{"pageNumber":"301","pageRowStart":"7500","pageSize":"25","recordCount":40783,"records":[{"id":70204582,"text":"70204582 - 2019 - Managed aquifer recharge in snow-fed river basins: What, why and how?","interactions":[],"lastModifiedDate":"2020-08-27T17:51:13.062663","indexId":"70204582","displayToPublicDate":"2019-12-31T12:48:45","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":6473,"text":"Fact Sheet","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"19-10","title":"Managed aquifer recharge in snow-fed river basins: What, why and how?","docAbstract":"<h2>What does climate change mean for snow-fed river basins?</h2><p>Climate change poses unique challenges in snow-fed river basins across the western United States because the majority of water supply originates as snow (Dettinger, Udall, &amp; Georgakakos, 2015). In the Sierra Nevada, recent observations include changes in snow accumulation and snowmelt, and shifts in peak streamflow timing (Barnhart et al., 2016; Hatchett et al., 2017; Kim &amp; Jain, 2010; McCabe, Wolock, &amp; Valentin, 2018; Mote, Li, Lettenmaier, Xiao, &amp; Engel, 2018). Such changes upstream alter surface water deliveries downstream, as well as groundwater recharge utilized as both primary and supplemental water supply (Godsey et al., 2014; Harpold, 2016; Jasechko et al., 2014).</p><p>basin where snowmelt runoff produces substantial water supply to meet diverse agricultural, environmental and urban water demand (Figure 1). The East and West Forks join at the confluence of the Carson River near the north end of the Carson Valley, a rich agricultural region (40,000 acres) that grows primarily alfalfa hay. The majority of irrigators rely on surface water delivered through a network of earthen ditches constructed in the mid-19th and early 20th centuries. Flow through these earthen networks and the practice of flood irrigation contribute significantly to groundwater recharge.</p><p>Because no upstream surface water reservoirs exist, snowpack that accumulates through winter and melts slowly through spring has acted as a “natural” reservoir, providing ample supply through the summer irrigati agricultural, environmental and urban water demand (Figure 1). The East and West Forks join at the confluence of the Carson River near the north end of the season. Some irrigators have permitted access to supplemental groundwater that is useful during periods of drought for augmenting shortfalls in surface water delivery. Groundwater is the primary source of municipal and industrial water supply for surrounding communities (e.g., Carson City, Minden, Gardnerville, Dayton).</p><p>Across the basin, water use is highly regulated through federal, tribal, state and local water-sharing agreements based on prior appropriation doctrine (Wilds, 2014). Carson River surface water allocations follow the Alpine Decree, initiated by the United States Department of Interior in 1925 and signed into law in 1980, following 55 years of litigation, to adjudicate surface water rights to individual parties (NDWP, 1999). The Alpine Decree acknowledges return flows to lower river segments, and thus each river segment is distributed autonomously. This means that the most junior water right on an upper segment can be fulfilled before considering the most senior water right on a lower segment. Ultimately, the ruling is at the discretion of the Federal Water Master to satisfy the needs of each water right</p><p>Downstream of Carson Valley, surface water flows are stored in Lahontan Reservoir, the nation’s first desert reclamation project (est. 1906), where releases are managed to meet the Newland’s Project irrigation water demand and for environmental use on the Stillwater National Wildlife Refuge. Flows from the Carson River are supplemented through diversions from the Truckee River via the Truckee Canal, resulting in a trans-basin water supply system.</p><h2>How is the Water for the Seasons research program informing snow-fed river basin communities?</h2><p>In the Truckee-Carson River System, researchers and local water managers are working together to assess climate change impacts to water supply and explore how model simulations can produce useful information to support local climate adaptation. Twelve key water managers represent agricultural, environmental, urban and regulatory water-use communities, and bring to the table diverse input and perspectives on how to adapt to climate change.</p><p>Hydrologists use this input to craft scenarios and simulations that meet the information needs of local water managers. Biannual workshops provide an opportunity for information exchange, where researchers and key water managers generate new knowledge of river system function. That is, researchers share results of models that examine the physical potential, and managers validate the on-the-ground potential, further informing the research process.</p><p>Coincident to this research program, the region faced a prolonged drought period (2012-2016) with historically low snowpack, followed by a historic wet year (2017) that brought winter and spring flooding as a result of atmospheric river storm events (Sterle et al., 2019). For the Carson River, an important observation made by managers was that peak streamflow that had traditionally coincided with peak irrigation demands, had shifted to earlier in the spring, with summer baseflow also decreasing (Sterle &amp; Singletary, 2017). Managers shared with researchers concerns over potential future impacts that changing snowpack will have on surface water deliveries and reliance on groundwater, as the region’s population and economy continue to grow. During workshops that occurred over this period, local water managers and researchers discussed ways to evaluate water distribution and use that honors the existing legal framework and accounts for changing snowpack regimes (amount, rain versus snow, timing). In response to managers growing interest, researchers introduced the concept of managed aquifer recharge as one potential strategy to adapt and enhance regional water sustainability.</p><p>What is managed aquifer recharge? Simply stated, managed aquifer recharge is the intentional recharge of structures to spread water over agricultural lands, allowing water to naturally infiltrate into the groundwater system (Bouwer, 1999; Niswonger et al., 2017). The latter may occur during the irrigation season by applying excess water, or during the nonirrigation season when evapotranspiration losses are low. Figure 2 illustrates managed aquifer recharge in a snow-fed river basin, where streamflow generated from snowmelt runoff is diverted to agricultural lands to recharge the aquifer. Such flood irrigation practices, including water delivery through earthen ditch networks, provide incidental but significant aquifer recharge through seepage and deep drainage beneath fields (Niswonger, Allander, &amp; Jeton, 2014). The effects of managed aquifer recharge can vary depending on the location and intensity of practice.</p><p>For example, implementing managed aquifer recharge water into the groundwater system (Dillon, 2009). This differs from the incidental recharge that may occur as part of normal irrigation practices. Managed recharge may occur by injection into the aquifer through existingwells, or by using existing conveyance adjacent to/along the river’s floodplain has the potential to enhance late-season instream flows due to increased return flows, resulting in greater downstream deliveries as well as improving ecological conditions (Niswonger et al., 2017). Implementing managed aquifer recharge away from the river’s floodplain has the potential to enhance groundwater supply which is increasingly relied upon during surface water shortage (Green et al., 2011), by storing water in available aquifer space in the deep aquifer. At the basin scale, managed aquifer recharge may lead to regional groundwater sustainability.</p><h2>Is the Carson River Basin a candidate for managed aquifer recharge?</h2><p>The physical limitations to implementing managed aquifer recharge in the Carson River Basin hinges on three key factors. The first factor relates to the physical connectivity between rivers and streams, and the irrigation delivery network of canals and ditches that divert water to agricultural lands (Niswonger et al., 2017). In the Carson River Basin the mechanisms for getting water to fields is already in place. Thus, intentionally routing high flows that occur in wet years through this system during the nonirrigation season would mimic what occurs naturally during the irrigation season. The second factor relates to the occurrence of atmospheric river storm events that deliver large amounts of precipitation to the region, much greater than average (Dettinger et al., 2015). With increased frequency and intensity projected under a warmer climate, such events have the potential to produce excess water over short periods of time that could be stored through mechanisms such as managed aquifer recharge (Niswonger et al., 2017). The third factor relates to the change in snowpack accumulation and shifts in snowmelt timing observed elsewhere in the Sierra Nevada (e.g., Godsey et al., 2014; Mote et al., 2018). Having a mechanism in place to maximize use of earlier snowmelt and shifts in streamflow timing could be advantageous and enhance regional groundwater sustainability. As part of the Water for the Seasons study, a hypothetical scenario was developed to determine the feasibility of managed aquifer recharge in the Carson River Basin, assuming no legal constraints. During “wet” or above-average water years, irrigators in the Upper Carson Valley would divert high flows and spread water over agricultural lands during the nonirrigation season. Assuming flows are abundant and “early,” diversions would begin prior to the growing season, when water would otherwise flow downstream to the Lahontan Reservoir. During “dry” years or drought periods, when surface water availability is less, irrigators in the Upper Carson Valley could augment surface water shortages with groundwater, allowing available surface water flows to flow downstream. Researchers hypothesize the amount of water has the potential to boost baseflow to support environmental instream flows, for example.</p><h2>What concerns have local water managers expressed?</h2><p>The hypothetical managed aquifer recharge scenario was presented to water managers in a workshop setting. Presentations included an overview of the hydrologic and operations modeling tools used to evaluate managed aquifer recharge by simulating the timing and distribution of water in the upper watershed. Specifically, in the Upper Carson Valley, a hydrologic model (GSFLOW) simulates streamflow driven by snowmelt, and surface and groundwater interactions, while a river basin operations model (MODSIM) allocates water according to the prior appropriation doctrine in the basin (see Figure 1) (Morway, Niswonger, &amp; Triana, 2016; Niswonger et al., 2017). Integrating these two modeling tools advances the evaluation of climate impacts on water availability in agricultural communities and the resulting impacts of alternative management strategies (Morway et al., 2016).</p><p>When asked about the viability of managed aquifer recharge, the perspectives of 11 managers varied (Figure 3). Regardless of rating, all managers questioned, “How would thisreally work?” Several managers questioned whether models could simulate the connectivity between surface and groundwater to accurately quantify changes to instream flow. Others raised concerns that managed aquifer recharge violates the Alpine Decree and Nevada Water Law. Still others requested researchers consider alternatives that could work within the confines of current (2019) water law.</p><p>Managers posed specific questions that should be considered when evaluating the potential for managed aquifer recharge. For example:</p><ul><li>What triggers implementation of managed aquifer recharge?How “high” or “low” must annual flows be to initiate managed aquifer recharge? When in the water year is this determined?</li><li>Where exactly in the Carson Valley is managed aquiferre charge possible? For example, what areas away from the floodplain could ensure long-term storage?</li><li>Can model simulations quantify potential benefits and consequences system-wide?Would this information support decision-making, such as permitting of additional supplemental groundwater rights?</li></ul><h2>How are researchers going to address managers’ research questions?</h2><p>Managers’ perspectives help to validate the on-the-ground potential of particular strategies and further refine alternative management scenarios. For example, understanding that managers are concerned with oversaturated fields helps researchers to define conditions in the model, such as what defines a wet versus “too” wet type of year and where to focus irrigation for managed aquifer recharge. Incorporating these nuances provides more accurate quantification of the potential benefits and consequences for users across the basin. Modeling is underway to simulate managed aquifer recharge scenarios and explore basin-wide implications. Researchers and local water managers will convene to collaboratively review results and further assess whether this or other strategies could work under the confines of existing water law. Subsequent fact sheets will present these findings.</p>","language":"English","publisher":"University of Nevada, Reno Extension","usgsCitation":"Sterle, K., Kitlasten, W., Morway, E.D., Niswonger, R.G., and Singletary, L., 2019, Managed aquifer recharge in snow-fed river basins: What, why and how?: Fact Sheet 19-10, 8 p.","productDescription":"8 p.","ipdsId":"IP-106943","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":377948,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":377947,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://extension.unr.edu/publication.aspx?PubID=3416"}],"country":"United States","state":"Nevada","city":"Carson City","otherGeospatial":"Carson River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.74685668945312,\n              38.849333913235476\n            ],\n            [\n              -119.67681884765624,\n              38.976492485539396\n            ],\n            [\n              -119.64248657226562,\n              39.15881700964971\n            ],\n            [\n              -119.06295776367188,\n              39.299236474818194\n            ],\n            [\n              -118.96545410156251,\n              39.454221498848895\n            ],\n            [\n              -118.70590209960938,\n              39.459523110465156\n            ],\n            [\n              -118.61114501953125,\n              39.68288289049806\n            ],\n            [\n              -118.62213134765626,\n              39.79059962227577\n            ],\n            [\n              -118.73886108398438,\n              39.79059962227577\n            ],\n            [\n              -118.8336181640625,\n              39.53899882354987\n            ],\n            [\n              -119.1412353515625,\n              39.527348072681455\n            ],\n            [\n              -119.32662963867188,\n              39.35659979720227\n            ],\n            [\n              -119.53262329101562,\n              39.34598050985849\n            ],\n            [\n              -119.77157592773436,\n              39.196076813671695\n            ],\n            [\n              -119.88418579101561,\n              39.03838632847035\n            ],\n            [\n              -119.86358642578125,\n              38.935911987561624\n            ],\n            [\n              -119.74685668945312,\n              38.849333913235476\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sterle, Kelley","contributorId":195683,"corporation":false,"usgs":false,"family":"Sterle","given":"Kelley","email":"","affiliations":[],"preferred":false,"id":797450,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kitlasten, Wesley 0000-0002-2049-9107","orcid":"https://orcid.org/0000-0002-2049-9107","contributorId":217832,"corporation":false,"usgs":true,"family":"Kitlasten","given":"Wesley","email":"","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":767633,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morway, Eric D. 0000-0002-8553-6140 emorway@usgs.gov","orcid":"https://orcid.org/0000-0002-8553-6140","contributorId":4320,"corporation":false,"usgs":true,"family":"Morway","given":"Eric","email":"emorway@usgs.gov","middleInitial":"D.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":767634,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Niswonger, Richard G. 0000-0001-6397-2403 rniswon@usgs.gov","orcid":"https://orcid.org/0000-0001-6397-2403","contributorId":197892,"corporation":false,"usgs":true,"family":"Niswonger","given":"Richard","email":"rniswon@usgs.gov","middleInitial":"G.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":767635,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Singletary, Loretta","contributorId":195685,"corporation":false,"usgs":false,"family":"Singletary","given":"Loretta","email":"","affiliations":[],"preferred":false,"id":797451,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70206564,"text":"ofr20191122 - 2019 - Trends in mammalian predator control trapping events intended to protect ground-nesting, endangered birds at Haleakalā National Park, Hawaiʻi: 2000–14","interactions":[],"lastModifiedDate":"2020-02-21T12:03:56","indexId":"ofr20191122","displayToPublicDate":"2019-12-31T11:59:59","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1122","displayTitle":"Trends in Mammalian Predator Control Trapping Events Intended to Protect Ground-Nesting, Endangered Birds at Haleakalā National Park, Hawaiʻi: 2000–14","title":"Trends in mammalian predator control trapping events intended to protect ground-nesting, endangered birds at Haleakalā National Park, Hawaiʻi: 2000–14","docAbstract":"<p><span>Predation and habitat degradation by non-native species are principal terrestrial threats to the federally endangered Hawaiian Petrel (ʻuaʻu, <i>Pterodroma sandwichensis</i>) and Hawaiian Goose (nēnē, <i>Branta sandvicensis</i>) within Haleakalā National Park (HALE), Maui, Hawaiʻi. Since 1981, HALE has maintained a network of live traps to control invasive mammalian predators and protect these endangered birds. To evaluate trapping efficiency in HALE, we evaluated four types of trap outcomes for the years 2000–14: Bait Lost (62 percent), No Event (23 percent), Trap Triggered (10 percent), and Predator Event (Rat Caught, Cat Caught, or Mongoose Caught; 4 percent). We used a multinomial logistic regression model to explore trends in the probabilities of broad outcomes (No Event, Other Event [Bait Lost or Trap Triggered], or Predator Event [Rat Caught, Cat Caught, or Mongoose Caught]). Temporal variations in the probabilities of No Event, Other Event, or Predator Event were best explained by ʻuaʻu season (off-season, pre-laying, incubation, or nestling), month, year, and seasonal rainfall with greater probabilities of Predator Event during the ʻuaʻu nestling period (July–October). The probability of Predator Event or Other Event decreased with increased rainfall. Spatial analysis showed that percent vegetative cover and vegetation type best explained variations in the probabilities of trapping outcomes with the probability of Predator Event being greatest in developed and tree covered areas. The proportion of trapping events that resulted in Rat Caught was at least 20 times greater than the proportions of events resulting in Cat or Mongoose Caught throughout the 15-year management period. Temporal analysis showed that season, year, and maximum temperature best explained variations in probabilities of Predator Event; the probability of Rat Caught was greatest during the ʻuaʻu pre-laying and incubation periods (February–June), was greater during periods of warmer maximum temperatures, and overall, increased over the 15-year management period. The probability of Mongoose Caught was greatest during the ʻuaʻu offseason (November–January), decreased through time (2000–14), and decreased with increasing weekly maximum temperatures. Trends in Cat Caught were hard to detect because of small sample sizes, though slight trends indicated cat captures were most frequent during the ʻuaʻu off season and less frequent through time (2000–14). The probability of a Cat Caught event was also negatively correlated with weekly temperatures. Spatial analysis showed elevation best explained variations in probabilities of capture for rats, cats, and mongoose. Overall, predator catches were fewer at higher elevations, and of predators caught at higher elevations, the clear majority were rats. Our results are being used by HALE Endangered Wildlife Management staff to evaluate existing methods for predator control and efficacy of existing trap-based control strategies intended to protect ʻuaʻu and nēnē.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191122","collaboration":"Prepared in cooperation with Haleakalā National Park","usgsCitation":"Kelsey, E.C., Adams, J., Czapanskiy, M.F., Felis, J.J., Yee, J.L., Kaholoaa R.L., and Bailey, C.N., 2019, Trends in mammalian predator control trapping events intended to protect ground-nesting, endangered birds at Haleakalā National Park, Hawaiʻi: 2000–14: U.S. Geological Survey Open-File Report 2019–1122, 27 p., https://doi.org/10.3133/ofr20191122.","productDescription":"Report: vi, 28 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-104150","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":370049,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98RJ12I","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Trap records used to analyze trends in mammalian predator control trapping events intended to protect ground-nesting, endangered birds at Haleakalā National Park, Hawai'i (2000 - 2014)"},{"id":370036,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1122/ofr20191122.pdf","text":"Report","size":"22.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1122"},{"id":370035,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1122/coverthb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Haleakalā National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -156.275743,20.586349 ], [ -156.275743,20.795098 ], [ -156.020951,20.795098 ], [ -156.020951,20.586349 ], [ -156.275743,20.586349 ] ] ] } } ] }","contact":"<p><a data-mce-href=\"https://www.usgs.gov/centers/werc/connect\" href=\"https://www.usgs.gov/centers/werc/connect\" target=\"_blank\" rel=\"noopener\">Director</a>,<br><a href=\"https://www.usgs.gov/centers/werc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/werc\">Western Ecological Research Center</a><br><a data-mce-href=\"https://www.usgs.gov/\" href=\"https://www.usgs.gov/\" target=\"_blank\" rel=\"noopener\">U.S. Geological Survey</a><br>3020 State University Drive East<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Discussion</li><li>References Cited</li><li>Appendix 1</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2019-12-31","noUsgsAuthors":false,"publicationDate":"2019-12-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Kelsey, Emily C. 0000-0002-0107-3530 ekelsey@usgs.gov","orcid":"https://orcid.org/0000-0002-0107-3530","contributorId":206505,"corporation":false,"usgs":true,"family":"Kelsey","given":"Emily","email":"ekelsey@usgs.gov","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":774978,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, Josh 0000-0003-3056-925X josh_adams@usgs.gov","orcid":"https://orcid.org/0000-0003-3056-925X","contributorId":220468,"corporation":false,"usgs":true,"family":"Adams","given":"Josh","email":"josh_adams@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":774979,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Czapanskiy, Max F.","contributorId":220469,"corporation":false,"usgs":false,"family":"Czapanskiy","given":"Max F.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":774980,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Felis, Jonathan J. 0000-0002-0608-8950 jfelis@usgs.gov","orcid":"https://orcid.org/0000-0002-0608-8950","contributorId":4825,"corporation":false,"usgs":true,"family":"Felis","given":"Jonathan","email":"jfelis@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":774981,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yee, Julie L. 0000-0003-1782-157X julie_yee@usgs.gov","orcid":"https://orcid.org/0000-0003-1782-157X","contributorId":3246,"corporation":false,"usgs":true,"family":"Yee","given":"Julie","email":"julie_yee@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":774982,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kaholoaa, Raina L.","contributorId":220472,"corporation":false,"usgs":false,"family":"Kaholoaa","given":"Raina","email":"","middleInitial":"L.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":774983,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bailey, Cathleen Natividad","contributorId":220473,"corporation":false,"usgs":false,"family":"Bailey","given":"Cathleen","email":"","middleInitial":"Natividad","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":774984,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70207136,"text":"sir20195138 - 2019 - Hydrogeologic framework of the Treasure Valley and surrounding area, Idaho and Oregon","interactions":[],"lastModifiedDate":"2022-04-25T19:51:40.528534","indexId":"sir20195138","displayToPublicDate":"2019-12-31T11:50:54","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5138","displayTitle":"Hydrogeologic Framework of the Treasure Valley and Surrounding Area, Idaho and Oregon","title":"Hydrogeologic framework of the Treasure Valley and surrounding area, Idaho and Oregon","docAbstract":"<p>Most of the population of the Treasure Valley and the surrounding area of southwestern Idaho and easternmost Oregon depends on groundwater for domestic supply, either from domestic or municipal-supply wells. As of 2017, 41 percent of Idaho’s population was concentrated in Idaho’s portion of the Treasure Valley, and current and projected rapid population growth in the area has caused concern about the long-term sustainability of the groundwater resource. In 2016, the U.S. Geological Survey, in cooperation with the Idaho Water Resource Board and the Idaho Department of Water Resources, began a project to construct a numerical groundwater-flow model of the westernmost western Snake River Plain (WSRP) aquifer system. As part of this project, a three-dimensional hydrogeologic framework model (3D HFM) of the aquifer system was generated, primarily from lithologic data compiled from 291 well-driller reports.</p><p>Four major hydrogeologic units are shown in the 3D HFM: Coarse-grained fluvial and alluvial deposits, Pliocene-Pleistocene and Miocene basalts, fine-grained lacustrine deposits, and granitic and rhyolitic bedrock. Generally, the 3D HFM is in agreement with the geologic history of the WSRP and hydrogeologic frameworks developed by previous authors. The resolution (voxel size) of the 3D HFM is sufficient for the construction of a regional groundwater-flow model.</p><p>The major components of inflow (or recharge) to the WSRP aquifer system are seepage from irrigation canals, direct infiltration from precipitation and excess irrigation water, seepage from the Boise and Payette Rivers and Lake Lowell, and subsurface inflow from adjoining uplands. The major components of outflow (or discharge) from the aquifer system are discharge to surface water (rivers, agricultural drains, and streams), groundwater pumping, and direct evapotranspiration from groundwater.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195138","collaboration":"Prepared in cooperation with the Idaho Water Resource Board and the Idaho Department of Water Resources","usgsCitation":"Bartolino, J.R., 2019, Hydrogeologic framework of the Treasure Valley and surrounding area, Idaho and Oregon (ver. 1.1, January 2020): U.S. Geological Survey Scientific Investigations Report 2019–5138, 31 p., https://doi.org/10.3133/sir20195138.","productDescription":"Report: v, 31 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-093399","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":371171,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5138/coverthb.jpg"},{"id":371344,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5138/sir20195138_v1.1.pdf","text":"Report","size":"6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Scientific Investigations Report 2019-5138"},{"id":371345,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CAC0F6","linkHelpText":"Hydrogeologic Framework of the Treasure Valley and Surrounding Area, Idaho and Oregon"},{"id":371346,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2019/5138/sir20195138_versionHist.txt","size":"1 KB","linkFileType":{"id":2,"text":"txt"},"description":"Scientific Investigations Report 2019-5138"},{"id":399614,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109577.htm"}],"country":"United States","state":"Idaho, Oregon","otherGeospatial":"Treasure Valley and surrounding area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.1097,\n              43.1803\n            ],\n            [\n              -115.86,\n              43.1803\n            ],\n            [\n              -115.86,\n              44.0381\n            ],\n            [\n              -117.1097,\n              44.0381\n            ],\n            [\n              -117.1097,\n              43.1803\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.1: January 2020; Version 1: December 2019","contact":"<p><a href=\"https://www.usgs.gov/centers/id-water/connect\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/id-water/connect\">Director</a>,<br><a href=\"https://www.usgs.gov/centers/id-water\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/id-water\">Idaho Water Science Center</a><br><a href=\"https://www.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/\">U.S. Geological Survey</a><br>230 Collins Rd<br>Boise, Idaho 83702-4520&nbsp;</p>","tableOfContents":"<p></p><ul><li>Abstract&nbsp;</li><li>Introduction</li><li>Purpose and Scope</li><li>Description of the Study Area</li><li>Cultural Setting</li><li>Water Resources</li><li>Aquifer Nomenclature</li><li>Previous Work</li><li>Methods</li><li>Geologic Setting</li><li>Three-Dimensional Hydrogeologic Framework Model</li><li>Summary</li><li>References Cited</li></ul><br><p></p>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2019-12-31","revisedDate":"2020-01-17","noUsgsAuthors":false,"publicationDate":"2019-12-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Bartolino, James R. 0000-0002-2166-7803 jrbartol@usgs.gov","orcid":"https://orcid.org/0000-0002-2166-7803","contributorId":2548,"corporation":false,"usgs":true,"family":"Bartolino","given":"James","email":"jrbartol@usgs.gov","middleInitial":"R.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":776935,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70206004,"text":"70206004 - 2019 - Implications of aggregating daily production data on estimates of ultimate recovery from horizontal hydraulically fractured Bakken oil wells","interactions":[],"lastModifiedDate":"2020-06-01T16:48:59.279079","indexId":"70206004","displayToPublicDate":"2019-12-31T11:44:49","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Implications of aggregating daily production data on estimates of ultimate recovery from horizontal hydraulically fractured Bakken oil wells","docAbstract":"<p>The level to which data are aggregated can impact analytical and predictive modeling results. In this short paper we discuss some of our findings regarding the impacts of data aggregation on estimating change points in the production profiles of horizontal hydraulically fractured Bakken oil wells. Change points occur when production transitions from one flow regime to another. Change point determination is important because it governs calculation of ultimate recovery from these and similar wells drilled in shale plays. </p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"20th Annual conference of the International Association for Mathematical Geosciences (IAMG2019)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"20th Annual Conference of the International Association for Mathematical Geosciences (IAMG2019)","conferenceDate":"Aug 10-15, 2019","conferenceLocation":"State College, PA","language":"English","usgsCitation":"Coburn, T.C., and Attanasi, E., 2019, Implications of aggregating daily production data on estimates of ultimate recovery from horizontal hydraulically fractured Bakken oil wells, <i>in</i> 20th Annual conference of the International Association for Mathematical Geosciences (IAMG2019), State College, PA, Aug 10-15, 2019, p. 232-236.","productDescription":"5 p.","startPage":"232","endPage":"236","ipdsId":"IP-107885","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":375188,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, North Dakota","otherGeospatial":"Bakken Formation","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.7598876953125,\n              45.96260622242165\n            ],\n            [\n              -102.45849609375,\n              45.96260622242165\n            ],\n            [\n              -102.45849609375,\n              47.71345768748889\n            ],\n            [\n              -105.7598876953125,\n              47.71345768748889\n            ],\n            [\n              -105.7598876953125,\n              45.96260622242165\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Coburn, T. C.","contributorId":219832,"corporation":false,"usgs":false,"family":"Coburn","given":"T.","email":"","middleInitial":"C.","affiliations":[{"id":40076,"text":"1 University of Tulsa, School of Energy Economics, Policy and Commerce, USA,","active":true,"usgs":false}],"preferred":false,"id":773271,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Attanasi, Emil D. 0000-0001-6845-7160 attanasi@usgs.gov","orcid":"https://orcid.org/0000-0001-6845-7160","contributorId":198728,"corporation":false,"usgs":true,"family":"Attanasi","given":"Emil D.","email":"attanasi@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":773270,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70218674,"text":"70218674 - 2019 - The US Geological Survey’s Earth Mapping Resources Initiative (Earth MRI)—Providing framework geologic, geophysical, and elevation data to the nation’s critical mineral-bearing regions","interactions":[],"lastModifiedDate":"2021-09-22T16:36:39.76293","indexId":"70218674","displayToPublicDate":"2019-12-31T11:27:11","publicationYear":"2019","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":9355,"text":"Fast Times","active":true,"publicationSubtype":{"id":30}},"title":"The US Geological Survey’s Earth Mapping Resources Initiative (Earth MRI)—Providing framework geologic, geophysical, and elevation data to the nation’s critical mineral-bearing regions","docAbstract":"<p><span>New detailed mapping of the geologic resources of the Nation </span><span>has the potential to significantly close the gap in the essential </span><span>data needed to fuel a modern era of economic development and </span><span>technological innovation, while at the same time dramatically </span><span>enhancing our understanding of the fundamental way geology </span><span>impacts everyday life, from the domestic critical mineral resources </span><span>that are necessary for modern technology and the economy, </span><span>to domestic energy and water resources, geologic hazards, </span><span>agriculture, and other pressing needs. The U.S. Geological Survey </span><span>established the Earth Resources Mapping Initiative (Earth MRI) to </span><span>address the shortfall in geologic, geophysical, and elevation data </span><span>with sufficient detail to support evaluation of regions in the United </span><span>States that have potential to host critical mineral resources. The </span><span>new effort is a collaboration with the Association of American </span><span>State Geologists, who are providing new detailed geologic maps </span><span>and making available online archived data and information related </span><span>to critical mineral resources. The geophysical and lidar surveys </span><span>are being contracted through industry specialists to assure that </span><span>high-quality data are available to the public. This article provides </span><span>an overview of the Earth MRI effort with discussions on the initial </span><span>geophysical surveys funded for areas that have known potential </span><span>for rare earth element resources. Subsequent projects are being </span><span>designed to address areas that may host other critical mineral </span><span>resources.</span></p>","language":"English","publisher":"Association of American State Geologists","usgsCitation":"Day, W.C., Drenth, B.J., McCafferty, A.E., Shah, A.K., Ponce, D.A., Jones, J.V., and Grauch, V.J., 2019, The US Geological Survey’s Earth Mapping Resources Initiative (Earth MRI)—Providing framework geologic, geophysical, and elevation data to the nation’s critical mineral-bearing regions: Fast Times, v. 24, no. 5, p. 55-62.","productDescription":"8 p.","startPage":"55","endPage":"62","ipdsId":"IP-113023","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science 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,{"id":70226988,"text":"70226988 - 2019 - Conceptual framework for assessing disturbance impacts on debris-flow initiation thresholds across hydroclimatic settings","interactions":[],"lastModifiedDate":"2021-12-23T16:25:36.085154","indexId":"70226988","displayToPublicDate":"2019-12-31T10:12:35","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Conceptual framework for assessing disturbance impacts on debris-flow initiation thresholds across hydroclimatic settings","docAbstract":"<p><span>The destructive and deadly nature of debris flows has motivated research into empirical rainfall thresholds to provide situational awareness, inform early warning systems, and reduce loss of life and property. Disturbances such as wildfire and land-cover change can influence the hydrological processes of infiltration and runoff generation; in steep terrain this typically lowers empirical thresholds for debris-flow initiation. However, disturbance impacts, and the post-disturbance recovery may differ, depending on the severity, nature, extent, and duration of the disturbance, as well as on the prevailing hydroclimatic conditions. Thus, it can be difficult to predict impacts on debris-flows hazards in regions where historically such disturbances have been less frequent or severe. Given the increasing magnitude and incidence of wildfires, among other disturbances, we seek to develop a conceptual framework for assessing their impacts on debris-flow hazards across geographic regions. We characterize the severity of disturbances in terms of changes from undisturbed hydrologic functioning, including hillslope drainage and available unsaturated storage capacity, which can have contrasting influences on debris-flow initiation mechanisms in different hydroclimatic settings. We compare the timescale of disturbance-recovery cycles relative to the return period of threshold exceeding storms to describe vulnerability to post-disturbance debris flows. Similarly, we quantify resilience by comparing the timescales of disturbance-recovery cycles with those of disturbance-recurrence intervals. We illustrate the utility of these concepts using information from U.S. Geological Survey landslide monitoring sites in burned and unburned areas across the United States. Increasing severity of disturbance may influence both recovery timescales and lower the return period for debris-flow inducing storms, thus increasing the vulnerability to disturbance-related hazards while also decreasing system resilience. The proposed conceptual framework can inform future data acquisition and model development to improve debris-flow initiation thresholds in areas experiencing increasingly frequent, severe, and even overlapping landscape disturbances.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Debris-flow hazards mitigation: Mechanics, monitoring, modeling, and assessment; proceedings of the Seventh International Conference on Debris-Flow Hazards Mitigation","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Seventh International Conference on Debris-Flow Hazards Mitigation","conferenceDate":"Jun 10-13, 2019","conferenceLocation":"Golden, CO","language":"English","publisher":"Association of Environmental and Engineering Geologists","doi":"10.25676/11124/173176","usgsCitation":"Mirus, B.B., Staley, D.M., Kean, J.W., Smith, J.B., Wooten, R., McGuire, L.A., and Ebel, B., 2019, Conceptual framework for assessing disturbance impacts on debris-flow initiation thresholds across hydroclimatic settings, <i>in</i> Debris-flow hazards mitigation: Mechanics, monitoring, modeling, and assessment; proceedings of the Seventh International Conference on Debris-Flow Hazards Mitigation, Golden, CO, Jun 10-13, 2019, 8 p., https://doi.org/10.25676/11124/173176.","productDescription":"8 p.","ipdsId":"IP-105027","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":393369,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mirus, Benjamin B. 0000-0001-5550-014X bbmirus@usgs.gov","orcid":"https://orcid.org/0000-0001-5550-014X","contributorId":4064,"corporation":false,"usgs":true,"family":"Mirus","given":"Benjamin","email":"bbmirus@usgs.gov","middleInitial":"B.","affiliations":[{"id":5077,"text":"Northwest Regional Director's Office","active":true,"usgs":true},{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":829098,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Staley, Dennis M. 0000-0002-2239-3402 dstaley@usgs.gov","orcid":"https://orcid.org/0000-0002-2239-3402","contributorId":4134,"corporation":false,"usgs":true,"family":"Staley","given":"Dennis","email":"dstaley@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":829099,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":829100,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Joel B. 0000-0001-7219-7875 jbsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-7219-7875","contributorId":4925,"corporation":false,"usgs":true,"family":"Smith","given":"Joel","email":"jbsmith@usgs.gov","middleInitial":"B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":829101,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wooten, Rick","contributorId":217741,"corporation":false,"usgs":false,"family":"Wooten","given":"Rick","email":"","affiliations":[{"id":24614,"text":"North Carolina Geological Survey","active":true,"usgs":false}],"preferred":false,"id":829102,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McGuire, Luke A. 0000-0001-8178-7922 lmcguire@usgs.gov","orcid":"https://orcid.org/0000-0001-8178-7922","contributorId":203420,"corporation":false,"usgs":false,"family":"McGuire","given":"Luke","email":"lmcguire@usgs.gov","middleInitial":"A.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":829103,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ebel, Brian A. 0000-0002-5413-3963","orcid":"https://orcid.org/0000-0002-5413-3963","contributorId":211845,"corporation":false,"usgs":true,"family":"Ebel","given":"Brian A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":829104,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70195160,"text":"70195160 - 2019 - Soil microbial communities and global change","interactions":[],"lastModifiedDate":"2022-04-01T22:26:33.074383","indexId":"70195160","displayToPublicDate":"2019-12-31T10:04:00","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Soil microbial communities and global change","docAbstract":"<p><span>Soils and soil microbial communities mediate the biogeochemical processes that underly ecosystem-level changes. This chapter examines why soils and soil microbial communities are important for understanding impacts and feedbacks to global change. It discusses the technological approaches and challenges that are at the frontiers of this research area. Global change impacts on microbial communities can be categorized as press or pulse disturbances. Global increases in atmospheric temperature are among the most profound and concerning long-term changes affecting human society. The chapter focuses on the examples from Western North America, where issues such as land cover change, wildfire, and permafrost thaw are some of the most observable global change impacts. Wildfire is a natural phenomenon that lies at the basis of the process of plant succession. Recovery and regrowth of vegetation after wildfire regenerates carbon and nutrient pools, such that long-term impacts on the ecosystems may be small.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Modern soil microbiology","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Taylor & Francis Group","usgsCitation":"Waldrop, M.P., and Creamer, C., 2019, Soil microbial communities and global change, chap. <i>of</i> Modern soil microbiology, p. 331-342.","productDescription":"12 p.","startPage":"331","endPage":"342","ipdsId":"IP-084471","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":397980,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":397989,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.taylorfrancis.com/chapters/edit/10.1201/9780429059186-20/soil-microbial-communities-global-change-mark-waldrop-courtney-creamer?context=ubx&refId=a340edd4-6f21-429b-96d4-933539849372"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"van Elsas, Jan Dirk","contributorId":289592,"corporation":false,"usgs":false,"family":"van Elsas","given":"Jan","email":"","middleInitial":"Dirk","affiliations":[],"preferred":false,"id":839396,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Trevors, Jack T.","contributorId":289593,"corporation":false,"usgs":false,"family":"Trevors","given":"Jack","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":839397,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Rosado, Alexandre Soares","contributorId":289594,"corporation":false,"usgs":false,"family":"Rosado","given":"Alexandre","email":"","middleInitial":"Soares","affiliations":[],"preferred":false,"id":839398,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Nannipieri, Paolo","contributorId":289595,"corporation":false,"usgs":false,"family":"Nannipieri","given":"Paolo","email":"","affiliations":[],"preferred":false,"id":839399,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Waldrop, Mark P. 0000-0003-1829-7140 mwaldrop@usgs.gov","orcid":"https://orcid.org/0000-0003-1829-7140","contributorId":1599,"corporation":false,"usgs":true,"family":"Waldrop","given":"Mark","email":"mwaldrop@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":727250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Creamer, Courtney 0000-0001-8270-9387","orcid":"https://orcid.org/0000-0001-8270-9387","contributorId":201952,"corporation":false,"usgs":true,"family":"Creamer","given":"Courtney","email":"","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":727251,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70226986,"text":"70226986 - 2019 - Overcoming barriers to progress in seismic monitoring and characterization of debris flows and lahars","interactions":[],"lastModifiedDate":"2021-12-23T16:29:29.031603","indexId":"70226986","displayToPublicDate":"2019-12-31T09:06:53","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Overcoming barriers to progress in seismic monitoring and characterization of debris flows and lahars","docAbstract":"<p><span>Debris flows generate seismic signals that contain valuable information about events as they unfold. Though seismic waves have been used for along-channel debris-flow and lahar monitoring systems for decades, it has proven difficult to move beyond detection to more quantitative characterizations of flow parameters and event size. This is for two primary reasons: (1) our limited understanding of how the radiated wavefield relates to debris flow characteristics and dynamics, and (2) difficulties quantifying the effects of heterogeneous shallow earth structure on the observed wavefield. The latter issue, essentially our inability to sufficiently separate seismic path effects from source information, is a barrier to improving our understanding of the first issue. We review the progress that has been made toward establishing the theory, models and methods required to use seismic observations to make quantitative measurements of flows and summarize the practical, social, and scientific barriers to progress. We discuss some specific ongoing efforts to overcome some of these barriers, with a focus on how we are using large-scale seismic experiments at the U.S. Geological Survey debris-flow flume to develop methods for directly measuring path effects and to develop and validate theoretical debris flow seismicity models.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Debris-flow hazards mitigation: Mechanics, monitoring, modeling, and assessment; proceedings of the Seventh International Conference on Debris-Flow Hazards Mitigation","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Seventh International Conference on Debris-Flow Hazards Mitigation","conferenceDate":"Jun 10-13, 2019","conferenceLocation":"Golden, CO","language":"English","publisher":"Association of Environmental and Engineering Geologists","doi":"10.25676/11124/173234","usgsCitation":"Allstadt, K.E., Farin, M., Lockhart, A., McBride, S., Kean, J.W., Iverson, R.M., Logan, M., Smith, J.B., Tsai, V.C., and George, D.L., 2019, Overcoming barriers to progress in seismic monitoring and characterization of debris flows and lahars, <i>in</i> Debris-flow hazards mitigation: Mechanics, monitoring, modeling, and assessment; proceedings of the Seventh International Conference on Debris-Flow Hazards Mitigation, Golden, CO, Jun 10-13, 2019, p. 77-84, https://doi.org/10.25676/11124/173234.","productDescription":"8 p.","startPage":"77","endPage":"84","ipdsId":"IP-105030","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":393357,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Allstadt, Kate E. 0000-0003-4977-5248","orcid":"https://orcid.org/0000-0003-4977-5248","contributorId":138704,"corporation":false,"usgs":true,"family":"Allstadt","given":"Kate","email":"","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":829085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Farin, Maxime 0000-0002-0250-2499","orcid":"https://orcid.org/0000-0002-0250-2499","contributorId":221438,"corporation":false,"usgs":false,"family":"Farin","given":"Maxime","email":"","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":829086,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lockhart, Andrew 0000-0002-1591-3254 ablock@usgs.gov","orcid":"https://orcid.org/0000-0002-1591-3254","contributorId":204748,"corporation":false,"usgs":true,"family":"Lockhart","given":"Andrew","email":"ablock@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":829087,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McBride, Sara K. 0000-0002-8062-6542","orcid":"https://orcid.org/0000-0002-8062-6542","contributorId":206933,"corporation":false,"usgs":true,"family":"McBride","given":"Sara K.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":829088,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":829089,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Iverson, Richard M. 0000-0002-7369-3819 riverson@usgs.gov","orcid":"https://orcid.org/0000-0002-7369-3819","contributorId":536,"corporation":false,"usgs":true,"family":"Iverson","given":"Richard","email":"riverson@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":829090,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Logan, Matthew 0000-0002-3558-2405 mlogan@usgs.gov","orcid":"https://orcid.org/0000-0002-3558-2405","contributorId":638,"corporation":false,"usgs":true,"family":"Logan","given":"Matthew","email":"mlogan@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":829091,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Smith, Joel B. 0000-0001-7219-7875 jbsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-7219-7875","contributorId":4925,"corporation":false,"usgs":true,"family":"Smith","given":"Joel","email":"jbsmith@usgs.gov","middleInitial":"B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":829092,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tsai, Victor C. 0000-0003-1809-6672","orcid":"https://orcid.org/0000-0003-1809-6672","contributorId":199684,"corporation":false,"usgs":false,"family":"Tsai","given":"Victor","email":"","middleInitial":"C.","affiliations":[{"id":27150,"text":"Seismological Laboratory, California Institute of Technology, Pasadena, CA, USA","active":true,"usgs":false}],"preferred":false,"id":829093,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"George, David L. 0000-0002-5726-0255 dgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-5726-0255","contributorId":3120,"corporation":false,"usgs":true,"family":"George","given":"David","email":"dgeorge@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":829094,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70212791,"text":"70212791 - 2019 - Monitoring the effect of deep drawdowns of a flood control reservoir on sediment transport and dissolved oxygen, Fall Creek Lake, Oregon","interactions":[],"lastModifiedDate":"2022-01-11T17:43:58.193525","indexId":"70212791","displayToPublicDate":"2019-12-31T08:55:19","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Monitoring the effect of deep drawdowns of a flood control reservoir on sediment transport and dissolved oxygen, Fall Creek Lake, Oregon","docAbstract":"<p>Annual reservoir drawdowns at Fall Creek Lake, Oregon, have occurred for eight consecutive years from December 2012 to November 2019. The annual drawdowns are the result of the 2008 Biological Opinion of the US Army Corps of Engineers (USACE) Willamette Valley Project operations, which directed the USACE to carry out interim operational measures that would provide volitional downstream passage for endangered species act (ESA)-listed Chinook salmon. At Fall Creek Lake, the USACE modifies its operations by lowering the reservoir elevation to 690-ft, approximately 40 feet below the normal winter low-pool elevation. This action results in a runof-river scenario through the dam allowing juvenile Chinook salmon to safely pass through the regulating outlets. Monitoring of juvenile Chinook salmon in screw traps at the outlet of the dam has shown variable timing in out-migration associated with reservoir elevation, and that most of the juvenile fish exited the reservoir when the pool elevation passed 700-ft (Taylor and others, 2015). The annual drawdown has therefore been effective in providing safe downstream fish passage and has also had the collateral effect of transporting large quantities of suspended sediment to the downstream reaches of Fall Creek and the Middle Fork Willamette River. The US Geological Survey (USGS) has calculated time-series of suspended sediment concentrations (SSC) and suspended sediment loads (SSL) before, during, and after the drawdowns for six of the last nine drawdown years (water years [WY] 2013-2018), which have lasted between 5-14 days. The transport and deposition of sediment from the drawdowns has affected side-channel habitat below the dam by depositing large quantities of sand-size material resulting in streambed aggradation in several locations. The results from the USGS monitoring effort have provided important information to USACE on how the modification of their operations has affected sediment transport in the river reaches below the dam. </p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceeding of SEDHYD 2019","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"SEDHYD 2019 Conference","conferenceDate":"June 24-28, 2019","conferenceLocation":"Reno, NV","language":"English","publisher":"Federal Interagency Sedimentation and Hydrologic Modeling Conference","usgsCitation":"Schenk, L.N., and Bragg, H.M., 2019, Monitoring the effect of deep drawdowns of a flood control reservoir on sediment transport and dissolved oxygen, Fall Creek Lake, Oregon, <i>in</i> Proceeding of SEDHYD 2019, v. 5, Reno, NV, June 24-28, 2019, 8 p.","productDescription":"8 p.","ipdsId":"IP-105587","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":382592,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.sedhyd.org/2019/openconf/modules/request.php?module=oc_program&action=program.php&p=program"},{"id":382593,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Fall Creek Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.13339233398438,\n              43.74431283565998\n            ],\n            [\n              -122.45498657226561,\n              43.74431283565998\n            ],\n            [\n              -122.45498657226561,\n              44.104351509943406\n            ],\n            [\n              -123.13339233398438,\n              44.104351509943406\n            ],\n            [\n              -123.13339233398438,\n              43.74431283565998\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schenk, Liam N. 0000-0002-2491-0813 lschenk@usgs.gov","orcid":"https://orcid.org/0000-0002-2491-0813","contributorId":4273,"corporation":false,"usgs":true,"family":"Schenk","given":"Liam","email":"lschenk@usgs.gov","middleInitial":"N.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":797466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bragg, Heather M. 0000-0002-0013-4573 hmbragg@usgs.gov","orcid":"https://orcid.org/0000-0002-0013-4573","contributorId":239645,"corporation":false,"usgs":true,"family":"Bragg","given":"Heather","email":"hmbragg@usgs.gov","middleInitial":"M.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":797467,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70209331,"text":"70209331 - 2019 - The response of kelp forest organisms to spatial and temporal variation in wave energy in the California Channel Islands","interactions":[],"lastModifiedDate":"2020-04-01T08:44:31","indexId":"70209331","displayToPublicDate":"2019-12-31T08:40:53","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"The response of kelp forest organisms to spatial and temporal variation in wave energy in the California Channel Islands","docAbstract":"This report describes the spatial and temporal variation in wave height for the study system in the broader context of the Southern California Bight. A new, low-cost pressure sensor was engineered for measuring wave height and period. These sensors were placed for several months at 32 sites around the Channel Islands where long-term kelp forest monitoring occurs. Matching sensor data with CDIP wave hindcasts made it possible to correct the CDIP model hindcast to make it applicable to nearshore sites in this region.  With these corrections, annual wave energy was estimated for 88 sites where long term biotic monitoring had been conducted in the study region. These data were analyzed to assess the extent that wave energy affects species abundances and, in particular, how a reduction in wave height would affect various species.","language":"English","publisher":"BOEM","collaboration":"BOEM","usgsCitation":"Lafferty, K.D., Rassweiler, A., Gotschalk, C.C., Morton, D.N., Bell, T.W., Henderikx Freitas, F., J, K.D., Sprague, J., Johnson, C., and Washburn, L., 2019, The response of kelp forest organisms to spatial and temporal variation in wave energy in the California Channel Islands, iii, 38 p.","productDescription":"iii, 38 p.","ipdsId":"IP-113903","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":373703,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":373689,"type":{"id":15,"text":"Index Page"},"url":"https://espis.boem.gov/final%20reports/BOEM_2019-064.pdf"}],"country":"United States","state":"California ","otherGeospatial":"Channel Islands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.49255371093749,\n              33.865854454071865\n            ],\n            [\n              -119.30328369140624,\n              33.865854454071865\n            ],\n            [\n              -119.30328369140624,\n              34.10725639663118\n            ],\n            [\n              -120.49255371093749,\n              34.10725639663118\n            ],\n            [\n              -120.49255371093749,\n              33.865854454071865\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n      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0000-0002-8760-3888","orcid":"https://orcid.org/0000-0002-8760-3888","contributorId":203606,"corporation":false,"usgs":false,"family":"Rassweiler","given":"Andrew","email":"","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":786125,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gotschalk, C C","contributorId":223726,"corporation":false,"usgs":false,"family":"Gotschalk","given":"C","email":"","middleInitial":"C","affiliations":[{"id":40760,"text":"Marine Science Institute, University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":786126,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morton, D N","contributorId":223727,"corporation":false,"usgs":false,"family":"Morton","given":"D","email":"","middleInitial":"N","affiliations":[{"id":40760,"text":"Marine Science Institute, University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":786127,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bell, T W","contributorId":223728,"corporation":false,"usgs":false,"family":"Bell","given":"T","email":"","middleInitial":"W","affiliations":[{"id":40760,"text":"Marine Science Institute, University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":786128,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Henderikx Freitas, F","contributorId":223729,"corporation":false,"usgs":false,"family":"Henderikx Freitas","given":"F","email":"","affiliations":[{"id":40760,"text":"Marine Science Institute, University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":786129,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"J, Kushner D","contributorId":223730,"corporation":false,"usgs":false,"family":"J","given":"Kushner","email":"","middleInitial":"D","affiliations":[{"id":6993,"text":"Channel Islands National Park","active":true,"usgs":false}],"preferred":false,"id":786130,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sprague, J","contributorId":223731,"corporation":false,"usgs":false,"family":"Sprague","given":"J","email":"","affiliations":[{"id":6993,"text":"Channel Islands National Park","active":true,"usgs":false}],"preferred":false,"id":786131,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Johnson, C.G.","contributorId":177752,"corporation":false,"usgs":false,"family":"Johnson","given":"C.G.","email":"","affiliations":[],"preferred":false,"id":786132,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Washburn, L","contributorId":223732,"corporation":false,"usgs":false,"family":"Washburn","given":"L","affiliations":[{"id":40760,"text":"Marine Science Institute, University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":786133,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70225631,"text":"70225631 - 2019 - Asian carp population modeling to support an Adaptive Management framework, USGS Contribution","interactions":[],"lastModifiedDate":"2021-11-03T13:39:12.825943","indexId":"70225631","displayToPublicDate":"2019-12-31T08:36:33","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Asian carp population modeling to support an Adaptive Management framework, USGS Contribution","docAbstract":"<p>The Spatially Explicit Asian carp Population (SEAcarP) model was developed to inform management and research decisions with the goal of minimizing the abundance of Bighead Carp and Silver Carp (collectively referred to as “Asian carp” in this document) in the upper Illinois River waterway, thereby reducing risk of population expansion toward the Great Lakes and reducing potential impacts on native species. This model provides an objective, data-driven approach to maximize return on investment of management actions and facilitates defining research and monitoring priorities. </p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"2019 Asian carp interim summary report","largerWorkSubtype":{"id":3,"text":"Organization Series"},"language":"English","publisher":"Asian Carp Regional Coordinating Committee","usgsCitation":"Erickson, R.A., 2019, Asian carp population modeling to support an Adaptive Management framework, USGS Contribution, chap. <i>of</i> 2019 Asian carp interim summary report, p. 175-176.","productDescription":"2 p.","startPage":"175","endPage":"176","ipdsId":"IP-120441","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":391318,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":391078,"type":{"id":11,"text":"Document"},"url":"https://invasivecarp.us/Documents/Interim-Summary-Report-2019.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":826005,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70223489,"text":"70223489 - 2019 - Diel feeding and movement activity of Northern Snakehead Channa argus","interactions":[],"lastModifiedDate":"2021-08-30T13:31:06.021598","indexId":"70223489","displayToPublicDate":"2019-12-31T08:30:48","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Diel feeding and movement activity of Northern Snakehead Channa argus","docAbstract":"<p><span>Understanding the diel activity of a species can shed light on potential interactions with other species and inform management practices. To understand the diel activity of Northern Snakehead&nbsp;</span><i>Channa argus</i><span>, feeding habits and movement patterns were observed. Two hundred seventy-three Northern Snakehead were captured by boat electrofishing during May and June of 2007 and 2008. Their gut contents were extracted and preserved. The level of digestion of each prey item was estimated from fresh (1) to &gt;50% digested (4) or empty (5). Random forest models were used to predict feeding activity based on time of day, tide level, date, water temperature, fish total length, and sex. Diel movement patterns were assessed by implanting Northern Snakehead with radio transmitters and monitoring them every 1.5 h for 24 h in both March and July 2007. Movement rates were compared between March and July and among four daily time periods. Independent variables accounted for only 6% of the variation in feeding activity; however, temporal feeding patterns were apparent. No fresh items were observed in guts between 12:30 and 7:30 am, and the proportion of empty stomachs increased at the end of May coinciding with the onset of spawning. Overall, fish moved greater distances during the July tracking period compared to March. Fish showed a greater propensity to move during daylight hours than at night during the March tracking period. A similar but nonsignificant (</span><i>P<span>&nbsp;</span></i><span>&gt; 0.05) pattern was observed in July. Movement and feeding data both indicated greater activity during daylight hours than at night, suggesting that Northern Snakehead is a diurnal species. Based on our preliminary findings, we hypothesize that a) diurnal species are more susceptible than nocturnal species to predation by Northern Snakehead and b) Northern Snakehead are more likely to compete for food with diurnal than nocturnal predators.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"American Fisheries Society symposium 89","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"The First International Snakehead Symposium","conferenceDate":"Jul 17-19, 2019","conferenceLocation":"Alexandria, VA","language":"English","publisher":"American Fisheries Society","doi":"10.47886/9781934874585.ch6","usgsCitation":"Lapointe, N., Saylor, R., and Angermeier, P.L., 2019, Diel feeding and movement activity of Northern Snakehead Channa argus, <i>in</i> American Fisheries Society symposium 89, Alexandria, VA, Jul 17-19, 2019, 13 p., https://doi.org/10.47886/9781934874585.ch6.","productDescription":"13 p.","ipdsId":"IP-103396","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":388658,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Virginia","otherGeospatial":"lower Potomac River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.33551025390624,\n              38.46864331036051\n            ],\n            [\n              -76.87408447265625,\n              38.46864331036051\n            ],\n            [\n              -76.87408447265625,\n              38.9914373369788\n            ],\n            [\n              -77.33551025390624,\n              38.9914373369788\n            ],\n            [\n              -77.33551025390624,\n              38.46864331036051\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lapointe, Nicolas W. R.","contributorId":264893,"corporation":false,"usgs":false,"family":"Lapointe","given":"Nicolas W. R.","affiliations":[{"id":54575,"text":"Canadian Wildlife Federation","active":true,"usgs":false}],"preferred":false,"id":822151,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Saylor, Ryan K.","contributorId":264894,"corporation":false,"usgs":false,"family":"Saylor","given":"Ryan K.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":822152,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Angermeier, Paul L. 0000-0003-2864-170X biota@usgs.gov","orcid":"https://orcid.org/0000-0003-2864-170X","contributorId":166679,"corporation":false,"usgs":true,"family":"Angermeier","given":"Paul","email":"biota@usgs.gov","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":822150,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70236885,"text":"70236885 - 2019 - Significant seismic behavior features of two tall buildings inferred from response records","interactions":[],"lastModifiedDate":"2022-09-21T13:21:38.68656","indexId":"70236885","displayToPublicDate":"2019-12-31T08:10:53","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Significant seismic behavior features of two tall buildings inferred from response records","docAbstract":"<p>In this paper, recent studies of recorded responses of behavior and performances of two instrumented tall buildings subjected to long-period motions from events that originate at far distances (e.g. 100-800km) are presented. Significant results indicate that (a) computed average drift ratios are substantial (~0.5%), and (b) there is permanent shift of fundamental frequencies for a tall building which was hundreds of km away from the epicenter of a large (M9.0) earthquake. In addition, (c) there are significant local site effects and basin effects, some causing resonance of buildings, (d) beating effect are observed particularly in elongated responses whereby elongated responses can contribute to low-cycle fatigue, and significantly, and (e) identified critical viscous damping percentages are low (&lt;3%). This is consistent with recent recommendations of the Los Angeles Tall Buildings Design Council (LATBDC) 1 and the Tall Buildings Initiative (TBI) of Pacific Earthquake Engineering Center (PEER)2, and (f) beating effects are observed particularly in elongated responses whereby elongated responses can contribute to low-cycle fatigue. </p><p>Analyses of one tall building from Japan affected during the 11 March 2011 M9.0 Tohoku earthquake, and one in Los Angeles, California during the 17 January 1994 M6.7 Northridge earthquake are presented. A variety of methods including spectral analyses, system identification, and time-frequency functions are used to extract dynamic response characteristics (modal frequencies and damping), drift ratios, and effect of site conditions including basin effects. </p><p>In general, data-driven analyses show that, the two tall buildings (as well as many others not reported herein) exhibit (a) lower damping than those used in current design process analyses (&lt;3%) and (b) a beating effect and significant basin effect. </p><p>These are significant: (1) Additional damping generating elements can be considered during design processes to decrease the prolonged and amplified responses. (2) Basin effects are not considered during design, it is important to at least consider looking into such effects as these can result in resonance and amplified responses as shown in recent studies.</p>","conferenceTitle":"12th Canadian Conference on Earthquake Engineering","conferenceDate":"Jun 17-20, 2019","conferenceLocation":"Quebec City, Canada","language":"English","publisher":"Canadian Association for Earthquake Engineering (CAEE)","usgsCitation":"Celebi, M., 2019, Significant seismic behavior features of two tall buildings inferred from response records, 12th Canadian Conference on Earthquake Engineering, Quebec City, Canada, Jun 17-20, 2019, 8 p.","productDescription":"8 p.","ipdsId":"IP-104455","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":407130,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":407114,"type":{"id":15,"text":"Index Page"},"url":"https://www.caee.ca/12cceeproceedings/"}],"country":"Japan, United States","city":"Los Angeles, Osaka","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              135.43533325195312,\n              34.615126683462194\n            ],\n            [\n              135.57815551757812,\n              34.615126683462194\n            ],\n            [\n              135.57815551757812,\n              34.73709847578162\n            ],\n            [\n              135.43533325195312,\n              34.73709847578162\n            ],\n            [\n              135.43533325195312,\n              34.615126683462194\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.2843017578125,\n              34.020794936018724\n            ],\n            [\n              -118.19915771484374,\n              34.020794936018724\n            ],\n            [\n              -118.19915771484374,\n              34.07143110146331\n            ],\n            [\n              -118.2843017578125,\n              34.07143110146331\n            ],\n            [\n              -118.2843017578125,\n              34.020794936018724\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Celebi, Mehmet 0000-0002-4769-7357 celebi@usgs.gov","orcid":"https://orcid.org/0000-0002-4769-7357","contributorId":200969,"corporation":false,"usgs":true,"family":"Celebi","given":"Mehmet","email":"celebi@usgs.gov","affiliations":[],"preferred":true,"id":852464,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70208458,"text":"70208458 - 2019 - Contrasting demographic responses of toad populations to regionally synchronous pathogen (Batrachochytrium dendrobatidis) dynamics","interactions":[],"lastModifiedDate":"2023-06-23T14:22:42.469706","indexId":"70208458","displayToPublicDate":"2019-12-31T07:47:54","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Contrasting demographic responses of toad populations to regionally synchronous pathogen (<i>Batrachochytrium dendrobatidis</i>) dynamics","title":"Contrasting demographic responses of toad populations to regionally synchronous pathogen (Batrachochytrium dendrobatidis) dynamics","docAbstract":"<p><i>Batrachochytrium dendrobatidis</i><span>&nbsp;(Bd), a fungal&nbsp;pathogen&nbsp;that causes amphibian&nbsp;chytridiomycosis, has been implicated in population declines globally. To better understand how Bd affects survival and how threats vary spatially and temporally, we conducted long-term (range: 9–13&nbsp;yrs) capture-recapture studies of boreal toads (</span><span><i>Anaxyrus boreas</i></span><span>) from three similar communities in western Montana. We also estimated temporal and spatial variation in population-level Bd prevalence among populations and the potential role of co-occurring Columbia spotted frogs (</span><span><i>Rana</i><i>&nbsp;luteiventris</i></span><span>) in driving infection dynamics. Hierarchical models that accounted for detection uncertainty revealed Bd reduced apparent survival in one population that declined, was unassociated with survival in one stationary population, and was associated with increased survival in one population that is near extirpation. Despite different effects of Bd on hosts, pathogen prevalence was similar and synchronous across the populations separated by 111–176&nbsp;km. Variation in Bd prevalence was driven partly by seasonal temperatures, but opposite the direction expected. Bd prevalence also decreased sharply over time across all populations, unrelated to trends in temperature, boreal toad survival, or infection dynamics of co-occurring Columbia spotted frogs. Toad Bd prevalence increased when frog abundance was high, consistent with an amplification effect. However, Bd prevalence of toads decreased as Bd prevalence of spotted frogs increased, consistent with a dilution effect. Our results reveal surprising variation in responses to Bd and show pathogen prevalence is not predictive of survival or population risk, and they illustrate the complexity in understanding disease dynamics across multiple populations.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2019.108373","usgsCitation":"Hossack, B.R., Russell, R., and McCaffery, R.M., 2019, Contrasting demographic responses of toad populations to regionally synchronous pathogen (Batrachochytrium dendrobatidis) dynamics: Biological Conservation, v. 241, 108373, 10 p.; Data release, https://doi.org/10.1016/j.biocon.2019.108373.","productDescription":"108373, 10 p.; Data release","ipdsId":"IP-106168","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":372208,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":418324,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9JMV5BT","text":"USGS data release","description":"USGS data release","linkHelpText":"Boreal toad survival data in relation to Bd status and community composition"}],"country":"United States","otherGeospatial":"Western Montana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.70800781249999,\n              47.45780853075031\n            ],\n            [\n              -114.52148437499999,\n              46.5286346952717\n            ],\n            [\n              -114.60937499999999,\n              45.521743896993634\n            ],\n            [\n              -113.8623046875,\n              45.55252525134013\n            ],\n            [\n              -112.8955078125,\n              44.37098696297173\n            ],\n            [\n              -111.1376953125,\n              44.5278427984555\n            ],\n            [\n              -110.9619140625,\n              45.058001435398275\n            ],\n            [\n              -107.9296875,\n              44.933696389694674\n            ],\n            [\n              -107.92968749999999,\n              48.980216985374966\n            ],\n            [\n              -116.36718749999997,\n              48.980216985374966\n            ],\n            [\n              -115.70800781249999,\n              47.45780853075031\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"241","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hossack, Blake R. 0000-0001-7456-9564 blake_hossack@usgs.gov","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":1177,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake","email":"blake_hossack@usgs.gov","middleInitial":"R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":781971,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Russell, Robin E. 0000-0001-8726-7303","orcid":"https://orcid.org/0000-0001-8726-7303","contributorId":219536,"corporation":false,"usgs":true,"family":"Russell","given":"Robin E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":781972,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCaffery, Rebecca M. 0000-0002-0396-0387","orcid":"https://orcid.org/0000-0002-0396-0387","contributorId":211539,"corporation":false,"usgs":true,"family":"McCaffery","given":"Rebecca","middleInitial":"M.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":781973,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70208239,"text":"70208239 - 2019 - Integrating the sociology of space with geospatial semantics relation properties for data graphs","interactions":[],"lastModifiedDate":"2024-09-16T14:21:18.545056","indexId":"70208239","displayToPublicDate":"2019-12-31T07:41:44","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Integrating the sociology of space with geospatial semantics relation properties for data graphs","docAbstract":"This research posits that socially constructed spatial relations address concepts of interactions instead of intersections, human/tool agents instead of physical processes, and broader ranges of geographical outcomes.  The hypothesis is that social space can be represented by using patterns of logic relations between sets of entities. The data corpus of spatial relations was extracted from geographic term definitions. The relations were further analyzed as primitives using Case Grammar Matrix models. These findings are being related to Web Ontology Language (OWL) properties. This approach allows an extensive range of natural language terms to instantiate ontology sub-types, while supporting inferences to study their logical implications.","language":"English","publisher":"University of California-Santa Barbara","usgsCitation":"Varanka, D.E., 2019, Integrating the sociology of space with geospatial semantics relation properties for data graphs, 3 p.","productDescription":"3 p.","ipdsId":"IP-111976","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":371991,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Varanka, Dalia E. 0000-0003-2857-9600 dvaranka@usgs.gov","orcid":"https://orcid.org/0000-0003-2857-9600","contributorId":1296,"corporation":false,"usgs":true,"family":"Varanka","given":"Dalia","email":"dvaranka@usgs.gov","middleInitial":"E.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true},{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true}],"preferred":true,"id":781130,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70215595,"text":"70215595 - 2019 - Predation strategies of larval clownfish capturing evasive copepod prey","interactions":[],"lastModifiedDate":"2020-10-26T12:28:15.695811","indexId":"70215595","displayToPublicDate":"2019-12-31T07:24:52","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Predation strategies of larval clownfish capturing evasive copepod prey","docAbstract":"<p class=\"abstract_block\">Fish larvae depend on finding and capturing enough prey for rapid growth during the planktonic phase. The diet of many fish larvae is dominated by copepods, small crustaceans that are highly sensitive to hydrodynamic disturbances and possess strong escape responses. We examined how fish larvae with immature jaws, musculature and fins capture such evasive prey. The kinematics of feeding attempts by larval clownfish<span>&nbsp;</span><i>Amphiprion ocellaris</i><span>&nbsp;</span>on 3 developmental stages of copepod<span>&nbsp;</span><i>Bestiolina similis</i><span>&nbsp;</span>were investigated using high-speed videography. A stealthy approach brought the fish larva within ~1 mm of the copepod; shortest distances were observed in early larvae (1 to 5 d post-hatch [dph]) attacking immature copepods. Peak speeds during strikes increased with fish age and copepod developmental stage (150 to 250 mm s<sup>-1</sup>), with time to capture &lt;8 ms on average. Most successful captures (70%) were of copepods that failed to initiate an escape response during the strike. If a copepod initiated an escape, capture success decreased to ~50% for nauplii and copepodites and 25% for adults. Adult copepods were more likely to attempt an escape response than copepodites or nauplii. Prey stage and the interaction between strike distance and speed were the parameters that best fit a logistic regression model to the observed captures and escapes. The successful switch to larger and more evasive copepod prey by<span>&nbsp;</span><i>A. ocellaris</i><span>&nbsp;</span>larvae did not occur until 7 dph and coincided with ontogenetic changes (post-flexion) and a predatory strategy that included shorter approach phases and greater strike speeds.</p>","language":"English","publisher":"Inter Research","doi":"10.3354/meps12888","usgsCitation":"Robinson, H.E., Strickler, J.R., Henderson, M., Hartline, D.K., and Lenz, P.H., 2019, Predation strategies of larval clownfish capturing evasive copepod prey: Marine Ecology Progress Series, v. 614, p. 125-146, https://doi.org/10.3354/meps12888.","productDescription":"22 p.","startPage":"125","endPage":"146","ipdsId":"IP-102113","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":379735,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"614","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Robinson, H. Eve","contributorId":243964,"corporation":false,"usgs":false,"family":"Robinson","given":"H.","email":"","middleInitial":"Eve","affiliations":[{"id":48777,"text":"Pacific Biosciences Research Center, HI","active":true,"usgs":false}],"preferred":false,"id":802894,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Strickler, J. Rudi","contributorId":243965,"corporation":false,"usgs":false,"family":"Strickler","given":"J.","email":"","middleInitial":"Rudi","affiliations":[{"id":48778,"text":"University of Wisconsin-Milwaukee, WI","active":true,"usgs":false}],"preferred":false,"id":802895,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Henderson, Mark J. 0000-0002-2861-8668 mhenderson@usgs.gov","orcid":"https://orcid.org/0000-0002-2861-8668","contributorId":198609,"corporation":false,"usgs":true,"family":"Henderson","given":"Mark J.","email":"mhenderson@usgs.gov","affiliations":[],"preferred":false,"id":802896,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hartline, Daniel K.","contributorId":243966,"corporation":false,"usgs":false,"family":"Hartline","given":"Daniel","email":"","middleInitial":"K.","affiliations":[{"id":48777,"text":"Pacific Biosciences Research Center, HI","active":true,"usgs":false}],"preferred":false,"id":802897,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lenz, Petra H.","contributorId":243967,"corporation":false,"usgs":false,"family":"Lenz","given":"Petra","email":"","middleInitial":"H.","affiliations":[{"id":48777,"text":"Pacific Biosciences Research Center, HI","active":true,"usgs":false}],"preferred":false,"id":802898,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70206051,"text":"sir20195115 - 2019 - A probabilistic assessment methodology for carbon dioxide enhanced oil recovery and associated carbon dioxide retention","interactions":[],"lastModifiedDate":"2022-04-25T18:38:51.233329","indexId":"sir20195115","displayToPublicDate":"2019-12-31T07:20:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5115","displayTitle":"A Probabilistic Assessment Methodology for Carbon Dioxide Enhanced Oil Recovery and Associated Carbon Dioxide Retention","title":"A probabilistic assessment methodology for carbon dioxide enhanced oil recovery and associated carbon dioxide retention","docAbstract":"<p>The U.S. Energy Independence and Security Act of 2007 authorized the U.S. Geological Survey (USGS) to conduct a national assessment of the potential volume of hydrocarbons recoverable by injection of carbon dioxide (CO<sub>2</sub>) into known oil reservoirs with historical production. The implementation of CO<sub>2</sub> enhanced oil recovery (CO<sub>2</sub>-EOR) techniques could increase the U.S. recoverable hydrocarbon resource base. Use of anthropogenic CO<sub>2</sub> in the CO<sub>2</sub>-EOR process could reduce the amount of CO<sub>2</sub> released to the atmosphere by allowing a percentage of the injected CO<sub>2</sub> to remain in reservoir pore space once occupied by produced oil and water or by CO<sub>2</sub> dissolution in oil and water in the reservoir.</p><p>The USGS has developed a new methodology for the national assessment of technically recoverable oil resources that may be produced by using current CO<sub>2</sub>-EOR technologies. The methodology relies on a proprietary reservoir-level database, the comprehensive resource database (CRD). The CRD incorporates commercially available geologic and engineering data, and USGS-defined play averages or province averages of reservoir data were used to populate incomplete records. Values from the CRD are used to estimate the original oil in place (<i>OOIP</i>) for each reservoir. The inputs are reviewed by USGS geologists, particularly when play or province averages have been used. Monte Carlo simulation is used to produce a numerical probability distribution for the <i>OOIP</i> for each reservoir, with the mean defined as the value of the <i>OOIP</i> in the CRD. A reservoir model (CO<sub>2</sub> Prophet, developed for the U.S. Department of Energy by Texaco, Inc.) is used to determine the incremental recovery factors for oil during the CO<sub>2</sub>-EOR process, on an individual reservoir basis. The model is also used to estimate the volume of CO<sub>2</sub> remaining in the reservoir after the CO<sub>2</sub>-EOR process is complete. Empirical decline curve analysis and comparison with data from published papers and reports on CO<sub>2</sub>-EOR projects are utilized to substantiate the simulation results. Numerical distributions of recovery factors are prepared for variations in the reservoir lithology (clastic or carbonate). The distribution of incremental oil is computed by multiplying the appropriate probability distribution of recovery factors by the individual reservoir distribution of the <i>OOIP</i>. A way to estimate the CO<sub>2</sub> remaining in the reservoir after the completion of the CO<sub>2</sub>-EOR process is also included in the methodology.</p><p>Assessment results will be aggregated to play, petroleum province, regional, and national scales. This assessment methodology has been tested on the Horseshoe Atoll, Upper Pennsylvanian-Wolfcampian play in the Permian Basin Province in Texas; the play consists of 27 reservoirs having at least 2 billion barrels of <i>OOIP</i> that are amenable to the CO<sub>2</sub>-EOR process. The play was selected as a test case because CO<sub>2</sub>-EOR production data and published reports are available for several reservoirs within the play. Preliminary estimates of oil recoverable by implementation of miscible CO<sub>2</sub>-EOR are comparable to those reported in the literature and obtained by reservoir decline curve analysis.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195115","usgsCitation":"Warwick, P.D., Attanasi, E.D., Olea, R.A., Blondes, M.S., Freeman, P.A., Brennan, S.T., Merrill, M.D., Verma, M.K., Karacan, C.Ö., Shelton, J.L., Lohr, C.D., Jahediesfanjani, H., and Roueché, J.N., 2019, A probabilistic assessment methodology for carbon dioxide enhanced oil recovery and associated carbon dioxide retention: U.S. Geological Survey Scientific Investigations Report 2019–5115, 51 p., https://doi.org/10.3133/sir20195115.","productDescription":"x, 51 p.","numberOfPages":"66","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-069832","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":399600,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109570.htm"},{"id":370863,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5115/sir20195115.pdf","text":"Report","size":"8.81 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5115"},{"id":370862,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5115/coverthb.jpg"}],"contact":"<p><a href=\"https://www.usgs.gov/centers/eersc\" data-mce-href=\"https://www.usgs.gov/centers/eersc\">Eastern Energy Resources Science Center</a><br>12201 Sunrise Valley Drive<br>956 National Center<br>Reston, VA 20192</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>1 Introduction</li><li>2 Information on CO<sub>2</sub>-EOR and Related Topics</li><li>3 Operational Assumptions</li><li>4 Methodology</li><li>5 Summary</li><li>6 References Cited</li><li>7 Glossary</li><li>Appendix 1. Input Data Variables for the Assessment of Oil Reservoirs that are Candidates for the Application of the CO<sub>2</sub>-EOR Process</li><li>Appendix 2. Sensitivity Analysis of Recovery Factors of the Original Oil in Place for the Representative Carbonate and Clastic Reservoirs of the Horseshoe Atoll Play of the Permian Basin</li><li>Appendix 3. Probabilistic Estimates and Aggregation—A Pilot Case Study</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2019-12-31","noUsgsAuthors":false,"publicationDate":"2019-12-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Warwick, Peter D. 0000-0002-3152-7783","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":205928,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":773410,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Attanasi, Emil D. 0000-0001-6845-7160 attanasi@usgs.gov","orcid":"https://orcid.org/0000-0001-6845-7160","contributorId":198728,"corporation":false,"usgs":true,"family":"Attanasi","given":"Emil D.","email":"attanasi@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":773412,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Olea, Ricardo A. 0000-0003-4308-0808 rolea@usgs.gov","orcid":"https://orcid.org/0000-0003-4308-0808","contributorId":208109,"corporation":false,"usgs":true,"family":"Olea","given":"Ricardo","email":"rolea@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":773413,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blondes, Madalyn S. 0000-0003-0320-0107 mblondes@usgs.gov","orcid":"https://orcid.org/0000-0003-0320-0107","contributorId":3598,"corporation":false,"usgs":true,"family":"Blondes","given":"Madalyn S.","email":"mblondes@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":773414,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Freeman, Philip A. 0000-0002-0863-7431","orcid":"https://orcid.org/0000-0002-0863-7431","contributorId":206294,"corporation":false,"usgs":true,"family":"Freeman","given":"Philip A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":773415,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brennan, Sean T. 0000-0002-9381-6863 sbrennan@usgs.gov","orcid":"https://orcid.org/0000-0002-9381-6863","contributorId":205926,"corporation":false,"usgs":true,"family":"Brennan","given":"Sean","email":"sbrennan@usgs.gov","middleInitial":"T.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":773416,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Merrill, Matthew D. 0000-0003-3766-847X","orcid":"https://orcid.org/0000-0003-3766-847X","contributorId":205698,"corporation":false,"usgs":true,"family":"Merrill","given":"Matthew D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":773417,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Verma, Mahendra K. 0000-0002-1100-5099 mverma@usgs.gov","orcid":"https://orcid.org/0000-0002-1100-5099","contributorId":208003,"corporation":false,"usgs":true,"family":"Verma","given":"Mahendra","email":"mverma@usgs.gov","middleInitial":"K.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":773411,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Karacan, C. Ozgen 0000-0002-0947-8241","orcid":"https://orcid.org/0000-0002-0947-8241","contributorId":201991,"corporation":false,"usgs":true,"family":"Karacan","given":"C.","email":"","middleInitial":"Ozgen","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":773421,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Shelton, Jenna L. 0000-0002-1377-0675 jlshelton@usgs.gov","orcid":"https://orcid.org/0000-0002-1377-0675","contributorId":5025,"corporation":false,"usgs":true,"family":"Shelton","given":"Jenna L.","email":"jlshelton@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":773422,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lohr, Celeste D. 0000-0001-6287-9047 clohr@usgs.gov","orcid":"https://orcid.org/0000-0001-6287-9047","contributorId":3866,"corporation":false,"usgs":true,"family":"Lohr","given":"Celeste D.","email":"clohr@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":773420,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Jahediesfanjani, Hossein 0000-0001-6281-5166","orcid":"https://orcid.org/0000-0001-6281-5166","contributorId":201000,"corporation":false,"usgs":false,"family":"Jahediesfanjani","given":"Hossein","affiliations":[],"preferred":false,"id":773418,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Roueche, Jacqueline N. 0000-0002-9387-9899","orcid":"https://orcid.org/0000-0002-9387-9899","contributorId":214932,"corporation":false,"usgs":false,"family":"Roueche","given":"Jacqueline","email":"","middleInitial":"N.","affiliations":[{"id":37768,"text":"USGS Contractor","active":true,"usgs":false}],"preferred":false,"id":773419,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70212697,"text":"70212697 - 2019 - Analog experiments of lava flow emplacement","interactions":[],"lastModifiedDate":"2020-08-26T13:21:50.661146","indexId":"70212697","displayToPublicDate":"2019-12-31T07:12:47","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":793,"text":"Annals of Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Analog experiments of lava flow emplacement","docAbstract":"<p>Laboratory experiments that simulate lava flows have been in use by volcanologists for many years. The behavior of flows in the lab, where “eruption” parameters, material properties, and environmental settings are tightly controlled, provides insight into the influence of various factors on flow evolution. A second benefit of laboratory lava flows is to provide a set of observations with which numerical models of flow emplacement can be tested. Models of lava flow emplacement vary in mathematical approach, physical assumptions, and computational cost. Nonetheless, all models require thorough testing and evaluation, and laboratory experiments produce an excellent test for models.</p><p>This paper provides a primer on modern analog laboratory lava flow experiments. It reviews scaling con- siderations and provides quantitative information meant to guide future experimentalists in designing their experiments to be relevant to natural processes. Traditional and novel laboratory techniques are described, including a discussion of current limitations. New insights from recent experiments highlight the impact of topographic conditions and highlight the importance of considering bed roughness, major obstacles, and slope breaks. The influence of episodic or non-uniform effusion rate is demonstrated through recent experi- mental works. Lastly, the paper discusses several open questions about lava flow emplacement and the ways in which future improvements in experimental methods, such as the ability to utilize three-phase suspensions and materials with complex rheologies and to image the interior of flows could help answer these.</p>","language":"English","publisher":"National Institute of Geophysics and Volcanology (INGV)","doi":"10.4401/ag-7843","usgsCitation":"Lev, E., Rumpf, M.E., and Dietterich, H., 2019, Analog experiments of lava flow emplacement: Annals of Geophysics, v. 62, no. 2, VO225, 21 p., https://doi.org/10.4401/ag-7843.","productDescription":"VO225, 21 p.","ipdsId":"IP-103534","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":458876,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4401/ag-7843","text":"Publisher Index Page"},{"id":377875,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lev, Einat 0000-0002-8174-0558","orcid":"https://orcid.org/0000-0002-8174-0558","contributorId":194355,"corporation":false,"usgs":false,"family":"Lev","given":"Einat","email":"","affiliations":[{"id":27369,"text":"Lamont-Doherty Earth Observatory at Columbia University","active":true,"usgs":false}],"preferred":false,"id":797292,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rumpf, M. Elise 0000-0001-7906-2623","orcid":"https://orcid.org/0000-0001-7906-2623","contributorId":217992,"corporation":false,"usgs":true,"family":"Rumpf","given":"M.","email":"","middleInitial":"Elise","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":797294,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dietterich, Hannah R. 0000-0001-7898-4343","orcid":"https://orcid.org/0000-0001-7898-4343","contributorId":212771,"corporation":false,"usgs":true,"family":"Dietterich","given":"Hannah R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":797293,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70208580,"text":"70208580 - 2019 - Genetically-informed seed transfer zones for Pleuraphis jamesii, Sphaeralcea parvifolia, and Sporobolus cryptandrus across the Colorado Plateau and adjacent regions","interactions":[],"lastModifiedDate":"2020-02-20T06:51:01","indexId":"70208580","displayToPublicDate":"2019-12-31T06:48:01","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Genetically-informed seed transfer zones for Pleuraphis jamesii, Sphaeralcea parvifolia, and Sporobolus cryptandrus across the Colorado Plateau and adjacent regions","docAbstract":"(Massatti) Introduction: The majority of native plant materials (NPMs) utilized for restoration purposes are developed for widely distributed species that provide a variety of ecosystem services (Wood et al. 2015; Butterfield et al. 2017). Disturbed ecosystems benefit from the use of appropriate NPMs, which are those that display ecological fitness at the restoration site, are compatible with conspecifics and other members of the plant community, and that do not demonstrate invasive tendencies (Jones 2013). Furthermore, the use of appropriate NPMs can help address specific environmental challenges, rejuvenate ecosystem function, and improve the delivery of ecosystem services (Hughes 2008). While many NPMs have been developed for restoration (e.g., Aubry et al. 2005), there is interest in broadening the diversity of species available and the geographic representation of sources to provide appropriate choices in relation to the characteristics of any restoration site. In addition, researchers are providing guidance to managers and practitioners regarding how best to transfer NPMs across the landscape. For example, guidance on seed transfer has been derived from genecological studies, which utilize common gardens to correlate phenotypic variation to environmental gradients (summarized in Kilkenny 2015), molecular studies, which identify putative adaptive genetic loci and infer environmental drivers of variation (Shryock et al. 2017), and climate modeling studies, which can provide guidance when species-specific data are unavailable (Bower et al. 2014; Doherty et al. 2017). All of these approaches intend to improve the long-term viability of NPMs at restoration sites, thereby improving outcomes and stretching limiting restoration resources (e.g., time and money).","language":"English","publisher":"Bureau of Land Management","usgsCitation":"Massatti, R., 2019, Genetically-informed seed transfer zones for Pleuraphis jamesii, Sphaeralcea parvifolia, and Sporobolus cryptandrus across the Colorado Plateau and adjacent regions, 11 p.","productDescription":"11 p.","ipdsId":"IP-113144","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":372440,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":372412,"type":{"id":15,"text":"Index Page"},"url":"https://www.blm.gov/sites/blm.gov/files/GWRC_STZ_report1.pdf"}],"country":"United States","otherGeospatial":"Colorado Plateau ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.42138671875,\n              39.57182223734374\n            ],\n            [\n              -118.23486328125,\n              36.65079252503471\n            ],\n            [\n              -111.7529296875,\n              33.76088200086917\n            ],\n            [\n              -107.1826171875,\n              33.137551192346145\n            ],\n            [\n              -104.0185546875,\n              33.284619968887675\n            ],\n            [\n              -104.7216796875,\n              39.027718840211605\n            ],\n            [\n              -107.70996093749999,\n              40.111688665595956\n            ],\n            [\n              -111.4013671875,\n              41.77131167976407\n            ],\n            [\n              -114.5654296875,\n              42.52069952914966\n            ],\n            [\n              -117.2900390625,\n              42.06560675405716\n            ],\n            [\n              -118.87207031250001,\n              40.84706035607122\n            ],\n            [\n              -119.42138671875,\n              39.57182223734374\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Massatti, Robert 0000-0001-5854-5597","orcid":"https://orcid.org/0000-0001-5854-5597","contributorId":207294,"corporation":false,"usgs":true,"family":"Massatti","given":"Robert","email":"","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":782587,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70206261,"text":"sir20195110 - 2019 - Streambed scour evaluations and conditions at selected bridge sites in Alaska, 2016–17","interactions":[],"lastModifiedDate":"2023-04-13T10:56:36.045601","indexId":"sir20195110","displayToPublicDate":"2019-12-30T15:47:16","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5110","displayTitle":"Streambed Scour Evaluations and Conditions at Selected Bridge Sites in Alaska, 2016–17","title":"Streambed scour evaluations and conditions at selected bridge sites in Alaska, 2016–17","docAbstract":"<p>Stream stability, flood frequency, and streambed scour potential were evaluated at 20 Alaskan river- and stream-spanning bridges lacking a quantitative scour analysis or having unknown foundation details. Three of the bridges had been assessed shortly before the study described in this report but were re-assessed using different methods or data. Channel instability related to mining may affect scour at one site, while channel instability related to flow distribution changes can be seen at one site. One bridge was closed because of abutment scour prior to the study. Otherwise, channels generally showed stable bed elevations.</p><p>Contraction and abutment scour were calculated for all 20 bridges, and pier scour was calculated for the 2 bridges that had piers. Vertical contraction (pressure flow) scour was calculated for one site at which the modeled water surface was higher than the superstructure of the bridge. Hydraulic variables for the scour calculations were derived from one-dimensional and two-dimensional hydraulic models of the 1- and 0.2-percent annual exceedance probability floods (also known as the 100- and 500-year floods, respectively). Scour also was calculated for large recorded floods at two sites.</p><p>At many sites, overflow of road approaches relieves the bridge during floods and lessens the potential for scour. Two-dimensional hydraulic models are superior to one-dimensional hydraulic models at distributing flow between bridges, road approaches, and floodplains, and therefore likely produce more reasonable scour values at sites with substantial floodplain flow.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195110","collaboration":"Prepared in cooperation with the Alaska Department of Transportation and Public Facilities","usgsCitation":"Beebee, R.A., Dworsky, K.L., and Knopp, S.J., 2019, Streambed scour evaluations and conditions at selected bridge Sites in Alaska, 2016–17 (version 1.1, April 2023): U.S. Geological Survey Scientific Investigations Report 2019-5110, 32 p., https://doi.org/10.3133/sir20195110.","productDescription":"Report: vi, 32 p.; Data Release","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-099321","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":399597,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109571.htm"},{"id":370872,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5110/coverthb2.jpg"},{"id":370873,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5110/sir20195110.pdf","text":"Report","size":"2.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5110"},{"id":415671,"rank":5,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2019/5110/sir20195110_RevisionHistory.txt","description":"SIR 2019-5110 Version History"},{"id":370874,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LUTFHZ","linkHelpText":"Tabular input/output data and model files for 19 hydraulic models for streambed scour evaluations at selected bridge sites, Alaska, 2016–17"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.41259765625,\n              59.01794033995248\n            ],\n            [\n              -144.77783203125,\n              59.01794033995248\n            ],\n            [\n              -144.77783203125,\n              64.97006438589436\n            ],\n            [\n              -155.41259765625,\n              64.97006438589436\n            ],\n            [\n              -155.41259765625,\n              59.01794033995248\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.1: April 2023; Version 1.0: December 2019","contact":"<p><a href=\"https://www.usgs.gov/centers/asc/connect\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/asc/connect\">Director</a>,<br><a href=\"https://www.usgs.gov/centers/asc/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/asc/\">Alaska Science Center</a><br><a href=\"https://www.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/\">U.S. Geological Survey</a><br>4210 University Drive<br>Anchorage, Alaska 99508</p>","tableOfContents":"<p></p><ul><li>Abstract</li><li>Introduction</li><li>Study Approach</li><li>Stream Stability and Geomorphic Assessment</li><li>Flood History and Frequency Analysis</li><li>Hydraulic Model Development</li><li>Stream Bathymetry, Topography, and Bridge Geometry Surveys</li><li>Discharge Measurements for Calibration</li><li>Grain-Size Analysis</li><li>Hydraulic Model Development</li><li>Scour Calculations</li><li>Comparisons of Results for Bridges with Both One-Dimensional and Two-Dimensional Models</li><li>Summary and Conclusions</li><li>Acknowledgments</li><li>References Cited</li><li>Glossary</li><li>Appendix 1. Stream Stability Cross Sections</li></ul><p></p>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2019-12-30","revisedDate":"2023-04-12","noUsgsAuthors":false,"publicationDate":"2019-12-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Beebee, Robin A. 0000-0002-2976-7294 rbeebee@usgs.gov","orcid":"https://orcid.org/0000-0002-2976-7294","contributorId":5778,"corporation":false,"usgs":true,"family":"Beebee","given":"Robin","email":"rbeebee@usgs.gov","middleInitial":"A.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":773964,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dworsky, Karenth L. 0000-0002-3287-6934 kdworsky@usgs.gov","orcid":"https://orcid.org/0000-0002-3287-6934","contributorId":200851,"corporation":false,"usgs":true,"family":"Dworsky","given":"Karenth","email":"kdworsky@usgs.gov","middleInitial":"L.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":773965,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knopp, Schyler J. 0000-0002-3750-1373 sknopp@usgs.gov","orcid":"https://orcid.org/0000-0002-3750-1373","contributorId":200852,"corporation":false,"usgs":true,"family":"Knopp","given":"Schyler","email":"sknopp@usgs.gov","middleInitial":"J.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":false,"id":773966,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70203456,"text":"sir20195001 - 2019 - Severity and extent of alterations to natural streamflow regimes based on hydrologic metrics in the conterminous United States, 1980–2014","interactions":[],"lastModifiedDate":"2022-04-22T21:11:02.782667","indexId":"sir20195001","displayToPublicDate":"2019-12-30T07:30:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5001","displayTitle":"Severity and Extent of Alterations to Natural Streamflow Regimes Based on Hydrologic Metrics in the Conterminous United States, 1980-2014","title":"Severity and extent of alterations to natural streamflow regimes based on hydrologic metrics in the conterminous United States, 1980–2014","docAbstract":"Alteration of the natural streamflow regime by land and water management, such as land-cover change and dams, is associated with aquatic ecosystem degradation. The severity and geographic extent of streamflow alteration at regional and national scales, however, remain largely unquantified. The primary goal of this study is to characterize the severity and extent of alterations to natural streamflow regimes for 1980–2014 based on hydrologic metrics at 3,355 U.S. Geological Survey streamgages in the conterminous United States. Twelve hydrologic metrics with known relevance to aquatic ecosystem health were used to characterize the streamflow regime. Alterations to the 12 hydrologic metrics were quantified by taking ratios of the metrics calculated from observed daily streamflow records divided by the same metrics predicted for natural conditions by random forest statistical models. Some level of streamflow alteration (diminishment or inflation of hydrologic metrics) compared to natural conditions was indicated at about 80 percent of the assessed streamgages across the conterminous United States. The severity of alteration differed among ecoregions because of differences in dominant land and water management practices. Finally, when compared over the period 1980–2014, climate variability generally played a minor role in the alteration of streamflows across the United States when compared to the effects of land and water management.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195001","usgsCitation":"Eng, K., Carlisle, D.M., Grantham, T.E., Wolock, D.M., and Eng, R.L., 2019, Severity and extent of alterations to natural streamflow regimes based on hydrologic metrics in the conterminous United States, 1980–2014: U.S. Geological Survey Scientific Investigations Report 2019–5001, 25 p., https://doi.org/10.3133/sir20195001.","productDescription":"Report: iv, 25 p.; Data Release","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-099228","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":370492,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/cir1461","text":"Circular 1461","linkHelpText":"- Flow Modification in the Nation's Streams and Rivers"},{"id":363900,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5001/sir20195001.pdf","text":"Report","size":"3.09 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5001"},{"id":363899,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5001/coverthb.jpg"},{"id":363901,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ULGVLI","text":"USGS data release","description":"USGS data release","linkHelpText":"Hydrologic Metric Changes Across the Conterminous United States"},{"id":399534,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109569.htm"}],"country":"United States","otherGeospatial":"Conterminous United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n 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-102.216796875,\n              29.22889003019423\n            ],\n            [\n              -97.55859375,\n              25.48295117535531\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Chief, <a href=\"mailto: gs_b17c@usgs.gov\" data-mce-href=\"mailto: gs_b17c@usgs.gov\">Analysis and Prediction Branch</a><br>Integrated Modeling and Prediction Division<br>Water Resources Mission Area<br>U.S. Geological Survey, Mail Stop 415<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Severity and Extent of Alterations to Natural Streamflow Regimes</li><li>Synthesis of Alterations to Natural Streamflow Regimes</li><li>Summary</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2019-12-26","noUsgsAuthors":false,"publicationDate":"2019-12-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Eng, Ken 0000-0001-6838-5849 keng@usgs.gov","orcid":"https://orcid.org/0000-0001-6838-5849","contributorId":3580,"corporation":false,"usgs":true,"family":"Eng","given":"Ken","email":"keng@usgs.gov","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":762759,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":762760,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grantham, Theodore E.","contributorId":198855,"corporation":false,"usgs":false,"family":"Grantham","given":"Theodore E.","affiliations":[{"id":6643,"text":"University of California - Berkeley","active":true,"usgs":false}],"preferred":false,"id":762761,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wolock, David M. 0000-0002-6209-938X dwolock@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":540,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"dwolock@usgs.gov","middleInitial":"M.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":762762,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eng, Rosaly L.","contributorId":215594,"corporation":false,"usgs":false,"family":"Eng","given":"Rosaly","email":"","middleInitial":"L.","affiliations":[{"id":39290,"text":"Oakton High School, VA","active":true,"usgs":false}],"preferred":false,"id":762763,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70211341,"text":"70211341 - 2019 - Post-collapse gravity increase at the summit of Kīlauea Volcano, Hawaiʻi","interactions":[],"lastModifiedDate":"2020-07-27T15:04:13.162493","indexId":"70211341","displayToPublicDate":"2019-12-28T10:01:56","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Post-collapse gravity increase at the summit of Kīlauea Volcano, Hawaiʻi","docAbstract":"We conducted gravity surveys of the summit area of Kīlauea Volcano, Hawaiʻi, in November 2018 and March 2019, with the goal of determining whether there was any mass change at depth following the volcano's May–August 2018 caldera collapse. Surface deformation between the two surveys was minimal, but we measured a gravity increase (maximum 44 μGal) centered on the caldera that can be modeled as mass accumulation in a region ~1 km beneath the surface. We interpret this mass increase to be mostly magma accumulation in void space that was created during the summit collapse. Caldera uplift was evident by April 2019, indicating that the magma volume had reached a point where pressurization could be sustained. Modeled gravity change suggests a maximum magma storage rate at Kīlauea's summit during November 2018 to March 2019 that is much less than the pre‐2018 magma supply rate to the volcano.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019GL084901","usgsCitation":"Poland, M.P., de Zeeuw-van Dalfsen, E., Bagnardi, M., and Johanson, I.A., 2019, Post-collapse gravity increase at the summit of Kīlauea Volcano, Hawaiʻi: Geophysical Research Letters, v. 46, no. 24, p. 14430-14439, https://doi.org/10.1029/2019GL084901.","productDescription":"10 p.","startPage":"14430","endPage":"14439","ipdsId":"IP-111004","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":458882,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019gl084901","text":"Publisher Index Page"},{"id":376713,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.29483795166016,\n              19.39212483416422\n            ],\n            [\n              -155.23441314697266,\n              19.39212483416422\n            ],\n            [\n              -155.23441314697266,\n              19.44134189745716\n            ],\n            [\n              -155.29483795166016,\n              19.44134189745716\n            ],\n            [\n              -155.29483795166016,\n              19.39212483416422\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"46","issue":"24","noUsgsAuthors":false,"publicationDate":"2019-12-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":146118,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","email":"mpoland@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":793925,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"de Zeeuw-van Dalfsen, Elske 0000-0003-2527-4932","orcid":"https://orcid.org/0000-0003-2527-4932","contributorId":217967,"corporation":false,"usgs":false,"family":"de Zeeuw-van Dalfsen","given":"Elske","email":"","affiliations":[{"id":39727,"text":"KNMI","active":true,"usgs":false}],"preferred":false,"id":793926,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bagnardi, Marco","contributorId":124560,"corporation":false,"usgs":false,"family":"Bagnardi","given":"Marco","affiliations":[{"id":5112,"text":"University of Miami","active":true,"usgs":false}],"preferred":false,"id":793927,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johanson, Ingrid A. 0000-0002-6049-2225","orcid":"https://orcid.org/0000-0002-6049-2225","contributorId":215613,"corporation":false,"usgs":true,"family":"Johanson","given":"Ingrid","email":"","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":793928,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70209964,"text":"70209964 - 2019 - Catastrophic landscape modification from a massive landslide tsunami in Taan Fiord, Alaska","interactions":[],"lastModifiedDate":"2020-05-07T12:51:41.964537","indexId":"70209964","displayToPublicDate":"2019-12-28T07:40:39","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Catastrophic landscape modification from a massive landslide tsunami in Taan Fiord, Alaska","docAbstract":"The October 17th, 2015 Taan Fiord landslide and tsunami generated a runup of 193 m, nearly an order of magnitude greater than most previously surveyed tsunamis. To date, most post-tsunami surveys are from earthquake-generated tsunamis and the geomorphic signatures of landslide tsunamis or their potential for preservation are largely uncharacterized. Additionally, clear modifications described during previous post-tsunami surveys are often ephemeral and unlikely to be preserved. Documented geomorphic modifications of several low gradient fan deltas within Taan Fiord make it an excellent laboratory for characterizing signatures of a landslide tsunami event. Geomorphic changes to fan deltas in Taan Fiord caused by the landslide-generated tsunami included complete vegetation loss over more than 0.6 km2 of fan surfaces, formation of steep fan front scarps up to 10 m high, extensive local alterations of fan topography, and formation of new tsunami return-flow channels. Two relatively stable fan deltas in Taan Fiord were heavily vegetated prior to the Taan event and may preserve features of tsunami modification for decades to centuries. If this is the case, fan deltas may be a previously unrecognized location for preservation of tsunami signatures in the recent past. Fans in poorly monitored regions, such as Greenland, could thus hold evidence of previously unidentified recent landslide tsunami events.","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2019.107029","collaboration":"","usgsCitation":"Bloom, C.K., MacInnes, B., Higman, B., Shugar, D., Venditti, J., Richmond, B.M., and Bilderback, E.L., 2019, Catastrophic landscape modification from a massive landslide tsunami in Taan Fiord, Alaska: Geomorphology, v. 353, 107029, 12 p., https://doi.org/10.1016/j.geomorph.2019.107029.","productDescription":"107029, 12 p.","ipdsId":"IP-109761","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":374532,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Taan Fiord","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -141.74560546874997,\n              59.833775202184206\n            ],\n            [\n              -141.064453125,\n              59.833775202184206\n            ],\n            [\n              -141.064453125,\n              60.261617082844616\n            ],\n            [\n              -141.74560546874997,\n              60.261617082844616\n            ],\n            [\n              -141.74560546874997,\n              59.833775202184206\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"353","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bloom, Colin K","contributorId":224586,"corporation":false,"usgs":false,"family":"Bloom","given":"Colin","email":"","middleInitial":"K","affiliations":[{"id":40892,"text":"Central Washington University Dept. of Geological Sciences, Ellensburg, WA, USA","active":true,"usgs":false}],"preferred":false,"id":788608,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"MacInnes, Breanyn","contributorId":192477,"corporation":false,"usgs":false,"family":"MacInnes","given":"Breanyn","email":"","affiliations":[],"preferred":false,"id":788609,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Higman, Bretwood","contributorId":224587,"corporation":false,"usgs":false,"family":"Higman","given":"Bretwood","affiliations":[{"id":40893,"text":"Ground Truth Trekking, Seldovia, AK, USA","active":true,"usgs":false}],"preferred":false,"id":788610,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shugar, Dan H. 0000-0002-6279-8420","orcid":"https://orcid.org/0000-0002-6279-8420","contributorId":224588,"corporation":false,"usgs":false,"family":"Shugar","given":"Dan H.","affiliations":[{"id":40894,"text":"University of Calgary, Calgary, Alberta, Canada","active":true,"usgs":false}],"preferred":false,"id":788611,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Venditti, Jeremy G. 0000-0002-2876-4251","orcid":"https://orcid.org/0000-0002-2876-4251","contributorId":197757,"corporation":false,"usgs":false,"family":"Venditti","given":"Jeremy G.","affiliations":[],"preferred":false,"id":788612,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Richmond, Bruce M. 0000-0002-0056-5832 brichmond@usgs.gov","orcid":"https://orcid.org/0000-0002-0056-5832","contributorId":2459,"corporation":false,"usgs":true,"family":"Richmond","given":"Bruce","email":"brichmond@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":788638,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bilderback, Eric L.","contributorId":224589,"corporation":false,"usgs":false,"family":"Bilderback","given":"Eric","email":"","middleInitial":"L.","affiliations":[{"id":40895,"text":"National Park Service, Geologic Resources Division, Denver, CO, USA","active":true,"usgs":false}],"preferred":false,"id":788614,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70209222,"text":"70209222 - 2019 - Some experiments in extreme-value statistical modeling of magnetic superstorm intensities","interactions":[],"lastModifiedDate":"2020-03-24T13:54:18","indexId":"70209222","displayToPublicDate":"2019-12-27T13:53:08","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3456,"text":"Space Weather","active":true,"publicationSubtype":{"id":10}},"title":"Some experiments in extreme-value statistical modeling of magnetic superstorm intensities","docAbstract":"In support of projects for forecasting and mitigating the deleterious eﬀects of extreme space-weather storms, an examination is made of the intensities of magnetic superstorms recorded in the Dst index time series (1957-2016). Modiﬁed peak-over-threshold and solar-cycle, block-maximum sampling of the Dst time series are performed to obtain compi-lations of storm-maximum −Dstm intensity values. Lognormal, upper-limit lognormal, generalized Pareto, and generalized extreme-value model distributions are ﬁtted to the−Dstm data using a maximum-likelihood algorithm. All four candidate models provide good representations of the data. Comparisons of the statistical signiﬁcance and good-ness of ﬁts of the various models gives no clear indication as to which model is best. The statistical models are used to extrapolate to extreme-value intensities, such as would be expected (on average) to occur once per century. An upper-limit lognormal ﬁt to peak-over-threshold −Dstm data above a superstorm threshold of 283 nT gives a 100-year ex-trapolated intensity of 542 nT and a 68% conﬁdence interval (obtained by bootstrap re-sampling) of [466, 583] nT. An upper-limit lognormal ﬁt to solar-cycle, block-maximum−DstBM data gives a 9-solar-cycle (approximately 100-year) extrapolated intensity of 553 nT. The Dst data are found to be insuﬃcient for providing usefully accurate esti-mates of a statistically theoretical upper limit for magnetic storm intensity. Secular change in storm intensities is noted, as is a need for improved estimates of pre-1957 magnetic storm intensities.","language":"English","publisher":"Wiley","doi":"10.1029/2019SW002255","usgsCitation":"Love, J.J., 2019, Some experiments in extreme-value statistical modeling of magnetic superstorm intensities: Space Weather, v. 18, no. 1, e2019SW002255, https://doi.org/10.1029/2019SW002255.","productDescription":"e2019SW002255","ipdsId":"IP-113786","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":458884,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019sw002255","text":"Publisher Index Page"},{"id":373485,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":785445,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
]}