Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 689 million barrels of continuous shale oil and 3.9 trillion cubic feet of shale gas in the South Sumatra Basin Province in Indonesia.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163090","usgsCitation":"Schenk, C.J., Tennyson, M.E., Klett, T.R., Finn, T.M., Mercier, T.J., Gaswirth, S.B., Marra, K.R., Le, P.A., and Hawkins, S.J., 2016, Assessment of continuous oil and gas resources of the South Sumatra Basin Province, Indonesia, 2016: U.S. Geological Survey Fact Sheet 2016–3090, 2 p., https://doi.org/10.3133/fs20163090.","productDescription":"2 p.","onlineOnly":"N","ipdsId":"IP-077729","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":331659,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3090/fs20163090.pdf","text":"Report","size":"448 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016-3090"},{"id":331658,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3090/coverthb2.jpg"}],"country":"Indonesia","otherGeospatial":"South Sumatra Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 105.809326171875,\n -5.670651222566598\n ],\n [\n 101.546630859375,\n -1.7575368113083125\n ],\n [\n 103.95263671874999,\n -0.3076157096439005\n ],\n [\n 106.19384765625,\n -2.964984369333955\n ],\n [\n 105.809326171875,\n -5.670651222566598\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver Federal Center
Denver, CO 80225-0046
How much nitrogen, phosphorus, and suspended solids are contributed by the highly urbanized areas of the Hampton Roads region in Virginia to Chesapeake Bay? The answer to this complex question has major implications for policy decisions, resource allocations, and efforts aimed at restoring clean waters to Chesapeake Bay and its tributaries. To quantify the amount of nitrogen, phosphorus, and suspended solids delivered to the bay from this region, the U.S. Geological Survey has partnered with the Hampton Roads Sanitation District (HRSD), in cooperation with the Hampton Roads Planning District Commission (HRPDC), to conduct a water-quality monitoring program throughout the Hampton Roads region.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163095","collaboration":"In cooperation with the Hampton Roads Planning District Commission","usgsCitation":"Porter, A.J., and Jastram, J.D., 2016, Hampton roads regional Water-Quality Monitoring Program: U.S. Geological Survey Fact Sheet 2016–3095, 2 p., https://dx.doi.org/10.3133/fs20163095.","productDescription":"2 p. ","startPage":"1","endPage":"2","onlineOnly":"N","ipdsId":"IP-080738","costCenters":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":331303,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3095/fs20163095.pdf","text":"Report","size":"1.62 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016-3095"},{"id":331373,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3095/coverthb2.jpg"}],"country":"United States","state":"Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.02264404296875,\n 37.131855694734625\n ],\n [\n -76.1077880859375,\n 37.201893907733826\n ],\n [\n -76.256103515625,\n 37.246728019617215\n ],\n [\n -76.44424438476562,\n 37.24454160816698\n ],\n [\n -76.57608032226562,\n 37.23579532804237\n ],\n [\n -76.69418334960938,\n 37.21064411993447\n ],\n [\n -76.70379638671874,\n 36.98719701173416\n ],\n [\n -76.66946411132812,\n 36.78399193687661\n ],\n [\n -76.640625,\n 36.65079252503471\n ],\n [\n -76.2506103515625,\n 36.640875904982344\n ],\n [\n -75.95947265625,\n 36.639773979496574\n ],\n [\n -75.93612670898438,\n 36.712467243386264\n ],\n [\n -75.92926025390625,\n 36.76419177390199\n ],\n [\n -75.96359252929686,\n 36.87302936279296\n ],\n [\n -76.02264404296875,\n 37.131855694734625\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Virginia and West Virginia Water Science Center
U.S. Geological Survey
1730 East Parham Road
Richmond, VA 23228
http://va.water.usgs.gov/HRstormwater/
http://va.water.usgs.gov/
The Alazán, Apache, Martínez, and San Pedro Creeks in San Antonio, Texas, are part of a network of urban tributaries to the San Antonio River, known locally as the Westside Creeks. The Westside Creeks flow through some of the oldest neighborhoods in San Antonio. The disruption of streambed sediment is anticipated during a planned restoration to improve and restore the environmental condition of 14 miles of channelized sections of the Westside Creeks in San Antonio. These construction activities can create the potential to reintroduce chemicals found in the sediments into the ecosystem where, depending on hydrologic and environmental conditions, they could become bioavailable and toxic to aquatic life. Elevated concentrations of sediment-associated contaminants often are measured in urban areas such as San Antonio, Tex. Contaminants found in sediment can affect the health of aquatic organisms that ingest sediment. The gradual accumulation of trace elements and organic compounds in aquatic organisms can cause various physiological issues and can ultimately result in death of the aquatic organisms; in addition, subsequent ingestion of aquatic organisms can transfer the accumulated contaminants upward through the food chain (a process called biomagnification).
The U.S. Geological Survey, in cooperation with the San Antonio River Authority, collected sediment samples and water samples for toxicity testing from sites on the Westside Creeks as part of an initial characterization of selected contaminants in the study area. Samples were collected in January 2014 during base-flow conditions and again in May 2104 after a period of stormwater runoff (poststorm conditions). Sediment samples were analyzed for selected constituents, including trace elements and organic contaminants such as pesticides, brominated flame retardants, polychlorinated biphenyls (PCBs), and polycyclic aromatic hydrocarbons (PAHs). In addition, as an indicator of ecological health (and possibly bioavailability of contaminants in disturbed streambed sediments), the toxicity of water samples to the indicator species Pimephales promelas (fathead minnow) was evaluated by using standard 7-day water-toxicity testing.
","language":"English, Spanish","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163096","collaboration":"Prepared in cooperation with the San Antonio River Authority","usgsCitation":"Crow, C.L., Wilson, J.T., and Kunz, J.L., 2016, Selected streambed sediment compounds and water toxicity results for Westside Creeks, San Antonio, Texas, 2014: U.S. Geological Survey Fact Sheet 2016–3096, 4 p., https://doi.org/10.3133/fs20163096.","productDescription":"Document: 4 p.; Companion File","startPage":"1","endPage":"4","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-079315","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":331371,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3096/fs20163096_SpanishVersion.pdf","text":"Spanish Fact Sheet","size":"613 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016–3096 Spanish Version"},{"id":331374,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2016/5136/sir20165136.pdf","text":"SIR 2016–5136","size":"8.64 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016–5136"},{"id":331370,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3096/fs20163096.pdf","text":"English Fact Sheet","size":"667 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016–3096 English Version"},{"id":331369,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3096/coverthb.jpg"}],"country":"United States","state":"Texas","city":"San Antonio","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -98.604167,\n 29.475\n ],\n [\n -98.604167,\n 29.3625\n ],\n [\n -98.454167,\n 29.3625\n ],\n [\n -98.454167,\n 29.475\n ],\n [\n -98.604167,\n 29.475\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Texas Water Science Center
U.S. Geological Survey
1505 Ferguson Lane
Austin, Texas 78754–4501
Using a geology-based methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 13 million barrels of oil and 2,643 billion cubic feet of natural gas in the Dnieper-Donets Basin and North Carpathian Basin Provinces of Ukraine, Romania, Moldova, and Poland.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163082","usgsCitation":"Klett, T.R., Schenk, C.J., Brownfield, M.E., Charpentier, R.R., Mercier, T.J., Leathers-Miller, H.M., and Tennyson, M.E., 2016, Assessment of undiscovered continuous oil and gas resources in the Dnieper-Donets Basin and North Carpathian Basin Provinces, Ukraine, Romania, Moldova, and Poland, 2015 (ver. 1.1, December 2016): U.S. Geological Survey Fact Sheet 2016–3082, 2 p., https://doi.org/10.3133/fs20163082.","productDescription":"2 p.","onlineOnly":"N","ipdsId":"IP-070968","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":331293,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3082/coverthb.jpg"},{"id":332334,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2016/3082/versionHist.txt","text":" Version History","size":"4.0 kB","linkFileType":{"id":2,"text":"txt"},"description":"FS 2016-3082 Version History"},{"id":331294,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3082/fs20163082.pdf","text":"Report","size":"388 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016-3082"}],"country":"Moldova, Poland, Romania, Ukraine","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 25,\n 44\n ],\n [\n 25,\n 55\n ],\n [\n 42,\n 55\n ],\n [\n 42,\n 44\n ],\n [\n 25,\n 44\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0: November 30, 2016; Version 1.1: December 20, 2016","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver Federal Center
Denver, CO 80225-0046
Information concerning the availability, use, and quality of water in West Baton Rouge Parish, Louisiana, is critical for proper water-resource 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. Information on the availability, past and current use, use trends, and water quality from groundwater and surface-water sources in the parish is presented. Previously published reports and data stored in the U.S. Geological Survey’s National Water Information System (http://waterdata.usgs.gov/nwis) are the primary sources of the information presented here.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163068","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"White, V.E., and Prakken, L.B., 2016, Water resources of West Baton Rouge Parish, Louisiana: U.S. Geological Survey Fact Sheet 2016–3068, 6 p., https://dx.doi.org/10.3133/fs20163068.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","ipdsId":"IP-073099","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":330988,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3068/coverthb.jpg"},{"id":330989,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3068/fs20163068.pdf","text":"Fact Sheet","size":"1.26 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016–3068"}],"country":"United States","state":"Louisiana","county":"West Baton Rouge Parish","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-91.3051,30.6529],[-91.2993,30.6516],[-91.2977,30.6493],[-91.2972,30.6401],[-91.2999,30.631],[-91.3057,30.6182],[-91.3132,30.6018],[-91.3164,30.5903],[-91.3159,30.5816],[-91.3117,30.5752],[-91.3085,30.5739],[-91.2947,30.5711],[-91.2666,30.571],[-91.2502,30.5632],[-91.2459,30.5559],[-91.2438,30.55],[-91.2444,30.5454],[-91.246,30.5395],[-91.2588,30.5294],[-91.2811,30.5189],[-91.2848,30.5158],[-91.2843,30.5098],[-91.28,30.5052],[-91.2684,30.5047],[-91.2503,30.5097],[-91.2094,30.5229],[-91.201,30.5178],[-91.1973,30.5073],[-91.196,30.4396],[-91.1997,30.42],[-91.2152,30.3939],[-91.2338,30.3757],[-91.2412,30.362],[-91.2418,30.3579],[-91.236,30.3446],[-91.2307,30.3414],[-91.2228,30.3409],[-91.2042,30.3454],[-91.1873,30.3468],[-91.1619,30.3421],[-91.1508,30.3375],[-91.145,30.3315],[-91.1419,30.3237],[-91.3144,30.3246],[-91.3202,30.3443],[-91.3371,30.3526],[-91.3714,30.3874],[-91.3947,30.3956],[-91.3947,30.4094],[-91.4127,30.4322],[-91.4143,30.4318],[-91.4524,30.4743],[-91.4535,30.4753],[-91.4604,30.4707],[-91.4853,30.4972],[-91.4815,30.4972],[-91.4821,30.5114],[-91.4147,30.5118],[-91.4152,30.5191],[-91.4147,30.5255],[-91.4147,30.5406],[-91.4078,30.5406],[-91.4056,30.5557],[-91.4009,30.5621],[-91.3993,30.569],[-91.3977,30.569],[-91.3945,30.569],[-91.3648,30.5689],[-91.3653,30.579],[-91.3653,30.5845],[-91.3653,30.5877],[-91.3631,30.59],[-91.3498,30.6041],[-91.3355,30.616],[-91.3201,30.6329],[-91.3174,30.637],[-91.312,30.6484],[-91.3338,30.6539],[-91.3312,30.6585],[-91.3051,30.6529]]]},\"properties\":{\"name\":\"West Baton Rouge\",\"state\":\"LA\"}}]}","contact":"Director, Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
3535 S. Sherwood Forest Blvd., Suite 120,
Baton Rouge, LA 70816
The City of San Antonio and the surrounding municipalities in Bexar County, Texas, are among the fastest growing cities in the Nation. Increases in residential and commercial development are changing runoff patterns and likely will increase chemical loads into streams. The U.S. Geological Survey, in cooperation with the San Antonio River Authority, evaluated the concentrations and distributional patterns of selected “compounds of emerging concern” (CECs) by collecting and analyzing water-quality samples from 20 sites in the San Antonio River Basin, Tex., during 2011–12. On the basis of their chemical composition or similar uses, the CECs discussed in this fact sheet are wastewater compounds, pharmaceutical compounds (hereinafter referred to as “pharmaceuticals”), and steroidal hormone and sterol compounds (hereinafter referred to as “steroidal hormones and sterols”). Three synoptic sampling events were completed during 2011–12 to analyze for CECs in the San Antonio River Basin. Samples were analyzed for 54 wastewater compounds, 13 pharmaceuticals, 17 steroidal hormones, and 4 sterols. Overall, the concentrations of all CECs analyzed for during this study were low, generally close to or less than the laboratory reporting level.
Director, Texas Water Science Center
U.S. Geological Survey
1505 Ferguson Lane
Austin, Texas 78754–4501
Using a geology-based assessment methodology, the U.S. Geological Survey assessed technically recoverable mean resources of 20 billion barrels of oil and 16 trillion cubic feet of gas in the Wolfcamp shale in the Midland Basin part of the Permian Basin Province, Texas.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163092","usgsCitation":"Gaswirth, S.B., Marra, K.R., Lillis, P.G., Mercier, T.J., Leathers-Miller, H.M., Schenk, C.J., Klett, T.R., Le, P.A., Tennyson, M.E., Hawkins, S.J., Brownfield, M.E., Pitman, J.K., and Finn, T.M., 2016, Assessment of undiscovered continuous oil resources in the Wolfcamp shale of the Midland Basin, Permian Basin Province, Texas, 2016: U.S. Geological Survey Fact Sheet 2016–3092, 4 p., https://doi.org/10.3133/fs20163092.","productDescription":"4 p.","onlineOnly":"N","ipdsId":"IP-080336","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":438509,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9B1VZNJ","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project - Permian Basin Province, Midland Basin, Wolfcamp Shale Assessment Unit Boundaries and Assessment Input Data Forms, Version 2.0"},{"id":438508,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F72B8W5Q","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project-Permian Basin Province, Midland Basin, Wolfcamp Shale Assessment Units"},{"id":330961,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3092/coverthb.jpg"},{"id":330962,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3092/fs20163092.pdf","text":"Report","size":"804 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016-3092"}],"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,\n 30.5\n ],\n [\n -103,\n 33.8\n ],\n [\n -100,\n 33.8\n ],\n [\n -100,\n 30.5\n ],\n [\n -103,\n 30.5\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver Federal Center
Denver, CO 80225-0046
Beryllium is a lightweight metallic element used in a wide variety of specialty and industrial applications. As a function of its unique chemical and physical properties, such as a high stiffness-to-weight ratio, resistance to temperature extremes, and high thermal conductivity, beryllium cannot be easily replaced by substitute materials in applications where combinations of these properties make it the material of choice. Because the number of beryllium producers is limited and the use of substitute materials in specific defense-related applications that are vital to national security is inadequate, several studies have categorized beryllium as a critical and strategic material. This categorization has led to the United States Government recommending that beryllium be stockpiled for use in the event of a national emergency. As of December 31, 2015, the National Defense Stockpile inventory of hot-pressed beryllium metal powder, structured beryllium metal powder, and vacuum-cast beryllium metal totaled 78 metric tons (t).
The U.S. Geological Survey (USGS) Mineral Resources Program supports research on the occurrence, quality, quantity, and availability of mineral resources vital to the economy and national security. The USGS, through its National Minerals Information Center (NMIC), collects, analyzes, and disseminates information on more than 90 nonfuel mineral commodities from more than 180 countries. This fact sheet provides information on the production, consumption, supply chain, geology, and resource availability of beryllium in a global context.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163081","usgsCitation":"Lederer, G.W., Foley, N.K., Jaskula, B.W., and Ayuso, R.A., 2016, Beryllium—A critical mineral commodity—Resources, production, and supply chain: U.S. Geological Survey Fact Sheet 2016–3081, 4 p., https://dx.doi.org/10.3133/fs20163081.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","ipdsId":"IP-077851","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":330523,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3081/coverthb3.jpg"},{"id":330524,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3081/fs20163081.pdf","text":"Report","size":"339 KB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016-3081"}],"contact":"Director, National Minerals Information Center
U.S. Geological Survey
12201 Sunrise Valley Drive
988 National Center
Reston, VA 20192
Email: nmicrecordsmgt@usgs.gov
Or visit the USGS Minerals Information Web site at: http://minerals.usgs.gov/minerals
","tableOfContents":"Using a geology-based assessment methodology, the U.S. Geological Survey estimated mean continuous resources of 12 billion barrels of oil and 75 trillion cubic feet of gas in the Bazhenov Formation of the West Siberian Basin Province, Russia.
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U.S. Geological Survey
Box 25046, MS-939
Denver Federal Center
Denver, CO 80225-0046
Using a geology-based assessment methodology, the U.S. Geological Survey estimated mean undiscovered, technically recoverable continuous resources that total 464 million barrels of oil and 4.08 trillion cubic feet of gas in the Lower Mississippian Sunbury Shale and Middle Devonian–Lower Mississippian Chattanooga Shale of the Appalachian Basin Province.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163085","usgsCitation":"Higley, D.K., Rouse, W.A., Enomoto, C.B., Trippi, M.H., Klett, T.R., Mercier, T.J., Brownfield, M.E., Tennyson, M.E., Drake, R.M., II, Finn, T.M., Gianoutsos, N.J., Pearson, O.N., Doolan, Colin, Le, P.A., and Schenk, C.J., Assessment of undiscovered oil and gas resources of the Mississippian Sunbury shale and Devonian–Mississippian Chattanooga shale in the Appalachian Basin Province, 2016: U.S. Geological Survey Fact Sheet 2016–3085, 2 p., https://dx.doi.org/10.3133/fs20163085.","productDescription":"2 p.","onlineOnly":"N","ipdsId":"IP-076996","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":438511,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BLVVQ2","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project - Sunbury and Chattanooga Shales Assessment Unit Boundaries and Assessment Input Forms"},{"id":330779,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3085/fs20163085.pdf","text":"Report","size":"382 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016-3085"},{"id":330778,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3085/coverthb.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 -82.705078125,\n 41.44272637767212\n ],\n [\n -83.3642578125,\n 38.634036452919226\n ],\n [\n -86.7919921875,\n 34.994003757575776\n ],\n [\n -87.60498046875,\n 32.36140331527543\n ],\n [\n -87.01171875,\n 32.0639555946604\n ],\n [\n -85.45166015624999,\n 33.94335994657882\n ],\n [\n -84.22119140625,\n 35.38904996691167\n ],\n [\n -81.5185546875,\n 36.59788913307022\n ],\n [\n -79.27734374999999,\n 37.70120736474139\n ],\n [\n -79.12353515625,\n 42.68243539838623\n ],\n [\n -82.705078125,\n 41.44272637767212\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver Federal Center
Denver, CO 80225-0046
http://energy.usgs.gov
Infrastructure—the physical framework of transportation, energy, communications, water supply, and other systems—and construction management—the overall planning, coordination, and control of a project from beginning to end—are critical to the Nation’s prosperity. The American Society of Civil Engineers has warned that, despite the importance of the Nation’s infrastructure, it is in fair to poor condition and needs sizable and urgent investments to maintain and modernize it, and to ensure that it is sustainable and resilient.
Three-dimensional (3D) light detection and ranging (lidar) elevation data provide valuable productivity, safety, and cost-saving benefits to infrastructure improvement projects and associated construction management. By providing data to users, the 3D Elevation Program (3DEP) of the U.S. Geological Survey reduces users’ costs and risks and allows them to concentrate on their mission objectives. 3DEP includes (1) data acquisition partnerships that leverage funding, (2) contracts with experienced private mapping firms, (3) technical expertise, lidar data standards, and specifications, and (4) most important, public access to high-quality 3D elevation data.
The size and breadth of improvements for the Nation’s infrastructure and construction management needs call for an efficient, systematic approach to acquiring foundational 3D elevation data. The 3DEP approach to national data coverage will yield large cost savings over individual project-by-project acquisitions and will ensure that data are accessible for other critical applications.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163093","usgsCitation":"Lukas, Vicki, and Carswell, W.J., Jr., 2016, The 3D Elevation Program and America's infrastructure: U.S. Geological Survey Fact Sheet 2016–3093, 2 p., https://dx.doi.org/10.3133/fs20163093.","productDescription":"2 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-077294","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":330670,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3093/fs20163093.pdf","text":"Report","size":"425 KB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016-3093"},{"id":330669,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3093/coverthb.jpg"}],"contact":"Director, National Geospatial Program
U.S. Geological Survey
511 National Center
12201 Sunrise Valley Drive
Reston, VA 20192
Email: 3DEP@usgs.gov
http://www.usgs.gov/ngpo/
http://nationalmap.gov/3DEP/
Using a geology-based assessment methodology, the U.S. Geological Survey assessed mean undiscovered, technically recoverable resources of 121 million barrels of oil and 212 billion cubic feet of gas in the Lusitanian Basin Province, Portugal.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163086","usgsCitation":"Schenk, C.J., Tennyson, M.E., Klett, T.R., Finn, T.M., Mercier, T.J., Gaswirth, S.B., Marra, K.R., Le, P.A., Hawkins, S.J., Leathers-Miller, H.M., and Paxton, S.T., 2016, Assessment of undiscovered oil and gas resources of the Lusitanian Basin Province, Portugal, 2016: U.S. Geological Survey Fact Sheet 2016–3086, 2 p., https://dx.doi.org/10.3133/fs20163086.\n","productDescription":"2 p.","onlineOnly":"N","ipdsId":"IP-075915","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":330672,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3086/fs20163086.pdf","text":"Report","size":"296 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016-3086"},{"id":330671,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3086/coverthb.jpg"}],"country":"Portugal","otherGeospatial":"Lusitanian Basin Province","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -10.6,\n 38\n ],\n [\n -10.6,\n 40.5\n ],\n [\n -8.0,\n 40.5\n ],\n [\n -8.0,\n 38\n ],\n [\n -10.6,\n 38\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver Federal Center
Denver, CO 80225-0046
http://energy.usgs.gov
The closure of Glen Canyon Dam in 1963 resulted in drastic changes to water clarity, temperature, and flow of the Colorado River in Glen, Marble, and Grand Canyons. The Colorado River is now much clearer, water temperature is less variable throughout the year, and the river is much colder in the summer months. The flow—regulated by the dam—is now less variable annually, but has larger daily fluctuations than during pre-dam times. All of these changes have resulted in a different fish community and different food resources for fish than existed before the dam was built. Recent monitoring of water clarity, by measuring turbidity, has helped scientists and river managers understand modern water-clarity patterns in the dam-regulated Colorado River. These data were then used to estimate pre-dam turbidity in the Colorado River in order to make comparisons of pre-dam and dam-regulated conditions, which are useful for assessing biological changes in the river over time. Prior to dam construction, the large sediment load resulted in low water clarity almost all of the time, a condition which was more favorable for the native fish community.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163053","usgsCitation":"Voichick, N., Kennedy, T.A., Topping, D.J., Griffiths, R.E., and Fry, K.L., 2016, Water clarity of the Colorado River—Implications for food webs and fish communities: U.S. Geological Survey Fact Sheet 2016–5053, 4 p., https://dx.doi.org/10.3133/fs20163053.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"Y","ipdsId":"IP-067865","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":330598,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3053/fs20163053.pdf","text":"Report","size":"1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016-3053"},{"id":330597,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3053/coverthb.jpg"}],"country":"United States","state":"Arizona, California, Colorado, Nevada Utah, New Mexico","otherGeospatial":"Colorado River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.52392578125,\n 39.87601941962116\n ],\n [\n -104.62280273437499,\n 39.06184913429154\n ],\n [\n -106.226806640625,\n 38.487994609214795\n ],\n [\n -107.962646484375,\n 38.039438891821746\n ],\n [\n -108.06152343749999,\n 37.31775185163688\n ],\n [\n -108.6328125,\n 36.359374956015856\n ],\n [\n -109.16015624999999,\n 35.24561909420681\n ],\n [\n -109.127197265625,\n 32.90726224488304\n ],\n [\n -109.13818359375,\n 31.484893386890164\n ],\n [\n -111.126708984375,\n 31.316101383495624\n ],\n [\n -114.80712890625,\n 32.47269502206151\n ],\n [\n -114.697265625,\n 32.731840896865684\n ],\n [\n -114.93896484374999,\n 34.415973384481866\n ],\n [\n -114.97192382812499,\n 35.594785665487244\n ],\n [\n -114.78515624999999,\n 36.85325222344018\n ],\n [\n -114.32373046875,\n 37.49229399862877\n ],\n [\n -113.477783203125,\n 37.49229399862877\n ],\n [\n -112.19238281249999,\n 37.60552821745789\n ],\n [\n -111.236572265625,\n 38.09998264736481\n ],\n [\n -110.0830078125,\n 38.7283759182398\n ],\n [\n -109.281005859375,\n 39.554883059924016\n ],\n [\n -108.182373046875,\n 39.9434364619742\n ],\n [\n -106.3916015625,\n 39.93501296038254\n ],\n [\n -104.52392578125,\n 39.87601941962116\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"GCMRC Staff, Southwest Biological Science Center
U.S. Geological Survey
Grand Canyon Monitoring and Research Center
2255 N. Gemini Drive
Flagstaff, AZ 86001
http://www.gcmrc.gov/
Healthy aquatic ecosystems are home to a diversity of plants, invertebrates, fish and wildlife. Aquatic animal populations face unprecedented threats to their health and survival from climate change, water shortages, habitat alteration, invasive species and environmental contaminants. These environmental stressors can directly impact the prevalence and severity of disease in aquatic populations. For example, periodic fish kills in the upper Chesapeake Bay Watershed are associated with many different opportunistic pathogens that proliferate in stressed fish populations. An estimated 80 percent of endangered juvenile Puget Sound steelhead trout die within two weeks of entering the marine environment, and a role for disease in these losses is being investigated. The introduction of viral hemorrhagic septicemia virus (VHSV) into the Great Lakes—a fishery worth an estimated 7 billion dollars annually—resulted in widespread fish die-offs and virus detections in 28 different fish species. Millions of dying sea stars along the west coast of North America have led to investigations into sea star wasting disease. U.S. Geological Survey (USGS) scientists are assisting managers with these issues through ecological investigations of aquatic animal diseases, field surveillance, and research to promote the development of mitigation strategies.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163091","usgsCitation":"Purcell, M.K., and Harris, M.C., 2016, Science to support aquatic animal health: U.S. Geological Survey Fact Sheet 2016-3091, 2 p., https://dx.doi.org/10.3133/fs20163091.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-078523","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":329709,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3091/fs20163091.pdf","text":"Report","size":"2.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016-3091"},{"id":329708,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3091/coverthb.jpg"}],"contact":"M. Camille Harris
USGS Wildlife Disease Coordinator
703-648-4019 mcharris@usgs.gov
Cynthia S. Kolar
Invasive Species Program Coordinator
703-648-4023 ckolar@usgs.gov
U.S. Geological Survey (USGS) scientists have completed an assessment of the mineral-resource potential of nearly 10 million acres of Federal and adjacent lands in Idaho, Montana, Nevada, Oregon, Utah, and Wyoming. The assessment of these lands, identified as Sagebrush Focal Areas, was done at the request of the Bureau of Land Management. The assessment results will be used in the decision-making process that the Department of the Interior is pursuing toward the protection of large areas of contiguous sagebrush habitat for the greater sage-grouse (Centrocercus urophasianus) in the Western United States. The detailed results of this ambitious study are published in the five volumes of USGS Scientific Investigations Report 2016–5089 and seven accompanying data releases.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163074","usgsCitation":"Frank, D.G., Frost, T.P., Day, W.C., and the USGS SaMiRA team, 2016, U.S. Geological Survey mineral-resource assessment of Sagebrush Focal Areas in the Western United States: U.S. Geological Survey Fact Sheet 2016–3074, 4 p., https://dx.doi.org/10.3133/fs20163074.","productDescription":"4 p.","onlineOnly":"Y","ipdsId":"IP-078129","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":329275,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/sir20165089","text":"Scientific Investigations Report 2016-5089","linkHelpText":"Mineral resources of the Sagebrush Focal Areas of Idaho, Montana, Nevada, Oregon, Utah, and 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\"}}]}","contact":"Contact Information, Mineral Resources Program
U.S. Geological Survey
12201 Sunrise Valley Drive
913 National Center
Reston, VA 20192
http://minerals.usgs.gov/
Groundwater provides more than 40 percent of California’s drinking water. To protect this vital resource, the State of California established the Groundwater Ambient Monitoring and Assessment (GAMA) Program. The Priority Basin Project of the GAMA Program provides a comprehensive assessment of the State’s groundwater quality and increases public access to groundwater-quality information. The Santa Barbara Coastal Plain is one of the study units.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163058","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Davis, T.A., and Belitz, Kenneth, 2016, Groundwater Quality in the Santa Barbara Coastal Plain, California: U.S. Geological Survey Fact Sheet 2016-3058, 4 p., https://dx.doi.org/10.3133/fs20163058.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","ipdsId":"IP-057260","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":329225,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3058/coverthb.jpg"},{"id":329226,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3058/fs20163058.pdf","text":"Report","size":"2.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016-3058"}],"country":"United States","state":"California","otherGeospatial":"Santa Barbara Study Unit","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.91645812988283,\n 34.35137289731883\n ],\n [\n -119.91645812988283,\n 34.51560953848204\n ],\n [\n -119.42481994628906,\n 34.51560953848204\n ],\n [\n -119.42481994628906,\n 34.35137289731883\n ],\n [\n -119.91645812988283,\n 34.35137289731883\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Technical reports and hydrologic data collected for the GAMA Program may be obtained from
GAMA Project Chief
U.S. Geological Survey
California Water Science Center
6000 J Street, Placer Hall
Sacramento, CA 95819
Telephone number: (916) 278-3100
WEB: http://ca.water.usgs.gov/gama
GAMA Program Unit Chief
State Water Resources Control Board
Division of Water Quality
PO Box 2231, Sacramento, CA 95812
Telephone number: (916) 341-5779
WEB:http://www.waterboards.ca.gov/gama
The Wildfire Sciences Team at the U.S. Geological Survey’s Earth Resources Observation and Science Center produces vegetation type, vegetation structure, and fuel products for the United States, primarily through the Landscape Fire and Resource Management Planning Tools (LANDFIRE) program. LANDFIRE products are used across disciplines for a variety of applications. The LANDFIRE data retain their currency and relevancy through periodic updating or remapping. These updating and remapping efforts provide opportunities to improve the LANDFIRE product suite by incorporating data from other sources. Light detection and ranging (lidar) is uniquely suitable for gathering information on vegetation structure and spatial arrangement because it can collect data in three dimensions. The Wildfire Sciences Team has several completed and ongoing studies focused on integrating lidar into vegetation and fuels mapping.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20153086","usgsCitation":"Peterson, B.E., and Nelson, K.J., 2016, Enhanced canopy fuel mapping by integrating lidar data: U.S. Geological Survey Fact Sheet 2015–3086, 2 p., https://dx.doi.org/10.3133/fs20153086.","productDescription":"2 p.","onlineOnly":"N","ipdsId":"IP-057944","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":328868,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2015/3086/coverthb.jpg"},{"id":328869,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2015/3086/fs20153086.pdf","text":"Fact Sheet","size":"1.05 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Fact Sheet 2015–3086"}],"contact":"Fire Science Team Lead
Earth Resources Observation and Science (EROS) Center
U.S. Geological Survey
47194 252nd Street
Sioux Falls, SD 57198
The Land Processes Distributed Active Archive Center (LP DAAC) operates as a partnership with the U.S. Geological Survey and is 1 of 12 DAACs within the National Aeronautics and Space Administration (NASA) Earth Observing System Data and Information System (EOSDIS). The LP DAAC ingests, archives, processes, and distributes NASA Earth science remote sensing data. These data are provided to the public at no charge. Data distributed by the LP DAAC provide information about Earth’s surface from daily to yearly intervals and at 15 to 5,600 meter spatial resolution. Data provided by the LP DAAC can be used to study changes in agriculture, vegetation, ecosystems, elevation, and much more. The LP DAAC provides several ways to access, process, and interact with these data. In addition, the LP DAAC is actively archiving new datasets to provide users with a variety of data to study the Earth.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163070","collaboration":"Prepared in cooperation with the National Aeronautics and Space Administration","usgsCitation":"Golon, D.K., 2016, The Land Processes Distributed Active Archive Center (LP DAAC): U.S. Geological Survey Fact Sheet 2016–3070, 2 p., https://dx.doi.org/10.3133/fs20163070.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":329073,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3070/fs20163070.pdf","text":"Fact Sheet","size":"11.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016–3070"},{"id":329072,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3070/coverthb.jpg"}],"contact":"Director, Earth Resources Observation and Science (EROS) Center
U.S. Geological Survey
47914 252nd Street
Sioux Falls, SD 57198
Bridge-scour equations presented in the Federal Highway Administration Hydraulic Engineering Circular No. 18 reflect the current state-of-the practice for predicting scour at bridges. Although these laboratory-derived equations provide an important resource for assessing scour potential, there is a measure of uncertainty when applying these equations to field conditions. The uncertainty and limitations have been acknowledged by laboratory researchers and confirmed in field investigations.
Because of the uncertainty associated with bridge-scour equations, HEC-18 recommends that engineers evaluate the computed scour depths obtained from the equations and modify the resulting data if they appear unreasonable. Perhaps the best way to evaluate the reasonableness of predicted scour is to compare it to field measurements of historic scour. Historic field data show scour depths resulting from high flows and provide a reference for evaluating predicted scour. It is rare, however, that such data are available at or near a site of interest, making the evaluation of predicted scour as compared to field data difficult if not impossible. Realizing the value of historic scour measurements, the U.S. Geological Survey (USGS), in cooperation with the South Carolina Department of Transportation (SCDOT), conducted a series of three field investigations to collect historic scour data with the goal of understanding regional trends of scour at riverine bridges in South Carolina.
Historic scour measurements, including measurements of clear-water abutment, contraction, and pier scour, as well as live-bed contraction and pier scour, were made at more than 200 bridges. These field investigations provided valuable insights into regional scour trends and yielded regional bridge-scour envelope curves that can be used as supplementary tools for assessing all components of scour at riverine bridges in South Carolina.
The application and limitations of these envelope curves were documented in four reports. Because each report addresses different components of bridge scour, it was recognized that there was a need to develop an integrated procedure for applying the envelope curves to help assess scour potential at riverine bridges in South Carolina. The result of that effort is detailed in Benedict and others (2016) and summarized in this fact sheet.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163065","collaboration":"Prepared in cooperation with the South Carolina Department of Transportation","usgsCitation":"Benedict, S.T., Feaster, T.D., and Caldwell, A.W., 2016, Assessing potential scour using the South Carolina bridge-scour envelope curves: U.S. Geological Survey Fact Sheet 2016-3065, 2 p., https://dx.doi.org/10.3133/fs20163065.","productDescription":"2 p. 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U.S. Geological Survey
720 Gracern Road, Suite 129
Columbia, SC 29210
http://sc.water.usgs.gov/
The Souris River Basin is a 61,000 square kilometer basin in the provinces of Saskatchewan and Manitoba and the state of North Dakota. Record setting rains in May and June of 2011 led to record flooding with peak annual streamflow values (762 cubic meters per second [m3/s]) more than twice that of any previously recorded peak streamflow and more than five times the estimated 100 year postregulation streamflow (142 m3/s) at the U.S. Geological Survey (USGS) streamflow-gaging station above Minot, North Dakota. Upstream from Minot, N. Dak., the Souris River is regulated by three reservoirs in Saskatchewan (Rafferty, Boundary, and Alameda) and Lake Darling in North Dakota. During the 2011 flood, the city of Minot, N. Dak., experienced devastating damages with more than 4,000 homes flooded and 11,000 evacuated. As a result, the Souris River Basin Task Force recommended the U.S. Geological Survey (in cooperation with the North Dakota State Water Commission) develop a model for estimating the probabilities of future flooding and drought. The model that was developed took on four parts: (1) looking at past climate, (2) predicting future climate, (3) developing a streamflow model in response to certain climatic variables, and (4) combining future climate estimates with the streamflow model to predict future streamflow events. By taking into consideration historical climate record and trends in basin response to various climatic conditions, it was determined flood risk will remain high in the Souris River Basin until the wet climate state ends.
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U.S. Geological Survey
821 East Interstate Ave.
Bismarck, North Dakota 58503
The U.S. Geological Survey (USGS) conducts Asian carp research focused on early detection, risk assessment, and development of control tools and strategies. The goals are to prevent the establishment of invasive Asian carp in the Great Lakes and to reduce their impacts in the Ohio River and Mississippi River Basins and elsewhere. Managers can use the information, tools, and strategies for early detection of Asian carp and to control them when their presence is first evident. New detection and control tools are designed to accommodate expansion to other invasive species and application in geographically diverse areas.
This USGS focus complements goals of the Great Lakes Restoration Initiative (GLRI), a multi-agency collaboration started in 2010 to protect and restore the Great Lakes. As a member of the Asian Carp Regional Coordinating Committee, which guides Asian carp efforts, the USGS works closely with Federal and State agencies, Canada, and others to address high-priority Asian carp issues and provide science to inform management decisions.
The USGS has gained extensive knowledge of Asian carp biology and life history over the past 30 years. That knowledge guides the design, development, and application of control strategies, and is essential for developing approaches in line with modern principles and practices of integrated pest management (IPM). IPM is a process used to solve pest problems while minimizing risks to people and the environment.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163063","usgsCitation":"Kolar, C.S., and Morrison, S.S., 2016, USGS science and technology help managers battle invading Asian carp: U.S. Geological Survey Fact Sheet 2016-3063, 4 p., https:/dx.doi.org/10.3133/fs20163063.","productDescription":"4 p.","ipdsId":"IP-077431","costCenters":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"links":[{"id":329024,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3063/fs20163063.pdf","text":"Report","size":"2.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016-3063"},{"id":329023,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3063/coverthb.jpg"}],"contact":"Ecosystems Mission Area
http://www.usgs.gov/ecosystems/
The city of Sioux Falls is the fastest growing community in South Dakota. In response to this continued growth and planning for future development, Sioux Falls requires a sustainable supply of municipal water. Planning and managing sustainable groundwater supplies requires a thorough understanding of local groundwater resources. The Big Sioux aquifer consists of glacial outwash sands and gravels and is hydraulically connected to the Big Sioux River, which provided about 90 percent of the city’s source-water production in 2015. Managing sustainable groundwater supplies also requires an understanding of groundwater availability. An effective mechanism to inform water management decisions is the development and utilization of a groundwater-flow model. A groundwater-flow model provides a quantitative framework for synthesizing field information and conceptualizing hydrogeologic processes. These groundwater-flow models can support decision making processes by mapping and characterizing the aquifer. Accordingly, the city of Sioux Falls partnered with the U.S. Geological Survey to construct a groundwater-flow model. Model inputs will include data from advanced geophysical techniques, specifically airborne electromagnetic methods.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163075","collaboration":"Prepared in cooperation with the City of Sioux Falls","usgsCitation":"Valder, J.F., Delzer, G.C., Carter, J.M., Smith, B.D., and Smith, D.V., 2016, Construction of a groundwater-flow model for the Big Sioux aquifer using airborne electromagnetic methods, Sioux Falls, South Dakota: U.S. Geological Survey Fact Sheet 2016–3075, 4 p., https://dx.doi.org/10.3133/fs20163075.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","ipdsId":"IP-079092","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":328947,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3075/fs20163075.pdf","text":"Fact Sheet","size":"4.74 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016–3075"},{"id":328946,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3075/coverthb.jpg"}],"country":"United States","state":"South Dakota","city":"Sioux Falls","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.79023742675781,\n 43.56098868633536\n ],\n [\n -96.79023742675781,\n 43.823133635349556\n ],\n [\n -96.69136047363281,\n 43.823133635349556\n ],\n [\n -96.69136047363281,\n 43.56098868633536\n ],\n [\n -96.79023742675781,\n 43.56098868633536\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, South Dakota Water Science Center
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Resource nationalism encompasses a broad range of political and economic actions taken by Governments to regulate the extraction of natural resources within their borders. Policies such as increased tariffs or export restrictions can have far-reaching economic effects on international trade. As the Governments of several developing countries consider enacting nationalistic policies, an examination of the 2014 mineral export ban in Indonesia provides an instructive example of the possible impacts of resource nationalism. Significant changes in the production and trade of unprocessed (that is, ores and concentrates) and processed (that is, refined metal) aluminum, copper, and nickel before and after the export ban form the basis of this study.
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","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163072","usgsCitation":"Lederer, G.W., 2016, Resource nationalism in Indonesia—Effects of the 2014 mineral export ban: U.S. Geological Survey Fact Sheet 2016-3072, 6 p., https://dx.doi.org/10.3133/fs20163072.","productDescription":"6 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-077240","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":328797,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3072/fs20163072.pdf","text":"Report","size":"302 KB","description":"FS 2016-3072"},{"id":328796,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3072/coverthb.jpg"}],"geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n 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U.S. Geological Survey
12201 Sunrise Valley Drive
988 National Center
Reston, VA 20192
Email: nmicrecordsmgt@usgs.gov
Or visit the USGS Minerals Information Web site at: http://minerals.usgs.gov/minerals/
","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2016-09-27","noUsgsAuthors":false,"publicationDate":"2016-09-27","publicationStatus":"PW","scienceBaseUri":"57f7c63be4b0bc0bec09c84c","contributors":{"authors":[{"text":"Lederer, Graham W. glederer@usgs.gov","contributorId":174731,"corporation":false,"usgs":true,"family":"Lederer","given":"Graham W.","email":"glederer@usgs.gov","affiliations":[],"preferred":false,"id":649129,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70171381,"text":"fs20163034 - 2016 - U.S. Geological Survey Mineral Resources Program—Mineral resource science supporting informed decisionmaking","interactions":[],"lastModifiedDate":"2016-09-20T09:38:52","indexId":"fs20163034","displayToPublicDate":"2016-09-19T17:50:00","publicationYear":"2016","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":"2016-3034","title":"U.S. Geological Survey Mineral Resources Program—Mineral resource science supporting informed decisionmaking","docAbstract":"The USGS Mineral Resources Program (MRP) delivers unbiased science and information to increase understanding of mineral resource potential, production, and consumption, and how mineral resources interact with the environment. The MRP is the Federal Government’s sole source for this mineral resource science and information. Program goals are to (1) increase understanding of mineral resource formation, (2) provide mineral resource inventories and assessments, (3) broaden knowledge of the effects of mineral resources on the environment and society, and (4) provide analysis on the availability and reliability of mineral supplies.
Mineral Resources Program Coordinator
U.S. Geological Survey
913 National Center
12201 Sunrise Valley Drive
Reston, VA 20192
Phone: 703-648-6100
Email: minerals@usgs.gov
Or visit the USGS Mineral Resources Program Web site at http://minerals.usgs.gov
","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2016-09-19","noUsgsAuthors":false,"publicationDate":"2016-09-19","publicationStatus":"PW","scienceBaseUri":"57f7c63de4b0bc0bec09c88a","contributors":{"authors":[{"text":"Wilkins, Aleeza 0000-0003-4356-153X awilkins@usgs.gov","orcid":"https://orcid.org/0000-0003-4356-153X","contributorId":169720,"corporation":false,"usgs":true,"family":"Wilkins","given":"Aleeza","email":"awilkins@usgs.gov","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":630822,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doebrich, Jeff L. 0009-0009-3427-0985 jdoebric@usgs.gov","orcid":"https://orcid.org/0009-0009-3427-0985","contributorId":288,"corporation":false,"usgs":true,"family":"Doebrich","given":"Jeff","email":"jdoebric@usgs.gov","middleInitial":"L.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":648432,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70176206,"text":"fs20163067 - 2016 - Renewable energy and wildlife conservation","interactions":[],"lastModifiedDate":"2016-09-12T09:27:06","indexId":"fs20163067","displayToPublicDate":"2016-09-09T00:00:00","publicationYear":"2016","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":"2016-3067","title":"Renewable energy and wildlife conservation","docAbstract":"The renewable energy sector is rapidly expanding and diversifying the power supply of the country. Yet, as our Nation works to advance renewable energy and to conserve wildlife, some conflicts arise. To address these challenges, the U.S. Geological Survey (USGS) is conducting innovative research and developing workable solutions to reduce impacts of renewable energy production on wildlife.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163067","usgsCitation":"Khalil, Mona, 2016, Renewable energy and wildlife conservation: U.S. Geological Survey Fact Sheet 2016-3067, 4 p., https://dx.doi.org/10.3133/fs20163067.","productDescription":"4 p.","numberOfPages":"4","ipdsId":"IP-078364","costCenters":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"links":[{"id":328450,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3067/coverthb.jpg"},{"id":328451,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3067/fs20163067.pdf","text":"Report","size":"3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016-3067"}],"contact":"USGS Energy and Wildlife Program
https://www2.usgs.gov/ecosystems/
energy_wildlife