access environment. The simulation tool contains information for 70 reservoirs in Massachusetts and allows for simulation of additional scenarios than the ones considered in this report, including controlled releases, dam seepage and leakage, demand management plans, and alternative water withdrawal and transfer rules.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165123","collaboration":"Prepared in cooperation with the Massachusetts Department of Environmental Protection","usgsCitation":"Levin, S.B., 2016, Effects of water-supply reservoirs on streamflow in Massachusetts: U.S. Geological Survey Scientific Investigations Report 2016–5123, 35 p., https://dx.doi.org/10.3133/sir20165123.","productDescription":"Report: vii, 35 p.; Software or Model Page","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-067115","costCenters":[{"id":376,"text":"Massachusetts Water Science 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 \"}}]}","contact":"<p><a href=\"mailto:dc_nweng@usgs.gov\" data-mce-href=\"mailto:dc_nweng@usgs.gov\">Director</a>, New England Water Science Center<br> U.S. Geological Survey<br> 10 Bearfoot Road<br> Northborough, MA 01532</p><p>Or visit our Web site at:<br> <a href=\"http://newengland.water.usgs.gov\" data-mce-href=\"http://newengland.water.usgs.gov\">http://newengland.water.usgs.gov/</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Reservoir Simulation Tool</li><li>Spillage Metrics</li><li>Sensitivity of Spillage to Reservoir Characteristics</li><li>Application of the Reservoir Model for Selected Systems</li><li>Estimating Streamflow Alteration at Previously Unstudied Reservoirs</li><li>Limitations</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2016-10-06","noUsgsAuthors":false,"publicationDate":"2016-10-06","publicationStatus":"PW","scienceBaseUri":"57f7c089e4b0bc0bec09c7cf","contributors":{"authors":[{"text":"Levin, Sara B. 0000-0002-2448-3129 slevin@usgs.gov","orcid":"https://orcid.org/0000-0002-2448-3129","contributorId":1870,"corporation":false,"usgs":true,"family":"Levin","given":"Sara","email":"slevin@usgs.gov","middleInitial":"B.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":646705,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70176712,"text":"sir20165138 - 2016 - Delineation of areas contributing groundwater to selected receiving surface water bodies for long-term average hydrologic conditions from 1968 to 1983 for Long Island, New York","interactions":[],"lastModifiedDate":"2016-10-05T16:38:00","indexId":"sir20165138","displayToPublicDate":"2016-10-05T13:15:00","publicationYear":"2016","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":"2016-5138","title":"Delineation of areas contributing groundwater to selected receiving surface water bodies for long-term average hydrologic conditions from 1968 to 1983 for Long Island, New York","docAbstract":"<p>To assist resource managers and planners in developing informed strategies to address nitrogen loading to coastal water bodies of Long Island, New York, the U.S. Geological Survey and the New York State Department of Environmental Conservation initiated a program to delineate a comprehensive dataset of groundwater recharge areas (or areas contributing groundwater), travel times, and outflows to streams and saline embayments on Long Island. A four-layer regional three-dimensional finite-difference groundwater-flow model of hydrologic conditions from 1968 to 1983 was used to provide delineations of 48 groundwater watersheds on Long Island. Sixteen particle starting points were evenly spaced within each of the 4,000- by 4,000-foot model cells that receive water-table recharge and tracked using forward particle-tracking analysis modeling software to outflow zones. For each particle, simulated travel times were grouped by age as follows: less than or equal to 10 years, greater than 10 years and less than or equal to 100 years, greater than 100 years and less than or equal to 1,000 years, and greater than 1,000 years; and simulated ending zones were grouped into 48 receiving water bodies, based on the New York State Department of Environmental Conservation Waterbody Inventory/Priority Waterbodies List. Areal delineation of travel time zones and groundwater contributing areas were generated and a table was prepared presenting the sum of groundwater outflow for each area.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165138","collaboration":"Prepared in cooperation with the  New York State Department of Environmental Conservation","usgsCitation":"Misut, P.E., and Monti, Jack, Jr., 2016, Delineation of areas contributing groundwater to selected receiving surface water bodies for long-term average hydrologic conditions from 1968 to 1983 for Long Island, New York:U.S. Geological Survey Scientific Investigations Report 2016–5138, 22 p., https://dx.doi.org/10.3133/sir20165138.","productDescription":"Report: iv, 22 p.; Figures: 1-5; Data Release","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[],"links":[{"id":329253,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5138/coverthb.jpg"},{"id":329257,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7TB151D ","text":"USGS data release","description":"USGS data release ","linkHelpText":"MODFLOW-2005 and MODPATH6 models "},{"id":329254,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5138/sir20165138.pdf","text":"Report","size":"5.21 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5138"},{"id":329255,"rank":3,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sir/2016/5138/sir20165138_figs1-5.zip","text":"Figures 1-5 ","size":"10.2 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2016-5138","linkHelpText":"- Large-format versions of figures in report"}],"country":"United States","state":"New York","otherGeospatial":"Long Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.25,\n              40.5\n            ],\n            [\n              -73.25,\n              40.9\n            ],\n            [\n              -74.25,\n              40.9\n            ],\n            [\n              -74.25,\n              40.5\n            ],\n            [\n              -73.25,\n              40.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:: dc_ny@usgs.gov\" data-mce-href=\"mailto:: dc_ny@usgs.gov\">Director</a>, New York Water Science Center<br> U.S. Geological Survey<br> 425 Jordan Road<br> Troy, NY 12180<br> <a href=\"http://ny.water.usgs.gov\" data-mce-href=\"http://ny.water.usgs.gov\">http://ny.water.usgs.gov</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods of Analysis</li><li>Delineation of Areas Contributing Groundwater to Selected Receiving Surface Water Bodies</li><li>Limitations of Analysis</li><li>Summary and Conclusions</li><li>References Cited</li><li>Glossary</li></ul>","publishedDate":"2016-10-05","noUsgsAuthors":false,"publicationDate":"2016-10-05","publicationStatus":"PW","scienceBaseUri":"584e41fae4b0260a373816ec","contributors":{"authors":[{"text":"Misut, Paul E. 0000-0002-6502-5255 pemisut@usgs.gov","orcid":"https://orcid.org/0000-0002-6502-5255","contributorId":1073,"corporation":false,"usgs":true,"family":"Misut","given":"Paul","email":"pemisut@usgs.gov","middleInitial":"E.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":650106,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Monti,, Jack Jr. jmonti@usgs.gov","contributorId":145900,"corporation":false,"usgs":true,"family":"Monti,","given":"Jack","suffix":"Jr.","email":"jmonti@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":650107,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70181012,"text":"70181012 - 2016 - Use of mineral/solution equilibrium calculations to assess the potential for carnotite precipitation from groundwater in the Texas Panhandle, USA","interactions":[],"lastModifiedDate":"2018-08-06T13:08:08","indexId":"70181012","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Use of mineral/solution equilibrium calculations to assess the potential for carnotite precipitation from groundwater in the Texas Panhandle, USA","docAbstract":"<p><span>This study investigated the potential for the uranium mineral carnotite (K</span><sub>2</sub><span>(UO</span><sub>2</sub><span>)</span><sub>2</sub><span>(VO</span><sub>4</sub><span>)</span><sub>2</sub><span>·3H</span><sub>2</sub><span>O) to precipitate from evaporating groundwater in the Texas Panhandle region of the United States. The evolution of groundwater chemistry during evaporation was modeled with the USGS geochemical code PHREEQC using water-quality data from 100 groundwater wells downloaded from the USGS National Water Information System (NWIS) database. While most modeled groundwater compositions precipitated calcite upon evaporation, not all groundwater became saturated with respect to carnotite with the system open to CO</span><sub>2</sub><span>. Thus, the formation of calcite is not a necessary condition for carnotite to form. Rather, the determining factor in achieving carnotite saturation was the evolution of groundwater chemistry during evaporation following calcite precipitation. Modeling in this study showed that if the initial major-ion groundwater composition was dominated by calcium-magnesium-sulfate (&gt;70 precent Ca&nbsp;+&nbsp;Mg and &gt;50 percent SO</span><sub>4</sub><span>&nbsp;+&nbsp;Cl) or calcium-magnesium-bicarbonate (&gt;70 percent Ca&nbsp;+&nbsp;Mg and &lt;70 percent HCO</span><sub>3</sub><span>&nbsp;+&nbsp;CO</span><sub>3</sub><span>) and following the precipitation of calcite, the concentration of calcium was greater than the carbonate alkalinity (2</span><i>m</i><span>Ca</span><sup>+2</sup><span>&nbsp;&gt;&nbsp;</span><i>m</i><span>HCO</span><sub>3</sub><sup>−</sup><span>&nbsp;+&nbsp;2</span><i>m</i><span>CO</span><sub>3</sub><sup>−2</sup><span>) carnotite saturation was achieved. If, however, the initial major-ion groundwater composition is sodium-bicarbonate (varying amounts of Na, 40–100 percent Na), calcium-sodium-sulfate, or calcium-magnesium-bicarbonate composition (&gt;70 percent HCO</span><sub>3</sub><span>&nbsp;+&nbsp;CO</span><sub>3</sub><span>) and following the precipitation of calcite, the concentration of calcium was less than the carbonate alkalinity (2</span><i>m</i><span>Ca</span><sup>+2</sup><span>&nbsp;&lt;&nbsp;</span><i>m</i><span>HCO</span><sub>3</sub><sup>-</sup><span>&nbsp;+&nbsp;2</span><i>m</i><span>CO</span><sub>3</sub><sup>−2</sup><span>) carnotite saturation was not achieved. In systems open to CO</span><sub>2,</sub><span> carnotite saturation occurred in most samples in evaporation amounts ranging from 95 percent to 99 percent with the partial pressure of CO</span><sub>2</sub><span> ranging from 10</span><sup>−3.5</sup><span> to 10</span><sup>−2.5</sup><span>&nbsp;atm. Carnotite saturation occurred in a few samples in evaporation amounts ranging from 98 percent to 99 percent with the partial pressure of CO</span><sub>2</sub><span> equal to 10</span><sup>−2.0</sup><span>&nbsp;atm. Carnotite saturation did not occur in any groundwater with the system closed to CO</span><sub>2</sub><span>.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2016.08.004","usgsCitation":"Ranalli, A.J., and Yager, D.B., 2016, Use of mineral/solution equilibrium calculations to assess the potential for carnotite precipitation from groundwater in the Texas Panhandle, USA: Applied Geochemistry, v. 73, p. 118-131, https://doi.org/10.1016/j.apgeochem.2016.08.004.","productDescription":"14 p.","startPage":"118","endPage":"131","ipdsId":"IP-069663","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":335173,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -103.07373046875,\n              33.925129700072\n            ],\n            [\n              -103.07373046875,\n              36.50963615733049\n            ],\n            [\n              -99.97558593749999,\n              36.50963615733049\n            ],\n            [\n              -99.97558593749999,\n              33.925129700072\n            ],\n            [\n              -103.07373046875,\n              33.925129700072\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"73","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"589fff23e4b099f50d3e0450","contributors":{"authors":[{"text":"Ranalli, Anthony J. tranalli@usgs.gov","contributorId":1195,"corporation":false,"usgs":true,"family":"Ranalli","given":"Anthony","email":"tranalli@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":663275,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yager, Douglas B. 0000-0001-5074-4022 dyager@usgs.gov","orcid":"https://orcid.org/0000-0001-5074-4022","contributorId":798,"corporation":false,"usgs":true,"family":"Yager","given":"Douglas","email":"dyager@usgs.gov","middleInitial":"B.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":663274,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70179552,"text":"70179552 - 2016 - Linking field-based metabolomics and chemical analyses to prioritize contaminants of emerging concern in the Great Lakes basin","interactions":[],"lastModifiedDate":"2018-08-07T12:27:16","indexId":"70179552","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Linking field-based metabolomics and chemical analyses to prioritize contaminants of emerging concern in the Great Lakes basin","docAbstract":"<p><span>The ability to focus on the most biologically relevant contaminants affecting aquatic ecosystems can be challenging because toxicity-assessment programs have not kept pace with the growing number of contaminants requiring testing. Because it has proven effective at assessing the biological impacts of potentially toxic contaminants, profiling of endogenous metabolites (metabolomics) may help screen out contaminants with a lower likelihood of eliciting biological impacts, thereby prioritizing the most biologically important contaminants. The authors present results from a study that utilized cage-deployed fathead minnows (</span><i>Pimephales promelas</i><span>) at 18 sites across the Great Lakes basin. They measured water temperature and contaminant concentrations in water samples (132 contaminants targeted, 86 detected) and used </span><sup>1</sup><span>H-nuclear magnetic resonance spectroscopy to measure endogenous metabolites in polar extracts of livers. They used partial least-squares regression to compare relative abundances of endogenous metabolites with contaminant concentrations and temperature. The results indicated that profiles of endogenous polar metabolites covaried with at most 49 contaminants. The authors identified up to 52% of detected contaminants as not significantly covarying with changes in endogenous metabolites, suggesting they likely were not eliciting measurable impacts at these sites. This represents a first step in screening for the biological relevance of detected contaminants by shortening lists of contaminants potentially affecting these sites. Such information may allow risk assessors to prioritize contaminants and focus toxicity testing on the most biologically relevant contaminants. </span><i>Environ Toxicol Chem</i><span> 2016;35:2493–2502.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/etc.3409","usgsCitation":"Davis, J.M., Ekman, D.R., Teng, Q., Ankley, G., Berninger, J., Cavallin, J.E., Jensen, K.M., Kahl, M.D., Schroeder, A.L., Villeneuve, D.L., Jorgenson, Z.G., Lee, K., and Collette, T., 2016, Linking field-based metabolomics and chemical analyses to prioritize contaminants of emerging concern in the Great Lakes basin: Environmental Toxicology and Chemistry, v. 35, no. 10, p. 2493-2502, https://doi.org/10.1002/etc.3409.","productDescription":"10 p.","startPage":"2493","endPage":"2502","ipdsId":"IP-068621","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":332905,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"10","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-30","publicationStatus":"PW","scienceBaseUri":"586e1823e4b0f5ce109fcae1","contributors":{"authors":[{"text":"Davis, John M.","contributorId":177967,"corporation":false,"usgs":false,"family":"Davis","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":657678,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ekman, Drew R.","contributorId":12785,"corporation":false,"usgs":true,"family":"Ekman","given":"Drew","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":657679,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Teng, Quincy","contributorId":177969,"corporation":false,"usgs":false,"family":"Teng","given":"Quincy","email":"","affiliations":[],"preferred":false,"id":657680,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ankley, Gerald T.","contributorId":177970,"corporation":false,"usgs":false,"family":"Ankley","given":"Gerald T.","affiliations":[{"id":13485,"text":"U.S. Environmental Protection Agency, Duluth, MN","active":true,"usgs":false}],"preferred":false,"id":657681,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Berninger, Jason P.","contributorId":173602,"corporation":false,"usgs":false,"family":"Berninger","given":"Jason P.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":657682,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cavallin, Jenna E.","contributorId":146304,"corporation":false,"usgs":false,"family":"Cavallin","given":"Jenna","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":657683,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jensen, Kathleen M.","contributorId":84492,"corporation":false,"usgs":true,"family":"Jensen","given":"Kathleen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":657684,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kahl, Michael D.","contributorId":146306,"corporation":false,"usgs":false,"family":"Kahl","given":"Michael","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":657685,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schroeder, Anthony L.","contributorId":173596,"corporation":false,"usgs":false,"family":"Schroeder","given":"Anthony","email":"","middleInitial":"L.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false},{"id":12503,"text":"University of Minnesota - Saint Paul","active":true,"usgs":false}],"preferred":false,"id":657686,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Villeneuve, Daniel L.","contributorId":141084,"corporation":false,"usgs":false,"family":"Villeneuve","given":"Daniel","email":"","middleInitial":"L.","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":657687,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Jorgenson, Zachary G.","contributorId":69476,"corporation":false,"usgs":false,"family":"Jorgenson","given":"Zachary","email":"","middleInitial":"G.","affiliations":[{"id":13317,"text":"Saint Cloud State University","active":true,"usgs":false}],"preferred":false,"id":657688,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lee, Kathy 0000-0002-7683-1367 klee@usgs.gov","orcid":"https://orcid.org/0000-0002-7683-1367","contributorId":2538,"corporation":false,"usgs":true,"family":"Lee","given":"Kathy","email":"klee@usgs.gov","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"preferred":true,"id":657677,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Collette, Timothy W.","contributorId":15936,"corporation":false,"usgs":true,"family":"Collette","given":"Timothy W.","affiliations":[],"preferred":false,"id":657689,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70178473,"text":"70178473 - 2016 - Climate change and dissolved organic carbon export to the Gulf of Maine","interactions":[],"lastModifiedDate":"2016-11-21T13:35:41","indexId":"70178473","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Climate change and dissolved organic carbon export to the Gulf of Maine","docAbstract":"<p><span>Ongoing climate change is affecting the concentration, export (flux), and timing of dissolved organic carbon (DOC) exported to the Gulf of Maine (GoM) through changes in hydrologic regime. DOC export was calculated for water years 1950 through 2013 for 20 rivers and for water years 1930 through 2013 for 14 rivers draining to the GoM. DOC export was also estimated for the 21st century based on climate and hydrologic modeling in a previously published study. DOC export was calculated by using the regression model LOADEST to fit seasonally adjusted concentration discharge (C-Q) relations. Our results are an analysis of the sensitivity of DOC export to changes in hydrologic conditions over time since land cover and vegetation were held constant over time. Despite large interannual variability, all rivers had increasing DOC export during winter and these trends were significant (</span><i>p</i><span> &lt; 0.05) in 10 out of 20 rivers for 1950 to 2013 and in 13 out of 14 rivers for 1930 to 2013. All rivers also had increasing annual export of DOC although fewer trends were statistically significant than for winter export. Projections for DOC export during the 21st century were variable depending on the climate model and greenhouse gas emission scenario that affected future river discharge through effects on precipitation and evapotranspiration. The most consistent result was a significant increase in DOC export in winter in all model-by-emission scenarios. DOC export was projected to decrease during the summer in all model-by-emission scenarios, with statistically significant decreases in half of the scenarios.</span></p>","language":"English","publisher":"AGU Publications","doi":"10.1002/2015JG003314","usgsCitation":"Huntington, T.G., Balch, W.M., Aiken, G.R., Sheffield, J., Luo, L., Roesler, C.S., and Camill, P., 2016, Climate change and dissolved organic carbon export to the Gulf of Maine: Journal of Geophysical Research: Biogeosciences, v. 121, no. 10, p. 2700-2716, https://doi.org/10.1002/2015JG003314.","productDescription":"17 p.","startPage":"2700","endPage":"2716","ipdsId":"IP-071250","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":331162,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","otherGeospatial":"Gulf of 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,{"id":70178678,"text":"70178678 - 2016 - Watershed geomorphological characteristics","interactions":[],"lastModifiedDate":"2017-03-16T14:39:44","indexId":"70178678","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Watershed geomorphological characteristics","docAbstract":"This chapter describes commonly used geomorphological characteristics that are useful for analyzing watershed-scale hydrology and sediment dynamics. It includes calculations and measurements for stream network features and areal basin characteristics that cover a range of spatial and temporal scales and dimensions of watersheds. Construction and application of longitudinal profiles are described in terms of understanding the three-dimensional development of stream networks. A brief discussion of outstanding problems and directions for future work, particularly as they relate to water-resources management, is provided. Notations with preferred units are given.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Handbook of applied hydrology","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"McGraw Hill","isbn":"9780071835091","usgsCitation":"Fitzpatrick, F., 2016, Watershed geomorphological characteristics, chap. <i>of</i> Handbook of applied hydrology, p. 44-1-44-12.","productDescription":"12 p.","startPage":"44-1","endPage":"44-12","ipdsId":"IP-063389","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":337765,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58cba41ae4b0849ce97dc742","contributors":{"authors":[{"text":"Fitzpatrick, Faith A. 0000-0002-9748-7075 fafitzpa@usgs.gov","orcid":"https://orcid.org/0000-0002-9748-7075","contributorId":173463,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith A.","email":"fafitzpa@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":654787,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70188153,"text":"70188153 - 2016 - Lateral and subsurface flows impact arctic coastal plain lake water budgets","interactions":[],"lastModifiedDate":"2018-10-25T16:43:24","indexId":"70188153","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Lateral and subsurface flows impact arctic coastal plain lake water budgets","docAbstract":"<p><span>Arctic thaw lakes are an important source of water for aquatic ecosystems, wildlife, and humans. Many recent studies have observed changes in Arctic surface waters related to climate warming and permafrost thaw; however, explaining the trends and predicting future responses to warming is difficult without a stronger fundamental understanding of Arctic lake water budgets. By measuring and simulating surface and subsurface hydrologic fluxes, this work quantified the water budgets of three lakes with varying levels of seasonal drainage, and tested the hypothesis that lateral and subsurface flows are a major component of the post-snowmelt water budgets. A water budget focused only on post-snowmelt surface water fluxes (stream discharge, precipitation, and evaporation) could not close the budget for two of three lakes, even when uncertainty in input parameters was rigorously considered using a Monte Carlo approach. The water budgets indicated large, positive residuals, consistent with up to 70% of mid-summer inflows entering lakes from lateral fluxes. Lateral inflows and outflows were simulated based on three processes; supra-permafrost subsurface inflows from basin-edge polygonal ground, and exchange between seasonally drained lakes and their drained margins through runoff and evapotranspiration. Measurements and simulations indicate that rapid subsurface flow through highly conductive flowpaths in the polygonal ground can explain the majority of the inflow. Drained lakes were hydrologically connected to marshy areas on the lake margins, receiving water from runoff following precipitation and losing up to 38% of lake efflux to drained margin evapotranspiration. Lateral fluxes can be a major part of Arctic thaw lake water budgets and a major control on summertime lake water levels. Incorporating these dynamics into models will improve our ability to predict lake volume changes, solute fluxes, and habitat availability in the changing Arctic.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.10917","usgsCitation":"Koch, J.C., 2016, Lateral and subsurface flows impact arctic coastal plain lake water budgets: Hydrological Processes, v. 30, no. 21, p. 3918-3931, https://doi.org/10.1002/hyp.10917.","productDescription":"14 p.","startPage":"3918","endPage":"3931","ipdsId":"IP-064008","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":342033,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"30","issue":"21","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-21","publicationStatus":"PW","scienceBaseUri":"59327926e4b0e9bd0eab5513","contributors":{"authors":[{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":696929,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70179746,"text":"70179746 - 2016 - Flow reconstructions in the Upper Missouri River Basin using riparian tree rings","interactions":[],"lastModifiedDate":"2017-01-17T10:51:33","indexId":"70179746","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","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":"Flow reconstructions in the Upper Missouri River Basin using riparian tree rings","docAbstract":"<p><span>River flow reconstructions are typically developed using tree rings from montane conifers that cannot reflect flow regulation or hydrologic inputs from the lower portions of a watershed. Incorporating lowland riparian trees may improve the accuracy of flow reconstructions when these trees are physically linked to the alluvial water table. We used riparian plains cottonwoods (</span><i>Populus deltoides</i><span> ssp. </span><i>monilifera</i><span>) to reconstruct discharge for three neighboring rivers in the Upper Missouri River Basin: the Yellowstone (</span><i>n</i><span> = 389 tree cores), Powder (</span><i>n</i><span> = 408), and Little Missouri Rivers (</span><i>n</i><span> = 643). We used the Regional Curve Standardization approach to reconstruct log-transformed discharge over the 4 months in early summer that most highly correlated to tree ring growth. The reconstructions explained at least 57% of the variance in historical discharge and extended back to 1742, 1729, and 1643. These are the first flow reconstructions for the Lower Yellowstone and Powder Rivers, and they are the furthest downstream among Rocky Mountain rivers in the Missouri River Basin. Although mostly free-flowing, the Yellowstone and Powder Rivers experienced a shift from early-summer to late-summer flows within the last century. This shift is concurrent with increasing irrigation and reservoir storage, and it corresponds to decreased cottonwood growth. Low-frequency flow patterns revealed wet conditions from 1870 to 1980, a period that includes the majority of the historical record. The 1816–1823 and 1861–1865 droughts were more severe than any recorded, revealing that drought risks are underestimated when using the instrumental record alone.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016WR018845","usgsCitation":"Schook, D.M., Friedman, J.M., and Rathburn, S.L., 2016, Flow reconstructions in the Upper Missouri River Basin using riparian tree rings: Water Resources Research, v. 52, no. 10, p. 8159-8173, https://doi.org/10.1002/2016WR018845.","productDescription":"15 p.","startPage":"8159","endPage":"8173","ipdsId":"IP-073511","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":462071,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016wr018845","text":"Publisher Index Page"},{"id":333238,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"10","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-21","publicationStatus":"PW","scienceBaseUri":"587f3c31e4b0d96de2564549","contributors":{"authors":[{"text":"Schook, Derek M.","contributorId":178325,"corporation":false,"usgs":false,"family":"Schook","given":"Derek","email":"","middleInitial":"M.","affiliations":[{"id":13539,"text":"Department of Geosciences, Colorado State University, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":658512,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Friedman, Jonathan M. 0000-0002-1329-0663 friedmanj@usgs.gov","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":2473,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","email":"friedmanj@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":658511,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rathburn, Sara L.","contributorId":140606,"corporation":false,"usgs":false,"family":"Rathburn","given":"Sara","email":"","middleInitial":"L.","affiliations":[{"id":13539,"text":"Department of Geosciences, Colorado State University, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":658513,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70182256,"text":"70182256 - 2016 - The effect of restored and native oxbows on hydraulic loads of nutrients and stream water quality","interactions":[],"lastModifiedDate":"2017-02-23T13:03:09","indexId":"70182256","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"The effect of restored and native oxbows on hydraulic loads of nutrients and stream water quality","docAbstract":"The use of oxbow wetlands has been identified as a potential strategy to reduce nutrient transport from agricultural drainage tiles to streams in Iowa. In 2013 and 2014, a study was conducted in north-central Iowa in a native oxbow in the Lyons Creek watershed and two restored oxbow wetlands in the Prairie Creek watershed (Smeltzer west and Smeltzer east) to assess their effectiveness at reducing nitrogen and phosphorus loads. The tile line inlets carrying agricultural runoff to the oxbows, the outfall from the oxbows, and the surface waters in the streams receiving the outfall water were monitored for discharge and nutrients from February 2013 to September 2015. Smeltzer west and east also had four monitoring wells each, two in the upland and two between the oxbow and Prairie Creek to monitor surface water-groundwater interaction. The Smeltzer west and east oxbow sites also were instrumented to continuously measure the nitrate concentration. Rainfall was measured at one Lyons Creek and one Smeltzer site. Daily mean nitrate-N concentrations in Lyons Creek in 2013 ranged from 11.8 mg/L to 40.9 mg/L, the median daily mean nitrate-N concentration was 33.0 mg/L. Daily mean nitrate-N concentrations in Prairie Creek in 2013 ranged from 0.07 mg/L in August to 32.2 mg/L in June. In 2014, daily mean nitrate-N concentrations in Prairie Creek ranged from 0.17 mg/L in April to 26.7 mg/L in July; the daily mean nitrate-N concentration for the sampled period was 9.78 mg/L.  Nutrient load reduction occurred in oxbow wetlands in Lyons and Prairie Creek watersheds in north-central Iowa but efficiency of reduction was variable. Little nutrient reduction occurred in the native Lyons Creek oxbow during 2013. Concentrations of all nutrient constituents were not significantly (P>0.05, Wilcoxon rank sum) different in water discharging from the tile line than in water leaving the Lyons Creek oxbow. A combination of physical features and flow conditions suggest that the residence time of water in the oxbow may not have been sufficient to allow for removal of substantial amounts of nutrients. Approximately 54 percent less nitrate-N was measured leaving the Smeltzer west oxbow than was measured entering from a small 6-inch field tile. The efficiency of nitrate-N removal in the oxbow was not able to be definitively quantified as other hydrologic factors such as overland and groundwater flow into and through the oxbow were not addressed and may provide alternative routes for nutrient transport. Damage to the Smeltzer east oxbow outfall weir prevented analysis of its nutrient load reduction capability. The study provides important information to managers and land owners looking for strategies to reduce nutrient transport from fields. Additional research is needed to understand how increased discharge from larger field tiles and drainage district mains may influence the efficiency of nutrient reduction in relation to the size, type, and landscape setting of a wetland.","language":"English","publisher":"U.S. Environmental Protection Agency","collaboration":"U. S. Environmental Protection Agency ORD, NRMRL, Cincinnati, OH","usgsCitation":"Kalkhoff, S.J., Hubbard, L.E., and P.Schubauer-Berigan, J., 2016, The effect of restored and native oxbows on hydraulic loads of nutrients and stream water quality, xii., 83 p. .","productDescription":"xii., 83 p. ","ipdsId":"IP-077913","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":336108,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":335923,"type":{"id":15,"text":"Index Page"},"url":"https://nepis.epa.gov/Exe/ZyPDF.cgi?Dockey=P100PP42.txt"}],"country":"United States","state":"Iowa ","otherGeospatial":"Lyons Creek, Prairie Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.82083892822266,\n              42.47893393507777\n            ],\n            [\n              -93.81895065307617,\n              42.47830090850463\n            ],\n            [\n              -93.75577926635742,\n              42.47627518043613\n            ],\n            [\n              -93.7114906311035,\n              42.49399807755323\n            ],\n            [\n              -93.71011734008789,\n              42.52196471770537\n            ],\n            [\n              -93.74221801757812,\n              42.522217752342236\n            ],\n            [\n              -93.78650665283203,\n              42.52348291015486\n            ],\n            [\n              -93.82650375366211,\n              42.51791602414797\n            ],\n            [\n              -93.82083892822266,\n              42.47893393507777\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.18819427490234,\n              42.43980086209991\n            ],\n            [\n              -94.21548843383789,\n              42.4417010906216\n            ],\n            [\n              -94.22029495239258,\n              42.38441557693553\n            ],\n            [\n              -94.19540405273438,\n              42.38504955243599\n            ],\n            [\n              -94.14527893066406,\n              42.38555672822687\n            ],\n            [\n              -94.14459228515624,\n              42.39988275145449\n            ],\n            [\n              -94.15197372436523,\n              42.43904075455518\n            ],\n            [\n              -94.18819427490234,\n              42.43980086209991\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b002c6e4b01ccd54fb27cd","contributors":{"authors":[{"text":"Kalkhoff, Stephen J. 0000-0003-4110-1716 sjkalkho@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-1716","contributorId":1731,"corporation":false,"usgs":true,"family":"Kalkhoff","given":"Stephen","email":"sjkalkho@usgs.gov","middleInitial":"J.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":670254,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hubbard, Laura E. 0000-0003-3813-1500 lhubbard@usgs.gov","orcid":"https://orcid.org/0000-0003-3813-1500","contributorId":4221,"corporation":false,"usgs":true,"family":"Hubbard","given":"Laura","email":"lhubbard@usgs.gov","middleInitial":"E.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":670255,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"P.Schubauer-Berigan, Joseph","contributorId":182023,"corporation":false,"usgs":false,"family":"P.Schubauer-Berigan","given":"Joseph","email":"","affiliations":[],"preferred":false,"id":670256,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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