Hydrologic and hydraulic analyses were done for selected reaches of Clear Fork Mohican River and Cedar Fork in Richland County, Ohio. To update and expand a portion of the Federal Emergency Management Agency detailed Flood Insurance Study, the U.S. Geological Survey (USGS) and the Muskingum Watershed Conservancy District initiated a cooperative study. The study comprised an 18.6-mile reach of the Clear Fork Mohican River and a 5.9-mile reach of Cedar Fork.
Historical streamflow data from the streamgage Clear Fork Mohican River at Bellville, Ohio (USGS station number 03131982) and regional regression equations were used to estimate instantaneous peak streamflows for floods with 10-, 4-, 2-, 1-, and 0.2-percent and 1-percent plus annual exceedance probabilities. The 1-percent plus flood elevation is defined by the Federal Emergency Management Agency as a flood elevation derived by using streamflows that include the average predictive error for the regression equation streamflow calculation for the Flood Risk project. This error is then added to the 1-percent annual exceedance probability flood streamflow to calculate the new 1-percent plus streamflow.
The annual exceedance probability streamflows were then used in a Hydrologic Engineering Center-River Analysis System step-backwater model to determine water-surface elevation profiles and flood-inundation boundaries for the 10-, 4-, 2-, 1-, and 0.2-percent and 1-percent plus annual exceedance probability floods and a regulatory floodway along a selected reach of each stream. The Clear Fork Mohican River model was calibrated to 16 flood events by using the current stage-streamflow relation at the streamgage Clear Fork Mohican River at Bellville, Ohio (USGS station number 03131982) and a submersible pressure transducer. Flood-inundation boundaries for the 1- and 0.2-percent annual exceedance probability floods and a regulatory floodway were mapped for each stream.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195011","collaboration":"Prepared in cooperation with the Muskingum Watershed Conservancy District and Richland County","usgsCitation":"Ostheimer, C.J., 2019, Hydrologic and hydraulic analyses of selected streams in Richland County, Ohio: U.S. Geological Survey Scientific Investigations Report 2019–5011, 18 p., https://doi.org/10.3133/sir20195011.","productDescription":"Report: iv, 18 p., Data Release","numberOfPages":"26","ipdsId":"IP-100978","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":364655,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9NMXM5B","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Geospatial datasets and hydraulic models of the Clear Fork Mohican River and Cedar Fork in Richland County, Ohio"},{"id":364654,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5011/sir20195011.pdf","text":"Report","size":"2.67 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019–5011"},{"id":364653,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5011/coverthb.jpg"}],"country":"United States","state":"Ohio","county":"Richland county","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.66525268554688,\n 40.54850462620186\n ],\n [\n -82.33943939208984,\n 40.54850462620186\n ],\n [\n -82.33943939208984,\n 40.77352187640244\n ],\n [\n -82.66525268554688,\n 40.77352187640244\n ],\n [\n -82.66525268554688,\n 40.54850462620186\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Ohio-Kentucky-Indiana Water Science Center
U.S. Geological Survey
6460 Busch Boulevard Suite 100
Columbus, OH 43229–1737
Information concerning the availability, use, and quality of water in Tensas Parish, Louisiana, is critical for proper water-supply management. The purpose of this fact sheet is to present information that can be used by water managers, parish residents, and others for stewardship of this vital resource. In 2014, 38.01 million gallons per day (Mgal/d) of water were withdrawn in Tensas Parish, including about 33.02 Mgal/d from groundwater sources and about 4.99 Mgal/d from surface-water sources. Withdrawals for agricultural use, composed of general irrigation, rice irrigation, aquaculture, and livestock, accounted for about 97 percent (36.88 Mgal/d) of the total water withdrawn. Other use categories included public supply and rural domestic. Water-use data collected at 5-year intervals from 1960 to 2010 and again in 2014 indicated that water withdrawals peaked in 2014. The large increase in 1985 relative to 1980 and 1990 for groundwater usage is likely an outlier that is attributable to a change in methodology for estimating rice irrigation. A transition in available farm-by-farm data from 1980 to 1985 to 1990 resulted in three different methods being used for estimating groundwater withdrawals for rice irrigation.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193004","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"White, V.E., 2019, Water resources of Tensas Parish, Louisiana: U.S. Geological Survey Fact Sheet 2019–3004, 6 p., https://doi.org/10.3133/fs20193004.","productDescription":"Report: 6 p.; Data Release","numberOfPages":"6","onlineOnly":"N","ipdsId":"IP-081697","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":364625,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F78051VM","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Water withdrawals by source and category in Louisiana Parishes, 2014–2015"},{"id":364623,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3004/coverthb.jpg"},{"id":364624,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3004/fs20193004.pdf","text":"Report","size":"777 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019–3004"}],"country":"United States","state":"Louisiana","county":"Tensas 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Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
3535 S. Sherwood Forest Blvd., Suite 120
Baton Rouge, LA 70816
Tourmaline is a common boron-bearing mineral in hydrothermal system and has been widely used as a mineral probe to reconstruct geological processes because of its broad range in composition and resistance to metasomatic alteration. The origin of Kiruna-type iron oxide-apatite (IOA) deposits, commonly linked to andesitic subvolcanic or volcanic rocks, is highly controversial. Constraints on the evolution of these mineralizing systems are needed to advance understanding of the ore-forming process. In this study, we apply in situ elemental and combined B-Sr isotopic analyses of tourmaline to elucidate the nature and evolution of the subsurface hydrothermal system associated with IOA mineralization in the giant Taocun deposit, eastern China.
Taocun is hosted at the top of a diorite intrusion and exhibits three stages of hydrothermal alteration that contain tourmaline: pre-ore Na alteration (Tur I), syn-ore magnetite formation and associated Ca-Fe alteration (Tur II), and post-ore Ca-Mg alteration with sulfide veins (Tur III). Compositional data for each stage of tourmaline plot along the “oxy-dravite”–povondraite join, which is indicative of precipitation from relatively oxidizing fluids. Ranges of Sr-isotopic compositions in Tur I (0.7065–0.7078) and Tur II (0.7068–0.7076) are identical to those of the igneous host rocks, indicating precipitation from magmatic-hydrothermal fluids. The range of B-isotopic compositions in Tur I (δ11B values of −6.3‰ to −1.2‰) is also consistent with a magmatic source. Higher δ11B values (−2.4‰ to 5.4‰) obtained from Tur II are mainly ascribed to Rayleigh fractionation in the magmatic-hydrothermal system as tourmaline precipitated. Post-ore Tur III has a wide range of mostly lower B-isotopic compositions (−8.5‰ to 0.8‰) that record another pulse of magmatic fluid input. This interpretation is supported by the enrichment of Na, Li, Be, W, Sn, V, and Ti in Tur III, relative to Tur I and II. However, the higher Sr-isotope composition (0.7076–0.7086) of Tur III and available O-isotope composition (−7‰ to 3.5‰) of fluids of this stage record the infiltration of meteoric ground water from adjacent sedimentary country rocks. The results suggest that the Taocun IOA deposit formed in a magmatic-hydrothermal system characterized by two (or more) pulses of magmatic fluid discharge from subvolcanic diorite intrusions, followed by the influx of external ground water as the system waned. This study highlights the utility of tourmaline as a robust geochemical and isotopic monitor of ore-forming processes in such systems.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2019.06.006","usgsCitation":"Su, Z., Zhao, X., Zeng, L., Zhao, K., and Hofstra, A.H., 2019, Tourmaline boron and strontium isotope systematics reveal magmatic fluid pulses and external fluid influx in a giant iron oxide-apatite (IOA) deposit: Geochimica et Cosmochimica Acta, v. 259, p. 233-252, https://doi.org/10.1016/j.gca.2019.06.006.","productDescription":"20 p.","startPage":"233","endPage":"252","ipdsId":"IP-106893","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":388731,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","otherGeospatial":"Ningwu IOA district","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 117.48779296875,\n 30.097613277217132\n ],\n [\n 118.58642578124999,\n 30.097613277217132\n ],\n [\n 118.58642578124999,\n 31.704803074739214\n ],\n [\n 117.48779296875,\n 31.704803074739214\n ],\n [\n 117.48779296875,\n 30.097613277217132\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"259","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Su, Zhi-kun","contributorId":265158,"corporation":false,"usgs":false,"family":"Su","given":"Zhi-kun","email":"","affiliations":[{"id":54615,"text":"China University of Geosciences-Wuhan","active":true,"usgs":false}],"preferred":false,"id":822339,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhao, Xinfu","contributorId":265159,"corporation":false,"usgs":false,"family":"Zhao","given":"Xinfu","email":"","affiliations":[{"id":54615,"text":"China University of Geosciences-Wuhan","active":true,"usgs":false}],"preferred":false,"id":822340,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zeng, Li-ping","contributorId":265160,"corporation":false,"usgs":false,"family":"Zeng","given":"Li-ping","email":"","affiliations":[{"id":54615,"text":"China University of Geosciences-Wuhan","active":true,"usgs":false}],"preferred":false,"id":822341,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhao, Kui-dong","contributorId":265161,"corporation":false,"usgs":false,"family":"Zhao","given":"Kui-dong","email":"","affiliations":[{"id":54615,"text":"China University of Geosciences-Wuhan","active":true,"usgs":false}],"preferred":false,"id":822342,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hofstra, Albert H. 0000-0002-2450-1593 ahofstra@usgs.gov","orcid":"https://orcid.org/0000-0002-2450-1593","contributorId":1302,"corporation":false,"usgs":true,"family":"Hofstra","given":"Albert","email":"ahofstra@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":822343,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70203186,"text":"sir20195027 - 2019 - Assessment of the presence of sewage in the Mill River under low-flow conditions, Springfield, Massachusetts, 2010–11","interactions":[],"lastModifiedDate":"2019-06-13T10:54:23","indexId":"sir20195027","displayToPublicDate":"2019-06-13T09:15:00","publicationYear":"2019","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":"2019-5027","displayTitle":"Assessment of the Presence of Sewage in the Mill River Under Low-Flow Conditions, Springfield, Massachusetts, 2010–11","title":"Assessment of the presence of sewage in the Mill River under low-flow conditions, Springfield, Massachusetts, 2010–11","docAbstract":"The U.S. Geological Survey, in cooperation with the Pioneer Valley Planning Commission, the U.S. Environmental Protection Agency, and the Massachusetts Department of Environmental Protection Senator William X. Wall Experiment Station, assessed the presence of 14 commonly used human-health pharmaceutical compounds, fecal indicator bacteria, and other man-made compounds indicative of the presence of human sewage in the lower reach of the Mill River near its confluence with the Connecticut River in Springfield, Massachusetts. The study was part of the Tri-State Connecticut River Targeted Watershed Initiative and involved the collection and analysis of raw river water at three sites along the reach, extending from Watershops Pond to the mouth, over the course of a low-flow period, July through November 2010. Previous studies in the region indicated that nonpoint or undocumented sources of wastewater contributed a variety of organic contaminants and potentially harmful bacteria to rivers under both high- and low-flow conditions. Additional samples, including a raw sewage sample collected near a Mill River combined sewer overflow during a non-overflow period, were collected in March 2011.
The study was designed to determine if city sewage or other domestic sources of wastewater were entering the river within this reach during low-flow conditions. No definitive evidence of sewage was measured in Mill River water samples collected during the study period. Fecal indicator bacteria, including Escherichia coli (E. coli) and enterococci bacteria, were detected in all Mill River water samples. In the DNA analysis of enterococci cultures from the Mill River, samples generally tested negative for the Enterococcus faecium (esp) human-specific genetic marker, whereas the raw sewage sample tested positive. Samples also generally tested negative in the human-specific rDNA marker assay for the anaerobic bacterium Bacteroidetes. Samples tested negative in 2010 for two Bacteroidetes human-specific genetic markers, HF134 and HF183, except samples from near the mouth of the Mill River, which tested positive. Samples collected in March 2011 from all three measurement sites tested positive for both markers. The results of bacterial analyses suggest that the fecal bacteria in summer and fall months are most likely of animal origin rather than human. Despite the urban setting, long history of development, and many potential sources of man-made contamination in the Mill River, none of the 12 water samples collected during the study contained targeted pharmaceutical compounds at concentrations greater than the analytical reporting levels. Other man-made compounds, like fluorescent whitening agents, were measured and detected in samples at low concentrations 4 out of 5 times the samples were collected; however, the other lines of evidence do not support a sewer source but rather other nonpoint sources upstream in the watershed.
The results of this study do not support the hypothesis that aging sewer lines or combined sewer overflow infrastructure leak into the Mill River as tested during the low-flow conditions during sampling for this study. None of the results from Mill River samples offer conclusive evidence of the presence of sewage. Some low-level detections of pharmaceutical compounds, other man-made chemicals, and bacteria suggest an upstream, nonpoint source.
A single raw sewage sample was collected, diluted, and examined for comparison with Mill River water samples and to ensure that the analytical methods could detect typical wastewater constituents. High levels of bacteria were measured, and low levels of three anthropogenic pharmaceutical compounds were detected, confirming the effectiveness of the sub-part-per-million method. The concentration of fluorescent whitening agent-1 in the sewage sample was 90,000 times greater than the median concentration in the Mill River samples.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195027","collaboration":"Prepared in cooperation with the Pioneer Valley Planning Commission, the U.S. Environmental Protection Agency, and the Massachusetts Department of Environmental Protection","usgsCitation":"Massey, A.J., Waldron, M.C., Tang, R.J., and Huntington, T.G., 2019, Assessment of the presence of sewage in the Mill River under low-flow conditions, Springfield, Massachusetts, 2010–11: U.S. Geological Survey Scientific Investigations Report 2019–5027, 18 p., https://doi.org/10.3133/sir20195027.","productDescription":"viii, 18 p.","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-039347","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":364471,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5027/coverthb.jpg"},{"id":364472,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5027/sir20195027.pdf","text":"Report","size":"1.78 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5027"}],"country":"United States","state":"Massachusetts","county":"Hampden County","city":"Springfield","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-72.2208,42.2452],[-72.2417,42.2241],[-72.2607,42.2054],[-72.2649,42.1963],[-72.263,42.1931],[-72.2641,42.1836],[-72.2498,42.1787],[-72.2008,42.1612],[-72.1988,42.1535],[-72.1345,42.162],[-72.1358,42.0307],[-72.1364,42.0308],[-72.2322,42.0312],[-72.2934,42.0317],[-72.3082,42.0316],[-72.349,42.0325],[-72.4476,42.0343],[-72.4522,42.0344],[-72.4588,42.0343],[-72.4744,42.0344],[-72.5094,42.0349],[-72.5263,42.035],[-72.5732,42.0301],[-72.5848,42.0248],[-72.604,42.0252],[-72.6071,42.0253],[-72.6095,42.0307],[-72.6399,42.0316],[-72.6802,42.0351],[-72.7077,42.0371],[-72.7574,42.0362],[-72.7565,42.0314],[-72.7572,42.0287],[-72.7596,42.026],[-72.7634,42.0234],[-72.7686,42.0043],[-72.8182,41.9979],[-72.8168,42.0164],[-72.8155,42.0377],[-72.899,42.0379],[-72.9398,42.0379],[-72.9688,42.0385],[-73.0087,42.0395],[-73.0405,42.0403],[-73.0482,42.0405],[-73.0517,42.0405],[-73.0568,42.0479],[-73.0556,42.0534],[-73.0551,42.0579],[-73.0576,42.0593],[-73.0595,42.0602],[-73.0608,42.0629],[-73.0597,42.0674],[-73.0622,42.0706],[-73.0733,42.0945],[-73.0747,42.1022],[-73.076,42.1058],[-73.0748,42.109],[-73.0724,42.1118],[-73.0627,42.1178],[-73.0634,42.1219],[-73.0653,42.1264],[-73.0673,42.1305],[-73.068,42.1354],[-73.0687,42.1386],[-73.0694,42.1427],[-73.0701,42.145],[-73.0708,42.1481],[-73.0348,42.1436],[-73.0049,42.2498],[-73.0018,42.2512],[-73.0006,42.3121],[-72.9535,42.344],[-72.8957,42.3405],[-72.8943,42.3314],[-72.885,42.3324],[-72.8806,42.2652],[-72.9123,42.239],[-72.8741,42.2172],[-72.8722,42.2163],[-72.8644,42.2318],[-72.8578,42.2405],[-72.8133,42.2446],[-72.8118,42.2351],[-72.7933,42.2366],[-72.7917,42.2171],[-72.7818,42.2167],[-72.7814,42.1995],[-72.7665,42.1969],[-72.687,42.1831],[-72.6865,42.1908],[-72.6906,42.2131],[-72.6696,42.2164],[-72.6679,42.2255],[-72.6562,42.2275],[-72.634,42.274],[-72.6131,42.286],[-72.6057,42.2847],[-72.6013,42.2811],[-72.5992,42.2679],[-72.5998,42.2652],[-72.6078,42.2601],[-72.6181,42.2482],[-72.6234,42.2337],[-72.6203,42.2296],[-72.6128,42.2251],[-72.6077,42.2161],[-72.5958,42.2116],[-72.5674,42.2137],[-72.5426,42.2166],[-72.5074,42.2205],[-72.4226,42.2298],[-72.4035,42.2317],[-72.3954,42.1859],[-72.3608,42.1902],[-72.3615,42.1939],[-72.3634,42.1966],[-72.3647,42.2029],[-72.3629,42.2061],[-72.3493,42.2099],[-72.3456,42.2108],[-72.3463,42.2153],[-72.342,42.219],[-72.3364,42.219],[-72.2814,42.2348],[-72.2777,42.2326],[-72.2734,42.2362],[-72.2703,42.2367],[-72.2677,42.229],[-72.2572,42.2299],[-72.2499,42.2386],[-72.2468,42.2418],[-72.2208,42.2452]]]},\"properties\":{\"name\":\"Hampden\",\"state\":\"MA\"}}]}","contact":"Director, New England Water Science Center
U.S. Geological Survey
331 Commerce Way, Suite 2
Pembroke, NH 03275
Temporary aquatic habitats are not widely appreciated fish habitat. However, fish navigate the transient waters of intertidal zones, floodplains, intermittent and ephemeral streams, lake margins, seasonally frozen lakes and streams, and anthropogenic aquatic habitats across the globe to access important resources. The selective pressures imposed by water impermanence (i.e., freezing, drying, tidal fluctuations), however, operate similarly across taxa and ecosystems. These similarities are formalized into a conceptual model relating habitat use to surface water phenology. Whereas all necessary life history functions (spawning, foraging, refuge, and dispersal) can be accomplished in temporary habitats, the timing, duration, and predictability of water act as a “life history filter” to which habitats can be used and for what purpose. Habitats wet from minutes to months may all be important—albeit in different ways, for different species. If life history needs co-occur with accessibility, temporary habitats can contribute substantially to individual fitness, overall production and important metapopulation processes. This heuristic is intended to promote research, recognition and conservation of these frequently overlooked habitats that can be disproportionately important relative to their size or brevity of existence. There is a pressing need to quantify how use of temporary aquatic habitats translates to individual fitness benefits, population size and temporal stability, and ecosystem-level consequences. Temporary aquatic habitats are being impacted at an alarming rate by anthropogenic activities altering their existence, phenology, and connectivity. It is timely that scientists, managers and policymakers consider the role these habitats play in global fish production.
","language":"English","publisher":"Wiley","doi":"10.1111/faf.12386","usgsCitation":"Heim, K., Falke, J.A., McMahon, T., Wipfli, M.S., and Calle, L., 2019, A general model of temporary aquatic habitat use: Water phenology as a life history filter: Fish and Fisheries, v. 20, no. 4, p. 802-816, https://doi.org/10.1111/faf.12386.","productDescription":"15 p.","startPage":"802","endPage":"816","ipdsId":"IP-101686","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":388228,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"4","noUsgsAuthors":false,"publicationDate":"2019-06-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Heim, Kurt C.","contributorId":264533,"corporation":false,"usgs":false,"family":"Heim","given":"Kurt C.","affiliations":[{"id":48645,"text":"umt","active":true,"usgs":false}],"preferred":false,"id":821645,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":821644,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McMahon, Thomas E.","contributorId":264534,"corporation":false,"usgs":false,"family":"McMahon","given":"Thomas E.","affiliations":[{"id":48645,"text":"umt","active":true,"usgs":false}],"preferred":false,"id":821646,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":821643,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Calle, Leonardo","contributorId":264535,"corporation":false,"usgs":false,"family":"Calle","given":"Leonardo","email":"","affiliations":[{"id":48645,"text":"umt","active":true,"usgs":false}],"preferred":false,"id":821647,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70205244,"text":"70205244 - 2019 - Refinement of eDNA as an early monitoring tool at the landscape-level: Study design considerations","interactions":[],"lastModifiedDate":"2019-09-10T10:05:40","indexId":"70205244","displayToPublicDate":"2019-06-12T09:56:33","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Refinement of eDNA as an early monitoring tool at the landscape-level: Study design considerations","docAbstract":"Natural resource managers use data on the spatial range of species to guide management decisions. These data come from survey or monitoring efforts that use a wide variety of tools. Environmental DNA (eDNA) is a surveillance tool that uses genetic markers for detecting species and holds potential as a tool for large-scale monitoring programs. Two challenges of eDNA-based studies are uncertainties created by imperfect capture of eDNA in collection samples (e.g., water field samples) and imperfect detection of eDNA using molecular methods (e.g., quantitative PCR). Occurrence models can be used to address these challenges, thus we use an occurrence model to address two objectives: First, determine how many samples were required to detect species using eDNA; Second, examine when and where to take samples. We collected water samples from three different habitat types in the Upper Mississippi River when both Bighead Carp and Silver Carp were known to be present based on telemetry detections. Each habitat type (backwater, tributary, and impoundment) was sampled during April, May and November. Detections of eDNA for both species varied across sites and months, but were generally low, 0 - 19.3% of samples were positive for eDNA. Overall, we found that eDNA-based sampling holds promise to be a powerful monitoring tool for resource managers, however, limitations of eDNA-based sampling include different biological and ecological characteristics of target species such as seasonal habitat usage patterns as well as aspects of different physical environments that impact the implementation of these methods such as water temperature.","language":"English","publisher":"Wiley","doi":"10.1002/eap.1951","usgsCitation":"Mize, E.L., Erickson, R.A., Merkes, C.M., Berndt, N., Bockrath, K., Credico, J., Grueneis, N., Merry, J., Mosel, K., Tuttle-Lau, M., Von Ruden, K., Amberg, J., Baerwaldt, K., Finney, S., and Monroe, E., 2019, Refinement of eDNA as an early monitoring tool at the landscape-level: Study design considerations: Ecological Applications, v. 29, no. 6, e01951, https://doi.org/10.1002/eap.1951.","productDescription":"e01951","ipdsId":"IP-099527","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences 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S.T.","contributorId":66907,"corporation":false,"usgs":true,"family":"Finney","given":"S.T.","email":"","affiliations":[],"preferred":false,"id":770546,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Monroe, E.M.","contributorId":217239,"corporation":false,"usgs":false,"family":"Monroe","given":"E.M.","email":"","affiliations":[{"id":39581,"text":"Whitney Genetics Laboratory, Midwest Fisheries Center, U.S. Fish and Wildlife Service, 555 Lester Avenue, Onalaska, WI USA","active":true,"usgs":false}],"preferred":false,"id":770547,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70202827,"text":"sir20195016 - 2019 - Interpretation of dye tracing data collected November 13–December 2, 2017, at the Savoy Experimental Watershed as part of the Advanced Groundwater Field Techniques in Karst Terrains course, Savoy, Arkansas","interactions":[],"lastModifiedDate":"2019-06-11T17:41:25","indexId":"sir20195016","displayToPublicDate":"2019-06-11T14:00:00","publicationYear":"2019","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":"2019-5016","displayTitle":"Interpretation of Dye Tracing Data Collected November 13–December 2, 2017, at the Savoy Experimental Watershed as part of the Advanced Groundwater Field Techniques in Karst Terrains Course, Savoy, Arkansas","title":"Interpretation of dye tracing data collected November 13–December 2, 2017, at the Savoy Experimental Watershed as part of the Advanced Groundwater Field Techniques in Karst Terrains course, Savoy, Arkansas","docAbstract":"The first course on the use of advanced groundwater field techniques for karst aquifers was conducted November 13–17, 2017, at the University of Arkansas Savoy Experimental Watershed (SEW), which is located on pastures for beef livestock research conducted by the Department of Animal Sciences at the University of Arkansas at Savoy, Arkansas. The SEW is an interdisciplinary, collaborative, long-term research site for the study of animal-waste management in a mantled karst setting. The course focused on advanced field activities appropriate for karst aquifer studies: dye tracing, groundwater/surface-water interactions, geophysical methods, and geochemistry. This report summarizes the data collected and interpreted from the dye tracing part of the November 2017 course, other USGS field courses, and past dye tracing investigations conducted by University of Arkansas students.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195016","collaboration":"Prepared in Collaboration with the University of Arkansas Department of Geosciences","usgsCitation":"Kuniansky, E.L., Blackstock, J.M., Wagner, D.M., and Brahana, J.V., 2019, Interpretation of dye tracing data collected, November 13–December 2, 2017, at the Savoy Experimental Watershed as part of the Advanced Groundwater Field Techniques in Karst Terrains Course, Savoy, Arkansas: U.S. Geological Survey Scientific Investigations Report 2019–5016, 41 p., https://doi.org/10.3133/sir20195016.","productDescription":"Report: 41 p.;Data Release","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-101252","costCenters":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":364493,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5016/coverthb.jpg"},{"id":364494,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5016/sir20195016.pdf","text":"Report","size":"4.18 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5016"},{"id":364495,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P935TENP","text":"USGS data release","description":"USGS data release"}],"country":"United States","state":"Arkansas","county":"Washington County","city":"Savoy","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-93.8883,36.2353],[-93.945,36.0915],[-93.946,36.0415],[-93.9508,35.8749],[-93.9521,35.8336],[-93.9617,35.8339],[-93.9638,35.7608],[-94.1073,35.7642],[-94.1181,35.7645],[-94.1244,35.7649],[-94.1251,35.7503],[-94.1546,35.7511],[-94.2295,35.7529],[-94.3038,35.7547],[-94.3407,35.7558],[-94.4854,35.7592],[-94.4947,35.7594],[-94.4955,35.7648],[-94.5199,35.9205],[-94.5301,35.986],[-94.5338,36.0093],[-94.5498,36.1027],[-94.5433,36.102],[-94.5274,36.1019],[-94.4801,36.1006],[-94.4624,36.1001],[-94.4447,36.0995],[-94.4242,36.0995],[-94.4071,36.0994],[-94.3889,36.0988],[-94.3891,36.1433],[-94.3561,36.1426],[-94.3367,36.1425],[-94.3352,36.1856],[-94.3349,36.2147],[-94.2819,36.2139],[-94.279,36.2135],[-94.2504,36.2127],[-94.1785,36.2113],[-94.174,36.2114],[-94.154,36.2108],[-94.021,36.2086],[-94.013,36.2083],[-94.0131,36.2305],[-94.0127,36.2382],[-94.0024,36.238],[-93.9893,36.2373],[-93.8883,36.2353]]]},\"properties\":{\"name\":\"Washington\",\"state\":\"AR\"}}]}","contact":"Director, Lower Mississippi Gulf Water Science Center
U.S. Geological Survey
640 Grassmere Park Drive
Nashville, TN 37211
Many stream channel infrastructure, habitat, and restoration projects are being undertaken on small streams throughout Arkansas by various Federal, State, and local agencies and by private organizations and businesses with limited data on local geomorphology and streamflow relations. Equations are needed that relate drainage area above stable stream reaches and the associated basin characteristics to bankfull streamflow and the associated channel dimensions. These equations, along with streambed material particle information, provide information that can improve stream channel projects. The U.S. Geological Survey and the Arkansas Natural Resources Commission in cooperation with the U.S. Army Corps of Engineers, Little Rock District, undertook a study to develop these equations for streams in the Ouachita Mountains of Arkansas.
Seventeen streamgages operated by the U.S. Geological Survey, located on streams in the Ouachita Mountains, were selected for analysis. Regional hydraulic geometry curves that express the mathematical relation between the bankfull channel dimensions (cross-sectional area, top width, mean depth, and streamflow) and the contributing drainage areas were developed. Streambed material measurements were collected to develop descriptive statistics of the streambed particle-size distributions and percentages of substrate type at each study site. Stream reaches at each study site were classified to the Rosgen level II stream type based on the average of stream channel metrics collected from site cross sections and profiles. Of the 17 selected Ouachita Mountain stream reaches, 6 were classified as B stream types, and 11 were classified as C stream types. The B stream types have infrequently spaced pools; very stable plan forms, profiles, and banks; and narrow, gently sloping valleys, where bank vegetation is a moderate component of stability. The C stream types are meandering, point bar, riffle-pool channels associated with broad valleys having well-defined flood plains and terraces composed of alluvial soils, where bank vegetation is typically a high component of stability.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1104","collaboration":"Prepared in cooperation with the Arkansas Natural Resources Commission and the U.S. Army Corps of Engineers, Little Rock District","usgsCitation":"Pugh, A.L., and Redman, R.K., 2019, Regional hydraulic geometry characteristics of stream channels in the Ouachita Mountains of Arkansas: U.S. Geological Survey Data Series 1104, 25 p., https://doi.org/10.3133/ds1104.","productDescription":"Report: v, 25 p.; Data Release","numberOfPages":"35","onlineOnly":"Y","ipdsId":"IP-076095","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":364361,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1104/ds1104.pdf","text":"Report","size":"8.10 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 1104"},{"id":364362,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7BC3WNX","text":"USGS data release ","description":"USGS Data Release","linkHelpText":"Regional Hydraulic Geometry Characteristics of Stream Channels in the Ouachita Mountains of Arkansas"},{"id":364360,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1104/coverthb.jpg"}],"country":"United States","state":"Arkansas","otherGeospatial":"Ouachita Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.350341796875,\n 33.6420625047537\n ],\n [\n -93.306884765625,\n 33.6420625047537\n ],\n [\n -93.306884765625,\n 35.34425514918409\n ],\n [\n -95.350341796875,\n 35.34425514918409\n ],\n [\n -95.350341796875,\n 33.6420625047537\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
640 Grassmere Park, Ste 100
Nashville, TN 37211
Background: Numerous studies have shown that bacteria form stable associations with host corals and have focused on identifying conserved “core microbiomes” of bacterial associates inferred to be serving key roles in the coral holobiont. Because studies tend to focus on only stony corals (order Scleractinia) or soft corals (order Alcyonacea), it is currently unknown if there are conserved bacteria that are shared by both. A meta-analysis was done of 16S rRNA amplicon data from multiple studies generated via identical methodology to allow direct comparisons of bacterial associates across seven deep-sea corals, including both stony and soft species: Anthothela grandiflora, Anthothela sp., Lateothela grandiflora, Lophelia pertusa, Paramuricea placomus, Primnoa pacifica, and Primnoa resedaeformis.
Results: Twenty-three operational taxonomic units (OTUs) were consistently present in greater than 50% of the coral samples. Seven amplicon sequence variants (ASVs), five of which corresponded to a conserved OTU, were consistently present in greater than 30% of the coral samples including five or greater coral species. A majority of the conserved sequences had close matches with previously identified coral-associated bacteria. While known to dominate tropical and temperate coral microbiomes, Endozoicomonas were extremely rare or absent from these deep-sea corals. An Endozoicomonas OTU associated with Lo. pertusa in this study was most similar to those from shallow-water stony corals, while an OTU associated with Anthothela spp. was most similar to those from shallow-water gorgonians.
Conclusions: Bacterial sequences have been identified that are conserved at the level of class Anthozoa (i.e., found in both stony and soft corals, shallow and deep). These bacterial associates are therefore hypothesized to play important symbiotic roles and are highlighted for targeted future study. These conserved bacterial associates include taxa with the potential for nitrogen and sulfur cycling, detoxification, and hydrocarbon degradation. There is also some overlap with kit contaminants that need to be resolved. Rarely detected Endozoicomonas sequences are partitioned by whether the host is a stony coral or a soft coral, and the finer clustering pattern reflects the hosts’ phylogeny.
","language":"English","publisher":"BMC","doi":"10.1186/s40168-019-0697-3","usgsCitation":"Kellogg, C.A., 2019, Microbiomes of stony and soft deep-sea corals share rare core bacteria: Microbiome, v. 7, 90, 13p., https://doi.org/10.1186/s40168-019-0697-3.","productDescription":"90, 13p.","ipdsId":"IP-097775","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467544,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40168-019-0697-3","text":"Publisher Index Page"},{"id":364731,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Kellogg, Christina A. 0000-0002-6492-9455 ckellogg@usgs.gov","orcid":"https://orcid.org/0000-0002-6492-9455","contributorId":391,"corporation":false,"usgs":true,"family":"Kellogg","given":"Christina","email":"ckellogg@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":764335,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70202934,"text":"ofr20191034 - 2019 - Hydrogeologic characterization of part of the Lower Floridan aquifer at the South District Wastewater Treatment Plant, Miami-Dade County, Florida","interactions":[],"lastModifiedDate":"2019-06-10T14:05:12","indexId":"ofr20191034","displayToPublicDate":"2019-06-10T07:19:06","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1034","displayTitle":"Hydrogeologic characterization of part of the Lower Floridan Aquifer at the South District Wastewater Treatment Plant, Miami-Dade County, Florida","title":" Hydrogeologic characterization of part of the Lower Floridan aquifer at the South District Wastewater Treatment Plant, Miami-Dade County, Florida","docAbstract":"The South District Wastewater Treatment Plant in southeastern Miami-Dade County, Florida, includes a Class I treated wastewater injection well system. The detection of ammonia in monitoring zones above the injection zone in the Lower Floridan aquifer has elicited a need to understand the nature of confinement within the Lower Floridan aquifer as it pertains to the vertical migration of injectate out of the injection zone upward into the Underground Source of Drinking Water in the upper part of the Floridan aquifer system. Geologic and geophysical data, borehole video imagery, and aquifer performance data were used to refine and clarify the geologic and hydrogeologic frameworks of part of the Lower Floridan aquifer at the treatment plant. The data provide evidence for zones of enhanced dissolution permeability, extensive secondary porosity, fractures, karst collapse structures, and faults that could provide vertical cross-formational fluid pathways that transect the Lower Floridan aquifer.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191034","collaboration":"Prepared in cooperation with the Miami-Dade Water and Sewer Department","usgsCitation":"DeFosset, K.L., and Cunningham, K.J., 2019, Hydrogeologic characterization of part of the Lower Floridan aquifer at the South District Wastewater Treatment Plant, Miami-Dade County, Florida: U.S. Geological Survey Open-File Report 2019–1034, 15 p., https://doi.org/10.3133/ofr20191034.","productDescription":"24 p.","onlineOnly":"Y","ipdsId":"IP-075297","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":364437,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1034/ofr20191034.pdf","text":"Report","size":"2.30 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018–1034"},{"id":364436,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1034/coverthb3.jpg"}],"country":"United States","state":"Florida","county":"Miami-Dade County","otherGeospatial":"Lower Floridan Aquifer","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.3679084777832,\n 25.5322186740316\n ],\n [\n -80.30645370483398,\n 25.5322186740316\n ],\n [\n -80.30645370483398,\n 25.568459199445766\n ],\n [\n -80.3679084777832,\n 25.568459199445766\n ],\n [\n -80.3679084777832,\n 25.5322186740316\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Caribbean-Florida Water Science Center
U.S. Geological Survey
4446 Pet Lane, Suite 108
Lutz, FL 33559
Understanding drivers of freshwater fish assemblages is critically important for biodiversity conservation strategies, especially in rapidly developing countries, which often have environmental protections lagging behind economic development. The influences of natural and human factors in structuring fish assemblages and their relative contributions are likely to change given the increasing magnitude of human activities. To discriminate natural and human drivers of fish diversity and assemblage patterns in developing countries with rapid socio-economic development, a dataset of 908 freshwater fish species and 13 metrics including three categories of both natural (i.e., biogeographic) and human drivers (i.e., economic growth, inland fisheries) in China were analysed with machine learning algorithms (i.e., self-organizing map, random forest). Here, we found that biogeographic drivers explained 21.8% of the observed fish assemblage patterns in China and remained stronger predictors when compared to human drivers (i.e., 15.6%, respectively). Freshwater fish species richness was positively correlated to rainfall, air temperature, surface water area and inland fisheries production but negatively correlated with urbanization. In addition, the strong structuring effects of climatic variables on Chinese fish richness patterns suggested that the fish assemblages could be particularly vulnerable to climate change. Our results showed that natural biogeographic factors still dominate in driving freshwater fish assemblage patterns despite increased human disturbances on aquatic ecosystems in a rapidly developing country. These findings consequently suggested that we should consider both natural (e.g., climate) and human (e.g., urbanization, inland fisheries) factors when establishing aquatic conservation strategies and priorities for developing countries that are experiencing rapid socio-economic changes.
","language":"English","publisher":"Wiley","doi":"10.1111/faf.12380","usgsCitation":"Guo, C., Chen, Y., Gozlan, R.E., Li, Z., Mehner, T., Lek, S., and Paukert, C.P., 2019, Biogeographic freshwater fish pattern legacy revealed despite rapid socio-economic changes in China: Fish and Fisheries, v. 20, no. 5, p. 857-869, https://doi.org/10.1111/faf.12380.","productDescription":"13 p.","startPage":"857","endPage":"869","ipdsId":"IP-093021","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395234,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 72.158203125,\n 17.811456088564483\n ],\n [\n 137.63671875,\n 17.811456088564483\n ],\n [\n 137.63671875,\n 55.02802211299252\n ],\n [\n 72.158203125,\n 55.02802211299252\n ],\n [\n 72.158203125,\n 17.811456088564483\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","issue":"5","noUsgsAuthors":false,"publicationDate":"2019-06-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Guo, Chuanbo","contributorId":207404,"corporation":false,"usgs":false,"family":"Guo","given":"Chuanbo","email":"","affiliations":[{"id":37533,"text":"State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China","active":true,"usgs":false}],"preferred":false,"id":832384,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chen, Yushun","contributorId":187716,"corporation":false,"usgs":false,"family":"Chen","given":"Yushun","email":"","affiliations":[{"id":32415,"text":"Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":832385,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gozlan, Rodolphe E.","contributorId":272914,"corporation":false,"usgs":false,"family":"Gozlan","given":"Rodolphe","email":"","middleInitial":"E.","affiliations":[{"id":37581,"text":"Université de Montpellier, France","active":true,"usgs":false}],"preferred":false,"id":832386,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Li, Zhongjie","contributorId":177557,"corporation":false,"usgs":false,"family":"Li","given":"Zhongjie","email":"","affiliations":[],"preferred":false,"id":832533,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mehner, Thomas","contributorId":272917,"corporation":false,"usgs":false,"family":"Mehner","given":"Thomas","email":"","affiliations":[{"id":38332,"text":"Leibniz-Institute of Freshwater Ecology and Inland Fisheries","active":true,"usgs":false}],"preferred":false,"id":832387,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lek, Sovan","contributorId":272922,"corporation":false,"usgs":false,"family":"Lek","given":"Sovan","email":"","affiliations":[{"id":56409,"text":"Paul Sabatier University","active":true,"usgs":false}],"preferred":false,"id":832388,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Paukert, Craig P. 0000-0002-9369-8545 cpaukert@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":147821,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","email":"cpaukert@usgs.gov","middleInitial":"P.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":832390,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70215488,"text":"70215488 - 2019 - Geochemical data for produced waters from conventional and unconventional oil and gas wells: Results from Colorado, USA","interactions":[],"lastModifiedDate":"2020-10-22T13:06:58.830173","indexId":"70215488","displayToPublicDate":"2019-06-07T08:03:56","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Geochemical data for produced waters from conventional and unconventional oil and gas wells: Results from Colorado, USA","docAbstract":"Geochemical data for more than 120,000 oil and natural gas wells from the major sedimentary basins in the USA are listed in the USGS National Produced Waters Geochemical Database [1]. In this summary, we report and discuss the geochemical data on produced waters obtained from published literature and the Colorado Oil and Gas Conservation Commission (COGCC) from close to 4,000 new oil and gas wells in Colorado. We emphasize geochemical data of produced waters from shale and tight reservoirs that have increased dramatically in Colorado since 2011, due to deep horizontal drilling, downhole telemetry and massive multi-stage hydraulic fracturing. These operations require large volumes of fresh water, but contamination of groundwater is the major environmental concern. Also, induced seismicity caused by water injection has been reported from several areas in Colorado, including Trinidad, Raton basin, and Greely, Denver basin. Produced water salinities in Colorado obtained from unconventional oil and gas wells are relatively low, generally less than 30,000 mg/L TDS. Produced water salinities from conventional oil and gas wells overlap those from unconventional wells, but many wells have higher salinities (up to 90,000 mg/L TDS) and different chemical compositions.
From 1997 to the present, the U.S. Geological Survey and other agencies have been collecting water samples for chemical analyses on Mount Emmons in central Colorado, USA. The geology of Mount Emmons is dominated by Upper Cretaceous to Paleogene sediments of marine to continental origin, with felsic intrusive rocks interrupting the sedimentary block. Extensive sulphide-rich alteration accompanied the intrusive events and forms an alteration halo in the sediments. Weathering of these sulphide minerals has led to numerous springs and seeps with a naturally low pH and high concentrations of metals, especially Fe and Zn. Superimposed on the natural geochemical signature are acid, metal-rich drainages from several mines and drill holes. Thus, streams on Mt. Emmons have a mix of natural and anthropogenic metal sources. Nearly 450 samples compose the database, with numerous sample locations replicated from the late 1990s to the present. Although there does not appear to be any temporal pattern in the data, consistent spatial variations are observed that allow us to characterize the natural and anthropogenic water sources.
Submarine canyons are conduits for episodic and powerful sediment density flows (commonly called turbidity currents) that move globally significant amounts of terrestrial sediment and organic carbon into the deep sea, forming some of the largest sedimentary deposits on Earth. The only record available for most turbidity currents is the deposit they leave behind. Therefore, to understand turbidity current processes, we need to determine the degree to which these flows are represented by their deposits. However, linking flows and deposits is a major long-standing scientific challenge. There are few detailed measurements from submarine turbidity currents in action, and even fewer direct measurements that can be compared to resulting seabed deposits. Recently, an extensive array of moorings along Monterey Canyon, offshore California, took measurements and samples during sediment density flow events, providing the most comprehensive dataset to date of turbidity current flows and their deposits. Here, we use sediment trap samples, velocity measurements, and seafloor cores to document how sand is transported through a submarine canyon, and how the transported sediment is represented in seafloor deposits. Sediment trap samples from events contain primarily fine to medium-grained sand with sharp bases, normal grading, and muddy tops. Sediment captured from the water column during the flow shows normal grading, which is broadly consistent with the initial peak and waning of flow velocities measured at a single height within the flow, and may be enhanced by collapsing flows. Flow events contain coarser sand concentrated toward the seafloor and larger grain sizes on the seafloor or in the dense near-bed layer, possibly representative of stratified flows. Although flow velocity varies, sand grain sizes in sediment traps are similar over distances of 50 km down-canyon, suggesting that grain size is an unfaithful record of down-canyon changes in maximum flow speeds. Sand transported within flow events and sampled in sediment traps is similar to sand sampled from the seafloor shortly after the events, but traps do not contain pebbles and gravel common in seabed deposits. Seabed deposits thus appear to faithfully record the sand component that is transported in the water column during sub-annual turbidity currents.
","language":"English","publisher":"Frontiers","doi":"10.3389/feart.2019.00144","usgsCitation":"Maier, K.L., Gales, J., Paull, C.K., Rosenberger, K.J., Talling, P.J., Simmons, S., Gwiazda, R., McGann, M., Cartigny, M.J., Lundsten, E.M., Anderson, K., Clare, M., Xu, J., Parsons, D., Barry, J., Wolfson-Schwher, M., Nieminski, N.M., and Sumner, E., 2019, Linking direct measurements of turbidity currents to submarine canyon-floor deposits: Frontiers in Earth Science, v. 7, 144; 18 p., https://doi.org/10.3389/feart.2019.00144.","productDescription":"144; 18 p.","ipdsId":"IP-104483","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467553,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2019.00144","text":"Publisher Index 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Carolina","active":true,"usgs":false}],"preferred":true,"id":764905,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosenberger, Kurt J. 0000-0002-5185-5776 krosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5185-5776","contributorId":140453,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Kurt","email":"krosenberger@usgs.gov","middleInitial":"J.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":764902,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Talling, Peter J.","contributorId":195515,"corporation":false,"usgs":false,"family":"Talling","given":"Peter","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":764906,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Simmons, 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UK","active":true,"usgs":false}],"preferred":false,"id":764915,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Barry, James P.","contributorId":140935,"corporation":false,"usgs":false,"family":"Barry","given":"James P.","affiliations":[{"id":13620,"text":"Monterey Bay Aquarium Research Institute, Moss Landing, California","active":true,"usgs":false}],"preferred":false,"id":764916,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Wolfson-Schwher, Monica","contributorId":216509,"corporation":false,"usgs":false,"family":"Wolfson-Schwher","given":"Monica","email":"","affiliations":[{"id":37324,"text":"Monterey Bay Aquarium Research Institute","active":true,"usgs":false}],"preferred":false,"id":764917,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Nieminski, Nora M.","contributorId":216510,"corporation":false,"usgs":false,"family":"Nieminski","given":"Nora","email":"","middleInitial":"M.","affiliations":[{"id":6986,"text":"Stanford 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Knowing the location of these wells, and the populations they serve, is important for identifying heavily used aquifers, locations susceptible to contamination, and populations potentially impacted by poor-quality groundwater. The 1990 census was the last nationally consistent survey of a home’s source of water, and has not been surveyed since. This paper presents a method for projecting the population dependent on domestic wells for years after 1990, using information from the 1990 census along with population data from subsequent censuses. The method is based on the “domestic ratio” at the census block-group level, defined here as the number of households dependent on domestic wells divided by the total population. Analysis of 1990 data (>220,000 block-groups) indicates that the domestic ratio is a function of the household density. As household density increases, the domestic ratio decreases, once a household density threshold is met. The 1990 data were used to develop a relationship between household density and the domestic ratio. The fitted model, along with household density data from 2000 and 2010, was used to estimate domestic ratios for each decadal year. In turn, the number of households dependent on domestic wells was estimated at the block-group level for 2000 and 2010. High-resolution census-block population data were used to refine the spatial distribution of domestic-well usage and to convert the data into population numbers. The results are presented in two downloadable raster datasets for each decadal year. It is estimated that the total population using domestic-well water in the contiguous U.S. increased 1.5% from 1990 to 2000 to a total of 37.25 million people and increased slightly from 2000 to 2010 to 37.29 million people.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2019.06.036","usgsCitation":"Johnson, T., Belitz, K., and Lombard, M.A., 2019, Estimating domestic well locations and populations served in the contiguous U.S. for years 2000 and 2010: Science of the Total Environment, v. 687, p. 1261-1273, https://doi.org/10.1016/j.scitotenv.2019.06.036.","productDescription":"13 p.","startPage":"1261","endPage":"1273","ipdsId":"IP-101767","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":466,"text":"New England Water Science 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The disproportionate loss of once-dominant, reef-building taxa has facilitated relative increases in the abundance of “weedy” or stress-tolerant coral species. Although the recent transformation of coral-reef assemblages is unprecedented on ecological timescales, determining whether modern coral reefs have truly reached a novel ecosystem state requires evaluating the dynamics of reef composition over much longer periods of time. Here, we provide a geologic perspective on the shifting composition of Florida's reefs by reconstructing the millennial-scale spatial and temporal variability in reef assemblages using 59 Holocene reef cores collected throughout the Florida Keys Reef Tract (FKRT). We then compare the relative abundances of reef-building species in the Holocene reef framework to data from contemporary reef surveys to determine how much Florida's modern reef assemblages have diverged from long-term baselines. We show that the composition of Florida's reefs was, until recently, remarkably stable over the last 8000 yr. The same corals that have dominated shallow-water reefs throughout the western Atlantic for hundreds of thousands of years, Acropora palmata, Orbicella spp., and other massive coral taxa, accounted for nearly 90% of Florida's Holocene reef framework. In contrast, the species that now have the highest relative abundances on the FKRT, primarily Porites astreoides and Siderastrea siderea, were rare in the reef framework, suggesting that recent shifts in species assemblages are unprecedented over millennial timescales. Although it may not be possible to return coral reefs to pre-Anthropocene states, our results suggest that coral-reef management focused on the conservation and restoration of the reef-building species of the past, will optimize efforts to preserve coral reefs, and the valuable ecosystem services they provide into the future.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.2781","usgsCitation":"Toth, L., Stathakopoulos, A., Kuffner, I.B., Ruzicka, R.R., Colella, M.A., and Shinn, E.A., 2019, The unprecedented loss of Florida's reef-building corals and the emergence of a novel coral-reef assemblage: Ecology, v. 100, no. 9, e02781, 14 p., https://doi.org/10.1002/ecy.2781.","productDescription":"e02781, 14 p.","ipdsId":"IP-104540","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467556,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecy.2781","text":"Publisher Index Page"},{"id":437430,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93XXXA0","text":"USGS data release","linkHelpText":"The Absolute and Relative Composition of Holocene Reef Cores From the Florida Keys Reef Tract"},{"id":422972,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Florida Keys Reef Tract","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.52594320175321,\n 24.764514561822665\n ],\n [\n -83.03873267817458,\n 24.764514561822665\n ],\n [\n -83.08197998341461,\n 24.427458630027616\n ],\n [\n -81.47565150305881,\n 24.41058205242757\n ],\n [\n -80.33268700742039,\n 24.92709848702593\n ],\n [\n -80.06702498951552,\n 25.525116607289604\n ],\n [\n -80.25854876986541,\n 25.53069165144869\n ],\n [\n -80.598349025326,\n 25.03910062993201\n ],\n [\n -81.3644441467264,\n 24.826209468694913\n ],\n [\n -82.52594320175321,\n 24.764514561822665\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"100","issue":"9","noUsgsAuthors":false,"publicationDate":"2019-07-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Toth, Lauren T. 0000-0002-2568-802X ltoth@usgs.gov","orcid":"https://orcid.org/0000-0002-2568-802X","contributorId":181748,"corporation":false,"usgs":true,"family":"Toth","given":"Lauren","email":"ltoth@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":888681,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stathakopoulos, Anastasios 0000-0002-4404-035X astathakopoulos@usgs.gov","orcid":"https://orcid.org/0000-0002-4404-035X","contributorId":147744,"corporation":false,"usgs":true,"family":"Stathakopoulos","given":"Anastasios","email":"astathakopoulos@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":888682,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kuffner, Ilsa B. 0000-0001-8804-7847 ikuffner@usgs.gov","orcid":"https://orcid.org/0000-0001-8804-7847","contributorId":3105,"corporation":false,"usgs":true,"family":"Kuffner","given":"Ilsa","email":"ikuffner@usgs.gov","middleInitial":"B.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":888683,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ruzicka, Robert R.","contributorId":204569,"corporation":false,"usgs":false,"family":"Ruzicka","given":"Robert","email":"","middleInitial":"R.","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":888684,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Colella, Michael A.","contributorId":139979,"corporation":false,"usgs":false,"family":"Colella","given":"Michael","email":"","middleInitial":"A.","affiliations":[{"id":13340,"text":"Fish & Wildlife Research Institute, Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":888685,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shinn, Eugene A.","contributorId":210858,"corporation":false,"usgs":false,"family":"Shinn","given":"Eugene","email":"","middleInitial":"A.","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":888686,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70203718,"text":"70203718 - 2019 - Biota dose assessment of small rodents sampled near breccia pipe uranium mines in the Grand Canyon watershed","interactions":[],"lastModifiedDate":"2019-06-07T16:35:05","indexId":"70203718","displayToPublicDate":"2019-06-06T10:16:34","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1884,"text":"Health Physics","active":true,"publicationSubtype":{"id":10}},"title":"Biota dose assessment of small rodents sampled near breccia pipe uranium mines in the Grand Canyon watershed","docAbstract":"The biotic exposure and uptake of radionuclides and potential health effects due to breccia pipe uranium mining in the Grand Canyon watershed are largely unknown. This paper describes the use of the RESRAD-BIOTA dose model to assess exposure of small rodents (n = 11) sampled at three uranium mine sites in different stages of ore production (active and postproduction). Rodent tissue and soil concentrations of naturally occurring uranium (234U, 235U, and 238U), thorium (228Th, 230Th, and 232Th), and radium (226Ra) radioisotopes were used in the dose model. The dose assessment results indicated that the potential internal, external, and total doses to rodents were below the US Department of Energy’s biota dose standard of 1 mGy d−1. As expected, tissue concentrations of 238U, 234U, and 230Th were in approximate equilibrium; however, 226Ra results in tissue were 1.25 to 5.75 times greater than 238U, 234U, and 230Th tissue results for 10 out of 11 samples. Soil at the three sites also displayed 226Ra enrichment, so it is likely that the 226Ra enrichment in the rodents was from soil via typical activities (i.e., burrowing, incidental ingestion, bathing, etc.) or by dietary uptake of translocated 226Ra. The results suggest that 226Ra is more mobile in this environment and bioaccumulates in these rodent species (e.g., in bones via the bloodstream). Internal dose accounting suggests that 226Ra is the radionuclide of most concern for rodent exposure and health.","language":"English","publisher":"Kluwer","doi":"10.1097/HP.0000000000001041","usgsCitation":"Minter, K.M., Jannik, T., Hinck, J.E., Cleveland, D.M., Kubilius, W.P., and Kuhne, W.W., 2019, Biota dose assessment of small rodents sampled near breccia pipe uranium mines in the Grand Canyon watershed: Health Physics, v. 117, no. 1, p. 20-27, https://doi.org/10.1097/HP.0000000000001041.","productDescription":"8 p.","startPage":"20","endPage":"27","ipdsId":"IP-099488","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":364427,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Grand Canyon ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.0106201171875,\n 35.70414710206052\n ],\n [\n -111.50848388671875,\n 35.70414710206052\n ],\n [\n -111.50848388671875,\n 36.89499795802219\n ],\n [\n -114.0106201171875,\n 36.89499795802219\n ],\n [\n -114.0106201171875,\n 35.70414710206052\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"117","issue":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Minter, Kelsey M.","contributorId":216055,"corporation":false,"usgs":false,"family":"Minter","given":"Kelsey","email":"","middleInitial":"M.","affiliations":[{"id":39358,"text":"Savannah River National Laboratory, Savannah River Site, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":763784,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jannik, Timothy","contributorId":216056,"corporation":false,"usgs":false,"family":"Jannik","given":"Timothy","email":"","affiliations":[{"id":39358,"text":"Savannah River National Laboratory, Savannah River Site, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":763785,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hinck, Jo Ellen 0000-0002-4912-5766 jhinck@usgs.gov","orcid":"https://orcid.org/0000-0002-4912-5766","contributorId":2743,"corporation":false,"usgs":true,"family":"Hinck","given":"Jo","email":"jhinck@usgs.gov","middleInitial":"Ellen","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":763786,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cleveland, Danielle M. 0000-0003-3880-4584 dcleveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3880-4584","contributorId":187471,"corporation":false,"usgs":true,"family":"Cleveland","given":"Danielle","email":"dcleveland@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":763783,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kubilius, Walter P.","contributorId":216057,"corporation":false,"usgs":false,"family":"Kubilius","given":"Walter","email":"","middleInitial":"P.","affiliations":[{"id":39358,"text":"Savannah River National Laboratory, Savannah River Site, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":763787,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kuhne, Wendy W.","contributorId":216058,"corporation":false,"usgs":false,"family":"Kuhne","given":"Wendy","email":"","middleInitial":"W.","affiliations":[{"id":39358,"text":"Savannah River National Laboratory, Savannah River Site, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":763788,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70200969,"text":"fs20183069 - 2019 - Water Resources of West Carroll Parish, Louisiana","interactions":[],"lastModifiedDate":"2019-07-22T07:58:16","indexId":"fs20183069","displayToPublicDate":"2019-06-06T07:59:57","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-3069","displayTitle":"Water Resources of West Carroll Parish, Louisiana","title":"Water Resources of West Carroll Parish, Louisiana","docAbstract":"Information concerning the availability, use, and quality of water in West Carroll Parish, Louisiana, is critical for proper water-supply management. The purpose of this fact sheet is to present information that can be used by water managers, parish residents, and others for stewardship of this vital resource. In 2014, 21.27 million gallons per day (Mgal/d) of water were withdrawn in West Carroll Parish, including 17.91 Mgal/d from groundwater sources and 3.37 Mgal/d from surface-water sources. Withdrawals for agricultural use, composed of general irrigation, rice irrigation, and livestock, accounted for 93 percent (19.76 Mgal/d) of the total water withdrawn. Other use categories included public supply and rural domestic. Water-use data collected at 5-year intervals from 1960 to 2010 and again in 2014 indicated that water withdrawals peaked in 2000 at 31.7 Mgal/d. The large decreases in water use from 1985 to 1990 and again from 2005 to 2010 are primarily attributable to declines in groundwater withdrawals for rice irrigation from 10 Mgal/d in 1985 to 2.22 Mgal/d in 1990 and from 10.52 Mgal/d in 2005 to 5.14 Mgal/d in 2010. Surface-water withdrawals for general irrigation declined from 2.44 Mgal/d in 1985 to 0.42 Mgal/d in 1990 and from 2.2 Mgal/d in 2005 to 1.1 Mgal/d in 2010. Surface-water withdrawals for rice irrigation declined from 1.41 Mgal/d in 1985 to 0.66 Mgal/d in 1990 and from 2.06 Mgal/d in 2005 to 1.01 Mgal/d in 2010.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183069","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"White, V.E., 2019, Water resources of West Carroll Parish, Louisiana: U.S. Geological Survey Fact Sheet 2018–3069, 6 p., https://doi.org/10.3133/fs20183069.","productDescription":"Report: 6 p.; Data Release","numberOfPages":"6","onlineOnly":"N","ipdsId":"IP-081704","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":362840,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F78051VM","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Water withdrawals by source and category in Louisiana Parishes, 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U.S. Geological Survey
3535 S. Sherwood Forest Blvd., Suite 120
Baton Rouge, LA 70816
Information concerning the availability, use, and quality of water in Morehouse Parish, Louisiana, is critical for proper water-supply management. The purpose of this fact sheet is to present information that can be used by water managers, parish residents, and others for stewardship of this vital resource. In 2014, 109.84 million gallons per day (Mgal/d) of water were withdrawn in Morehouse Parish: 78.05 Mgal/d from groundwater sources and 31.79 Mgal/d from surface-water sources. Withdrawals for agricultural use—including general irrigation, rice irrigation, and livestock—accounted for about 97 percent (106.29 Mgal/d) of the total water withdrawn. Other categories of use included public supply, rural domestic, and industrial. Water-use data collected at 5-year intervals from 1960 to 2010 and again in 2014 indicated that water withdrawals peaked in 1975 at 167.82 Mgal/d.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183068","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"White, V.E., 2019, Water resources of Morehouse Parish, Louisiana: U.S. Geological Survey Fact Sheet 2018–3068, 6 p., https://doi.org/10.3133/fs20183068. 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Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
3535 S. Sherwood Forest Blvd., Suite 120
Baton Rouge, LA 70816