{"pageNumber":"572","pageRowStart":"14275","pageSize":"25","recordCount":46856,"records":[{"id":70047615,"text":"70047615 - 2013 - An automated cross-correlation based event detection technique and its application to surface passive data set","interactions":[],"lastModifiedDate":"2013-08-15T08:05:45","indexId":"70047615","displayToPublicDate":"2013-08-15T08:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1806,"text":"Geophysical Prospecting","active":true,"publicationSubtype":{"id":10}},"title":"An automated cross-correlation based event detection technique and its application to surface passive data set","docAbstract":"In studies on heavy oil, shale reservoirs, tight gas and enhanced geothermal systems, the use of surface passive seismic data to monitor induced microseismicity due to the fluid flow in the subsurface is becoming more common. However, in most studies passive seismic records contain days and months of data and manually analysing the data can be expensive and inaccurate. Moreover, in the presence of noise, detecting the arrival of weak microseismic events becomes challenging. Hence, the use of an automated, accurate and computationally fast technique for event detection in passive seismic data is essential. The conventional automatic event identification algorithm computes a running-window energy ratio of the short-term average to the long-term average of the passive seismic data for each trace. We show that for the common case of a low signal-to-noise ratio in surface passive records, the conventional method is not sufficiently effective at event identification. Here, we extend the conventional algorithm by introducing a technique that is based on the cross-correlation of the energy ratios computed by the conventional method. With our technique we can measure the similarities amongst the computed energy ratios at different traces. Our approach is successful at improving the detectability of events with a low signal-to-noise ratio that are not detectable with the conventional algorithm. Also, our algorithm has the advantage to identify if an event is common to all stations (a regional event) or to a limited number of stations (a local event). We provide examples of applying our technique to synthetic data and a field surface passive data set recorded at a geothermal site.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Prospecting","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/1365-2478.12033","usgsCitation":"Forghani-Arani, F., Behura, J., Haines, S.S., and Batzle, M., 2013, An automated cross-correlation based event detection technique and its application to surface passive data set: Geophysical Prospecting, v. 61, no. 4, p. 778-787, https://doi.org/10.1111/1365-2478.12033.","productDescription":"10 p.","startPage":"778","endPage":"787","ipdsId":"IP-030871","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":276621,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276615,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/1365-2478.12033"}],"volume":"61","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-02-27","publicationStatus":"PW","scienceBaseUri":"520dea4fe4b08494c3cb05a7","contributors":{"authors":[{"text":"Forghani-Arani, Farnoush","contributorId":7588,"corporation":false,"usgs":true,"family":"Forghani-Arani","given":"Farnoush","affiliations":[],"preferred":false,"id":482537,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Behura, Jyoti","contributorId":103948,"corporation":false,"usgs":true,"family":"Behura","given":"Jyoti","affiliations":[],"preferred":false,"id":482539,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haines, Seth S. 0000-0003-2611-8165 shaines@usgs.gov","orcid":"https://orcid.org/0000-0003-2611-8165","contributorId":1344,"corporation":false,"usgs":true,"family":"Haines","given":"Seth","email":"shaines@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":482536,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Batzle, Mike","contributorId":102766,"corporation":false,"usgs":true,"family":"Batzle","given":"Mike","affiliations":[],"preferred":false,"id":482538,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70118578,"text":"70118578 - 2013 - Modeling volcano growth on the Island of Hawaii: Deep-water perspectives","interactions":[],"lastModifiedDate":"2020-10-06T00:40:02.381038","indexId":"70118578","displayToPublicDate":"2013-08-14T13:02:10","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Modeling volcano growth on the Island of Hawaii: Deep-water perspectives","docAbstract":"Recent ocean-bottom geophysical surveys, dredging, and dives, which complement surface data and scientific drilling at the Island of Hawaii, document that evolutionary stages during volcano growth are more diverse than previously described. Based on combining available composition, isotopic age, and geologically constrained volume data for each of the component volcanoes, this overview provides the first integrated models for overall growth of any Hawaiian island. In contrast to prior morphologic models for volcano evolution (preshield, shield, postshield), growth increasingly can be tracked by age and volume (magma supply), defining waxing alkalic, sustained tholeiitic, and waning alkalic stages. Data and estimates for individual volcanoes are used to model changing magma supply during successive compositional stages, to place limits on volcano life spans, and to interpret composite assembly of the island. Volcano volumes vary by an order of magnitude; peak magma supply also varies sizably among edifices but is challenging to quantify because of uncertainty about volcano life spans. Three alternative models are compared: (1) near-constant volcano propagation, (2) near-equal volcano durations, (3) high peak-tholeiite magma supply. These models define inconsistencies with prior geodynamic models, indicate that composite growth at Hawaii peaked ca. 800–400 ka, and demonstrate a lower current rate. Recent age determinations for Kilauea and Kohala define a volcano propagation rate of 8.6 cm/yr that yields plausible inception ages for other volcanoes of the Kea trend. In contrast, a similar propagation rate for the less-constrained Loa trend would require inception of Loihi Seamount in the future and ages that become implausibly large for the older volcanoes. An alternative rate of 10.6 cm/yr for Loa-trend volcanoes is reasonably consistent with ages and volcano spacing, but younger Loa volcanoes are offset from the Kea trend in age-distance plots. Variable magma flux at the Island of Hawaii, and longer-term growth of the Hawaiian chain as discrete islands rather than a continuous ridge, may record pulsed magma flow in the hotspot/plume source.","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES00935.1","usgsCitation":"Lipman, P.W., and Calvert, A.T., 2013, Modeling volcano growth on the Island of Hawaii: Deep-water perspectives: Geosphere, v. 9, no. 5, p. 1348-1383, https://doi.org/10.1130/GES00935.1.","productDescription":"36 p.","startPage":"1348","endPage":"1383","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":473597,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00935.1","text":"Publisher Index Page"},{"id":291318,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.55679321289062,\n 20.128155311797183\n ],\n [\n -155.58425903320312,\n 20.117839630491634\n ],\n [\n -155.64056396484375,\n 20.153941536577403\n ],\n [\n -155.65841674804688,\n 20.168122145270342\n ],\n [\n -155.68862915039062,\n 20.179723502765153\n ],\n [\n -155.73394775390625,\n 20.204212422008773\n ],\n [\n -155.73394775390625,\n 20.218388457307814\n ],\n [\n -155.78475952148438,\n 20.246736652244206\n ],\n [\n -155.84381103515625,\n 20.267350272759373\n ],\n [\n -155.88363647460938,\n 20.260908810382347\n ],\n [\n -155.89874267578125,\n 20.235140288260343\n ],\n [\n -155.90423583984375,\n 20.188746184002486\n ],\n [\n -155.88912963867188,\n 20.13202351682182\n ],\n [\n -155.86441040039062,\n 20.075280256655788\n ],\n [\n -155.82733154296875,\n 20.024967917222785\n ],\n [\n -155.8355712890625,\n 19.975930144520376\n ],\n [\n -155.85479736328125,\n 19.96173215025814\n ],\n [\n -155.8905029296875,\n 19.916548215192815\n ],\n [\n -155.92483520507812,\n 19.864893620513147\n ],\n [\n -155.9193420410156,\n 19.846810534206607\n ],\n [\n -155.96328735351562,\n 19.85456068070104\n ],\n [\n -155.98388671875,\n 19.840351789728015\n ],\n [\n -156.00448608398438,\n 19.806762085139233\n ],\n [\n -156.03744506835938,\n 19.782211275967995\n ],\n [\n -156.06353759765625,\n 19.74214657023644\n ],\n [\n -156.05117797851562,\n 19.69560719557702\n ],\n [\n -156.03057861328125,\n 19.669746136891618\n ],\n [\n -156.0333251953125,\n 19.642587534013046\n ],\n [\n -155.9962463378906,\n 19.6348270888747\n ],\n [\n -155.96603393554685,\n 19.563672215812247\n ],\n [\n -155.93994140625,\n 19.47565549591158\n ],\n [\n -155.91659545898438,\n 19.40831630217017\n ],\n [\n -155.88638305664062,\n 19.343540769982056\n ],\n [\n -155.88775634765622,\n 19.29299799768025\n ],\n [\n -155.906982421875,\n 19.204834816311973\n ],\n [\n -155.92071533203125,\n 19.129599439736836\n ],\n [\n -155.90560913085938,\n 19.076395122079923\n ],\n [\n -155.8795166015625,\n 19.028366797457245\n ],\n [\n -155.82046508789062,\n 19.01408542665422\n ],\n [\n -155.797119140625,\n 19.008891896701762\n ],\n [\n -155.7586669921875,\n 18.971233956586723\n ],\n [\n -155.72708129882812,\n 18.966039089744722\n ],\n [\n -155.687255859375,\n 18.93876338396899\n ],\n [\n -155.68588256835938,\n 18.903688072314996\n ],\n [\n -155.64193725585938,\n 18.930969506456258\n ],\n [\n -155.61721801757812,\n 18.968636543402212\n ],\n [\n -155.59661865234375,\n 18.972532648000133\n ],\n [\n -155.59249877929688,\n 18.994608853186378\n ],\n [\n -155.58013916015625,\n 19.024471999857905\n ],\n [\n -155.55404663085938,\n 19.046541312042145\n ],\n [\n -155.555419921875,\n 19.071203541262225\n ],\n [\n -155.5499267578125,\n 19.08158654022563\n ],\n [\n -155.53619384765625,\n 19.08288436934017\n ],\n [\n -155.50735473632812,\n 19.130896892173755\n ],\n [\n -155.44967651367188,\n 19.147762846204802\n ],\n [\n -155.41122436523438,\n 19.18538068428797\n ],\n [\n -155.34530639648438,\n 19.216506191361127\n ],\n [\n -155.33157348632812,\n 19.233363381183896\n ],\n [\n -155.30410766601562,\n 19.24762580585514\n ],\n [\n -155.28076171875,\n 19.2657761898775\n ],\n [\n -155.23818969726562,\n 19.268368937880687\n ],\n [\n -155.1983642578125,\n 19.257997699830604\n ],\n [\n -155.17089843749997,\n 19.26188699098167\n ],\n [\n -155.13107299804688,\n 19.276146935787747\n ],\n [\n -155.07614135742185,\n 19.307255233641797\n ],\n [\n -154.962158203125,\n 19.35779359620928\n ],\n [\n -154.87289428710938,\n 19.427743935948932\n ],\n [\n -154.80560302734375,\n 19.49248592618279\n ],\n [\n -154.80560302734375,\n 19.519669847423703\n ],\n [\n -154.82070922851562,\n 19.53261296541841\n ],\n [\n -154.88662719726562,\n 19.56108417332036\n ],\n [\n -154.92645263671875,\n 19.589550355127216\n ],\n [\n -154.94705200195312,\n 19.6037815593266\n ],\n [\n -154.94430541992188,\n 19.623185718036478\n ],\n [\n -154.96902465820312,\n 19.629653250428277\n ],\n [\n -154.98138427734375,\n 19.643880905066716\n ],\n [\n -154.98275756835935,\n 19.674918682626934\n ],\n [\n -154.9786376953125,\n 19.693021277630727\n ],\n [\n -154.99649047851562,\n 19.72922032546947\n ],\n [\n -155.02120971679688,\n 19.73697619787738\n ],\n [\n -155.04318237304688,\n 19.73697619787738\n ],\n [\n -155.06927490234375,\n 19.72146407652849\n ],\n [\n -155.08575439453125,\n 19.72534224805787\n ],\n [\n -155.08712768554688,\n 19.780919023255173\n ],\n [\n -155.08987426757812,\n 19.815806165386956\n ],\n [\n -155.08163452148438,\n 19.841643559642943\n ],\n [\n -155.08987426757812,\n 19.85843561200688\n ],\n [\n -155.1104736328125,\n 19.877808848505918\n ],\n [\n -155.13519287109375,\n 19.91267470522604\n ],\n [\n -155.18325805664062,\n 19.947532877989353\n ],\n [\n -155.2093505859375,\n 19.968185942489765\n ],\n [\n -155.24642944335938,\n 19.997869983765433\n ],\n [\n -155.27252197265625,\n 20.014645445341365\n ],\n [\n -155.31784057617188,\n 20.030128899024707\n ],\n [\n -155.3741455078125,\n 20.059801254410598\n ],\n [\n -155.43457031249997,\n 20.0933371611593\n ],\n [\n -155.4949951171875,\n 20.111391984160917\n ],\n [\n -155.55679321289062,\n 20.128155311797183\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f276e4b0bc0bec0a03c3","contributors":{"authors":[{"text":"Lipman, Peter W. 0000-0001-9175-6118 plipman@usgs.gov","orcid":"https://orcid.org/0000-0001-9175-6118","contributorId":3486,"corporation":false,"usgs":true,"family":"Lipman","given":"Peter","email":"plipman@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":5079,"text":"Pacific Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":497081,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Calvert, Andrew T. 0000-0001-5237-2218 acalvert@usgs.gov","orcid":"https://orcid.org/0000-0001-5237-2218","contributorId":2694,"corporation":false,"usgs":true,"family":"Calvert","given":"Andrew","email":"acalvert@usgs.gov","middleInitial":"T.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":497080,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70047602,"text":"70047602 - 2013 - Assessment of regional change in nitrate concentrations in groundwater in the Central Valley, California, USA, 1950s-2000s","interactions":[],"lastModifiedDate":"2018-09-13T14:29:27","indexId":"70047602","displayToPublicDate":"2013-08-14T09:38:20","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1534,"text":"Environmental Earth Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of regional change in nitrate concentrations in groundwater in the Central Valley, California, USA, 1950s-2000s","docAbstract":"A regional assessment of multi-decadal changes in nitrate concentrations was done using historical data and a spatially stratified non-biased approach. Data were stratified into physiographic subregions on the basis of geomorphology and soils data to represent zones of historical recharge and discharge patterns in the basin. Data were also stratified by depth to represent a shallow zone generally representing domestic drinking-water supplies and a deep zone generally representing public drinking-water supplies. These stratifications were designed to characterize the regional extent of groundwater with common redox and age characteristics, two factors expected to influence changes in nitrate concentrations over time. Overall, increasing trends in nitrate concentrations and the proportion of nitrate concentrations above 5 mg/L were observed in the east fans subregion of the Central Valley. Whereas the west fans subregion has elevated nitrate concentrations, temporal trends were not detected, likely due to the heterogeneous nature of the water quality in this area and geologic sources of nitrate, combined with sparse and uneven data coverage. Generally low nitrate concentrations in the basin subregion are consistent with reduced geochemical conditions resulting from low permeability soils and higher organic content, reflecting the distal portions of alluvial fans and historical groundwater discharge areas. Very small increases in the shallow aquifer in the basin subregion may reflect downgradient movement of high nitrate groundwater from adjacent areas or overlying intensive agricultural inputs. Because of the general lack of regionally extensive long-term monitoring networks, the results from this study highlight the importance of placing studies of trends in water quality into regional context. Earlier work concluded that nitrate concentrations were steadily increasing over time in the eastern San Joaquin Valley, but clearly those trends do not apply to other physiographic subregions within the Central Valley, even where land use and climate are similar.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Earth Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s12665-012-2082-4","usgsCitation":"Burow, K.R., Jurgens, B., Belitz, K., and Dubrovsky, N.M., 2013, Assessment of regional change in nitrate concentrations in groundwater in the Central Valley, California, USA, 1950s-2000s: Environmental Earth Sciences, v. 69, no. 8, p. 2609-2621, https://doi.org/10.1007/s12665-012-2082-4.","productDescription":"13 p.","startPage":"2609","endPage":"2621","ipdsId":"IP-036857","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":276591,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s12665-012-2082-4"},{"id":276594,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.78,35.07 ], [ -122.78,40.74 ], [ -118.8,40.74 ], [ -118.8,35.07 ], [ -122.78,35.07 ] ] ] } } ] }","volume":"69","issue":"8","noUsgsAuthors":false,"publicationDate":"2012-11-04","publicationStatus":"PW","scienceBaseUri":"520c98d2e4b081fa6136d3c2","contributors":{"authors":[{"text":"Burow, Karen R. 0000-0001-6006-6667 krburow@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-6667","contributorId":1504,"corporation":false,"usgs":true,"family":"Burow","given":"Karen","email":"krburow@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482504,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jurgens, Bryant C. 0000-0002-1572-113X","orcid":"https://orcid.org/0000-0002-1572-113X","contributorId":22454,"corporation":false,"usgs":true,"family":"Jurgens","given":"Bryant C.","affiliations":[],"preferred":false,"id":482506,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":482503,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dubrovsky, Neil M. 0000-0001-7786-1149 nmdubrov@usgs.gov","orcid":"https://orcid.org/0000-0001-7786-1149","contributorId":1799,"corporation":false,"usgs":true,"family":"Dubrovsky","given":"Neil","email":"nmdubrov@usgs.gov","middleInitial":"M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482505,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70047588,"text":"70047588 - 2013 - Importance of the National Petroleum Reserve-Alaska for aquatic birds","interactions":[],"lastModifiedDate":"2013-12-09T11:39:56","indexId":"70047588","displayToPublicDate":"2013-08-13T13:01:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Importance of the National Petroleum Reserve-Alaska for aquatic birds","docAbstract":"We used data from aerial surveys (1992–2010) of >100,000 km2 and ground surveys (1998–2004) of >150 km2 to estimate the density and abundance of birds on the North Slope of Alaska (U.S.A.). In the ground surveys, we used double sampling to estimate detection ratios. We used the aerial survey data to compare densities of birds and Arctic fox (Vulpes lagopus), the major nest predator of birds, on the North Slope, in Prudhoe Bay, and in nearby areas. We partitioned the Prudhoe Bay oil field into 2 × 2 km plots and determined the relation between density of aquatic birds and density of roads, buildings, and other infrastructure in these plots. Abundance and density (birds per square kilometer) of 3 groups of aquatic birds—waterfowl, loons, and grebes; shorebirds; and gulls, terns, and jaegers—were highest in the National Petroleum Reserve–Alaska (NPRA) and lowest in the Arctic National Wildlife Refuge. Six other major wetlands occur in the Arctic regions of Canada and Russia, but the largest population of aquatic birds was in the NPRA. Aquatic birds were concentrated in the northern part of the NPRA. For example, an area that covered 18% of the NPRA included 53% of its aquatic birds. The aerial surveys showed that bird density was not lower and fox density was not higher in Prudhoe Bay than in surrounding areas. Density of infrastructure did not significantly affect bird density for any group of species. Our results establish that the NPRA is one of the most important areas for aquatic birds in the Arctic. Our results and those of others also indicate that oil production, as practiced in Prudhoe Bay, does not necessarily lead to substantial declines in bird density or productivity in or near the developed areas.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Conservation Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/cobi.12133","usgsCitation":"Bart, J., Platte, R.M., Andres, B., Brown, S., Johnson, J., and Larned, W., 2013, Importance of the National Petroleum Reserve-Alaska for aquatic birds: Conservation Biology, v. 27, no. 6, p. 1304-1312, https://doi.org/10.1111/cobi.12133.","productDescription":"9 p.","startPage":"1304","endPage":"1312","ipdsId":"IP-048834","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":276565,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/cobi.12133"},{"id":276576,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"National Petroleum Reserve","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.45,51.21 ], [ 172.45,71.39 ], [ -129.99,71.39 ], [ -129.99,51.21 ], [ 172.45,51.21 ] ] ] } } ] }","volume":"27","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-08-12","publicationStatus":"PW","scienceBaseUri":"520b81ede4b0d6ca46067da8","contributors":{"authors":[{"text":"Bart, Jonathan jon_bart@usgs.gov","contributorId":57025,"corporation":false,"usgs":true,"family":"Bart","given":"Jonathan","email":"jon_bart@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":false,"id":482471,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Platte, Robert M.","contributorId":43263,"corporation":false,"usgs":true,"family":"Platte","given":"Robert","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":482470,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andres, Brad","contributorId":19053,"corporation":false,"usgs":true,"family":"Andres","given":"Brad","affiliations":[],"preferred":false,"id":482468,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Stephen","contributorId":40096,"corporation":false,"usgs":true,"family":"Brown","given":"Stephen","affiliations":[],"preferred":false,"id":482469,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, James A.","contributorId":84649,"corporation":false,"usgs":true,"family":"Johnson","given":"James A.","affiliations":[],"preferred":false,"id":482472,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Larned, William","contributorId":106001,"corporation":false,"usgs":true,"family":"Larned","given":"William","affiliations":[],"preferred":false,"id":482473,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70047596,"text":"sir20135139 - 2013 - Relation between organic-wastewater compounds, groundwater geochemistry, and well characteristics for selected wells in Lansing, Michigan","interactions":[],"lastModifiedDate":"2013-08-13T13:04:22","indexId":"sir20135139","displayToPublicDate":"2013-08-13T12:57:00","publicationYear":"2013","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":"2013-5139","title":"Relation between organic-wastewater compounds, groundwater geochemistry, and well characteristics for selected wells in Lansing, Michigan","docAbstract":"In 2010, groundwater from 20 Lansing Board of Water and Light (BWL) production wells was tested for 69 organic-wastewater compounds (OWCs). The OWCs detected in one-half of the sampled wells are widely used in industrial and environmental applications and commonly occur in many wastes and stormwater. To identify factors that contribute to the occurrence of these constituents in BWL wells, the U.S. Geological Survey (USGS) interpreted the results of these analyses and related detections of OWCs to local characteristics and groundwater geochemistry.\n\nAnalysis of groundwater-chemistry data collected by the BWL during routine monitoring from 1969 to 2011 indicates that the geochemistry of the BWL wells has changed over time, with the major difference being an increase in sodium and chloride. The concentrations of sodium and chloride were positively correlated to frequency of OWC detections. The BWL wells studied are all completed in the Saginaw aquifer, which consists of water-bearing sandstones of Pennsylvanian age. The Saginaw aquifer is underlain by the Parma-Bayport aquifer, and overlain by the Glacial aquifer. Two possible sources of sodium and chloride were evaluated: basin brines by way of the Parma-Bayport aquifer, and surficial sources by way of the Glacial aquifer. To determine if water from the underlying aquifer had influenced well-water geochemistry over time, the total dissolved solids concentration and changes in major ion concentrations were examined with respect to well depth, age, and pumping rate. To address a possible surficial source of sodium and chloride, 25 well, aquifer, or hydrologic characteristics, and 2 groundwater geochemistry variables that might influence whether, or the rate at which, water from the land surface could reach each well were compared to OWC detections and well chemistry.\n\nThe statistical tests performed during this study, using available variables, indicated that reduced time of travel of water from the land surface to the well opening was significantly correlated with detections of OWCs. No specific well or aquifer characteristic was correlated with OWC detections; however, wells with detections tended to have less modeled confining material thickness (as simulated in the regional groundwater flow model), which is an estimate of the amount of clay or shale between the Glacial and Saginaw aquifers. Additional analyses and collection of other data would be required to more conclusively identify the source and to determine the potential vulnerability of other wells because each BWL well may have a somewhat unique set of characteristics that governs its response to pumping. Therefore, it is possible that a relevant explanatory variable was not included in this analysis. The current patterns of geochemistry, and the relation between these patterns and volume of pumpage for the BWL wells, indicates other wells may be susceptible to OWCs in the future.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135139","collaboration":"Prepared in cooperation with the Tri-County Regional Planning Commission","usgsCitation":"Haack, S.K., and Luukkonen, C.L., 2013, Relation between organic-wastewater compounds, groundwater geochemistry, and well characteristics for selected wells in Lansing, Michigan: U.S. Geological Survey Scientific Investigations Report 2013-5139, v, 36 p., https://doi.org/10.3133/sir20135139.","productDescription":"v, 36 p.","numberOfPages":"46","onlineOnly":"Y","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":276575,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135139.png"},{"id":276573,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5139/"},{"id":276574,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5139/pdf/sir2013-5139_web.pdf"}],"country":"United States","state":"Michigan","county":"Clinton County;Eaton County;Ingham County","city":"Lansing","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.701274,42.647483 ], [ -84.701274,42.76988 ], [ -84.417581,42.76988 ], [ -84.417581,42.647483 ], [ -84.701274,42.647483 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"520b81efe4b0d6ca46067db8","contributors":{"authors":[{"text":"Haack, Sheridan K. skhaack@usgs.gov","contributorId":1982,"corporation":false,"usgs":true,"family":"Haack","given":"Sheridan","email":"skhaack@usgs.gov","middleInitial":"K.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482478,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Luukkonen, Carol L. clluukko@usgs.gov","contributorId":3489,"corporation":false,"usgs":true,"family":"Luukkonen","given":"Carol","email":"clluukko@usgs.gov","middleInitial":"L.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482479,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70047594,"text":"ofr20131181 - 2013 - Integrating seismic-reflection and sequence-stratigraphic methods to characterize the hydrogeology of the Floridan aquifer system in southeast Florida","interactions":[],"lastModifiedDate":"2013-08-13T12:46:48","indexId":"ofr20131181","displayToPublicDate":"2013-08-13T12:44:00","publicationYear":"2013","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":"2013-1181","title":"Integrating seismic-reflection and sequence-stratigraphic methods to characterize the hydrogeology of the Floridan aquifer system in southeast Florida","docAbstract":"The Floridan aquifer system (FAS) is receiving increased attention as a result of regulatory restrictions on water-supply withdrawals and treated wastewater management practices. The South Florida Water Management District’s Regional Water Availability Rule, adopted in 2007, restricts urban withdrawals from the shallower Biscayne aquifer to pre-April 2006 levels throughout southeast Florida. Legislation adopted by the State of Florida requires elimination of ocean outfalls of treated wastewater by 2025. These restrictions have necessitated the use of the more deeply buried FAS as an alternate water resource to meet projected water-supply shortfalls, and as a repository for the disposal of wastewater via Class I deep injection wells and injection of reclaimed water. Some resource managers in Broward County have expressed concern regarding the viability of the FAS as an alternative water supply due to a lack of technical data and information regarding its long-term sustainability.\n\nSustainable development and management of the FAS for water supply is uncertain because of the potential risk posed by structural geologic anomalies (faults, fractures, and karst collapse structures) and knowledge gaps in the stratigraphy of the system. The integration of seismic-reflection and borehole data into an improved geologic and hydrogeologic framework will provide a better understanding of the structural and stratigraphic features that influence groundwater flow and contaminant transport.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131181","collaboration":"Prepared in Cooperation with Broward County Natural Resources Planning and Management Division","usgsCitation":"Cunningham, K.J., 2013, Integrating seismic-reflection and sequence-stratigraphic methods to characterize the hydrogeology of the Floridan aquifer system in southeast Florida: U.S. Geological Survey Open-File Report 2013-1181, 8 p., https://doi.org/10.3133/ofr20131181.","productDescription":"8 p.","numberOfPages":"8","onlineOnly":"Y","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":276571,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131181.png"},{"id":276569,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1181/"},{"id":276570,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1181/pdf/ofr2013-1181.pdf"}],"country":"United States","state":"Florida","county":"Broward County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.339626,25.862948 ], [ -80.339626,26.348128 ], [ -80.055788,26.348128 ], [ -80.055788,25.862948 ], [ -80.339626,25.862948 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"520b81eee4b0d6ca46067db0","contributors":{"authors":[{"text":"Cunningham, Kevin J. 0000-0002-2179-8686 kcunning@usgs.gov","orcid":"https://orcid.org/0000-0002-2179-8686","contributorId":1689,"corporation":false,"usgs":true,"family":"Cunningham","given":"Kevin","email":"kcunning@usgs.gov","middleInitial":"J.","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":482477,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70047593,"text":"sir20133035 - 2013 - New service interface for River Forecasting Center derived quantitative precipitation estimates","interactions":[],"lastModifiedDate":"2013-08-13T13:26:21","indexId":"sir20133035","displayToPublicDate":"2013-08-13T12:41:00","publicationYear":"2013","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":"2013-3035","title":"New service interface for River Forecasting Center derived quantitative precipitation estimates","docAbstract":"For more than a decade, the National Weather Service (NWS) River Forecast Centers (RFCs) have been estimating spatially distributed rainfall by applying quality-control procedures to radar-indicated rainfall estimates in the eastern United States and other best practices in the western United States to producea national Quantitative Precipitation Estimate (QPE) (National Weather Service, 2013). The availability of archives of QPE information for analytical purposes has been limited to manual requests for access to raw binary file formats that are difficult for scientists who are not in the climatic sciences to work with. The NWS provided the QPE archives to the U.S. Geological Survey (USGS), and the contents of the real-time feed from the RFCs are being saved by the USGS for incorporation into the archives. The USGS has applied time-series aggregation and added latitude-longitude coordinate variables to publish the RFC QPE data. Web services provide users with direct (index-based) data access, rendered visualizations of the data, and resampled raster representations of the source data in common geographic information formats.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20133035","usgsCitation":"Blodgett, D.L., 2013, New service interface for River Forecasting Center derived quantitative precipitation estimates: U.S. Geological Survey Fact Sheet 2013-3035, 2 p., https://doi.org/10.3133/sir20133035.","productDescription":"2 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":276568,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":276566,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3035/"},{"id":276567,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3035/pdf/fs2013-3035.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"520b81eee4b0d6ca46067db4","contributors":{"authors":[{"text":"Blodgett, David L. 0000-0001-9489-1710 dblodgett@usgs.gov","orcid":"https://orcid.org/0000-0001-9489-1710","contributorId":3868,"corporation":false,"usgs":true,"family":"Blodgett","given":"David","email":"dblodgett@usgs.gov","middleInitial":"L.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":482476,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70047546,"text":"70047546 - 2013 - Trends in concentrations of nitrate and total dissolved solids in public supply wells of the Bunker Hill, Lytle, Rialto, and Colton groundwater subbasins, San Bernardino County, California: Influence of legacy land use","interactions":[],"lastModifiedDate":"2018-06-04T14:42:11","indexId":"70047546","displayToPublicDate":"2013-08-11T17:56:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Trends in concentrations of nitrate and total dissolved solids in public supply wells of the Bunker Hill, Lytle, Rialto, and Colton groundwater subbasins, San Bernardino County, California: Influence of legacy land use","docAbstract":"Concentrations and temporal changes in concentrations of nitrate and total dissolved solids (TDS) in groundwater of the Bunker Hill, Lytle, Rialto, and Colton groundwater subbasins of the Upper Santa Ana Valley Groundwater Basin were evaluated to identify trends and factors that may be affecting trends. One hundred, thirty-one public-supply wells were selected for analysis based on the availability of data spanning at least 11 years between the late 1980s and the 2000s.\n\nForty-one of the 131 wells (31%) had a significant (p < 0.10) increase in nitrate and 14 wells (11%) had a significant decrease in nitrate. For TDS, 46 wells (35%) had a significant increase and 8 wells (6%) had a significant decrease. Slopes for the observed significant trends ranged from − 0.44 to 0.91 mg/L/yr for nitrate (as N) and − 8 to 13 mg/L/yr for TDS.\n\nIncreasing nitrate trends were associated with greater well depth, higher percentage of agricultural land use, and being closer to the distal end of the flow system. Decreasing nitrate trends were associated with the occurrence of volatile organic compounds (VOCs); VOC occurrence decreases with increasing depth.\n\nThe relations of nitrate trends to depth, lateral position, and VOCs imply that increasing nitrate concentrations are associated with nitrate loading from historical agricultural land use and that more recent urban land use is generally associated with lower nitrate concentrations and greater VOC occurrence. Increasing TDS trends were associated with relatively greater current nitrate concentrations and relatively greater amounts of urban land. Decreasing TDS trends were associated with relatively greater amounts of natural land use. Trends in TDS concentrations were not related to depth, lateral position, or VOC occurrence, reflecting more complex factors affecting TDS than nitrate in the study area.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2013.02.042","usgsCitation":"Kent, R., and Landon, M.K., 2013, Trends in concentrations of nitrate and total dissolved solids in public supply wells of the Bunker Hill, Lytle, Rialto, and Colton groundwater subbasins, San Bernardino County, California: Influence of legacy land use: Science of the Total Environment, v. 452-453, p. 125-136, https://doi.org/10.1016/j.scitotenv.2013.02.042.","productDescription":"12 p.","startPage":"125","endPage":"136","ipdsId":"IP-017192","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":276290,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276289,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2013.02.042"}],"country":"United States","state":"California","county":"San Bernardino County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.8026,33.871 ], [ -117.8026,35.8093 ], [ -114.1308,35.8093 ], [ -114.1308,33.871 ], [ -117.8026,33.871 ] ] ] } } ] }","volume":"452-453","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5208a45de4b0058b906bf5b4","contributors":{"authors":[{"text":"Kent, Robert 0000-0003-4174-9467 rhkent@usgs.gov","orcid":"https://orcid.org/0000-0003-4174-9467","contributorId":1445,"corporation":false,"usgs":true,"family":"Kent","given":"Robert","email":"rhkent@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":482335,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Landon, Matthew K. 0000-0002-5766-0494 landon@usgs.gov","orcid":"https://orcid.org/0000-0002-5766-0494","contributorId":392,"corporation":false,"usgs":true,"family":"Landon","given":"Matthew","email":"landon@usgs.gov","middleInitial":"K.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482334,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70047547,"text":"70047547 - 2013 - Pre-flight calibration and initial data processing for the ChemCam laser-induced breakdown spectroscopy instrument on the Mars Science Laboratory rover","interactions":[],"lastModifiedDate":"2014-04-24T09:32:03","indexId":"70047547","displayToPublicDate":"2013-08-11T17:49:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3464,"text":"Spectrochimica Acta Part B: Atomic Spectroscopy","active":true,"publicationSubtype":{"id":10}},"title":"Pre-flight calibration and initial data processing for the ChemCam laser-induced breakdown spectroscopy instrument on the Mars Science Laboratory rover","docAbstract":"The ChemCam instrument package on the Mars Science Laboratory rover, Curiosity, is the first planetary science instrument to employ laser-induced breakdown spectroscopy (LIBS) to determine the compositions of geological samples on another planet. Pre-processing of the spectra involves subtracting the ambient light background, removing noise, removing the electron continuum, calibrating for the wavelength, correcting for the variable distance to the target, and applying a wavelength-dependent correction for the instrument response. Further processing of the data uses multivariate and univariate comparisons with a LIBS spectral library developed prior to launch as well as comparisons with several on-board standards post-landing. The level-2 data products include semi-quantitative abundances derived from partial least squares regression.\n\nA LIBS spectral library was developed using 69 rock standards in the form of pressed powder disks, glasses, and ceramics to minimize heterogeneity on the scale of the observation (350–550 μm dia.). The standards covered typical compositional ranges of igneous materials and also included sulfates, carbonates, and phyllosilicates. The provenance and elemental and mineralogical compositions of these standards are described. Spectral characteristics of this data set are presented, including the size distribution and integrated irradiances of the plasmas, and a proxy for plasma temperature as a function of distance from the instrument. Two laboratory-based clones of ChemCam reside in Los Alamos and Toulouse for the purpose of adding new spectra to the database as the need arises. Sensitivity to differences in wavelength correlation to spectral channels and spectral resolution has been investigated, indicating that spectral registration needs to be within half a pixel and resolution needs to match within 1.5 to 2.6 pixels. Absolute errors are tabulated for derived compositions of each major element in each standard using PLS regression. Sources of errors are investigated and discussed, and methods for improving the analytical accuracy of compositions derived from ChemCam spectra are discussed.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Spectrochimica Acta Part B: Atomic Spectroscopy","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.sab.2013.02.003","usgsCitation":"Wiens, R.C., Maurice, S., Lasue, J., Forni, O., Anderson, R., Clegg, S., Bender, S., Blaney, D., Barraclough, B., Cousin, A., DeFlores, L., Delapp, D., Dyar, M., Fabre, C., Gasnault, O., Lanza, N., Mazoyer, J., Melikechi, N., Meslin, P., Newsom, H., Ollila, A., Perez, R., Tokar, R., and Vaniman, D., 2013, Pre-flight calibration and initial data processing for the ChemCam laser-induced breakdown spectroscopy instrument on the Mars Science Laboratory rover: Spectrochimica Acta Part B: Atomic Spectroscopy, v. 82, p. 1-27, https://doi.org/10.1016/j.sab.2013.02.003.","productDescription":"27 p.","startPage":"1","endPage":"27","ipdsId":"IP-044322","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":473600,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.sab.2013.02.003","text":"Publisher Index Page"},{"id":276288,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276264,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.sab.2013.02.003"}],"volume":"82","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5208a45ce4b0058b906bf5b0","contributors":{"authors":[{"text":"Wiens, R. C.","contributorId":101893,"corporation":false,"usgs":false,"family":"Wiens","given":"R.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":482357,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maurice, S.","contributorId":18144,"corporation":false,"usgs":true,"family":"Maurice","given":"S.","email":"","affiliations":[],"preferred":false,"id":482337,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lasue, J.","contributorId":19856,"corporation":false,"usgs":true,"family":"Lasue","given":"J.","affiliations":[],"preferred":false,"id":482338,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Forni, O.","contributorId":102354,"corporation":false,"usgs":true,"family":"Forni","given":"O.","email":"","affiliations":[],"preferred":false,"id":482358,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, R.B.","contributorId":48693,"corporation":false,"usgs":true,"family":"Anderson","given":"R.B.","email":"","affiliations":[],"preferred":false,"id":482347,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Clegg, S.","contributorId":32728,"corporation":false,"usgs":true,"family":"Clegg","given":"S.","affiliations":[],"preferred":false,"id":482343,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bender, S.","contributorId":103038,"corporation":false,"usgs":true,"family":"Bender","given":"S.","email":"","affiliations":[],"preferred":false,"id":482359,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Blaney, D.","contributorId":72513,"corporation":false,"usgs":true,"family":"Blaney","given":"D.","email":"","affiliations":[],"preferred":false,"id":482349,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Barraclough, B.L.","contributorId":21449,"corporation":false,"usgs":true,"family":"Barraclough","given":"B.L.","email":"","affiliations":[],"preferred":false,"id":482340,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Cousin, A.","contributorId":92134,"corporation":false,"usgs":true,"family":"Cousin","given":"A.","affiliations":[],"preferred":false,"id":482353,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"DeFlores, L.","contributorId":41714,"corporation":false,"usgs":true,"family":"DeFlores","given":"L.","email":"","affiliations":[],"preferred":false,"id":482344,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Delapp, D.","contributorId":75056,"corporation":false,"usgs":true,"family":"Delapp","given":"D.","email":"","affiliations":[],"preferred":false,"id":482350,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Dyar, M.D.","contributorId":21286,"corporation":false,"usgs":true,"family":"Dyar","given":"M.D.","email":"","affiliations":[],"preferred":false,"id":482339,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Fabre, C.","contributorId":44433,"corporation":false,"usgs":true,"family":"Fabre","given":"C.","affiliations":[],"preferred":false,"id":482345,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Gasnault, O.","contributorId":31277,"corporation":false,"usgs":true,"family":"Gasnault","given":"O.","affiliations":[],"preferred":false,"id":482342,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Lanza, N.","contributorId":65372,"corporation":false,"usgs":true,"family":"Lanza","given":"N.","email":"","affiliations":[],"preferred":false,"id":482348,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Mazoyer, J.","contributorId":47281,"corporation":false,"usgs":true,"family":"Mazoyer","given":"J.","email":"","affiliations":[],"preferred":false,"id":482346,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Melikechi, N.","contributorId":90632,"corporation":false,"usgs":true,"family":"Melikechi","given":"N.","affiliations":[],"preferred":false,"id":482352,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Meslin, P.-Y.","contributorId":95351,"corporation":false,"usgs":true,"family":"Meslin","given":"P.-Y.","email":"","affiliations":[],"preferred":false,"id":482354,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Newsom, H.","contributorId":98934,"corporation":false,"usgs":true,"family":"Newsom","given":"H.","email":"","affiliations":[],"preferred":false,"id":482355,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Ollila, A.","contributorId":30119,"corporation":false,"usgs":true,"family":"Ollila","given":"A.","email":"","affiliations":[],"preferred":false,"id":482341,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Perez, R.","contributorId":99037,"corporation":false,"usgs":true,"family":"Perez","given":"R.","email":"","affiliations":[],"preferred":false,"id":482356,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Tokar, R.","contributorId":86677,"corporation":false,"usgs":true,"family":"Tokar","given":"R.","email":"","affiliations":[],"preferred":false,"id":482351,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Vaniman, D.","contributorId":16291,"corporation":false,"usgs":true,"family":"Vaniman","given":"D.","affiliations":[],"preferred":false,"id":482336,"contributorType":{"id":1,"text":"Authors"},"rank":24}]}} ,{"id":70047550,"text":"sim3261 - 2013 - California State Waters Map Series: Offshore of Carpinteria, California","interactions":[],"lastModifiedDate":"2022-04-15T21:36:17.114029","indexId":"sim3261","displayToPublicDate":"2013-08-11T16:43:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3261","title":"California State Waters Map Series: Offshore of Carpinteria, California","docAbstract":"In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within the 3-nautical-mile limit of California’s State Waters. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data, acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology.\n\nThe Offshore of Carpinteria map area lies within the central Santa Barbara Channel region of the Southern California Bight. This geologically complex region forms a major biogeographic transition zone, separating the cold-temperate Oregonian province north of Point Conception from the warm-temperate California province to the south. The map area is in the southern part of the Western Transverse Ranges geologic province, which is north of the California Continental Borderland. Significant clockwise rotation—at least 90°—since the early Miocene has been proposed for the Western Transverse Ranges province, and the region is presently undergoing north-south shortening.\n\nThe small city of Carpinteria is the most significant onshore cultural center in the map area; the smaller town of Summerland lies west of Carpinteria. These communities rest on a relatively flat coastal piedmont that is surrounded on the north, east, and west by hilly relief on the flanks of the Santa Ynez Mountains. El Estero, a salt marsh on the coast west of Carpinteria, is an ecologically important coastal estuary. Southeast of Carpinteria, the coastal zone is narrow strip containing highway and railway transportation corridors and a few small residential clusters. Rincon Point is a well-known world-class surf break, and Rincon Island, constructed for oil and gas production, lies offshore of Punta Gorda. The steep bluffs backing the coastal strip are geologically unstable, and coastal erosion problems are ongoing in the map area; most notably, landslides in 2005 struck the small coastal community of La Conchita, engulfing houses and killing ten people.\n\nThe Offshore of Carpinteria map area lies in the central part of the Santa Barbara littoral cell, whose littoral drift is to the east-southeast. Drift rates have been estimated to be about 400,000 tons/yr at Santa Barbara Harbor (about 15 km west of Carpinteria). At the east end of the littoral cell, eastward-moving sediment is trapped by Hueneme and Mugu Canyons and then transported to the deep-water Santa Monica Basin. Sediment supply to the western and central part of the littoral cell is largely from relatively small transverse coastal watersheds, which have an estimated cumulative annual sediment flux of 640,000 tons/yr. The much larger Ventura and Santa Clara Rivers, the mouths of which are about 25 to 30 km southeast of Carpinteria, yield an estimated 3.4 million tons of sediment annually, the coarser sediment load generally moving southeast, down the coast, and the finer sediment load moving both upcoast and offshore.\n\nThe offshore part of the map area consists of a relatively flat and shallow continental shelf, which dips so gently (about 0.4° to 0.5°) that water depths at the 3-nautical-mile limit of California’s State Waters are 40 to 45 m. This part of the Santa Barbara Channel is relatively well protected from large Pacific swells from the north and northwest by Point Conception and from the south and southwest by offshore islands and banks. Fair-weather wave base is typically shallower than 20-m water depth, but winter storms are capable of resuspending fine-grained sediments in 30 m of water, and so shelf sediments in the map area probably are remobilized on an annual basis. The shelf is underlain by variable amounts of upper Quaternary shelf, estuarine, and fluvial sediments that thicken to the south.\n\nSeafloor habitats in the broad Santa Barbara Channel region consist of significant amounts of soft sediment and isolated areas of rocky habitat that support kelp-forest communities nearshore and rocky-reef communities in deep water. The potential marine benthic habitat types mapped in the Offshore of Carpinteria map area are directly related to its Quaternary geologic history, geomorphology, and active sedimentary processes. These potential habitats lie within the Shelf (continental shelf) megahabitat, dominated by a flat seafloor and substrates formed from deposition of fluvial and marine sediment during sea-level rise. This fairly homogeneous seafloor provides promising habitat for groundfish, crabs, shrimp, and other marine benthic organisms. The only significant interruptions to this homogeneous habitat type are the exposures of hard, irregular, and hummocky sedimentary bedrock and coarse-grained sediment where potential habitats for rockfish and related species exist.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3261","usgsCitation":"Johnson, S.Y., Dartnell, P., Cochrane, G.R., Golden, N., Phillips, E., Ritchie, A.C., Kvitek, R.G., Greene, H., Endris, C.A., Seitz, G., Sliter, R.W., Erdey, M.D., Wong, F.L., Gutierrez, C.I., Krigsman, L., Draut, A.E., and Hart, P.E., 2013, California State Waters Map Series: Offshore of Carpinteria, California: U.S. Geological Survey Scientific Investigations Map 3261, Pamphlet: iv, 42 p.; Maps: 10 Sheets: 49.00 × 36.00 inches or smaller; Metadata; Data Catalog, https://doi.org/10.3133/sim3261.","productDescription":"Pamphlet: iv, 42 p.; Maps: 10 Sheets: 49.00 × 36.00 inches or smaller; Metadata; Data Catalog","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":276281,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3261.png"},{"id":276275,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3261/sim3261_sheet7.pdf"},{"id":276276,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3261/sim3261_sheet8.pdf"},{"id":398881,"rank":15,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_98785.htm"},{"id":276279,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3261/OffshoreCarpinteria_metadata.html"},{"id":276278,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3261/sim3261_sheet10.pdf"},{"id":276277,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3261/sim3261_sheet9.pdf"},{"id":276274,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3261/sim3261_sheet6.pdf"},{"id":276273,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3261/sim3261_sheet5.pdf"},{"id":276272,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3261/sim3261_sheet4.pdf"},{"id":276271,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3261/sim3261_sheet3.pdf"},{"id":276268,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3261/sim3261_pamphlet.pdf"},{"id":276267,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3261/"},{"id":276270,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3261/sim3261_sheet2.pdf"},{"id":276269,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3261/sim3261_sheet1.pdf"}],"scale":"24000","country":"United States","state":"California","city":"Carpinteria","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.6253,\n 34.2928\n ],\n [\n -119.25,\n 34.2928\n ],\n [\n -119.25,\n 34.4522\n ],\n [\n -119.6253,\n 34.4533\n ],\n [\n -119.6253,\n 34.2928\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5208a45be4b0058b906bf5a4","contributors":{"editors":[{"text":"Johnson, Samuel Y. 0000-0001-7972-9977 sjohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-7972-9977","contributorId":2607,"corporation":false,"usgs":true,"family":"Johnson","given":"Samuel","email":"sjohnson@usgs.gov","middleInitial":"Y.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":509559,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Cochran, Susan A.","contributorId":27533,"corporation":false,"usgs":true,"family":"Cochran","given":"Susan A.","affiliations":[],"preferred":false,"id":509560,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Johnson, Samuel Y. 0000-0001-7972-9977 sjohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-7972-9977","contributorId":2607,"corporation":false,"usgs":true,"family":"Johnson","given":"Samuel","email":"sjohnson@usgs.gov","middleInitial":"Y.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":482365,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dartnell, Peter 0000-0002-9554-729X pdartnell@usgs.gov","orcid":"https://orcid.org/0000-0002-9554-729X","contributorId":2688,"corporation":false,"usgs":true,"family":"Dartnell","given":"Peter","email":"pdartnell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":482366,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cochrane, Guy R. 0000-0002-8094-4583 gcochrane@usgs.gov","orcid":"https://orcid.org/0000-0002-8094-4583","contributorId":2870,"corporation":false,"usgs":true,"family":"Cochrane","given":"Guy","email":"gcochrane@usgs.gov","middleInitial":"R.","affiliations":[{"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}],"preferred":true,"id":482367,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Golden, Nadine E.","contributorId":58356,"corporation":false,"usgs":true,"family":"Golden","given":"Nadine E.","affiliations":[],"preferred":false,"id":482374,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Phillips, Eleyne L.","contributorId":104289,"corporation":false,"usgs":true,"family":"Phillips","given":"Eleyne L.","affiliations":[],"preferred":false,"id":482378,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ritchie, Andrew C. aritchie@usgs.gov","contributorId":4984,"corporation":false,"usgs":true,"family":"Ritchie","given":"Andrew","email":"aritchie@usgs.gov","middleInitial":"C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":482369,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kvitek, Rikk G.","contributorId":107804,"corporation":false,"usgs":true,"family":"Kvitek","given":"Rikk","email":"","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":482379,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Greene, H. Gary","contributorId":87983,"corporation":false,"usgs":true,"family":"Greene","given":"H. Gary","affiliations":[],"preferred":false,"id":482376,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Endris, Charles A.","contributorId":87824,"corporation":false,"usgs":true,"family":"Endris","given":"Charles","email":"","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":482375,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Seitz, Gordon G.","contributorId":17303,"corporation":false,"usgs":false,"family":"Seitz","given":"Gordon G.","affiliations":[{"id":7099,"text":"Calif. Geol. Survey","active":true,"usgs":false}],"preferred":false,"id":482371,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sliter, Ray W. 0000-0003-0337-3454 rsliter@usgs.gov","orcid":"https://orcid.org/0000-0003-0337-3454","contributorId":1992,"corporation":false,"usgs":true,"family":"Sliter","given":"Ray","email":"rsliter@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":482364,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Erdey, Mercedes D. merdey@usgs.gov","contributorId":5411,"corporation":false,"usgs":true,"family":"Erdey","given":"Mercedes","email":"merdey@usgs.gov","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":482370,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Wong, Florence L. 0000-0002-3918-5896 fwong@usgs.gov","orcid":"https://orcid.org/0000-0002-3918-5896","contributorId":1990,"corporation":false,"usgs":true,"family":"Wong","given":"Florence","email":"fwong@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":482363,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Gutierrez, Carlos I.","contributorId":32799,"corporation":false,"usgs":true,"family":"Gutierrez","given":"Carlos","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":482372,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Krigsman, Lisa M.","contributorId":43642,"corporation":false,"usgs":true,"family":"Krigsman","given":"Lisa M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":482373,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Draut, Amy E.","contributorId":92215,"corporation":false,"usgs":true,"family":"Draut","given":"Amy","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":482377,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Hart, Patrick E. 0000-0002-5080-1426 hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5080-1426","contributorId":2879,"corporation":false,"usgs":true,"family":"Hart","given":"Patrick","email":"hart@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":482368,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70047549,"text":"ds781 - 2013 - California State Waters Map series data catalog","interactions":[],"lastModifiedDate":"2026-05-21T13:28:02.426027","indexId":"ds781","displayToPublicDate":"2013-08-11T16:22:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"781","title":"California State Waters Map series data catalog","docAbstract":"In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within the 3-nautical-mile limit of California's State Waters. The CSMP approach is to create highly detailed seafloor maps and associated data layers through the collection, integration, interpretation, and visualization of swath sonar data, acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data.\n\nCSMP has divided coastal California into 110 map blocks (fig. 1), each to be published individually as USGS Scientific Investigations Maps (SIMs) at a scale of 1:24,000. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the seafloor geology and shallow (to about 100 m) subsurface geology.\n\nThis CSMP data catalog contains much of the data used to prepare the SIMs in the California State Waters Map Series. Other data that were used to prepare the maps were compiled from previously published sources (for example, onshore geology) and, thus, are not included herein.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds781","usgsCitation":"Golden, N.E. and Cochrane, G.R., compilers, 2013, California State Waters Map Series Data Catalog: U.S. Geological Survey Data Series 781, https://doi.org/10.3133/ds781.","productDescription":"HTML Document; Data Release","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":504569,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_98784.htm","linkFileType":{"id":5,"text":"html"}},{"id":494531,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/ds/781/versionHist.txt","linkFileType":{"id":2,"text":"txt"},"description":"Version History"},{"id":427679,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://pubs.usgs.gov/ds/781/#datacatalogs","text":"Download Data and Reports: USGS Data Series"},{"id":276266,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/ds781.png"},{"id":276265,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/781/"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.41,32.53 ], [ -124.41,42.01 ], [ -114.13,42.01 ], [ -114.13,32.53 ], [ -124.41,32.53 ] ] ] } } ] }","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2013-08-08","revisedDate":"2025-08-22","noUsgsAuthors":false,"publicationDate":"2013-08-08","publicationStatus":"PW","scienceBaseUri":"5208a44fe4b0058b906bf5a0","contributors":{"compilers":[{"text":"Golden, Nadine E. 0000-0001-6007-6486 ngolden@usgs.gov","orcid":"https://orcid.org/0000-0001-6007-6486","contributorId":146220,"corporation":false,"usgs":true,"family":"Golden","given":"Nadine","email":"ngolden@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":886957,"contributorType":{"id":3,"text":"Compilers"},"rank":1},{"text":"Cochrane, Guy R. 0000-0002-8094-4583 gcochrane@usgs.gov","orcid":"https://orcid.org/0000-0002-8094-4583","contributorId":2870,"corporation":false,"usgs":true,"family":"Cochrane","given":"Guy","email":"gcochrane@usgs.gov","middleInitial":"R.","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":886958,"contributorType":{"id":3,"text":"Compilers"},"rank":2}]}} ,{"id":70047544,"text":"sim3265 - 2013 - Estimation of reservoir storage capacity using multibeam sonar and terrestrial lidar, Randy Poynter Lake, Rockdale County, Georgia, 2012","interactions":[],"lastModifiedDate":"2017-01-13T09:46:27","indexId":"sim3265","displayToPublicDate":"2013-08-09T11:03:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3265","title":"Estimation of reservoir storage capacity using multibeam sonar and terrestrial lidar, Randy Poynter Lake, Rockdale County, Georgia, 2012","docAbstract":"The U.S. Geological Survey, in cooperation with the Rockdale County Department of Water Resources, conducted a bathymetric and topographic survey of Randy Poynter Lake in northern Georgia in 2012. The Randy Poynter Lake watershed drains surface area from Rockdale, Gwinnett, and Walton Counties. The reservoir serves as the water supply for the Conyers-Rockdale Big Haynes Impoundment Authority.\n\nThe Randy Poynter reservoir was surveyed to prepare a current bathymetric map and determine storage capacities at specified water-surface elevations. Topographic and bathymetric data were collected using a marine-based mobile mapping unit to estimate storage capacity. The marine-based mobile mapping unit operates with several components: multibeam echosounder, singlebeam echosounder, light detection and ranging system, navigation and motion-sensing system, and data acquisition computer. All data were processed and combined to develop a triangulated irregular network, a reservoir capacity table, and a bathymetric contour map.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3265","collaboration":"Prepared in cooperation with the Rockdale County Department of Water Resources","usgsCitation":"Lee, K., 2013, Estimation of reservoir storage capacity using multibeam sonar and terrestrial lidar, Randy Poynter Lake, Rockdale County, Georgia, 2012: U.S. Geological Survey Scientific Investigations Map 3265, Map: 1 Sheet: 34 x 32 inches, https://doi.org/10.3133/sim3265.","productDescription":"Map: 1 Sheet: 34 x 32 inches","onlineOnly":"Y","costCenters":[{"id":105,"text":"Alabama Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":276260,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3265.jpg"},{"id":276258,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3265/"},{"id":276259,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3265/pdf/sim3265.pdf"}],"country":"United States","state":"Georgia","county":"Rockdale County","otherGeospatial":"Randy Poynter Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.956548,33.729426 ], [ -83.956548,33.761707 ], [ -83.92808,33.761707 ], [ -83.92808,33.729426 ], [ -83.956548,33.729426 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52060151e4b08a2ec8694b00","contributors":{"authors":[{"text":"Lee, K.G.","contributorId":28319,"corporation":false,"usgs":true,"family":"Lee","given":"K.G.","email":"","affiliations":[],"preferred":false,"id":482320,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70047530,"text":"ofr20131078 - 2013 - Distribution of late Pleistocene ice-rich syngenetic permafrost of the Yedoma Suite in east and central Siberia, Russia","interactions":[],"lastModifiedDate":"2013-08-08T13:57:09","indexId":"ofr20131078","displayToPublicDate":"2013-08-08T13:31:00","publicationYear":"2013","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":"2013-1078","title":"Distribution of late Pleistocene ice-rich syngenetic permafrost of the Yedoma Suite in east and central Siberia, Russia","docAbstract":"This digital database is the product of collaboration between the U.S. Geological Survey, the Geophysical Institute at the University of Alaska, Fairbanks; the Los Altos Hills Foothill College GeoSpatial Technology Certificate Program; the Alfred Wegener Institute for Polar and Marine Research, Potsdam, Germany; and the Institute of Physical Chemical and Biological Problems in Soil Science of the Russian Academy of Sciences. The primary goal for creating this digital database is to enhance current estimates of soil organic carbon stored in deep permafrost, in particular the late Pleistocene syngenetic ice-rich permafrost deposits of the Yedoma Suite. Previous studies estimated that Yedoma deposits cover about 1 million square kilometers of a large region in central and eastern Siberia, but these estimates generally are based on maps with scales smaller than 1:10,000,000. Taking into account this large area, it was estimated that Yedoma may store as much as 500 petagrams of soil organic carbon, a large part of which is vulnerable to thaw and mobilization from thermokarst and erosion.\n\nTo refine assessments of the spatial distribution of Yedoma deposits, we digitized 11 Russian Quaternary geologic maps. Our study focused on extracting geologic units interpreted by us as late Pleistocene ice-rich syngenetic Yedoma deposits based on lithology, ground ice conditions, stratigraphy, and geomorphological and spatial association. These Yedoma units then were merged into a single data layer across map tiles. The spatial database provides a useful update of the spatial distribution of this deposit for an approximately 2.32 million square kilometers land area in Siberia that will (1) serve as a core database for future refinements of Yedoma distribution in additional regions, and (2) provide a starting point to revise the size of deep but thaw-vulnerable permafrost carbon pools in the Arctic based on surface geology and the distribution of cryolithofacies types at high spatial resolution. However, we recognize that the extent of Yedoma deposits presented in this database is not complete for a global assessment, because Yedoma deposits also occur in the Taymyr lowlands and Chukotka, and in parts of Alaska and northwestern Canada.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131078","usgsCitation":"Grosse, G., Robinson, J., Bryant, R., Taylor, M.D., Harper, W., DeMasi, A., Kyker-Snowman, E., Veremeeva, A., Schirrmeister, L., and Harden, J., 2013, Distribution of late Pleistocene ice-rich syngenetic permafrost of the Yedoma Suite in east and central Siberia, Russia: U.S. Geological Survey Open-File Report 2013-1078, v, 24 p.; Metadata; GIS data, https://doi.org/10.3133/ofr20131078.","productDescription":"v, 24 p.; Metadata; GIS data","numberOfPages":"31","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":276232,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131078.jpg"},{"id":276229,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1078/pdf/ofr20131078.pdf"},{"id":276227,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1078/"},{"id":276231,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2013/1078/ofr20131078_GIS.zip"},{"id":276230,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2013/1078/ofr20131078_metadata.txt"}],"country":"Russia","otherGeospatial":"Siberia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 57.1,42.3 ], [ 57.1,81.3 ], [ -169.0,81.3 ], [ -169.0,42.3 ], [ 57.1,42.3 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5204afd8e4b0403aa62629a6","contributors":{"authors":[{"text":"Grosse, Guido","contributorId":101475,"corporation":false,"usgs":true,"family":"Grosse","given":"Guido","affiliations":[{"id":34291,"text":"University of Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":482283,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robinson, Joel E. 0000-0002-5193-3666 jrobins@usgs.gov","orcid":"https://orcid.org/0000-0002-5193-3666","contributorId":2757,"corporation":false,"usgs":true,"family":"Robinson","given":"Joel E.","email":"jrobins@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":482275,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bryant, Robin","contributorId":43262,"corporation":false,"usgs":true,"family":"Bryant","given":"Robin","email":"","affiliations":[],"preferred":false,"id":482278,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taylor, Maxwell D.","contributorId":6360,"corporation":false,"usgs":true,"family":"Taylor","given":"Maxwell","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":482276,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harper, William","contributorId":62123,"corporation":false,"usgs":true,"family":"Harper","given":"William","email":"","affiliations":[],"preferred":false,"id":482281,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DeMasi, Amy","contributorId":28887,"corporation":false,"usgs":true,"family":"DeMasi","given":"Amy","email":"","affiliations":[],"preferred":false,"id":482277,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kyker-Snowman, Emily","contributorId":54874,"corporation":false,"usgs":true,"family":"Kyker-Snowman","given":"Emily","email":"","affiliations":[],"preferred":false,"id":482280,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Veremeeva, Alexandra","contributorId":68637,"corporation":false,"usgs":true,"family":"Veremeeva","given":"Alexandra","affiliations":[],"preferred":false,"id":482282,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schirrmeister, Lutz","contributorId":102777,"corporation":false,"usgs":true,"family":"Schirrmeister","given":"Lutz","affiliations":[],"preferred":false,"id":482284,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Harden, Jennifer","contributorId":46190,"corporation":false,"usgs":true,"family":"Harden","given":"Jennifer","affiliations":[],"preferred":false,"id":482279,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70047523,"text":"ds783 - 2013 - Locations and attributes of wind turbines in New Mexico, 2011","interactions":[],"lastModifiedDate":"2026-05-20T17:13:47.818183","indexId":"ds783","displayToPublicDate":"2013-08-08T12:50:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"783","title":"Locations and attributes of wind turbines in New Mexico, 2011","docAbstract":"This dataset represents an update to U.S. Geological Survey Data Series 596. Locations and attributes of wind turbines in New Mexico, 2009 (available at http://pubs.usgs.gov/ds/596/).This updated New Mexico wind turbine Data Series provides geospatial data for all 562 wind turbines established within the State of New Mexico as of June 2011, an increase of 155 wind turbines from 2009.\n\nAttributes specific to each turbine include: turbine location, manufacturer and model, rotor diameter, hub height, rotor height, potential megawatt output, land ownership, county, and development status of wind turbine. Wind energy facility data for each turbine include: facility name, facility power capacity, number of turbines associated with each facility to date, facility developer, facility ownership, and year the facility went online. The locations of turbines are derived from 1-meter true-color aerial photographs produced by the National Agriculture Imagery Program (NAIP); the photographs have a positional accuracy of about ±5 meters. The locations of turbines constructed during or prior to August 2009 are based on August 2009 NAIP imagery and turbine locations constructed after August 2009 were based June 2011 NAIP imagery. The location of turbines under construction during June 2011 likely will be less accurate than the location of existing turbines.\n\nThis data series contributes to an Online Interactive Energy Atlas developed by the U.S. Geological Survey (http://my.usgs.gov/eerma/). The Energy Atlas synthesizes data on existing and potential energy development in Colorado and New Mexico and includes additional natural resource data layers. This information may be used by decisionmakers to evaluate and compare the potential benefits and tradeoffs associated with different energy development strategies or scenarios. Interactive maps, downloadable data layers, comprehensive metadata, and decision-support tools also are included in the Energy Atlas. The format of the Energy Atlas is designed to facilitate the integration of information about energy with key terrestrial and aquatic resources for evaluating resource values and minimizing risks from energy development.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds783","usgsCitation":"Carr, N.B., Diffendorfer, J.B., Fancher, T.S., Hawkins, S.J., Latysh, N., Leib, K.J., and Matherne, A.M., 2013, Locations and attributes of wind turbines in New Mexico, 2011: U.S. Geological Survey Data Series 783, 3 p.; Downloads Directory, https://doi.org/10.3133/ds783.","productDescription":"Report: 3 p.; Downloads Directory","numberOfPages":"3","onlineOnly":"Y","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":504571,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_98783.htm","linkFileType":{"id":5,"text":"html"}},{"id":276219,"rank":1,"type":{"id":1,"text":"Abstract"},"url":"https://pubs.usgs.gov/ds/783/pdf/DS783_abstract-508.pdf"},{"id":276218,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/783/"},{"id":276220,"rank":2,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/783/downloads/"},{"id":276221,"rank":4,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds783.png"}],"country":"United States","state":"New Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.05,31.33 ], [ -109.05,37.0 ], [ -103.0,37.0 ], [ -103.0,31.33 ], [ -109.05,31.33 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5204afdae4b0403aa62629b2","contributors":{"authors":[{"text":"Carr, Natasha B. 0000-0002-4842-0632 carrn@usgs.gov","orcid":"https://orcid.org/0000-0002-4842-0632","contributorId":1918,"corporation":false,"usgs":true,"family":"Carr","given":"Natasha","email":"carrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":482257,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diffendorfer, James B.","contributorId":62120,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":482260,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fancher, Tammy S. 0000-0002-1318-3614 fanchert@usgs.gov","orcid":"https://orcid.org/0000-0002-1318-3614","contributorId":3788,"corporation":false,"usgs":true,"family":"Fancher","given":"Tammy","email":"fanchert@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":482258,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hawkins, Sarah J. 0000-0002-1878-9121 shawkins@usgs.gov","orcid":"https://orcid.org/0000-0002-1878-9121","contributorId":4818,"corporation":false,"usgs":true,"family":"Hawkins","given":"Sarah","email":"shawkins@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":482259,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Latysh, Natalie 0000-0003-0149-3962 nlatysh@usgs.gov","orcid":"https://orcid.org/0000-0003-0149-3962","contributorId":1356,"corporation":false,"usgs":true,"family":"Latysh","given":"Natalie","email":"nlatysh@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true},{"id":5060,"text":"Data Preservation Program","active":true,"usgs":true}],"preferred":true,"id":482256,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Leib, Kenneth J. 0000-0002-0373-0768 kjleib@usgs.gov","orcid":"https://orcid.org/0000-0002-0373-0768","contributorId":701,"corporation":false,"usgs":true,"family":"Leib","given":"Kenneth","email":"kjleib@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":482255,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Matherne, Anne Marie 0000-0002-5873-2226 matherne@usgs.gov","orcid":"https://orcid.org/0000-0002-5873-2226","contributorId":303,"corporation":false,"usgs":true,"family":"Matherne","given":"Anne","email":"matherne@usgs.gov","middleInitial":"Marie","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482254,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70047522,"text":"ds782 - 2013 - Locations and attributes of wind turbines in Colorado, 2011","interactions":[],"lastModifiedDate":"2026-05-20T17:12:02.745195","indexId":"ds782","displayToPublicDate":"2013-08-08T12:32:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"782","title":"Locations and attributes of wind turbines in Colorado, 2011","docAbstract":"This dataset represents an update to U.S. Geological Survey Data Series 597. Locations and attributes of wind turbines in Colorado, 2009 (available at http://pubs.usgs.gov/ds/597/). This updated Colorado wind turbine Data Series provides geospatial data for all 1,204 wind turbines established within the State of Colorado as of September 2011, an increase of 297 wind turbines from 2009.\n\nAttributes specific to each turbine include: turbine location, manufacturer and model, rotor diameter, hub height, rotor height, potential megawatt output, land ownership, county, and development status of the wind turbine. Wind energy facility data for each turbine include: facility name, facility power capacity, number of turbines associated with each facility to date, facility developer, facility ownership, and year the facility went online. The locations of turbines are derived from 1-meter true-color aerial photographs produced by the National Agriculture Imagery Program (NAIP); the photographs have a positional accuracy of about ±5 meters. Locations of turbines constructed during or prior to August 2009 are based on August 2009 NAIP imagery and turbine locations constructed after August 2009 were based on September 2011 NAIP imagery. The location of turbines under construction during September 2011 likely will be less accurate than the location of existing turbines.\n\nThis data series contributes to an Online Interactive Energy Atlas developed by the U.S. Geological Survey (http://my.usgs.gov/eerma/). The Energy Atlas synthesizes data on existing and potential energy development in Colorado and New Mexico and includes additional natural resource data layers. This information may be used by decisionmakers to evaluate and compare the potential benefits and tradeoffs associated with different energy development strategies or scenarios. Interactive maps, downloadable data layers, comprehensive metadata, and decision-support tools also are included in the Energy Atlas. The format of the Energy Atlas is designed to facilitate the integration of information about energy with key terrestrial and aquatic resources for evaluating resource values and minimizing risks from energy development.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds782","usgsCitation":"Carr, N.B., Diffendorfer, J., Fancher, T.S., Hawkins, S.J., Latysh, N., Leib, K.J., and Matherne, A.M., 2013, Locations and attributes of wind turbines in Colorado, 2011: U.S. Geological Survey Data Series 782, 2 p.; Downloads Directory, https://doi.org/10.3133/ds782.","productDescription":"Report: 2 p.; Downloads Directory","numberOfPages":"2","onlineOnly":"Y","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":504570,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_98782.htm","linkFileType":{"id":5,"text":"html"}},{"id":276216,"rank":2,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/782/downloads/"},{"id":276215,"rank":1,"type":{"id":1,"text":"Abstract"},"url":"https://pubs.usgs.gov/ds/782/pdf/DS782_abstract-508.pdf"},{"id":276214,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/782/"},{"id":276217,"rank":4,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds782.png"}],"country":"United States","state":"Colorado","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.06,36.99 ], [ -109.06,41.0 ], [ -102.04,41.0 ], [ -102.04,36.99 ], [ -109.06,36.99 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5204afd9e4b0403aa62629ae","contributors":{"authors":[{"text":"Carr, Natasha B. 0000-0002-4842-0632 carrn@usgs.gov","orcid":"https://orcid.org/0000-0002-4842-0632","contributorId":1918,"corporation":false,"usgs":true,"family":"Carr","given":"Natasha","email":"carrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":482250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diffendorfer, James E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":3208,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James E.","email":"jediffendorfer@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":482251,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fancher, Tammy S. 0000-0002-1318-3614 fanchert@usgs.gov","orcid":"https://orcid.org/0000-0002-1318-3614","contributorId":3788,"corporation":false,"usgs":true,"family":"Fancher","given":"Tammy","email":"fanchert@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":482252,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hawkins, Sarah J. 0000-0002-1878-9121 shawkins@usgs.gov","orcid":"https://orcid.org/0000-0002-1878-9121","contributorId":4818,"corporation":false,"usgs":true,"family":"Hawkins","given":"Sarah","email":"shawkins@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":482253,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Latysh, Natalie 0000-0003-0149-3962 nlatysh@usgs.gov","orcid":"https://orcid.org/0000-0003-0149-3962","contributorId":1356,"corporation":false,"usgs":true,"family":"Latysh","given":"Natalie","email":"nlatysh@usgs.gov","affiliations":[{"id":5060,"text":"Data Preservation Program","active":true,"usgs":true},{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":482249,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Leib, Kenneth J. 0000-0002-0373-0768 kjleib@usgs.gov","orcid":"https://orcid.org/0000-0002-0373-0768","contributorId":701,"corporation":false,"usgs":true,"family":"Leib","given":"Kenneth","email":"kjleib@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":482248,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Matherne, Anne Marie 0000-0002-5873-2226 matherne@usgs.gov","orcid":"https://orcid.org/0000-0002-5873-2226","contributorId":303,"corporation":false,"usgs":true,"family":"Matherne","given":"Anne","email":"matherne@usgs.gov","middleInitial":"Marie","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482247,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70047519,"text":"70047519 - 2013 - Using multi-species occupancy models in structured decision making on managed lands","interactions":[],"lastModifiedDate":"2013-08-08T12:20:21","indexId":"70047519","displayToPublicDate":"2013-08-08T12:12:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Using multi-species occupancy models in structured decision making on managed lands","docAbstract":"Land managers must balance the needs of a variety of species when manipulating habitats. Structured decision making provides a systematic means of defining choices and choosing among alternative management options; implementation of a structured decision requires quantitative approaches to predicting consequences of management on the relevant species. Multi-species occupancy models provide a convenient framework for making structured decisions when the management objective is focused on a collection of species. These models use replicate survey data that are often collected on managed lands. Occupancy can be modeled for each species as a function of habitat and other environmental features, and Bayesian methods allow for estimation and prediction of collective responses of groups of species to alternative scenarios of habitat management. We provide an example of this approach using data from breeding bird surveys conducted in 2008 at the Patuxent Research Refuge in Laurel, Maryland, evaluating the effects of eliminating meadow and wetland habitats on scrub-successional and woodland-breeding bird species using summed total occupancy of species as an objective function. Removal of meadows and wetlands decreased value of an objective function based on scrub-successional species by 23.3% (95% CI: 20.3–26.5), but caused only a 2% (0.5, 3.5) increase in value of an objective function based on woodland species, documenting differential effects of elimination of meadows and wetlands on these groups of breeding birds. This approach provides a useful quantitative tool for managers interested in structured decision making.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/jwmg.442","usgsCitation":"Sauer, J., Blank, P.J., Zipkin, E., Fallon, J.E., and Fallon, F.W., 2013, Using multi-species occupancy models in structured decision making on managed lands: Journal of Wildlife Management, v. 77, no. 1, p. 117-127, https://doi.org/10.1002/jwmg.442.","productDescription":"11 p.","startPage":"117","endPage":"127","numberOfPages":"11","ipdsId":"IP-037742","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":276213,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276212,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.442"}],"country":"United States","state":"Maryl","otherGeospatial":"Patuxent Research Refuge","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.832224,39.0082 ], [ -76.832224,39.092594 ], [ -76.720767,39.092594 ], [ -76.720767,39.0082 ], [ -76.832224,39.0082 ] ] ] } } ] }","volume":"77","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-08-20","publicationStatus":"PW","scienceBaseUri":"5204afdbe4b0403aa62629c6","contributors":{"authors":[{"text":"Sauer, John R. jrsauer@usgs.gov","contributorId":3737,"corporation":false,"usgs":true,"family":"Sauer","given":"John R.","email":"jrsauer@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":482237,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blank, Peter J.","contributorId":97396,"corporation":false,"usgs":true,"family":"Blank","given":"Peter","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":482241,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zipkin, Elise F.","contributorId":70528,"corporation":false,"usgs":true,"family":"Zipkin","given":"Elise F.","affiliations":[],"preferred":false,"id":482239,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fallon, Jane E. jefallon@usgs.gov","contributorId":4364,"corporation":false,"usgs":true,"family":"Fallon","given":"Jane","email":"jefallon@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":482238,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fallon, Frederick W.","contributorId":87448,"corporation":false,"usgs":true,"family":"Fallon","given":"Frederick","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":482240,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70046523,"text":"70046523 - 2013 - Impacts of an ethanol-blended fuel release on groundwater and fate of produced methane: simulation of field observations","interactions":[],"lastModifiedDate":"2019-08-06T15:12:43","indexId":"70046523","displayToPublicDate":"2013-08-07T13:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Impacts of an ethanol-blended fuel release on groundwater and fate of produced methane: simulation of field observations","docAbstract":"In a field experiment at Vandenberg Air Force Base (VAFB) designed to mimic the impact of a small-volume release of E10 (10% ethanol and 90% conventional gasoline), two plumes were created by injecting extracted groundwater spiked with benzene, toluene, and o-xylene, abbreviated BToX (No-Ethanol Lane) and BToX plus ethanol (With-Ethanol Lane) for 283 days. We developed a reactive transport model to understand processes controlling the fate of ethanol and BToX. The model was calibrated to the extensive field dataset and accounted for concentrations of sulfate, iron, acetate, and methane along with iron-reducing bacteria, sulfate-reducing bacteria, fermentative bacteria, and methanogenic archaea. The benzene plume was about 4.5 times longer in the With-Ethanol Lane than in the No-Ethanol Lane. Matching this different behavior in the two lanes required inhibiting benzene degradation in the presence of ethanol. Inclusion of iron reduction with negligible growth of iron-reducers was required to reproduce the observed constant degradation rate of benzene. Modeling suggested that vertical dispersion and diffusion of sulfate from an adjacent aquitard were important sources of sulfate in the aquifer. Matching of methane data required incorporating initial fermentation of ethanol to acetate, methane loss by outgassing, and methane oxidation coupled to sulfate and iron reduction. Simulation of microbial growth using dual Monod kinetics, and including inhibition by more favorable electron acceptors, generally resulted in reasonable yields for microbial growth of 0.01-0.05.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","doi":"10.1002/wrcr.20382","usgsCitation":"Rasa, E., Bekins, B.A., Mackay, D.M., de Sieyes, N.R., Wilson, J., Feris, K.P., Wood, I.A., and Scow, K.M., 2013, Impacts of an ethanol-blended fuel release on groundwater and fate of produced methane: simulation of field observations: Water Resources Research, v. 49, no. 8, p. 4907-4926, https://doi.org/10.1002/wrcr.20382.","productDescription":"20 p.","startPage":"4907","endPage":"4926","numberOfPages":"20","ipdsId":"IP-046344","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":473604,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarworks.boisestate.edu/bio_facpubs/375","text":"External Repository"},{"id":276756,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275502,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/wrcr.20382"}],"country":"United States","state":"California","otherGeospatial":"Vandenberg Air Force Base","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.573763,34.702001 ], [ -120.573763,34.783787 ], [ -120.455249,34.783787 ], [ -120.455249,34.702001 ], [ -120.573763,34.702001 ] ] ] } } ] }","volume":"49","issue":"8","noUsgsAuthors":false,"publicationDate":"2013-08-07","publicationStatus":"PW","scienceBaseUri":"52136e35e4b0b08f446198f8","contributors":{"authors":[{"text":"Rasa, Ehsan","contributorId":20461,"corporation":false,"usgs":true,"family":"Rasa","given":"Ehsan","email":"","affiliations":[],"preferred":false,"id":479752,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bekins, Barbara A. 0000-0002-1411-6018 babekins@usgs.gov","orcid":"https://orcid.org/0000-0002-1411-6018","contributorId":1348,"corporation":false,"usgs":true,"family":"Bekins","given":"Barbara","email":"babekins@usgs.gov","middleInitial":"A.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":479750,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mackay, Douglas M.","contributorId":22081,"corporation":false,"usgs":true,"family":"Mackay","given":"Douglas","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":479753,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"de Sieyes, Nicholas R.","contributorId":57358,"corporation":false,"usgs":true,"family":"de Sieyes","given":"Nicholas","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":479755,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wilson, John T.","contributorId":217913,"corporation":false,"usgs":false,"family":"Wilson","given":"John T.","affiliations":[],"preferred":false,"id":767798,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Feris, Kevin P.","contributorId":51188,"corporation":false,"usgs":true,"family":"Feris","given":"Kevin","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":479754,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wood, Isaac A.","contributorId":62514,"corporation":false,"usgs":true,"family":"Wood","given":"Isaac","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":479756,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Scow, Kate M.","contributorId":100519,"corporation":false,"usgs":true,"family":"Scow","given":"Kate","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":479757,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70047472,"text":"70047472 - 2013 - Simulated impacts of mountain pine beetle and wildfire disturbances on forest vegetation composition and carbon stocks in the Southern Rocky Mountains","interactions":[],"lastModifiedDate":"2013-08-07T10:38:31","indexId":"70047472","displayToPublicDate":"2013-08-07T10:26:13","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1012,"text":"Biogeosciences Discussions","active":true,"publicationSubtype":{"id":10}},"title":"Simulated impacts of mountain pine beetle and wildfire disturbances on forest vegetation composition and carbon stocks in the Southern Rocky Mountains","docAbstract":"Forests play an important role in sequestering carbon and offsetting anthropogenic greenhouse gas emissions, but changing disturbance regimes may compromise the capability of forests to store carbon. In the Southern Rocky Mountains, a recent outbreak of mountain pine beetle (Dendroctonus ponderosae; MPB) has caused levels of tree mortality that are unprecedented in recorded history. To evaluate the long-term impacts of both this insect outbreak and another characteristic disturbance in these forests, high-severity wildfire, we simulated potential changes in species composition and carbon stocks using the Forest Vegetation Simulator (FVS). Simulations were completed for 3 scenarios (no disturbance, actual MPB infestation, and modeled wildfire) using field data collected in 2010 at 97 plots in the lodgepole pine-dominated forests of eastern Grand County, Colorado, which were heavily impacted by MPB after 2002. Results of the simulations showed that (1) lodgepole pine remained dominant over time in all scenarios, with basal area recovering to pre-disturbance levels 70–80 yr after disturbance; (2) wildfire caused a greater magnitude of change than did MPB in both patterns of succession and distribution of carbon among biomass pools; (3) levels of standing-live carbon returned to pre-disturbance conditions after 40 vs. 50 yr following MPB vs. wildfire disturbance, respectively, but took 120 vs. 150 yr to converge with conditions in the undisturbed scenario. Lodgepole pine forests appear to be relatively resilient to both of the disturbances we modeled, although changes in climate, future disturbance regimes, and other factors may significantly affect future rates of regeneration and ecosystem response.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biogeosciences Discussions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"European Geosciences Union","doi":"10.5194/bgd-10-12919-2013","usgsCitation":"Caldwell, M.K., Hawbaker, T., Briggs, J.S., Cigan, P., and Stitt, S., 2013, Simulated impacts of mountain pine beetle and wildfire disturbances on forest vegetation composition and carbon stocks in the Southern Rocky Mountains: Biogeosciences Discussions, v. 10, p. 12919-12965, https://doi.org/10.5194/bgd-10-12919-2013.","productDescription":"47 p.","startPage":"12919","endPage":"12965","ipdsId":"IP-049240","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":473605,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/bgd-10-12919-2013","text":"Publisher Index Page"},{"id":276157,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276156,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5194/bgd-10-12919-2013"},{"id":276152,"type":{"id":15,"text":"Index Page"},"url":"https://www.biogeosciences-discuss.net/10/12919/2013/bgd-10-12919-2013.html"}],"otherGeospatial":"Rocky Mountains","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -127.5,29.1 ], [ -127.5,59.6 ], [ -102.4,59.6 ], [ -102.4,29.1 ], [ -127.5,29.1 ] ] ] } } ] }","volume":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5203a33fe4b02bdb1bc63f6c","contributors":{"authors":[{"text":"Caldwell, Megan K. mcaldwell@usgs.gov","contributorId":4243,"corporation":false,"usgs":true,"family":"Caldwell","given":"Megan","email":"mcaldwell@usgs.gov","middleInitial":"K.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":482132,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hawbaker, Todd 0000-0003-0930-9154 tjhawbaker@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-9154","contributorId":568,"corporation":false,"usgs":true,"family":"Hawbaker","given":"Todd","email":"tjhawbaker@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":482129,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Briggs, Jenny S. 0000-0001-7454-6928 jsbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-7454-6928","contributorId":3087,"corporation":false,"usgs":true,"family":"Briggs","given":"Jenny","email":"jsbriggs@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":482131,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cigan, P.W.","contributorId":32071,"corporation":false,"usgs":true,"family":"Cigan","given":"P.W.","email":"","affiliations":[],"preferred":false,"id":482133,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stitt, Susan susan_stitt@usgs.gov","contributorId":1410,"corporation":false,"usgs":true,"family":"Stitt","given":"Susan","email":"susan_stitt@usgs.gov","affiliations":[],"preferred":true,"id":482130,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70047457,"text":"70047457 - 2013 - Summary of the Third International Planetary Dunes Workshop: remote sensing and image analysis of planetary dunes","interactions":[],"lastModifiedDate":"2013-08-07T10:41:18","indexId":"70047457","displayToPublicDate":"2013-08-07T10:05:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":666,"text":"Aeolian Research","active":true,"publicationSubtype":{"id":10}},"title":"Summary of the Third International Planetary Dunes Workshop: remote sensing and image analysis of planetary dunes","docAbstract":"The Third International Planetary Dunes Workshop took place in Flagstaff, AZ, USA during June 12–15, 2012. This meeting brought together a diverse group of researchers to discuss recent advances in terrestrial and planetary research on aeolian bedforms. The workshop included two and a half days of oral and poster presentations, as well as one formal (and one informal) full-day field trip. Similar to its predecessors, the presented work provided new insight on the morphology, dynamics, composition, and origin of aeolian bedforms on Venus, Earth, Mars, and Titan, with some intriguing speculation about potential aeolian processes on Triton (a satellite of Neptune) and Pluto. Major advancements since the previous International Planetary Dunes Workshop include the introduction of several new data analysis and numerical tools and utilization of low-cost field instruments (most notably the time-lapse camera). Most presentations represented advancement towards research priorities identified in both of the prior two workshops, although some previously recommended research approaches were not discussed. In addition, this workshop provided a forum for participants to discuss the uncertain future of the Planetary Aeolian Laboratory; subsequent actions taken as a result of the decisions made during the workshop may lead to an expansion of funding opportunities to use the facilities, as well as other improvements. The interactions during this workshop contributed to the success of the Third International Planetary Dunes Workshop, further developing our understanding of aeolian processes on the aeolian worlds of the Solar System.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Aeolian Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.aeolia.2012.10.006","usgsCitation":"Fenton, L.K., Hayward, R., Horgan, B.H., Rubin, D.M., Titus, T.N., Bishop, M.A., Burr, D.M., Chojnacki, M., Dinwiddie, C., Kerber, L., Gall, A.L., Michaels, T.I., Neakrase, L., Newman, C.E., Tirsch, D., Yizhaq, H., and Zimbelman, J., 2013, Summary of the Third International Planetary Dunes Workshop: remote sensing and image analysis of planetary dunes: Aeolian Research, v. 8, p. 29-38, https://doi.org/10.1016/j.aeolia.2012.10.006.","productDescription":"10 p.","startPage":"29","endPage":"38","ipdsId":"IP-041222","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":473606,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://elib.dlr.de/78994/1/Fenton_JoAeolianResearch2012_Summary_Dunesworkshop2012.pdf","text":"External Repository"},{"id":276154,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276153,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.aeolia.2012.10.006"}],"volume":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5203a340e4b02bdb1bc63f70","contributors":{"authors":[{"text":"Fenton, Lori K.","contributorId":58932,"corporation":false,"usgs":true,"family":"Fenton","given":"Lori","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":482085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hayward, Rosalyn K.","contributorId":90955,"corporation":false,"usgs":true,"family":"Hayward","given":"Rosalyn K.","affiliations":[],"preferred":false,"id":482088,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Horgan, Briony H.N.","contributorId":62126,"corporation":false,"usgs":true,"family":"Horgan","given":"Briony","email":"","middleInitial":"H.N.","affiliations":[],"preferred":false,"id":482086,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rubin, David M. 0000-0003-1169-1452 drubin@usgs.gov","orcid":"https://orcid.org/0000-0003-1169-1452","contributorId":3159,"corporation":false,"usgs":true,"family":"Rubin","given":"David","email":"drubin@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":482074,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Titus, Timothy N. 0000-0003-0700-4875 ttitus@usgs.gov","orcid":"https://orcid.org/0000-0003-0700-4875","contributorId":146,"corporation":false,"usgs":true,"family":"Titus","given":"Timothy","email":"ttitus@usgs.gov","middleInitial":"N.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":482073,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bishop, Mark A.","contributorId":36837,"corporation":false,"usgs":true,"family":"Bishop","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":482078,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Burr, Devon M.","contributorId":21853,"corporation":false,"usgs":true,"family":"Burr","given":"Devon","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":482075,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chojnacki, Matthew","contributorId":96576,"corporation":false,"usgs":true,"family":"Chojnacki","given":"Matthew","affiliations":[],"preferred":false,"id":482089,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Dinwiddie, Cynthia L.","contributorId":38880,"corporation":false,"usgs":true,"family":"Dinwiddie","given":"Cynthia L.","affiliations":[],"preferred":false,"id":482079,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kerber, Laura","contributorId":27347,"corporation":false,"usgs":true,"family":"Kerber","given":"Laura","affiliations":[],"preferred":false,"id":482077,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Gall, Alice Le","contributorId":25449,"corporation":false,"usgs":true,"family":"Gall","given":"Alice","email":"","middleInitial":"Le","affiliations":[],"preferred":false,"id":482076,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Michaels, Timothy I.","contributorId":38883,"corporation":false,"usgs":true,"family":"Michaels","given":"Timothy","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":482080,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Neakrase, Lynn","contributorId":56362,"corporation":false,"usgs":true,"family":"Neakrase","given":"Lynn","email":"","affiliations":[],"preferred":false,"id":482084,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Newman, Claire E.","contributorId":40506,"corporation":false,"usgs":true,"family":"Newman","given":"Claire","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":482081,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Tirsch, Daniela","contributorId":55730,"corporation":false,"usgs":true,"family":"Tirsch","given":"Daniela","email":"","affiliations":[],"preferred":false,"id":482083,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Yizhaq, Hezi","contributorId":63709,"corporation":false,"usgs":true,"family":"Yizhaq","given":"Hezi","email":"","affiliations":[],"preferred":false,"id":482087,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Zimbelman, James R.","contributorId":43048,"corporation":false,"usgs":true,"family":"Zimbelman","given":"James R.","affiliations":[],"preferred":false,"id":482082,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}} ,{"id":70047470,"text":"sir20125097 - 2013 - Flood hydrology and dam-breach hydraulic analyses of five reservoirs in Colorado","interactions":[],"lastModifiedDate":"2013-08-07T08:06:30","indexId":"sir20125097","displayToPublicDate":"2013-08-07T07:58:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5097","title":"Flood hydrology and dam-breach hydraulic analyses of five reservoirs in Colorado","docAbstract":"The U.S. Department of Agriculture Forest Service has identified hazard concerns for areas downstream from five Colorado dams on Forest Service land. In 2009, the U.S. Geological Survey, in cooperation with the Forest Service, initiated a flood hydrology analysis to estimate the areal extent of potential downstream flood inundation and hazard to downstream life, property, and infrastructure if dam breach occurs. Readily available information was used for dam-breach assessments of five small Colorado reservoirs (Balman Reservoir, Crystal Lake, Manitou Park Lake, McGinnis Lake, and Million Reservoir) that are impounded by an earthen dam, and no new data were collected for hydraulic modeling. For each reservoir, two dam-breach scenarios were modeled: (1) the dam is overtopped but does not fail (break), and (2) the dam is overtopped and dam-break occurs. The dam-breach scenarios were modeled in response to the 100-year recurrence, 500-year recurrence, and the probable maximum precipitation, 24-hour duration rainstorms to predict downstream flooding. For each dam-breach and storm scenario, a flood inundation map was constructed to estimate the extent of flooding in areas of concern downstream from each dam. Simulation results of the dam-break scenarios were used to determine the hazard classification of the dam structure (high, significant, or low), which is primarily based on the potential for loss of life and property damage resulting from the predicted downstream flooding.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125097","collaboration":"Prepared in cooperation with the U.S. Department of Agriculture Forest Service","usgsCitation":"Stevens, M.R., and Hoogestraat, G., 2013, Flood hydrology and dam-breach hydraulic analyses of five reservoirs in Colorado: U.S. Geological Survey Scientific Investigations Report 2012-5097, vi, 24 p.; Downloads Directory, https://doi.org/10.3133/sir20125097.","productDescription":"vi, 24 p.; Downloads Directory","numberOfPages":"33","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":276142,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20125097.gif"},{"id":276143,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5097/"},{"id":276144,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5097/pdf/sir2012-5097.pdf"},{"id":276145,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2012/5097/downloads/"}],"country":"United States","state":"Colorado","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.0,36.0 ], [ -111.0,42.0 ], [ -99,0,42.0 ], [ -99,0,36.0 ], [ -111.0,36.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5203a33fe4b02bdb1bc63f64","contributors":{"authors":[{"text":"Stevens, Michael R. 0000-0002-9476-6335 mrsteven@usgs.gov","orcid":"https://orcid.org/0000-0002-9476-6335","contributorId":769,"corporation":false,"usgs":true,"family":"Stevens","given":"Michael","email":"mrsteven@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482127,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoogestraat, Galen K.","contributorId":22442,"corporation":false,"usgs":true,"family":"Hoogestraat","given":"Galen K.","affiliations":[],"preferred":false,"id":482128,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70047433,"text":"70047433 - 2013 - Adaptation to climate change: changes in farmland use and stocking rate in the U.S.","interactions":[],"lastModifiedDate":"2013-08-06T08:27:21","indexId":"70047433","displayToPublicDate":"2013-08-06T08:19:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2764,"text":"Mitigation and Adaptation Strategies for Global Change","active":true,"publicationSubtype":{"id":10}},"title":"Adaptation to climate change: changes in farmland use and stocking rate in the U.S.","docAbstract":"This paper examines possible adaptations to climate change in terms of pasture and crop land use and stocking rate in the United States (U.S.). Using Agricultural Census and climate data in a statistical model, we find that as temperature and precipitation increases agricultural commodity producers respond by reducing crop land and increasing pasture land. In addition, cattle stocking rate decreases as the summer Temperature-humidity Index (THI) increases and summer precipitation decreases. Using the statistical model with climate data from four General Circulation Models (GCMs), we project that land use shifts from cropping to grazing and the stocking rate declines, and these adaptations are more pronounced in the central and the southeast regions of the U.S. Controlling for other farm production variables, crop land decreases by 6 % and pasture land increases by 33 % from the baseline. Correspondingly, the associated economic impact due to adaptation is around -14 and 29 million dollars to crop producers and pasture producers by the end of this century, respectively. The national and regional results have implications for farm programs and subsidy policies.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mitigation and Adaptation Strategies for Global Change","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s11027-012-9384-4","usgsCitation":"Mu, J.E., McCarl, B.A., and Wein, A., 2013, Adaptation to climate change: changes in farmland use and stocking rate in the U.S.: Mitigation and Adaptation Strategies for Global Change, v. 18, no. 6, p. 713-730, https://doi.org/10.1007/s11027-012-9384-4.","productDescription":"18 p.","startPage":"713","endPage":"730","numberOfPages":"18","ipdsId":"IP-037256","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":276090,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276089,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11027-012-9384-4"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.53,25.06 ], [ -124.53,49.08 ], [ -66.95,49.08 ], [ -66.95,25.06 ], [ -124.53,25.06 ] ] ] } } ] }","volume":"18","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-05-24","publicationStatus":"PW","scienceBaseUri":"52020cd2e4b0e21cafa49bfb","contributors":{"authors":[{"text":"Mu, Jianhong E.","contributorId":75840,"corporation":false,"usgs":true,"family":"Mu","given":"Jianhong","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":482031,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCarl, Bruce A.","contributorId":58173,"corporation":false,"usgs":true,"family":"McCarl","given":"Bruce","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":482030,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wein, Anne M.","contributorId":12007,"corporation":false,"usgs":true,"family":"Wein","given":"Anne M.","affiliations":[],"preferred":false,"id":482029,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70174266,"text":"70174266 - 2013 - Advancements in understanding the aeromagnetic expressions of basin-margin faults—An example from San Luis Basin, Colorado","interactions":[],"lastModifiedDate":"2016-07-06T17:02:25","indexId":"70174266","displayToPublicDate":"2013-08-06T01:15:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3568,"text":"The Leading Edge","active":true,"publicationSubtype":{"id":10}},"title":"Advancements in understanding the aeromagnetic expressions of basin-margin faults—An example from San Luis Basin, Colorado","docAbstract":"
\n

Advancements in aeromagnetic acquisition technology over the past few decades have led to greater resolution of shallow geologic sources with low magnetization, such as intrasedimentary faults and paleochannels. Detection and mapping of intrasedimentary faults in particular can be important for understanding the overall structural setting of an area, even if exploration targets are much deeper. Aeromagnetic methods are especially useful for mapping structures in mountain-piedmont areas at the margins of structural basins, where mineral exploration and seismic-hazard studies may be focused, and where logistical or data-quality issues encumber seismic methods. Understanding if the sources of aeromagnetic anomalies in this context originate from sedimentary units or bedrock is important for evaluating basin structure and/or depth to shallow exploration targets.

\n
\n

Advancements in aeromagnetic acquisition technology over the past few decades have led to greater resolution of shallow geologic sources with low magnetization, such as intrasedimentary faults and paleochannels. Detection and mapping of intrasedimentary faults in particular can be important for understanding the overall structural setting of an area, even if exploration targets are much deeper. Aeromagnetic methods are especially useful for mapping structures in mountain-piedmont areas at the margins of structural basins, where mineral exploration and seismic-hazard studies may be focused, and where logistical or data-quality issues encumber seismic methods. Understanding if the sources of aeromagnetic anomalies in this context originate from sedimentary units or bedrock is important for evaluating basin structure and/or depth to shallow exploration targets.

\n

Although explorationists have surmised that subtle, narrow, linear aeromagnetic anomalies or gradients are caused by intrasedimentary faults, the nature of the magnetic sources has been debated. A common and intuitive explanation for the linear anomalies considers that the magnetic properties of the fault zone have been altered by secondary chemical processes, either through the growth or destruction of magnetic minerals. However, comprehensive, multidisciplinary studies of partially exposed intrasedimentary faults in basins within the central Rio Grande Rift, New Mexico, have shown that the anomalies can be completely explained by the tectonic juxtaposition of strata of differing magnetic properties at the fault (summarized in Grauch and Hudson, 2007, 2011). Whereas a reduction in magnetic susceptibility was detected at some fault zones in the laboratory, the slight reduction and small volume of material affected were insufficient to produce aeromagnetic anomalies (Hudson et al., 2008).

\n

A key finding of the studies summarized by Grauch and Hudson (2007, 2011) is that multiple magnetic contrasts (sources) can be vertically stacked at one fault. This situation requires rethinking of common assumptions when modeling faults as simple steps or when interpreting depth-estimation results. The multiple contrasts in these case studies arise from the tectonic juxtaposition of stratified sediments with differing magnetic properties. Multiple, vertically stacked magnetic sources also can occur where volcanic layers are interbedded with the sedimentary section or where faults offset both shallow bedrock and its overlying sedimentary cover. The latter situation is common at basin margins.

\n

Herein, we summarize and expand on an investigation of the sources of aeromagnetic anomalies related to faults along the eastern margin of the San Luis Basin, northern Rio Grande Rift, Colorado (Grauch et al., 2010). Similar to the faults examined in the central Rio Grande Rift, magnetic sources can be completely explained by tectonic juxtaposition and produce multiple, vertically stacked magnetic contrasts at individual faults. However, the geologic sources are different. They arise from both the sedimentary cover and the underlying bedrock rather than from stratified sediments. In addition, geologic evidence for secondary growth or destruction of magnetic minerals at the fault zone is lacking.

","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/tle32080882.1","usgsCitation":"Grauch, V.J., Bedrosian, P.A., and Drenth, B.J., 2013, Advancements in understanding the aeromagnetic expressions of basin-margin faults—An example from San Luis Basin, Colorado: The Leading Edge, v. 32, no. 8, p. 882-891, https://doi.org/10.1190/tle32080882.1.","productDescription":"10 p.","startPage":"882","endPage":"891","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044990","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":324783,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"San Luis Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.0125732421875,\n 38.41916639395372\n ],\n [\n -105.97137451171874,\n 38.36534867623901\n ],\n [\n -105.91094970703125,\n 38.3287297527893\n ],\n [\n -105.8477783203125,\n 38.268375880204744\n ],\n [\n -105.73791503906249,\n 38.07404145941957\n ],\n [\n -105.66925048828125,\n 38.017803980061146\n ],\n [\n -105.60882568359375,\n 37.90736658145496\n ],\n [\n -105.5126953125,\n 37.792422407988575\n ],\n [\n -105.48797607421874,\n 37.73162487017297\n ],\n [\n -105.53741455078125,\n 37.659906493259385\n ],\n [\n -105.51544189453125,\n 37.57505900514996\n ],\n [\n -105.435791015625,\n 37.53586597792038\n ],\n [\n -105.3753662109375,\n 37.53586597792038\n ],\n [\n -105.30120849609374,\n 37.487935401689846\n ],\n [\n -105.25726318359375,\n 37.23032838760387\n ],\n [\n -105.27374267578125,\n 37.153749608429415\n ],\n [\n -105.33416748046875,\n 37.00913272027146\n ],\n [\n -105.39459228515624,\n 36.99597205450302\n ],\n [\n -106.2982177734375,\n 36.99597205450302\n ],\n [\n -106.36962890624999,\n 37.06394430056685\n ],\n [\n -106.39984130859374,\n 37.10995544464346\n ],\n [\n -106.43829345703125,\n 37.19095471582605\n ],\n [\n -106.45751953125,\n 37.29153547292737\n ],\n [\n -106.43280029296875,\n 37.37015718405753\n ],\n [\n -106.380615234375,\n 37.40943717748788\n ],\n [\n -106.32293701171874,\n 37.44433544620038\n ],\n [\n -106.10595703125,\n 37.56417412088097\n ],\n [\n -106.05377197265625,\n 37.6033522588369\n ],\n [\n -105.985107421875,\n 37.67077737288316\n ],\n [\n -105.96038818359375,\n 37.74031329210266\n ],\n [\n -105.98785400390625,\n 37.820632846207864\n ],\n [\n -105.99609375,\n 37.96801944035648\n ],\n [\n -106.07574462890625,\n 38.10646650598286\n ],\n [\n -106.116943359375,\n 38.21012996629426\n ],\n [\n -106.14166259765625,\n 38.315801006824984\n ],\n [\n -106.1553955078125,\n 38.43422817624596\n ],\n [\n -106.160888671875,\n 38.46864331036051\n ],\n [\n -106.09222412109375,\n 38.494443887725055\n ],\n [\n -106.0400390625,\n 38.485844721434205\n ],\n [\n -106.0125732421875,\n 38.44068226417387\n ],\n [\n -106.0125732421875,\n 38.41916639395372\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"32","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"577e2bace4b0ef4d2f4459d3","contributors":{"authors":[{"text":"Grauch, V. J. 0000-0002-0761-3489 tien@usgs.gov","orcid":"https://orcid.org/0000-0002-0761-3489","contributorId":152256,"corporation":false,"usgs":true,"family":"Grauch","given":"V.","email":"tien@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":641660,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":641659,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Drenth, Benjamin J. 0000-0002-3954-8124 bdrenth@usgs.gov","orcid":"https://orcid.org/0000-0002-3954-8124","contributorId":1315,"corporation":false,"usgs":true,"family":"Drenth","given":"Benjamin","email":"bdrenth@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":641658,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70047430,"text":"70047430 - 2013 - The LANDFIRE Refresh strategy: updating the national dataset","interactions":[],"lastModifiedDate":"2013-08-05T16:15:14","indexId":"70047430","displayToPublicDate":"2013-08-05T16:11:37","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1636,"text":"Fire Ecology","active":true,"publicationSubtype":{"id":10}},"title":"The LANDFIRE Refresh strategy: updating the national dataset","docAbstract":"The LANDFIRE Program provides comprehensive vegetation and fuel datasets for the entire United States. As with many large-scale ecological datasets, vegetation and landscape conditions must be updated periodically to account for disturbances, growth, and natural succession. The LANDFIRE Refresh effort was the first attempt to consistently update these products nationwide. It incorporated a combination of specific systematic improvements to the original LANDFIRE National data, remote sensing based disturbance detection methods, field collected disturbance information, vegetation growth and succession modeling, and vegetation transition processes. This resulted in the creation of two complete datasets for all 50 states: LANDFIRE Refresh 2001, which includes the systematic improvements, and LANDFIRE Refresh 2008, which includes the disturbance and succession updates to the vegetation and fuel data. The new datasets are comparable for studying landscape changes in vegetation type and structure over a decadal period, and provide the most recent characterization of fuel conditions across the country. The applicability of the new layers is discussed and the effects of using the new fuel datasets are demonstrated through a fire behavior modeling exercise using the 2011 Wallow Fire in eastern Arizona as an example.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Fire Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Association for Fire Ecology","doi":"10.4996/fireecology.0902080","usgsCitation":"Nelson, K., Connot, J.A., Peterson, B.E., and Martin, C., 2013, The LANDFIRE Refresh strategy: updating the national dataset: Fire Ecology, v. 9, no. 2, p. 80-101, https://doi.org/10.4996/fireecology.0902080.","productDescription":"22 p.","startPage":"80","endPage":"101","ipdsId":"IP-045102","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":473609,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4996/fireecology.0902080","text":"Publisher Index Page"},{"id":276080,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.4996/fireecology.0902080"},{"id":276081,"type":{"id":15,"text":"Index Page"},"url":"https://fireecology.org/journal/abstract/?abstract=195"},{"id":276085,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-08-01","publicationStatus":"PW","scienceBaseUri":"5200bb5ae4b009d47a4c2349","contributors":{"authors":[{"text":"Nelson, Kurtis J. 0000-0003-4911-4511","orcid":"https://orcid.org/0000-0003-4911-4511","contributorId":105629,"corporation":false,"usgs":true,"family":"Nelson","given":"Kurtis J.","affiliations":[],"preferred":false,"id":482023,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connot, Joel A. 0000-0002-2556-3374 jconnot@usgs.gov","orcid":"https://orcid.org/0000-0002-2556-3374","contributorId":4436,"corporation":false,"usgs":true,"family":"Connot","given":"Joel","email":"jconnot@usgs.gov","middleInitial":"A.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":482021,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, Birgit E. 0000-0002-4356-1540 bpeterson@usgs.gov","orcid":"https://orcid.org/0000-0002-4356-1540","contributorId":3599,"corporation":false,"usgs":true,"family":"Peterson","given":"Birgit","email":"bpeterson@usgs.gov","middleInitial":"E.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":482020,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Charley chmartin@usgs.gov","contributorId":4544,"corporation":false,"usgs":true,"family":"Martin","given":"Charley","email":"chmartin@usgs.gov","affiliations":[],"preferred":true,"id":482022,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","interactions":[{"subject":{"id":70044524,"text":"pp1798B - 2013 - General weather conditions and precipitation contributing to the 2011 flooding in the Mississippi River and Red River of the North Basins, December 2010 through July 2011","indexId":"pp1798B","publicationYear":"2013","noYear":false,"chapter":"B","title":"General weather conditions and precipitation contributing to the 2011 flooding in the Mississippi River and Red River of the North Basins, December 2010 through July 2011"},"predicate":"IS_PART_OF","object":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"id":1},{"subject":{"id":70046073,"text":"pp1798C - 2013 - Peak streamflows and runoff volumes for the Central United States, February through September, 2011","indexId":"pp1798C","publicationYear":"2013","noYear":false,"chapter":"C","title":"Peak streamflows and runoff volumes for the Central United States, February through September, 2011"},"predicate":"IS_PART_OF","object":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"id":2},{"subject":{"id":70046242,"text":"pp1798E - 2013 - Documenting the stages and streamflows associated with the 2011 activation of the New Madrid Floodway, Missouri","indexId":"pp1798E","publicationYear":"2013","noYear":false,"chapter":"E","title":"Documenting the stages and streamflows associated with the 2011 activation of the New Madrid Floodway, Missouri"},"predicate":"IS_PART_OF","object":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"id":3},{"subject":{"id":70049013,"text":"pp1798F - 2013 - Sediment transport and deposition in the lower Missouri River during the 2011 flood","indexId":"pp1798F","publicationYear":"2013","noYear":false,"chapter":"F","title":"Sediment transport and deposition in the lower Missouri River during the 2011 flood"},"predicate":"IS_PART_OF","object":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"id":4},{"subject":{"id":70055532,"text":"pp1798G - 2013 - Occurrence and transport of nutrients in the Missouri River Basin, April through September 2011","indexId":"pp1798G","publicationYear":"2013","noYear":false,"chapter":"G","title":"Occurrence and transport of nutrients in the Missouri River Basin, April through September 2011"},"predicate":"IS_PART_OF","object":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"id":5},{"subject":{"id":70073852,"text":"pp1798D - 2014 - Annual exceedance probabilities and trends for peak streamflows and annual runoff volumes for the Central United States during the 2011 floods","indexId":"pp1798D","publicationYear":"2014","noYear":false,"chapter":"D","title":"Annual exceedance probabilities and trends for peak streamflows and annual runoff volumes for the Central United States during the 2011 floods"},"predicate":"IS_PART_OF","object":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"id":6},{"subject":{"id":70095112,"text":"pp1798H - 2014 - Geomorphic changes caused by the 2011 flood at selected sites along the lower Missouri River and comparison to historical floods","indexId":"pp1798H","publicationYear":"2014","noYear":false,"chapter":"H","title":"Geomorphic changes caused by the 2011 flood at selected sites along the lower Missouri River and comparison to historical floods"},"predicate":"IS_PART_OF","object":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"id":7},{"subject":{"id":70103403,"text":"pp1798J - 2014 - Monitoring of levees, bridges, pipelines, and other critical infrastructure during the 2011 flooding in the Mississippi River Basin","indexId":"pp1798J","publicationYear":"2014","noYear":false,"chapter":"J","title":"Monitoring of levees, bridges, pipelines, and other critical infrastructure during the 2011 flooding in the Mississippi River Basin"},"predicate":"IS_PART_OF","object":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"id":8},{"subject":{"id":70111075,"text":"pp1798I - 2014 - Geomorphic change on the Missouri River during the flood of 2011","indexId":"pp1798I","publicationYear":"2014","noYear":false,"chapter":"I","title":"Geomorphic change on the Missouri River during the flood of 2011"},"predicate":"IS_PART_OF","object":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"id":9},{"subject":{"id":70118238,"text":"pp1798K - 2014 - The effects of Missouri River mainstem reservoir system operations on 2011 flooding using a Precipitation-Runoff Modeling System model","indexId":"pp1798K","publicationYear":"2014","noYear":false,"chapter":"K","title":"The effects of Missouri River mainstem reservoir system operations on 2011 flooding using a Precipitation-Runoff Modeling System model"},"predicate":"IS_PART_OF","object":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"id":10},{"subject":{"id":70127474,"text":"pp1798L - 2014 - Ecosystem effects in the Lower Mississippi River Basin","indexId":"pp1798L","publicationYear":"2014","noYear":false,"chapter":"L","title":"Ecosystem effects in the Lower Mississippi River Basin"},"predicate":"IS_PART_OF","object":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"id":11}],"lastModifiedDate":"2013-08-05T15:51:34","indexId":"pp1798","displayToPublicDate":"2013-08-05T15:46:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1798","title":"2011 floods of the central United States","docAbstract":"The Central United States experienced record-setting flooding during 2011, with floods that extended from headwater streams in the Rocky Mountains, to transboundary rivers in the upper Midwest and Northern Plains, to the deep and wide sand-bedded lower Mississippi River. The U.S. Geological Survey (USGS), as part of its mission, collected extensive information during and in the aftermath of the 2011 floods to support scientific analysis of the origins and consequences of extreme floods. The information collected for the 2011 floods, combined with decades of past data, enables scientists and engineers from the USGS to provide syntheses and scientific analyses to inform emergency managers, planners, and policy makers about life-safety, economic, and environmental-health issues surrounding flood hazards for the 2011 floods and future floods like it. USGS data, information, and scientific analyses provide context and understanding of the effect of floods on complex societal issues such as ecosystem and human health, flood-plain management, climate-change adaptation, economic security, and the associated policies enacted for mitigation.\n\nAmong the largest societal questions is \"How do we balance agricultural, economic, life-safety, and environmental needs in and along our rivers?\" To address this issue, many scientific questions have to be answered including the following:\n\n* How do the 2011 weather and flood conditions compare to the past weather and flood conditions and what can we reasonably expect in the future for flood magnitudes?\n* What is the “natural” hydrology of these watersheds and how have they been changed?\n* How do rivers change during floods and what effects do they have on the natural and built environment: conversely, what effects do the natural and built environments have on rivers and floods?\n* Do floods contribute to the transport and fate of contaminants that affect human and ecosystem health?\n\nIn an effort to help address these and other questions, USGS Professional Paper 1798 consists of independent but complementary chapters dealing with various scientific aspects of the 2011 floods in the Central United States.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1798","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2013, 2011 floods of the central United States: U.S. Geological Survey Professional Paper 1798, HTML Document, https://doi.org/10.3133/pp1798.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":276076,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp1798.PNG"},{"id":276073,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1798/"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383333 ], [ -66.95,49.383333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4927e4b0b290850eeebc","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535572,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70047414,"text":"ofr20131147 - 2013 - Instrumental neutron activation analysis data for cloud-water particulate samples, Mount Bamboo, Taiwan","interactions":[],"lastModifiedDate":"2013-08-05T13:09:27","indexId":"ofr20131147","displayToPublicDate":"2013-08-05T12:55:00","publicationYear":"2013","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":"2013-1147","title":"Instrumental neutron activation analysis data for cloud-water particulate samples, Mount Bamboo, Taiwan","docAbstract":"Cloud water was sampled on Mount Bamboo in northern Taiwan during March 22-24, 2002. Cloud-water samples were filtered using 0.45-micron filters to remove particulate material from the water samples. Filtered particulates were analyzed by instrumental neutron activation analysis (INAA) at the U.S. Geological Survey National Reactor Facility in Denver, Colorado, in February 2012. INAA elemental composition data for the particulate materials are presented. These data complement analyses of the aqueous portion of the cloud-water samples, which were performed earlier by the Department of Atmospheric Sciences, National Central University, Taiwan. The data are intended for evaluation of atmospheric transport processes and air-pollution sources in Southeast Asia.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131147","usgsCitation":"Lin, N., Sheu, G., Wetherbee, G.A., and Debey, T.M., 2013, Instrumental neutron activation analysis data for cloud-water particulate samples, Mount Bamboo, Taiwan: U.S. Geological Survey Open-File Report 2013-1147, vi, 12 p., https://doi.org/10.3133/ofr20131147.","productDescription":"vi, 12 p.","numberOfPages":"18","onlineOnly":"Y","costCenters":[{"id":143,"text":"Branch of Quality Systems","active":true,"usgs":true}],"links":[{"id":276033,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131147.png"},{"id":276031,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1147/"},{"id":276032,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1147/pdf/OF13-1147_508.pdf"}],"country":"Taiwan","otherGeospatial":"Mount Bamboo","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 120.7548,24.4 ], [ 120.7548,25.3643 ], [ 122.0454,25.3643 ], [ 122.0454,24.4 ], [ 120.7548,24.4 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5200bb56e4b009d47a4c2321","contributors":{"authors":[{"text":"Lin, Neng-Huei","contributorId":44450,"corporation":false,"usgs":true,"family":"Lin","given":"Neng-Huei","email":"","affiliations":[],"preferred":false,"id":481978,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sheu, Guey-Rong","contributorId":41320,"corporation":false,"usgs":true,"family":"Sheu","given":"Guey-Rong","email":"","affiliations":[],"preferred":false,"id":481977,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wetherbee, Gregory A. 0000-0002-6720-2294 wetherbe@usgs.gov","orcid":"https://orcid.org/0000-0002-6720-2294","contributorId":1044,"corporation":false,"usgs":true,"family":"Wetherbee","given":"Gregory","email":"wetherbe@usgs.gov","middleInitial":"A.","affiliations":[{"id":143,"text":"Branch of Quality Systems","active":true,"usgs":true}],"preferred":true,"id":481975,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Debey, Timothy M. tdebey@usgs.gov","contributorId":3964,"corporation":false,"usgs":true,"family":"Debey","given":"Timothy","email":"tdebey@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":481976,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}