Historical training and operational activities at Joint Base Cape Cod (JBCC) on western Cape Cod, Massachusetts, have resulted in the release of contaminants into an underlying glacial aquifer that is the sole source of water to the surrounding communities. Remedial systems have been installed to contain and remove contamination from the aquifer. Groundwater withdrawals for public supply are expected to increase as the region continues to urbanize. Increases in water-supply withdrawals and wastewater return flow likely will affect the hydrologic system around JBCC and could affect the transport of any contamination that may remain in the aquifer following remediation of contamination from the JBCC. The U.S. Geological Survey, in cooperation with the Air Force Civil Engineer Center, developed a numerical, steady-state regional model of the Sagamore flow lens on western Cape Cod and evaluated the potential effects of future (2030) groundwater withdrawals on water levels, streamflows, hydraulic gradients, and advective transport near the JBCC.
The aquifer consists generally of sandy sediments underlain by impermeable bedrock and is bounded laterally by a freshwater/saltwater interface. Data on the altitude of the bedrock surface, position of the freshwater/saltwater interface, lithology of the aquifer, spatial distribution of recharge, and hydrologic boundaries were incorporated into the three-dimensional, finite-difference groundwater flow model.
Some inputs into the numerical model—aquifer properties, leakances, and recharge—are represented as parameters to facilitate estimation of optimal parameter values in an inverse calibration. A hybrid parameterization scheme, with both zones of piecewise constancy and pilot points, is used to represent hydraulic conductivity; other adjustable parameters include recharge, boundary leakance, and porosity. Data on water levels, the distribution of subsurface contamination, and groundwater ages were compiled, evaluated, and used to develop observations of long-term average hydraulic gradients and advective-transport patterns. These observations of steady-state hydrologic conditions were combined with the parameterized groundwater model in an inverse calibration to estimate model parameters that best fit the observations.
Current (2010) and future (2030) conditions were simulated in the calibrated model to characterize the groundwater flow system and to determine potential effects of increased groundwater withdrawals on advective-transport patterns at the JBCC. Groundwater flow and advective transport are radially outward from a water-table divide in the northern part of the JBCC; flow diverges from the divide toward all points of the compass. Most groundwater flow and contaminant transport occur in shallow parts of the aquifer. On average, about one-half of the groundwater flux occurs in the shallowest 20 percent of the saturated thickness; shallow flow is even more predominant near streams and lakes. Projected (2030) increases in groundwater withdrawals decrease water levels by a maximum of about 1.2 feet in the northern part of the JBCC; drawdowns exceeding 1 foot generally are limited to areas near the largest increases in withdrawals, such as in the northern part of the JBCC, near Long Pond in Falmouth, and in eastern Barnstable. Streamflow decreases average about 6 percent; the largest decreases are in areas with the largest drawdowns. Changes in hydraulic-gradient directions at the water table exceed 1 degree in about 13 percent of the aquifer, generally near groundwater divides where gradient magnitudes are small and near large groundwater withdrawals. Predictions of advective transport from randomly selected locations at the water table are similar for current (2010) and future (2030) groundwater withdrawals. The results indicate that projected increases in groundwater withdrawals affect water levels and streamflows, but effects on hydraulic gradients and advective transport at the JBCC likely are small.
Several underlying assumptions inherent in the model, including observations and weights used in the calibration, representation of local-scale heterogeneity, and simulation of the freshwater/saltwater interface, could affect model calibration and predictions; these assumptions were evaluated with alternative models and alternative inverse calibrations. Eight alternative calibrations were performed in which different, but reasonable, observations and weights were used. The preferred calibrated model had the best overall fit to the observations.
Fine-grained silty sediments occur in many parts of the aquifer, and silt lenses can locally affect hydraulic gradients. A set of alternative models in which silts were represented with different correlation distances and hydraulic conductivities indicated that explicitly representing silt lenses could affect model calibration but that the implicit representation of local-scale heterogeneity may be sufficient at the regional scale to represent regional-scale hydraulic gradients. For the coastal boundary, two alternative models representing silty and sandy seabeds and their associated interface positions were developed to test the importance of the assumed coastal-boundary condition. The two alternative models resulted in different predictions of streamflow—streamflows increase with smaller (silty) seabed leakances. However, predictions of advective transport, particularly near the JBCC, generally were similar between the alternative and preferred calibrated models, indicating that the seabed leakance and associated interface position at the coastal boundary does not affect simulations of advective transport in inland parts of the aquifer.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185139","collaboration":"Prepared in cooperation with the Air Force Civil Engineer Center","usgsCitation":"Walter, D.A., McCobb, T.D., and Fienen, M.N., 2019, Use of a numerical model to simulate the hydrologic system and transport of contaminants near Joint Base Cape Cod, western Cape Cod, Massachusetts: U.S. Geological Survey Scientific Investigations Report 2018–5139, 98 p., https://doi.org/10.3133/sir20185139.","productDescription":"Report: xi, 98 p.; Data Release","numberOfPages":"114","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-077209","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":362939,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F77P8XCT ","text":"USGS data release ","description":"USGS data release ","linkHelpText":"MODFLOW–2005 and MODPATH Used to Simulate the Hydrologic System and Transport of Contaminants Near Joint Base Cape Cod, Western Cape Cod, Massachusetts"},{"id":437495,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F77P8XCT","text":"USGS data release","linkHelpText":"MODFLOW2005 and MODPATH used to simulate the hydrologic system and transport contaminants near Joint Base Cape Cod, Western Cape Cod, Massachusetts"},{"id":362937,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5139/coverthb2.jpg"},{"id":362938,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5139/sir20185139.pdf","text":"Report","size":"43.8 MB ","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5139"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Cape Cod","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.026611328125,\n 41.21172151054787\n ],\n [\n -69.840087890625,\n 41.21172151054787\n ],\n [\n -69.840087890625,\n 42.21224516288584\n ],\n [\n -71.026611328125,\n 42.21224516288584\n ],\n [\n -71.026611328125,\n 41.21172151054787\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New England Water Science Center
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331 Commerce Way, Suite 2
Pembroke, NH 03275
The uplift history of the Colorado Plateau has been debated for over a century with still no unified hypotheses for the cause, timing, and rate of uplift. 40Ar/39Ar and K/Ar dating of recurrent basaltic volcanism over the past ∼6 Ma within the Virgin River drainage system, southwest Utah, northwest Arizona, and southern Nevada, provides a way to reconstruct paleoprofiles and quantify differential river incision across the boundary faults of the Colorado Plateau–Basin and Range boundary. We compare differential incision data with patterns of channel steepness, bedrock erodibility, basaltic migration, and mantle velocity structure to understand the birth and evolution of the Virgin River system.
New detrital sanidine ages constrain the arrival of the Virgin River across the Virgin Mountains to less than 5.9 Ma. Virgin River incision rates and amounts show an eastward stair-step increase in bedrock incision across multiple N-S–trending normal faults. Using block incision values away from fault-related flexures, average bedrock incision rates are near zero since 4.6 Ma in the Lower Colorado River corridor, 23 m/Ma from 6.8 to 3.6 Ma in the Lake Mead block, 85 m/Ma from 3 to 0.4 Ma in the combined St. George and Hurricane blocks, and 338 m/Ma from 1 to 0.1 Ma in the Zion block. Steady incision within each block is documented by incision constraints that span these age ranges. We test two end-member hypotheses to explain the observed differential incision magnitudes and rates along the Virgin River system over the past ∼5 Ma: (1) as a measure of mantle-driven differential uplift of the Colorado Plateau relative to sea level; or (2) due to river integration across previously uplifted topography and differential rock types with down-dropping of Transition Zone blocks but no post–5 Ma uplift.
We favor headwater uplift of the Colorado Plateau because basalt-preserved paleoprofiles indicate that eastern fault blocks have been the “active” blocks that moved upwards relative to western blocks with little base-level change of the lower Colorado River corridor in the past 4.6 Ma. Block-to-block differential incision adds cumulatively such that the Zion block (Colorado Plateau edge) has been deeply incised 880–1200 m (∼338 m/Ma) over the 2.6–3.6 Ma period of Hurricane fault neotectonic movement, which has a slip magnitude of 1100 m. Mantle-driven uplift is implicated by a strong correlation throughout the Virgin River drainage between high normalized channel steepness (ksn) and low underlying mantle velocity, whereas there is a weaker correlation between high ksn and resistant lithologies. Basaltic volcanism has migrated northeastward at a rate of ∼18 km/Ma parallel to the Virgin River between ca. 13 and 0.5 Ma, also suggesting a mantle-driven mechanism for the combined epeirogenic uplift of the western Colorado Plateau, recurrent slip on its bounding faults, and headward propagation and differential incision of the Virgin River. Thus, we interpret the Virgin River to be a <5 Ma disequilibrium river system responding to ongoing upper-mantle modification and related basalt extraction that has driven ∼1 km of young (and ongoing) surface uplift of the western Colorado Plateau.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02019.1","usgsCitation":"Walk, C., Karlstrom, K., Crow, R.S., and Heizler, M., 2019, Birth and evolution of the Virgin River fluvial system: ∼1 km of post–5 Ma uplift of the western Colorado Plateau: Geosphere, v. 15, no. 3, p. 759-782, https://doi.org/10.1130/GES02019.1.","productDescription":"24 p.","startPage":"759","endPage":"782","ipdsId":"IP-102339","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":467690,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02019.1","text":"Publisher Index Page"},{"id":380958,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Nevada, Utah","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.927734375,\n 35.460669951495305\n ],\n [\n -111.6650390625,\n 35.460669951495305\n ],\n [\n -111.6650390625,\n 38.09998264736481\n ],\n [\n -115.927734375,\n 38.09998264736481\n ],\n [\n -115.927734375,\n 35.460669951495305\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"15","issue":"3","noUsgsAuthors":false,"publicationDate":"2019-04-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Walk, Cory","contributorId":245362,"corporation":false,"usgs":false,"family":"Walk","given":"Cory","email":"","affiliations":[{"id":16658,"text":"UNM","active":true,"usgs":false}],"preferred":false,"id":806037,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karlstrom, Karl","contributorId":245363,"corporation":false,"usgs":false,"family":"Karlstrom","given":"Karl","affiliations":[{"id":16658,"text":"UNM","active":true,"usgs":false}],"preferred":false,"id":806038,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crow, Ryan S. 0000-0002-2403-6361 rcrow@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-6361","contributorId":5792,"corporation":false,"usgs":true,"family":"Crow","given":"Ryan","email":"rcrow@usgs.gov","middleInitial":"S.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":806039,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heizler, Matt","contributorId":245364,"corporation":false,"usgs":false,"family":"Heizler","given":"Matt","affiliations":[{"id":7026,"text":"New Mexico Tech","active":true,"usgs":false}],"preferred":false,"id":806040,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70203113,"text":"70203113 - 2019 - Carbon dioxide enhanced oil recovery and residual oil zone studies at the U.S. Geological Survey","interactions":[],"lastModifiedDate":"2019-05-01T10:23:33","indexId":"70203113","displayToPublicDate":"2019-04-17T10:23:23","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Carbon dioxide enhanced oil recovery and residual oil zone studies at the U.S. Geological Survey","docAbstract":"The U.S. Geological Survey (USGS) is preparing a national resource assessment of the potential hydrocarbons recoverable after injection of carbon dioxide (CO2) into conventional oil reservoirs in the United States. The implementation of CO2-enhanced oil recovery (CO2-EOR) techniques can increase hydrocarbon production, and lead to incidental retention of CO2 in reservoir pore space allowing long-term storage of anthropogenic CO2. A Comprehensive Resource Database (CRD) containing proprietary data on location, geologic, petrophysical, and reservoir parameters, plus production and well counts for major oil and gas reservoirs in onshore areas and State waters of the conterminous United States and Alaska, was developed to support the USGS assessment. Residual oil zones (ROZs) also can provide potential pore space for long-term storage of anthropogenic CO2. However, ROZs are not included in the upcoming USGS national CO2-EOR assessment because assessment methods for ROZs still are being developed. Additional ROZ CO2-EOR and CO2 retention data and reservoir simulations are needed to calibrate national ROZ assessment estimates.
","conferenceTitle":"14th International Conference on Greenhouse Gas Control Technologies, GHGT-14","conferenceDate":"October 21-25, 2018","conferenceLocation":"Melbourne, Australia","language":"English","publisher":"Social Science Research Network (SSRN)","usgsCitation":"Warwick, P., Attanasi, E., Blondes, M., Brennan, S.T., Buursink, M., Doolan, C.A., Freeman, P., Jahediesfanjani, H., Karacan, C.O., Lohr, C., Merrill, M., Olea, R.A., Roueche, J.N., Shelton, J., Slucher, E., Varela, B.A., and Verma, M.K., 2019, Carbon dioxide enhanced oil recovery and residual oil zone studies at the U.S. Geological Survey, 14th International Conference on Greenhouse Gas Control Technologies, GHGT-14, Melbourne, Australia, October 21-25, 2018, p. 1-4.","productDescription":"4 p.","startPage":"1","endPage":"4","ipdsId":"IP-100919","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":363428,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":363097,"type":{"id":15,"text":"Index Page"},"url":"https://ssrn.com/abstract=3366202"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"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":761225,"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":761226,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":761227,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":761228,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buursink, Marc L. 0000-0001-6491-386X","orcid":"https://orcid.org/0000-0001-6491-386X","contributorId":203357,"corporation":false,"usgs":true,"family":"Buursink","given":"Marc L.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":761229,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Doolan, Colin A. 0000-0002-7595-7566 cdoolan@usgs.gov","orcid":"https://orcid.org/0000-0002-7595-7566","contributorId":3046,"corporation":false,"usgs":true,"family":"Doolan","given":"Colin","email":"cdoolan@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":761230,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":761231,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"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":761232,"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":761233,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"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":761234,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"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":761235,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"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":761236,"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":761237,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"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":761238,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Slucher, Ernie 0000-0002-5865-5734 eslucher@usgs.gov","orcid":"https://orcid.org/0000-0002-5865-5734","contributorId":214933,"corporation":false,"usgs":true,"family":"Slucher","given":"Ernie","email":"eslucher@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":761239,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Varela, Brian A. 0000-0001-9849-6742 bvarela@usgs.gov","orcid":"https://orcid.org/0000-0001-9849-6742","contributorId":178091,"corporation":false,"usgs":true,"family":"Varela","given":"Brian","email":"bvarela@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":761240,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"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":761241,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70203741,"text":"70203741 - 2019 - Eastern Carpenter Bee (Hymenoptera: Apidae): Nest structure, nest cell provisions, and trap nest acceptance in Rhode Island","interactions":[],"lastModifiedDate":"2019-06-07T14:56:31","indexId":"70203741","displayToPublicDate":"2019-04-13T14:40:47","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1536,"text":"Environmental Entomology","active":true,"publicationSubtype":{"id":10}},"title":"Eastern Carpenter Bee (Hymenoptera: Apidae): Nest structure, nest cell provisions, and trap nest acceptance in Rhode Island","docAbstract":"Analysis of pollen provisions in Xylocopa virginica (L.) nests in southern Rhode Island showed that this species produced pollen loaves from 21 different genera of plants in 2016, 19 in 2017, and 39 in 2018. Antirrhinium majus L. (garden snapdragon) pollen was the most common type collected in all three years (21.4%). Overall, wind-pollinated tree pollen comprised 22.1% of all pollen loaves. Blueberry pollen was a minor component of pollen loaves (0.1%), despite abundant blueberry plants nearby. Mean values of X. virginica nest measurements (tunnel length 15.4 ± 1.2 cm, width 15.0 ± 0.5 mm, and cell length 17.7 ± 0.3 mm) were similar to those reported in previous studies. Only 2 of the 216 trap nests deployed in 2017 were occupied by 11 X. virginica bees (9 females and 2 males). However, 17 nests contained 230 Osmia taurus Smith, 6 nests contained 73 O. cornifrons (Radoszkowski), and 1 nest contained 8 O. lignaria Say. Thirty-four nests (15.7%) were occupied by 151 grass-carrying wasps, Isodontia sp. and 6 vespid wasps occupied three nests (1.4%) in 2017. In 2018, 4 of 96 trap nests were occupied by carpenter bees. Understanding the nesting and foraging habits of X. virginica will help us to manage natural populations for pollination services.
","language":"English","publisher":"Oxford University Press","doi":"10.1093/ee/nvz032","usgsCitation":"Tucker, S.K., Ginsberg, H., and Alm, S.R., 2019, Eastern Carpenter Bee (Hymenoptera: Apidae): Nest structure, nest cell provisions, and trap nest acceptance in Rhode Island: Environmental Entomology, v. 48, no. 3, p. 702-710, https://doi.org/10.1093/ee/nvz032.","productDescription":"9 p.","startPage":"702","endPage":"710","ipdsId":"IP-104447","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":490061,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.uri.edu/pls_facpubs/47","text":"External Repository"},{"id":364523,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Rode 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Big Burn, Lily Lake, and Lester Ranch Sites, Bear River Fault Zone, Utah and Wyoming","title":"Stratigraphic and structural relations in trench exposures and geomorphology at the Big Burn, Lily Lake, and Lester Ranch sites, Bear River Fault Zone, Utah and Wyoming","docAbstract":"This report provides trench photomosaics, logs and related site information, age data, and earthquake event evidence from three paleoseismic trench sites on the Bear River Fault Zone. Our motivation for studying the Bear River Fault Zone—a nascent normal fault in the Rocky Mountains east of the Basin and Range physiographic province—is twofold: (1) the intriguing conclusion from previous work that the neotectonic history of the fault may have begun in the middle to late Holocene and consists of only two surface-rupturing earthquakes and (2) the question of whether large scarps (>10 meters in height) observed along the fault represent net tectonic displacement, which, given a two-event history, would put the displacements among the largest in the Basin and Range region. In presenting our trench and initial geomorphic interpretations, this report lays the groundwork for further exploration of these issues.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3430","usgsCitation":"Hecker, S., DuRoss, C.B., Schwartz, D.P., Cinti, F.R., Civico, R., Lund, W.R., Hiscock, A.I., West, M.W., Wilcox, T., and Stoller, A.R., 2019, Stratigraphic and structural relations in trench exposures and geomorphology at the Big Burn, Lily Lake, and Lester Ranch sites, Bear River Fault Zone, Utah and Wyoming: U.S. Geological Survey Scientific Investigations Map 3430, 8 p., 3 sheets, https://doi.org/10.3133/sim3430.","productDescription":"Report: 13 p.; Sheet 1: 58.03 x 27.83 in.; Sheet 2: 48.68 x 29.19 in.; Sheet 3: 52.58 x 28.94 in.","ipdsId":"IP-087181","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":362927,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3430/sim3430_sheet1.pdf","text":"Sheet 1","size":"30 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Scientific Investigations Map 3430 Sheet 1"},{"id":362928,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3430/sim3430_sheet2.pdf","text":"Sheet 2","size":"45 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Scientific Investigations Map 3430 Sheet 2"},{"id":362929,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3430/sim3430_sheet3.pdf","text":"Sheet 3","size":"50 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Scientific Investigations Map 3430 Sheet 3"},{"id":362930,"rank":5,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3430/coverthb.jpg"},{"id":362926,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3430/sim3430_pamphlet.pdf","text":"Pamphlet","size":"1.6 MB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Utah, Wyoming","otherGeospatial":"Bear River Fault Zone","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.92483520507812,\n 40.69001034095325\n ],\n [\n -110.60211181640624,\n 40.69001034095325\n ],\n [\n -110.60211181640624,\n 41.20345619205131\n ],\n [\n -110.92483520507812,\n 41.20345619205131\n ],\n [\n -110.92483520507812,\n 40.69001034095325\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director,
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Efforts to restore water quality in Chesapeake Bay and its tributaries often include extensive Best Management Practice (BMP) implementation on agricultural and developed lands. These BMPs include a variety of methods to reduce nutrient and sediment loads, such as cover crops, conservation tillage, urban filtering systems, and other practices.
Estimates of BMP implementation throughout the Chesapeake Bay watershed were provided for each year from 1985 through 2014 by the Chesapeake Bay Program (CBP). This dataset of BMP implementation is a compilation of actions reported by New York, Maryland, Pennsylvania, Delaware, West Virginia, Virginia, and the District of Columbia, and includes a wide array of management activities. Management actions vary among the jurisdictions and generally reflect the typical land use in each region.
The amount of implementation also varies according to different priorities, reporting practices, and special programs within each jurisdiction. For example, extensive cover crop implementation was reported in Maryland whereas Pennsylvania, in general, has lower levels of BMP implementation reported on cropland. Pennsylvania and Maryland have higher levels of infiltration BMPs on developed land compared to those in Virginia.
Conservation tillage BMPs accounted for the majority of reported agricultural BMP implementation in 1985. By 2014, however, a more diverse collection of agricultural BMPs was reported and conservation tillage BMPs accounted for a smaller proportion of overall reported agricultural BMP implementation. After the year 2000, land-use change BMPs, such as land retirement, pasture fencing, and forest buffers, were more commonly reported across the Chesapeake Bay watershed.
Expected changes in nutrient and sediment loads in the Chesapeake Bay watershed due to BMP implementation were estimated by use of specially designed annual scenarios of the CBP Partnership Phase 5.3.2 Watershed Model. Nitrogen loads to streams were estimated to be reduced by 11 percent from 1985 to 2014 due to the implementation of BMPs. Compared with 1985, phosphorus loads were estimated to be 19 percent lower and sediment loads were estimated to be 23 percent lower by 2014 due to the effects of BMPs.
Reductions in total nitrogen from 1985 to 2014 due to BMPs varied spatially across the watershed and were estimated to be as high as 42 percent in areas of the Eastern Shore of the Chesapeake Bay. Reductions in phosphorus and sediment also varied spatially, with the largest reductions occurring in the Potomac watershed upstream of Washington, D.C. and the Eastern Shore of Maryland, according to the CBP model results.
Additional model scenarios were developed to estimate the effect of individual BMP types. The largest estimated reductions in total nitrogen loads on agricultural lands in 2014 were attributed to land retirement, animal waste management systems, and conservation tillage. The largest estimated reductions in total phosphorus loads on agricultural lands were attributed to animal waste management systems, pasture fencing, and phytase feed additives in 2014. The largest estimated reduction in total sediment loads on agricultural lands was attributed to conservation tillage, pasture fencing, and conservation plans.
Dry ponds, wet ponds, and constructed wetlands were reported extensively throughout the watershed. These BMPs accounted for about half of the reduction in nitrogen loads from developed land to streams, half of the phosphorus reduction, and about a third of the sediment reduction.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185171","collaboration":" ","usgsCitation":"Sekellick, A.J., Devereux, O.H., Keisman, J.L.D., Sweeney, J.S., and Blomquist, J.D., 2019, Spatial and temporal patterns of Best Management Practice implementation in the Chesapeake Bay watershed, 1985–2014: U.S. Geological Survey Scientific Investigations Report 2018–5171, 25 p., https://doi.org/10.3133/sir20185171.","productDescription":"vii, 25 p.","numberOfPages":"37","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-084330","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":362890,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OVU9PX","text":"USGS data release","description":"USGS data release","linkHelpText":"Estimated effect of best management practice implementation on water quality in the Chesapeake Bay watershed from 1985 to 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U.S. Geological Survey
5522 Research Park Drive
Baltimore, MD 21228
In support of the goals of the Coachella Valley Multiple Species Habitat Conservation Plan and Natural Community Conservation Plan (CVMSHCP/NCCP), a population of Agassiz’s desert tortoises (Gopherus agassizii) was marked and studied to establish a desert tortoise monitoring program near the Orocopia Mountains beginning in early 2017 and ending in the summer of 2018, following the epic drought of 2012‒2016. This effort compliments a similar effort in the nearby mouth of Cottonwood Canyon in 2015‒2016. Surveys were performed to locate tortoises, tortoise burrows, and tortoise remains at the eastern end of the CVMSHCP area north of the Orocopia Mountains and south of Interstate 10 in Riverside County, California. Although the area is considered Critical Habitat for the recovery of tortoise populations, it was heavily impacted by military training activities in the early 1940s and continues to be impacted by off-highway vehicle use. Data were collected from all live and dead tortoise specimens encountered. Only 22 live tortoises were found during transects covering approximately 21 km2 of habitat surveyed. The sex ratio of live adult tortoises was strongly biased toward males and the sex ratio of recently (4‒5 years) dead carcasses during the long drought was strongly biased toward females. High female mortality may have resulted from the interaction of drought (including increased predation) and the reproductive strategy of tortoises. We located only one new live tortoise in the drought year of 2018 when there was no germination of winter annual food plants. A subsample of nine tortoises was outfitted with radio transmitters, and females (n = 4) were X-radiographed at approximately 10-day intervals from April–July. Mean clutch size was about 4 eggs as is typical for tortoises in this region. Additional tortoises were located opportunistically in and around the Santa Rosa Mountains (located in the southern end of the CVMSHCP area), and these tortoises were also marked for future identification. Blood samples were taken from adult tortoises and scute clips were taken from a subset of juveniles for ongoing studies to determine genetic diversity and relationships of desert tortoises within the CVMSHCP/NCCP area and beyond. The low tortoise density and high adult female mortality observed by us and others in the area may compromise the long-term viability of the population, especially given published predictions of the negative effects of future droughts on tortoises in the region.
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Appendix 12 of 2019 Annual Report: Coachella Valley multiple species conservation plan/natural community conservation plan, 32 p.","productDescription":"32 p.","ipdsId":"IP-107821","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":375184,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":367273,"type":{"id":15,"text":"Index Page"},"url":"https://www.cvmshcp.org"}],"country":"United States","state":"California","otherGeospatial":"Coachella Valley, Orocopia Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.62399291992186,\n 33.91715274008259\n ],\n [\n -116.62811279296875,\n 33.91259414191221\n ],\n [\n -116.40701293945311,\n 33.72548184547877\n ],\n [\n -116.22299194335938,\n 33.55398457177033\n ],\n [\n -116.12686157226561,\n 33.47269019266663\n ],\n [\n -116.02798461914061,\n 33.58831134490155\n ],\n [\n -115.98403930664061,\n 33.735760815044635\n ],\n [\n -116.17904663085938,\n 33.881817226884806\n ],\n [\n -116.58279418945312,\n 34.01396527491264\n ],\n [\n -116.62399291992186,\n 33.91715274008259\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":770444,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Puffer, Shellie R. 0000-0003-4957-0963","orcid":"https://orcid.org/0000-0003-4957-0963","contributorId":193099,"corporation":false,"usgs":true,"family":"Puffer","given":"Shellie R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":770445,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cummings, Kristy L. 0000-0002-8316-5059","orcid":"https://orcid.org/0000-0002-8316-5059","contributorId":202061,"corporation":false,"usgs":true,"family":"Cummings","given":"Kristy","email":"","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":770446,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70199531,"text":"ofr20181142 - 2019 - Hurricane Sandy impacts on coastal wetland resilience","interactions":[],"lastModifiedDate":"2024-03-04T18:51:22.151859","indexId":"ofr20181142","displayToPublicDate":"2019-04-10T08:15:00","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":"2018-1142","displayTitle":"Hurricane Sandy Impacts on Coastal Wetland Resilience","title":"Hurricane Sandy impacts on coastal wetland resilience","docAbstract":"The goal of this research was to evaluate the impacts of Hurricane Sandy on surface elevation trends in estuarine marshes located across the northeast region of the United States from Virginia to Maine using data from an opportunistic (in other words, not strategic) and collaborative network (from here on, an opportunistic network) of surface elevation table-marker horizon (SET-MH) stations. First, we built a data-base of metadata for 965 individual stations from 96 unique geographical locations that included the location, geomorphic setting, and wetland type for each SET-MH station. The dominant estuarine settings included in the analyses were back-barrier lagoonal marshes and emergent marshes along embayments and tidal tributaries. We then calculated prestorm elevation trends to compare to poststorm elevation measurements to determine the storm impact on each station trend. We hypothesized that the effect of Hurricane Sandy on marsh elevation trends would differ by position relative to landfall (right or left) and distance from landfall in southern New Jersey, as both of these variables influence the presence or absence of storm surge as a result of the physical characteristics of tropical cyclones (in other words, strongest winds typically occur to the right of landfall). Storm surge was spatially less extensive and less deep (~1 meter [m]) in marshes located to the left (in other words, south) of landfall compared to marshes located to the right (in other words, north) of landfall where storm surge covered a larger area and was deeper (3–4 m). About 63 percent of 223 eligible stations had a poststorm trend that was similar to the prestorm trend (in other words, less than ±5 millimeters [mm]), indicating little storm impact on elevation trends at those sites. The remaining 37 percent of stations exhibited significant poststorm deviations from the prestorm trend (in other words, greater than ±5 mm). Of these, stations located to the left of landfall had a significant and greater deviation in their elevation trend, and the deviation was more likely to be positive (elevation gain) compared to marshes located to the right of landfall, which had a significant deviation in their elevation trend that was more likely to be negative (elevation loss). This finding is directly related to storm surge impacts on marsh sediment deposition, where deep storm surge (3–4 m) results in sediment deposition in habitats inland of coastal marshes but less so in the marshes themselves. Substrate compaction by the storm surge over-burden may have contributed to elevation loss, but this was not measured because sufficient marker horizon data were not available for analysis. In contrast, to the left of landfall the wind-driven flooding of sediment laden water pushed into the headwaters of rivers and small bays with an ~1 m surge, and resulted in more prevalent sediment deposition on the marsh surfaces and elevation gain. In general, the findings support previous research showing that the physical characteristics of the storm (for example, wind speed, storm surge height, impact angle of landfall) combined with the local wetland conditions (for example, marsh productivity, groundwater level, tide height) are important factors determining a storm’s impact on soil elevation, and that the soil elevation response can vary widely among multiple wetland sites impacted by the same storm and among different storms for the same wetland site.
The final objective of this project was to create a framework using metadata from the opportunistic network of SET-MH stations that could be used to develop a strategic monitoring network designed to address specific climate change impacts and related phenomena identified by land managers and stakeholders. We evaluated the spatial distribution and density of SET-MH stations in relation to geographic coverage, marsh setting, availability of public land, and historical storm surge footprints and hurricane return intervals in order to identify gaps in our understanding of risk and our ability to assess it. Analyses revealed that the general geographic coverage of SET-MH stations is limited given the low percentage of marsh patches with stations, low density of stations, the clumped distribution of stations, and the often limited and uneven distribution of stations in wetlands with a high historical frequency of hurricane strikes and storm surge impacts. These findings can be used by managers and planners to inform the creation of a strategic monitoring network that can, in turn, inform management and adaptation plans for coastal resources in the region. Final plan designs will need to consider financial and infrastructural support required for station maintenance, as well as data collection and management over the long term.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181142","usgsCitation":"Cahoon, D.R., Olker, J.H., Yeates, A.G., Guntenspergen, G.R., Grace, J.B., Adamowicz, S.C., Anisfeld, S., Baldwin, A.H., Barrett, N., Beckett, L., Benzecry, A., Blum, L.K., Burdick, D.M., Crouch, W., Ekberg, M.C., Fernald, S., Grimes, K.W., Grzyb, J., Hartig, E.K., Kreeger, D.A., Larson, M., Lerberg, S., Lynch, J.C., Maher, N., Maxwell-Doyle, M., Mitchell, L.R., Mora, J., O’Neill, V., Padeletti, A., Prosser, D., Quirk, T., Raposa, K.B., Reay, W.G., Siok, D., Snow, C., Starke, A., Staver, L., Stevenson, J.C., and Turner, V., 2019, Hurricane Sandy impacts on coastal wetland resilience: U.S. Geological Survey Open-File Report 2018–1142, 117 p., https://doi.org/10.3133/ofr20181142.","productDescription":"xii, 117 p.","ipdsId":"IP-089853","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":362852,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1142/ofr20181142.pdf","text":"Report","size":"30.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1142"},{"id":362851,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1142/coverthb1.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.251953125,\n 17.811456088564483\n ],\n [\n -70.9716796875,\n 17.811456088564483\n ],\n [\n -70.9716796875,\n 41.07935114946899\n ],\n [\n -93.251953125,\n 41.07935114946899\n ],\n [\n -93.251953125,\n 17.811456088564483\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Eastern Ecological Science Center
U.S. Geological Survey
12311 Beech Forest Road
Laurel, MD 20708
Methanol extractions for chloroethene analyses are conducted on rock samples from seven closely spaced coreholes in a mudstone aquifer that was subject to releases of the nonaqueous phase liquid (NAPL) form of trichloroethene (TCE) between the 1950's and 1990's. Although TCE concentration in the rock matrix over the length of coreholes is dictated by proximity to subhorizontal bedding planefractures, elevated TCE concentrations in the rock matrix are not continuous along the most permeable bedding plane fractures. A complex configuration of subvertical and subhorizontal fractures appears to be responsible for the TCE distribution from prior TCE releases at land surface. Phase partitioning calculations of TCE in the rock matrix show that most TCE is adsorbed to solid surfaces because of the large fraction of organic carbon (foc) in the mudstone. Large TCE content in some cores indicate the likely presence of the NAPL form of TCE in the rock matrix. Using average values of porosity (n) and foc in phase partitioning calculations identifies a number of locations of possible NAPL occurrence in the rock matrix. Samples of mudstone analyzed for n and foc show variability in these properties over several orders of magnitude. Accounting for this variability in phase partitioning calculations identifies a probability of NAPL occurrence, PNAPL. The spatial variability of PNAPL along coreholes identifies a configuration that may be attributed to a TCE source zone that has evolved after emplacement due to NAPL dissolution, adsorption, and matrix diffusion.
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One of the most important factors influencing the long-term success and sustainability of future development is a comprehensive understanding of the region’s geologic regime, geotechnical conditions, natural resources, and environmental constraints. To obtain this understanding, the Ministry of Municipality and Environment (MME) of the State of Qatar has undertaken the Qatar Geological Mapping Project (QGMP). The project was envisioned with the strategic foresight to compile and utilize existing and legacy subsurface data collected as part of its massive infrastructure and development projects as the foundation for developing modern scientific resources including geologic maps, digital thematic maps, and a 3-dimensional geological model of the Doha metropolitan area. Recently, the MME, in consultation with Gannett Fleming, Inc. (GF) and the United States Geological Survey (USGS) concluded the data collection and analysis phase (Phase I) of the two-phase QGMP. Phase I included: the development of a comprehensive geotechnical relational database populated with data digitized from more than 13,000 subsurface data logs; a detailed data quality analysis and distribution assessment; an extensive gap analysis and needs assessment; and careful design of the geologic mapping and subsurface investigation programs for the next phase of the project.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geotechnical Special Publication","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Eighth International Conference on Case Histories in Geotechnical Engineering","conferenceDate":"March 24-27, 2019","conferenceLocation":"Philadelphia, Pennsylvania","language":"English","publisher":"American Society of Civil Engineers","doi":"10.1061/9780784482162.002","usgsCitation":"Krupansky, J.T., Knight, M.A., Orndorff, R., Al-Akhras, K.M., Mouradian, A.G., and Saleh, A.F., 2019, The Value of Data – The Qatar Geologic Mapping Project, in Geotechnical Special Publication, v. 314, Philadelphia, Pennsylvania, March 24-27, 2019, p. 12-23, https://doi.org/10.1061/9780784482162.002.","productDescription":"12 p.","startPage":"12","endPage":"23","ipdsId":"IP-101378","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":362877,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Qatar","volume":"314","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Krupansky, Joseph T.","contributorId":214600,"corporation":false,"usgs":false,"family":"Krupansky","given":"Joseph","email":"","middleInitial":"T.","affiliations":[{"id":39084,"text":"Gannett Fleming, Inc","active":true,"usgs":false}],"preferred":false,"id":760354,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knight, Michael A.","contributorId":214601,"corporation":false,"usgs":false,"family":"Knight","given":"Michael","email":"","middleInitial":"A.","affiliations":[{"id":39084,"text":"Gannett Fleming, Inc","active":true,"usgs":false}],"preferred":false,"id":760355,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Orndorff, Randall 0000-0002-8956-5803","orcid":"https://orcid.org/0000-0002-8956-5803","contributorId":214599,"corporation":false,"usgs":true,"family":"Orndorff","given":"Randall","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":760353,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Al-Akhras, Khaled M.","contributorId":214602,"corporation":false,"usgs":false,"family":"Al-Akhras","given":"Khaled","email":"","middleInitial":"M.","affiliations":[{"id":39085,"text":"Qatar Ministry of Municipality and Environment","active":true,"usgs":false}],"preferred":false,"id":760356,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mouradian, Ara G.","contributorId":214603,"corporation":false,"usgs":false,"family":"Mouradian","given":"Ara","email":"","middleInitial":"G.","affiliations":[{"id":39084,"text":"Gannett Fleming, Inc","active":true,"usgs":false}],"preferred":false,"id":760357,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Saleh, Ali F.","contributorId":214604,"corporation":false,"usgs":false,"family":"Saleh","given":"Ali","email":"","middleInitial":"F.","affiliations":[{"id":39085,"text":"Qatar Ministry of Municipality and Environment","active":true,"usgs":false}],"preferred":false,"id":760358,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70203050,"text":"70203050 - 2019 - Quantifying hydrologic alteration in an area lacking current reference conditions—The Mississippi Alluvial Plain of the South-Central U.S.","interactions":[],"lastModifiedDate":"2019-07-23T13:34:52","indexId":"70203050","displayToPublicDate":"2019-04-08T09:05:23","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying hydrologic alteration in an area lacking current reference conditions—The Mississippi Alluvial Plain of the South-Central U.S.","docAbstract":"To better understand the effects of hydrologic alteration as they relate to human and biological needs within the Mississippi Alluvial Plain of the south-central United States, the quantification of hydrologic alteration is required. Quantifying hydrologic alteration in the Mississippi Alluvial Plain is particularly difficult because of the lack of current reference, or even relatively undisturbed, U.S. Geological Survey (USGS) streamflow-gaging stations. Water withdrawals for agriculture in the form of weirs, dams, channelization and other forms of regulation within the Mississippi Alluvial Plain increased substantially beginning around 1960 suggesting that streamflow is substantially altered after this time period. To overcome the lack of stations that exist in the present that are unaffected by anthropogenic activities (or current reference stations), historical streamflow data were used to estimate what streamflow would be in the present without anthropogenic influence (or current reference conditions). These data, when combined with current streamflow information collected by the USGS in south and eastern Arkansas, southwest corner Kentucky, Louisiana, western Mississippi, southeastern corner Missouri, extreme western Tennessee, and extreme southeastern Texas were used to assess the level of hydrologic alteration within the study area.","language":"English","publisher":"Wiley","doi":"10.1002/rra.3427","usgsCitation":"Hart, R.M., and Brian Breaker, 2019, Quantifying hydrologic alteration in an area lacking current reference conditions—The Mississippi Alluvial Plain of the South-Central U.S.: River Research and Applications, v. 35, no. 6, p. 553-565, https://doi.org/10.1002/rra.3427.","productDescription":"13 p.","startPage":"553","endPage":"565","ipdsId":"IP-094894","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":467720,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.3427","text":"Publisher Index Page"},{"id":437506,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PXSBVW","text":"USGS data release","linkHelpText":"Basin characteristics, climate data, and R-scripts to determine hydrologic alteration in the Mississippi Alluvial Plain"},{"id":362976,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Kentucky, Louisiana, Mississippi, Missouri, Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.3173828125,\n 29.075375179558346\n ],\n [\n -87.5830078125,\n 29.075375179558346\n ],\n [\n -87.5830078125,\n 37.38761749978395\n ],\n [\n -95.3173828125,\n 37.38761749978395\n ],\n [\n -95.3173828125,\n 29.075375179558346\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"35","issue":"6","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Hart, Rheannon M. 0000-0003-4657-5945 rmhart@usgs.gov","orcid":"https://orcid.org/0000-0003-4657-5945","contributorId":5516,"corporation":false,"usgs":true,"family":"Hart","given":"Rheannon","email":"rmhart@usgs.gov","middleInitial":"M.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":760945,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brian Breaker","contributorId":214843,"corporation":false,"usgs":false,"family":"Brian Breaker","affiliations":[{"id":12537,"text":"USACE","active":true,"usgs":false}],"preferred":false,"id":760946,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70203719,"text":"70203719 - 2019 - Perfluoroalkyl contaminant exposure in tree swallows nesting at Clarks Marsh, Oscoda, Michigan, USA","interactions":[],"lastModifiedDate":"2019-06-06T10:13:59","indexId":"70203719","displayToPublicDate":"2019-04-06T10:12:05","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":887,"text":"Archives of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Perfluoroalkyl contaminant exposure in tree swallows nesting at Clarks Marsh, Oscoda, Michigan, USA","docAbstract":"A site in north eastern Michigan, Oscoda Township, has some of the highest recorded exposure in birds to perfluorinated substances (PFASs) in the U.S. Some egg and plasma concentrations at that location exceeded the lowest reproductive effect threshold established for two avian laboratory species. The objectives of this study were to determine whether there were reproductive effects or physiological responses in a model bird species, the tree swallow (Tachycineta bicolor), associated with this extremely high exposure to PFASs. The lack of exposure above background to other contaminants at this site allowed for an assessment of PFAS effects without the complication that responses may be caused by other contaminants. A secondary objective was to determine the distribution of PFASs in multiple tissue types to better understand and interpret residues in different tissues. This can best be done at highly exposed locations where tissue concentrations would be expected to be above detectable levels if they are present in that tissue. There were no demonstrable effects of PFAS exposure on reproduction nor on most physiological responses.","language":"English","publisher":"Springer ","doi":"10.1007/s00244-019-00620-1","usgsCitation":"Custer, C.M., Custer, T.W., Delaney, R., Dummer, P.M., Schultz, S.L., and Karouna-Renier, N., 2019, Perfluoroalkyl contaminant exposure in tree swallows nesting at Clarks Marsh, Oscoda, Michigan, USA: Archives of Environmental Contamination and Toxicology, v. 77, no. 1, p. 1-13, https://doi.org/10.1007/s00244-019-00620-1.","productDescription":"13 p.","startPage":"1","endPage":"13","ipdsId":"IP-103625","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":437508,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KKECVJ","text":"USGS data release","linkHelpText":"Perfluoroalkyl contaminant exposure in tree swallows nesting at Clarks Marsh, Oscoda, MI Dataset"},{"id":364426,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364423,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.1007/s00244-019-00620-1"}],"country":"United States","state":"Michigan","county":"Oscoda County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-83.89,44.8553],[-83.8892,44.7247],[-83.889,44.6809],[-83.8883,44.6325],[-83.8878,44.5946],[-83.8861,44.507],[-84.0098,44.5071],[-84.1309,44.5061],[-84.1808,44.5061],[-84.2507,44.5059],[-84.373,44.5075],[-84.3734,44.596],[-84.373,44.6698],[-84.3729,44.856],[-84.1328,44.8552],[-83.89,44.8553]]]},\"properties\":{\"name\":\"Oscoda\",\"state\":\"MI\"}}]}","volume":"77","issue":"1","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Custer, Christine M. 0000-0003-0500-1582 ccuster@usgs.gov","orcid":"https://orcid.org/0000-0003-0500-1582","contributorId":1143,"corporation":false,"usgs":true,"family":"Custer","given":"Christine","email":"ccuster@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":763789,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Custer, Thomas W. 0000-0003-3170-6519","orcid":"https://orcid.org/0000-0003-3170-6519","contributorId":216059,"corporation":false,"usgs":false,"family":"Custer","given":"Thomas","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":763790,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Delaney, Robert","contributorId":216060,"corporation":false,"usgs":false,"family":"Delaney","given":"Robert","email":"","affiliations":[{"id":17835,"text":"Michigan Department of Environmental Quality","active":true,"usgs":false}],"preferred":false,"id":763791,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dummer, Paul M. 0000-0002-2055-9480 pdummer@usgs.gov","orcid":"https://orcid.org/0000-0002-2055-9480","contributorId":3015,"corporation":false,"usgs":true,"family":"Dummer","given":"Paul","email":"pdummer@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":763792,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schultz, Sandra L. 0000-0003-3394-2857 sschultz@usgs.gov","orcid":"https://orcid.org/0000-0003-3394-2857","contributorId":5966,"corporation":false,"usgs":true,"family":"Schultz","given":"Sandra","email":"sschultz@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":763793,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Karouna-Renier, Natalie 0000-0001-7127-033X nkarouna@usgs.gov","orcid":"https://orcid.org/0000-0001-7127-033X","contributorId":200983,"corporation":false,"usgs":true,"family":"Karouna-Renier","given":"Natalie","email":"nkarouna@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":763794,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70204641,"text":"70204641 - 2019 - Topographic drivers of flight altitude over large spatial and temporal scales","interactions":[],"lastModifiedDate":"2019-08-09T10:26:15","indexId":"70204641","displayToPublicDate":"2019-04-06T08:40:00","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"title":"Topographic drivers of flight altitude over large spatial and temporal scales","docAbstract":"Bird movements vary spatially and temporally, but the primary drivers that explain such variation can be difficult to identify. For example, it is well known that the availability of updraft influences soaring flight and that topography interacts with weather to produce these updrafts. However, the influences of topography on flight are not well understood. We determined how topographic characteristics influenced flight altitude above ground level (AGL) of a large soaring bird, the Golden Eagle (Aquila chrysaetos), over several regions within the State of California, USA. Primary drivers of flight AGL, those to which eagles showed the same response at all spatial scales, were topographic roughness, ground elevation and the east-west component of aspect (eastness). Each of these is related to formation of thermal updrafts. Secondary drivers, those to which eagles showed region-specific patterns, included topographic position, percent slope, and the north-south component of aspect (northness). In contrast to primary drivers, these secondary drivers were related to formation of both thermal and orographic updrafts. Overall, drivers of flight altitudes that were related to thermal updrafts showed different levels of complexity due to spatial and temporal variation of those drivers than did flight altitudes related to orographic updrafts.","language":"English","publisher":"Oxford Academic","doi":"10.1093/auk/ukz002","usgsCitation":"Duerr, A.E., Miller, T.A., Dunn, L., Bell, D.A., Bloom, P.H., Fisher, R.N., Tracey, J.A., and Katzner, T., 2019, Topographic drivers of flight altitude over large spatial and temporal scales: The Auk, v. 136, no. 2, Article ukz002, https://doi.org/10.1093/auk/ukz002.","productDescription":"Article ukz002","ipdsId":"IP-104575","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":467724,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/auk/ukz002","text":"Publisher Index 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rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":767878,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tracey, Jeff A. 0000-0002-1619-1054 jatracey@usgs.gov","orcid":"https://orcid.org/0000-0002-1619-1054","contributorId":5780,"corporation":false,"usgs":true,"family":"Tracey","given":"Jeff","email":"jatracey@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":767879,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":767872,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70206860,"text":"70206860 - 2019 - Effects of historic wildfire and prescribed fire on site occupancy of bats in Shenandoah National Park, Virginia, USA","interactions":[],"lastModifiedDate":"2020-07-09T14:20:18.016417","indexId":"70206860","displayToPublicDate":"2019-04-04T07:09:23","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2298,"text":"Journal of Forestry Research","active":true,"publicationSubtype":{"id":10}},"title":"Effects of historic wildfire and prescribed fire on site occupancy of bats in Shenandoah National Park, Virginia, USA","docAbstract":"Given high likelihood of regional extirpation of several once-common bat species in eastern North America from White-nose Syndrome, it is critical that impacts of forest management activities such as prescribed fire are known to minimize potentially additive negative effects on bat populations. Historic wildfires may offer a suitable surrogate to assess long-term burn impacts on bats for planning, implementing and assessing burning programs going forward. To examine effects of historic fire on bats, we sampled bat activity at 24 transect locations in burned and unburned forest stands in the central Appalachian Mountains of Shenandoah National Park (SNP), Virginia, USA, 2015. We found limited evidence positive fire effects over time on hoary bats (Lasiurus cinereus) and big brown bats (Eptesicus fuscus) occupancy. Overall, we found few or mostly equivocal relationships of bat occupancy relative to burn condition or time since fire at SNP across species using a false-positive occupancy approach. Our results suggest that fire does not strongly affect bat site occupancy at short or long-term time scales in the central Appalachians.","language":"English","publisher":"Springer","doi":"10.1007/s11676-019-00923-y","usgsCitation":"Ford, W., Austin, L.V., Alexander Silvis, and Powers, K.E., 2019, Effects of historic wildfire and prescribed fire on site occupancy of bats in Shenandoah National Park, Virginia, USA: Journal of Forestry Research, v. 31, p. 1255-1270, https://doi.org/10.1007/s11676-019-00923-y.","productDescription":"16 p.","startPage":"1255","endPage":"1270","ipdsId":"IP-090024","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467734,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10919/102431","text":"External Repository"},{"id":369610,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Shenandoah National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.4696044921875,\n 37.35269280367274\n ],\n [\n -77.069091796875,\n 37.35269280367274\n ],\n [\n -77.069091796875,\n 39.18969082109678\n ],\n [\n -79.4696044921875,\n 39.18969082109678\n ],\n [\n -79.4696044921875,\n 37.35269280367274\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"31","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":776087,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Austin, Lauren V.","contributorId":204944,"corporation":false,"usgs":false,"family":"Austin","given":"Lauren","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":776161,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alexander Silvis","contributorId":199527,"corporation":false,"usgs":false,"family":"Alexander Silvis","affiliations":[],"preferred":false,"id":776089,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Powers, Karen E.","contributorId":171456,"corporation":false,"usgs":false,"family":"Powers","given":"Karen","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":776162,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70203054,"text":"70203054 - 2019 - Environmental and geomorphological changes on the eastern North American Continental Shelf across the Paleocene-Eocene Boundary","interactions":[],"lastModifiedDate":"2019-06-18T11:38:55","indexId":"70203054","displayToPublicDate":"2019-04-03T08:24:18","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5790,"text":"Paleoceanography and Paleoclimatology","active":true,"publicationSubtype":{"id":10}},"title":"Environmental and geomorphological changes on the eastern North American Continental Shelf across the Paleocene-Eocene Boundary","docAbstract":"Foraminiferal evidence from two sites in southern Maryland, eastern United States, reveals a series of rapid ecological changes on the continental shelf during the onset of the Paleocene-Eocene Thermal Maximum (PETM). Benthic and planktic foraminifer assemblages from the South Dover Bridge (SDB) and Mattawoman Creek-Billingsley Road (MCBR) cores in the central Salisbury Embayment record changing latest Paleocene and earliest Eocene ecological conditions that began prior to the carbon isotope excursion (CIE) that marks the beginning of the PETM. The foraminiferal response reflects increases in productivity first in bottom water and then in the mixed layer, a minor dissolution event, and rising sea-surface temperatures in the latest Paleocene. Relative sea level changes, a sudden change in sedimentary regime, a decrease in bottom water oxygenation, and a downward expansion of the mixed layer occurred across the PETM onset. In the earliest Eocene, foraminiferal assemblages document a gradual shallowing of the thermocline and/or cooling of the surface layer. While SDB assemblages support a rise in sea level across the PETM onset, MCBR assemblages record a drop in sea level interpreted as delta progradation. Transitional carbon isotope values characterizing the nature of the CIE are recorded in these delta sediments. We present an initial bathymetric reconstruction of the Salisbury Embayment showing the physical effects of the CIE onset on shelf morphology and highlight the importance of understanding coastal zone processes when examining shelf sediments.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018PA003357","usgsCitation":"Robinson, M.M., and Spivey, W., 2019, Environmental and geomorphological changes on the eastern North American Continental Shelf across the Paleocene-Eocene Boundary: Paleoceanography and Paleoclimatology, v. 34, no. 4, p. 715-732, https://doi.org/10.1029/2018PA003357.","productDescription":"18 p.","startPage":"715","endPage":"732","ipdsId":"IP-095858","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":467737,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018pa003357","text":"Publisher Index Page"},{"id":437513,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94HDUEE","text":"USGS data release","linkHelpText":"Paleocene-Eocene foraminifer census data from South Dover Bridge and Mattawoman Creek-Billingsley Road coreholes"},{"id":362970,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Maryland, New Jersey, Pennsylvania, Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.57421875,\n 37.97884504049713\n ],\n [\n -73.80615234375,\n 37.97884504049713\n ],\n [\n -73.80615234375,\n 40.29628651711716\n ],\n [\n -78.57421875,\n 40.29628651711716\n ],\n [\n -78.57421875,\n 37.97884504049713\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"34","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Robinson, Marci M. 0000-0002-9200-4097 mmrobinson@usgs.gov","orcid":"https://orcid.org/0000-0002-9200-4097","contributorId":2082,"corporation":false,"usgs":true,"family":"Robinson","given":"Marci","email":"mmrobinson@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":760962,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spivey, Whittney 0000-0003-1111-3361 wspivey@usgs.gov","orcid":"https://orcid.org/0000-0003-1111-3361","contributorId":214849,"corporation":false,"usgs":true,"family":"Spivey","given":"Whittney","email":"wspivey@usgs.gov","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":760963,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70204687,"text":"70204687 - 2019 - Quaternary eolian sediments and Carolina Bays of the U.S. Atlantic Coastal Plain province","interactions":[],"lastModifiedDate":"2019-08-08T15:01:05","indexId":"70204687","displayToPublicDate":"2019-04-01T14:57:01","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":18,"text":"Abstract or summary"},"title":"Quaternary eolian sediments and Carolina Bays of the U.S. Atlantic Coastal Plain province","docAbstract":"Under modern conditions, the Atlantic Coastal Plain province of the eastern United States is not very conducive to widespread eolian sediment mobilization because of a humid and mesothermal climate, relatively low mean surface wind velocities (~1–3 m/sec), and relatively dense vegetation. LiDAR data, however, have revealed the presence of widespread eolian dunes and sand sheets (now covered by vegetation) at many inland locations throughout the U.S. Atlantic Coastal Plain (Swezey, in press). To date, a total of 89 OSL ages ranging from ~92–5 thousand years ago (ka) have been published from these eolian sediments, and 61 of these 89 OSL ages occur within or near the interval of the last glacial maximum (LGM). \nQuaternary eolian sediments have been identified in the following four inland settings of the U.S. Atlantic Coastal Plain: (1) on interfluvial upland areas of the northern coastal plain; (2) in the Carolina Sandhills region; (3) within river valleys; and (4) adjacent to low relief elliptical depressions known as Carolina Bays. Most of these eolian sediments are composed of fine to medium quartz sand, although a substantial component of silt is present in the northern coastal plain, and a substantial component of coarse sand is present in the Carolina Sandhills region. \nThe eolian sediments in interfluvial upland areas of the northern coastal plain (Delaware, Maryland) form both sand sheets and parabolic dunes (with dune tails pointing to the northwest). These eolian sediments in the northern upland areas were probably remobilized from any loose sediments that were available in the area, and the location near the southern margin of the LGM ice sheet is similar to extensive Quaternary eolian sand and loess deposits in Europe, China, and the central United States. \nThe eolian sediments in the Carolina Sandhills region form mostly sand sheets and some linear dunes of relatively short extent. These eolian sediments are thought to have been derived from sand of the immediately underlying Cretaceous fluvial strata. \nThe eolian sediments within river valleys form parabolic dunes that are located to the east of the modern river channels. The tails of these eolian dunes within river valleys point northwest in the northern coastal plain (Delaware, Maryland) and they point west in the southern coastal plain (North Carolina, South Carolina, Georgia). These eolian sediments within river valleys are thought to have been derived from fluvial sand in the nearby river channels. \n\tThe eolian sediments associated with Carolina Bays form arcuate ridges on the east and south sides of the depressions (“bays”). Some Carolina Bays show cross-cutting relations with other Carolina Bays. Other Carolina Bays show different stratigraphic relations with respect to eolian dunes within river valleys. For example, Bear Swamp (Marion County, South Carolina) is a Carolina Bay that is inset into (i.e., younger than) eolian dunes in the valley of the Great Pee Dee River. As another example, Big Bay (Sumter County, South Carolina) is a Carolina Bay that is overlain by (i.e., older than) eolian dunes in the valley at the confluence of the Congaree and Wateree Rivers. Cores in Carolina Bays and their associated ridges reveal a few meters of sand and (or) muddy sand above an unconformity on various older fine-grained substrates that do not show signs of disturbance. Most published OSL ages from Carolina Bay sand ridges range from ~45–8 ka. Some bays have multiple sand ridges, and ridges closer to individual bays yield younger OSL ages. \nIn summary, Quaternary eolian sediments are widespread throughout the U.S. Atlantic Coastal Plain province, and most of these sediments are thought to have been mobilized within or near the interval of the LGM when conditions were much colder, drier, and windier. These eolian sediments are thus interpreted as relict features that have subsequently been stabilized and degraded by vegetation and pedoge","language":"English","publisher":"Minnesota Geological Survey","usgsCitation":"Swezey, C.S., 2019, Quaternary eolian sediments and Carolina Bays of the U.S. Atlantic Coastal Plain province, p. 88-89.","productDescription":"2 p.","startPage":"88","endPage":"89","ipdsId":"IP-105444","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":366424,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":366412,"type":{"id":15,"text":"Index Page"},"url":"https://conservancy.umn.edu/handle/11299/202386"}],"country":"United States","state":"North Carolina, South Carolina 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Carolina\",\"nation\":\"USA \"}}]}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Swezey, Christopher S. 0000-0003-4019-9264 cswezey@usgs.gov","orcid":"https://orcid.org/0000-0003-4019-9264","contributorId":173033,"corporation":false,"usgs":true,"family":"Swezey","given":"Christopher","email":"cswezey@usgs.gov","middleInitial":"S.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":768071,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70074783,"text":"sim2932B - 2019 - Geologic map of the central-southeast flank of Mauna Loa Volcano, Island of Hawaii, Hawaii","interactions":[],"lastModifiedDate":"2024-05-23T22:02:49.901846","indexId":"sim2932B","displayToPublicDate":"2019-04-01T11:26:46","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2932-B","displayTitle":"Geologic Map of the Central-Southeast Flank of Mauna Loa Volcano, Island of Hawai‘i, Hawaii","title":"Geologic map of the central-southeast flank of Mauna Loa Volcano, Island of Hawaii, Hawaii","docAbstract":"Mauna Loa, the largest volcano on Earth, has erupted 33 times since written descriptions became available in 1832. Some eruptions began with only brief seismic unrest, while others followed several months to a year of increased seismicity. Once underway, its eruptions can produce lava flows that may reach the sea in less than 24 hours, severing roads and utilities. For example, lava flows erupted from the Southwest Rift Zone (SWRZ) in 1950 advanced at an average rate of 9.3 km per hour, and all three lobes reached the ocean within approximately 24 hours (Finch and Macdonald, 1953). Near the eruptive vents, the flows must have traveled even faster. In terms of eruption frequency, pre-eruption warning, and rapid flow emplacement, Mauna Loa poses an enormous volcanic-hazard threat to the Island of Hawai‘i. Volcanic hazards on Mauna Loa may be anticipated, and risk substantially mitigated, by documenting the past activity to refine our knowledge of the hazards and by alerting the public and local government officials of our findings and their implications for hazards assessments and risk.
From the geologic record, we may deduce several generalized facts about the geologic history of the Northeast Rift Zone (NERZ). The middle to uppermost segments of the rift zone were more active in the past 4,000 years than the lower portion of the rift zone. This may be due to buttressing of the lower east rift zone by Mauna Kea and Kīlauea volcanoes. The historical flows that erupted on the north side of the rift zone advanced toward Hilo. This flank of the volcano may be more vulnerable to inundation. Lockwood (1990) noted that the vents of historical activity are migrating to the south. The volcano appears to have a self-regulating mechanism that evenly distributes long-term activity across its flanks. The geologic record also supports this notion; the time prior to the historical period (Age Group 1, pre-A.D. 1832 to 1,000 yrs B.P.; orange units) is dominated by activity on the south side of the NERZ.
Although most Mauna Loa eruptions begin in the summit area at the 12,000-ft elevation (Lockwood and Lipman, 1987), the central-southeast flank has not been the source of any activity. All flows originated from the summit or the upper reaches of the Northeast Rift Zone (NERZ) or the Southwest Rift Zone (SWRZ). The NERZ was the source of eight flank eruptions since 1843. The NERZ extends from the 13,680-ft-high summit towards Hilo (population ~60,000; second-largest city in State of Hawaii). The northern portion of the map area is built entirely on flows erupted from the NERZ. The SWRZ extends from the summit towards Kalae (South Point) at sea level. The southern portion of the map area is built entirely on flows erupted from the SWRZ.
The map area extends from the 10,350-ft elevation on Mauna Loa’s east flank toward the Hawaii Volcanoes National Park and the town of Volcano (population approx. 2,000) in the northeast. At the south boundary of the map area is the town of Pāhala (population approx. 900). This map includes areas adjacent to and downslope of the NERZ and regions east of and directly downslope of Moku‘āweoweo, Mauna Loa’s summit caldera.
The map encompasses 506 km2 of the southeast flank (fig. 1) of Mauna Loa from 10,350-ft elevation to sea level. The map of the central-southeast flank of Mauna Loa shows the distribution and relations of volcanic and surficial sedimentary deposits separated into 15 age groups ranging from a period greater than 50,000 yr B.P. to A.D. 1984. It incorporates previously reported work published in generalized small-scale maps (Lockwood and Lipman, 1987; Lockwood, 1995; Wolfe and Morris, 1996).
This map is the second in a series of five maps that will cover Mauna Loa volcano. See SIM 2932-A at https://doi.org/10.3133/sim2932A.
NOTE: Map sheet 1 contains lines and type with overprint. This feature may be turned on or off in the Adobe Acrobat page display preferences.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim2932B","usgsCitation":"Trusdell, F.A., and Lockwood, J.P., 2019, Geologic map of the central-southeast flank of Mauna Loa volcano, Island of Hawai‘i, Hawaii: U.S. Geological Survey Scientific Investigations Map 2932–B, scale 1:50,000, 2 sheets, pamphlet 23 p., https://doi.org/10.3133/sim2932B.","productDescription":"Pamphlet: iii, 23 p.; 2 Sheets: 33.94 x 39.27 inches and 39.59 x 29.91 inches; Chemical data table; Metadata; Read Me; Geospatial data","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-011879","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":429220,"rank":11,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sim2932E","text":"Scientific Investigations Map 2932-E","linkHelpText":"- Geologic Map of the Northwest Flank of Mauna Loa Volcano, Island of Hawai‘i, Hawaii"},{"id":374330,"rank":10,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sim2932C","text":"Scientific Investigations Map 2932-C","linkHelpText":"- Geologic Map of the Southern Flank of Mauna Loa Volcano, Island of Hawai‘i, Hawaii"},{"id":362610,"rank":9,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sim2932A","text":"Scientific Investigations Map 2932-A","linkHelpText":"- Geologic Map of the Northeast Flank of Mauna Loa Volcano, Island of Hawai'i, Hawaii"},{"id":362608,"rank":8,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sim/2932/b/sim2932b_chemical_data_table.xlsx","text":"Chemical data table","size":"25 KB","linkFileType":{"id":3,"text":"xlsx"}},{"id":362607,"rank":7,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/2932/b/sim2932b_sheet2.pdf","text":"Sheet 2","size":"6.5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":362606,"rank":6,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/2932/b/sim2932b_sheet1.pdf","text":"Sheet 1","size":"7.1 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":362605,"rank":5,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/2932/b/sim2932b_pamphlet.pdf","text":"Pamphlet","size":"700 KB","linkFileType":{"id":1,"text":"pdf"}},{"id":362604,"rank":4,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/2932/b/sim2932b_METADATA.zip","size":"400 KB","linkFileType":{"id":6,"text":"zip"}},{"id":362603,"rank":3,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sim/2932/b/sim2932b_DATABASE.zip","text":"Geospatial data","size":"6.5 MB","linkFileType":{"id":6,"text":"zip"}},{"id":362590,"rank":2,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/2932/b/sim2932b_readme.docx","size":"2 KB docx"},{"id":362543,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/2932/b/coverthb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Mauna Loa Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.5,\n 19.125\n ],\n [\n -155.125,\n 19.125\n ],\n [\n -155.125,\n 19.5\n ],\n [\n -155.5,\n 19.5\n ],\n [\n -155.5,\n 19.125\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Contact HVO
Volcano Science Center, Hawaiian Volcano Observatory
U.S. Geological Survey
No abstract available.
","language":"English","publisher":"Desert Symposium Inc.","usgsCitation":"Miller, D., Spaulding, G., Reynolds, R., Calzia, J., Wells, M., Fleck, R.J., and Baltzer, S., 2019, Exploring ends of eras in the eastern Mojave Desert: The road log, p. 7-48.","productDescription":"42 p.","startPage":"7","endPage":"48","ipdsId":"IP-106551","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":365357,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":365306,"type":{"id":11,"text":"Document"},"url":"https://www.desertsymposium.org/DS 2019 Ends of Eras for web 4-12 b.pdf"}],"country":"United States","otherGeospatial":"Mojave Desert","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.9789,34.1607 ], [ -117.9789,37.5219 ], [ -114.7254,37.5219 ], [ -114.7254,34.1607 ], [ -117.9789,34.1607 ] ] ] } } ] }","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":140769,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":765521,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spaulding, G.A.","contributorId":216784,"corporation":false,"usgs":false,"family":"Spaulding","given":"G.A.","email":"","affiliations":[{"id":36206,"text":"Retired","active":true,"usgs":false}],"preferred":false,"id":765522,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reynolds, R.E.","contributorId":205013,"corporation":false,"usgs":false,"family":"Reynolds","given":"R.E.","email":"","affiliations":[{"id":36206,"text":"Retired","active":true,"usgs":false}],"preferred":false,"id":765523,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Calzia, James","contributorId":216787,"corporation":false,"usgs":true,"family":"Calzia","given":"James","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":765526,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wells, M.E.","contributorId":216785,"corporation":false,"usgs":false,"family":"Wells","given":"M.E.","email":"","affiliations":[{"id":39515,"text":"UNLV","active":true,"usgs":false}],"preferred":false,"id":765524,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fleck, Robert J. 0000-0002-3149-8249 fleck@usgs.gov","orcid":"https://orcid.org/0000-0002-3149-8249","contributorId":1048,"corporation":false,"usgs":true,"family":"Fleck","given":"Robert","email":"fleck@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":765527,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Baltzer, S.","contributorId":216786,"corporation":false,"usgs":false,"family":"Baltzer","given":"S.","email":"","affiliations":[],"preferred":false,"id":765525,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70204109,"text":"70204109 - 2019 - Geology of the Mineral and Lake Anna West Quadrangles, Virginia","interactions":[],"lastModifiedDate":"2019-07-10T09:20:59","indexId":"70204109","displayToPublicDate":"2019-03-31T17:04:09","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":5845,"text":"Virginia Division of Geology and Mineral Resources Publication","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"189","title":"Geology of the Mineral and Lake Anna West Quadrangles, Virginia","docAbstract":"This map product is a cooperator series publication and, as such, does not have a specific abstract.\n\nGeologic mapping for this map product was completed between 2014 and 2017, with most of the field work occurring between January 2016 and May 2017. Numerous foot traverses were completed along creeks and roads throughout the field area; the shore of Lake Anna was accessed by kayak to provide additional data. Distributions of soil units were considered when assigning bedrock type in areas where outcrop was lacking and helped to distinguish fluvial terrace deposits. Hill-shade raster images created from LiDAR datasets and geophysical data sets proved useful in the field to trace bedrock and surficial units. GPS location control and field data were collected and recorded in digital databases using a variety of geologic mapping applications for an iPad 3rd Gen Model A1403 and Motion C5v tablet using Fieldmove 2013.1. Structural measurements were also plotted on field maps. Data collected included lithology and the orientation of foliations, folds, lineations, joints, and faults. Representative rock samples of significant formations were thin-sectioned for petrographic analysis; a few samples from these and surrounding quadrangles were analyzed for zircon U-Pb geochronology and geochemistry.","language":"English","publisher":"Virginia Department of Mines Minerals and Energy, Division of Geology and Mineral Resources","usgsCitation":"Carter, M.W., Burton, W.C., McAleer, R.J., DiGiacomo-Cohen, M., and Sauer, R.T., 2019, Geology of the Mineral and Lake Anna West Quadrangles, Virginia: Virginia Division of Geology and Mineral Resources Publication 189, Pamphlet: iv, 41 p.; 2 Plates: 37 x 59 and 32 x 47 inches.","productDescription":"Pamphlet: iv, 41 p.; 2 Plates: 37 x 59 and 32 x 47 inches","onlineOnly":"Y","ipdsId":"IP-099519","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":365402,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":365401,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.dmme.virginia.gov/commerce/ProductDetails.aspx?productID=3026"}],"country":"United States","state":"Virginia","county":"Louisa County, Orange County, Spotsylvania County","otherGeospatial":"Lake Anna Quadrangle, Mineral Quadrangle","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.96585083007812,\n 37.93444993515032\n ],\n [\n -77.65960693359375,\n 37.93444993515032\n ],\n [\n -77.65960693359375,\n 38.1334763895322\n ],\n [\n -77.96585083007812,\n 38.1334763895322\n ],\n [\n -77.96585083007812,\n 37.93444993515032\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Carter, Mark W. 0000-0003-0460-7638 mcarter@usgs.gov","orcid":"https://orcid.org/0000-0003-0460-7638","contributorId":4808,"corporation":false,"usgs":true,"family":"Carter","given":"Mark","email":"mcarter@usgs.gov","middleInitial":"W.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":765553,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burton, William C. 0000-0001-7519-5787 bburton@usgs.gov","orcid":"https://orcid.org/0000-0001-7519-5787","contributorId":1293,"corporation":false,"usgs":true,"family":"Burton","given":"William","email":"bburton@usgs.gov","middleInitial":"C.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":765554,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":215498,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan","email":"rmcaleer@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":765555,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DiGiacomo-Cohen, Mary 0000-0003-2384-8912","orcid":"https://orcid.org/0000-0003-2384-8912","contributorId":211592,"corporation":false,"usgs":true,"family":"DiGiacomo-Cohen","given":"Mary","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":765557,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sauer, R. Tyler","contributorId":216797,"corporation":false,"usgs":false,"family":"Sauer","given":"R.","email":"","middleInitial":"Tyler","affiliations":[{"id":39519,"text":"C.F. Sauer Company","active":true,"usgs":false}],"preferred":false,"id":765556,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70203738,"text":"70203738 - 2019 - Optimal timing of high-flow experiments for sandbar deposition","interactions":[],"lastModifiedDate":"2019-08-13T14:50:40","indexId":"70203738","displayToPublicDate":"2019-03-31T14:50:30","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"title":"Optimal timing of high-flow experiments for sandbar deposition","docAbstract":"Sediment-transport theory and field measurements indicate that the greatest or most efficient deposition of sand in eddies occurs during controlled floods (a.k.a. High-Flow Experiments or HFEs) when the greatest amount of the finest sand is available on the bed of the Colorado River (Topping and others, 2010). Conducting HFEs when the sand on the bed of the Colorado River is depleted and coarse can result in relatively widespread erosion of sandbars during HFEs (Hazel and others, 1999; Schmidt, 1999, Rubin and others, 2002). Here we show that sandbar building during HFEs is maximized during periods following tributary floods that resupply the river with large amounts of very fine sand. Conversely, sandbars erode during HFEs when the antecedent sand supply is depleted and coarse. HFEs should be conducted during the fall-winter months of October through January to take advantage of having the greatest amount of very fine sand available on the bed of the Colorado River in Marble Canyon. Conducting HFEs in the spring would necessitate lowering dam operations over the winter months in order to retain the very fine sand supplied during the previous summer.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"High-Flow Experiments Assessment Extended Abstracts ","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Adaptive Management Work Group Meeting","conferenceDate":"March 6-7, 2019","conferenceLocation":"Tempe, AZ","language":"English","publisher":"US Bureau of Reclamation Glen Canyon Dam Adaptive Management Program","usgsCitation":"Topping, D.J., Grams, P.E., Griffiths, R.E., Hazel, J.E., Kaplinski, M., Dean, D.J., Voichick, N., Unema, J.A., and Sabol, T.A., 2019, Optimal timing of high-flow experiments for sandbar deposition, in High-Flow Experiments Assessment Extended Abstracts , Tempe, AZ, March 6-7, 2019, p. 3-9.","productDescription":"7 p.","startPage":"3","endPage":"9","ipdsId":"IP-107813","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":366537,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364492,"type":{"id":15,"text":"Index Page"},"url":"https://www.usbr.gov/uc/progact/amp/amwg/2019-03-06-amwg-meeting/20190301-HFE_Extended_Abstracts-Combined_FINAL.pdf"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Eastern Grand Canyon, Lower Marble Canyon, Upper Marble Canyon ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.63894653320311,\n 36.84116367417466\n ],\n [\n -111.65817260742188,\n 36.84336173438382\n ],\n [\n -111.89437866210938,\n 36.518465989675875\n ],\n [\n -111.8133544921875,\n 36.48755716938576\n ],\n [\n -111.59088134765625,\n 36.82687474287728\n ],\n [\n -111.63894653320311,\n 36.84116367417466\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.89437866210938,\n 36.52177691707085\n ],\n [\n -111.92184448242188,\n 36.36048087912437\n ],\n [\n -111.82296752929688,\n 36.17557404062257\n ],\n [\n -111.7364501953125,\n 36.18665862660454\n ],\n [\n -111.82159423828125,\n 36.39586212000637\n ],\n [\n -111.81747436523438,\n 36.48976535146369\n ],\n [\n -111.89437866210938,\n 36.52177691707085\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.84356689453125,\n 36.17779108329074\n ],\n [\n -112.01385498046874,\n 36.13787471840729\n ],\n [\n -112.33245849609375,\n 36.25756282630298\n ],\n [\n -112.39562988281249,\n 36.184441834883\n ],\n [\n -112.2637939453125,\n 36.08462129606931\n ],\n [\n -111.99462890625,\n 36.00467348670187\n ],\n [\n -111.82708740234374,\n 36.04243673532787\n ],\n [\n -111.73919677734375,\n 36.1822249804225\n ],\n [\n -111.84356689453125,\n 36.17779108329074\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Topping, David J. 0000-0002-2104-4577 dtopping@usgs.gov","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":140985,"corporation":false,"usgs":true,"family":"Topping","given":"David","email":"dtopping@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":763903,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grams, Paul E. 0000-0002-0873-0708 pgrams@usgs.gov","orcid":"https://orcid.org/0000-0002-0873-0708","contributorId":1830,"corporation":false,"usgs":true,"family":"Grams","given":"Paul","email":"pgrams@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":763904,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Griffiths, Ronald E. 0000-0003-3620-2926 rgriffiths@usgs.gov","orcid":"https://orcid.org/0000-0003-3620-2926","contributorId":162,"corporation":false,"usgs":true,"family":"Griffiths","given":"Ronald","email":"rgriffiths@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":763905,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hazel, Joseph E. Jr.","contributorId":19500,"corporation":false,"usgs":true,"family":"Hazel","given":"Joseph","suffix":"Jr.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":763906,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kaplinski, Matthew","contributorId":198818,"corporation":false,"usgs":false,"family":"Kaplinski","given":"Matthew","affiliations":[],"preferred":false,"id":763907,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dean, David J. 0000-0003-0203-088X djdean@usgs.gov","orcid":"https://orcid.org/0000-0003-0203-088X","contributorId":131047,"corporation":false,"usgs":true,"family":"Dean","given":"David","email":"djdean@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":763908,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Voichick, Nicholas 0000-0002-9716-5906 nvoichick@usgs.gov","orcid":"https://orcid.org/0000-0002-9716-5906","contributorId":203632,"corporation":false,"usgs":true,"family":"Voichick","given":"Nicholas","email":"nvoichick@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":763909,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Unema, Joel A. 0000-0002-7428-219X junema@usgs.gov","orcid":"https://orcid.org/0000-0002-7428-219X","contributorId":216116,"corporation":false,"usgs":true,"family":"Unema","given":"Joel","email":"junema@usgs.gov","middleInitial":"A.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763910,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sabol, Thomas A. 0000-0002-4299-2285 tsabol@usgs.gov","orcid":"https://orcid.org/0000-0002-4299-2285","contributorId":3403,"corporation":false,"usgs":true,"family":"Sabol","given":"Thomas","email":"tsabol@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":763911,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70205097,"text":"70205097 - 2019 - Results from the Department of the Interior Strategic Sciences Group Technical Support for the 2018 Kīlauea Eruption","interactions":[],"lastModifiedDate":"2019-10-31T14:40:07","indexId":"70205097","displayToPublicDate":"2019-03-31T14:39:49","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5883,"text":"Cooperator Report","active":true,"publicationSubtype":{"id":1}},"title":"Results from the Department of the Interior Strategic Sciences Group Technical Support for the 2018 Kīlauea Eruption","docAbstract":"On May 3, 2018 Hawai'i’s Kīlauea volcano erupted, ultimately covering 35 square kilometers (13.5 square miles) of land in lava, destroying over 700 homes in multiple subdivisions, and displacing over 2500 residents in the Puna District on the southeast flank of the volcano. Simultaneously, Kīlauea’s summit experienced its largest collapse in 200 years, with a total of 500 meters (1,640 feet) subsidence and tens of earthquakes each day rattling surrounding communities. These simultaneous events impacted residential, agricultural, business, tourist, and scientific areas. Hawai'i Volcanoes National Park closed, slowing tourism and the local economy. The building housing the United States Geological Survey (USGS) Hawai'ian Volcano Observatory also closed, displacing scientists responsible for monitoring the erupting volcano. The eruption lasted 107 days, one of the longest eruptions in recent history in lower Puna. Throughout the eruption, uncertainty regarding the duration of the event, its extent, and total damage remained high. This uncertainty led to social tensions and fatigue across the affected community, responders, and local officials.
At the direction of the USGS Director, serving as the Science Advisor to the Secretary of the of the Interior, the Department of the Interior (DOI, hereafter also referred to as “the Department”) Strategic Sciences Group (SSG) convened a multidisciplinary group of 13 experts in Hilo, Hawai'i, on July 17-19, 2018. The SSG was charged with considering the cascading short- and long-term social, economic, and environmental consequences of the 2018 Kīlauea eruption to DOI resources, employees, and facilities as well as to the surrounding communities. Established in 2012, the SSG is designed to complement ongoing response efforts by providing strategic science to identify potential social, environmental, and economic consequences and potential interventions during a crisis event affecting Departmental resources. This activation of the SSG was funded by the USGS. It was the first official activation of the SSG since it supported Hurricane Sandy recovery in 2013 and provided the unique opportunity to test new methods, including bolstering the social science expertise on the team and interacting directly with stakeholders before, during, and after deployment.
The SSG Kīlauea Team developed three scenarios focused on 1) the impacts of continued seismicity and deformation at the summit; 2) vog (volcanic smog); and 3) the eruption in the lower East Rift Zone. Across all scenarios, areas of concern included human health (physical and mental); biosecurity (for example, protecting threatened and endangered species); infrastructure (impacts caused by seismic activity, vog, and lava); communications (internal and public-facing); long-term planning (related to tourism, access, housing); and ongoing needs for community engagement and empowerment. The SSG Kīlauea Team identified 59 potential actions for mitigation. Highlights of these actions were delivered to stakeholders during briefings in August and September 2018. Examples of potential actions included: ● Seize opportunities to develop new partnerships within and outside of DOI to address facilities issues caused by seismic damage and park closure. ● Educate community members and new workers to increase early detection of invasive species and establish new wash stations to address biosecurity threats to the park posed by more frequent commuting from new temporary Hilo locations. ● Create a \"vog officer\" position to ensure coordination and consistency in communication about vog hazards across federal, state, and county agencies.
It is important to note that the potential actions are suggestions and are not intended to be prescriptive. The SSG uses “blue sky thinking” when developing these potential actions to encourage creative approaches to problem solving. In some cases, some of the suggested potential actions derived by the SSG are actions that were already underway, or already under consideration and helped to affirm 3 activities by different stakeholders. In other cases, the actions may be new ideas. Some were applicable to immediate response, while others are more relevant to long-term recovery.
This report details the results from the July 2018 activation of the SSG. It includes background on Kīlauea and the 2018 eruption, an overview of SSG methodology, and a complete list of the potential actions to mitigate cascading consequences identified by the SSG. Importantly, Appendix 4 includes several rapidly assembled “issue papers” on a variety of topics for consideration for recovery and future preparedness and response activities. This report is designed to be used by both the Department and more broadly by partners, including the Federal Emergency Management Agency, Hawai'i County, Hawai'i Department of Health, and the Hawai'i Emergency Management Agency.
","language":"English","publisher":"U.S. Department of the Interior","usgsCitation":"Ludwig, K.A., Pennaz, A., and Wilkins, A., 2019, Results from the Department of the Interior Strategic Sciences Group Technical Support for the 2018 Kīlauea Eruption: Cooperator Report, 56 p.","productDescription":"56 p.","ipdsId":"IP-106209","costCenters":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"links":[{"id":368843,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368841,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://edit.doi.gov/sites/doi.gov/files/uploads/ssg-kilauea-cooperator-report-508.pdf"}],"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 -155.3243637084961,\n 19.279711728098313\n ],\n [\n -155.05828857421875,\n 19.279711728098313\n ],\n [\n -155.05828857421875,\n 19.45008284272312\n ],\n [\n -155.3243637084961,\n 19.45008284272312\n ],\n [\n -155.3243637084961,\n 19.279711728098313\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ludwig, K. A. 0000-0002-0935-9410 kaludwig@usgs.gov","orcid":"https://orcid.org/0000-0002-0935-9410","contributorId":596,"corporation":false,"usgs":true,"family":"Ludwig","given":"K.","email":"kaludwig@usgs.gov","middleInitial":"A.","affiliations":[{"id":5059,"text":"Office of the Chief Scientist for National Hazards","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":770007,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pennaz, Alice 0000-0002-7336-2761","orcid":"https://orcid.org/0000-0002-7336-2761","contributorId":205792,"corporation":false,"usgs":true,"family":"Pennaz","given":"Alice","email":"","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":770008,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilkins, Aleeza 0000-0003-4356-153X awilkins@usgs.gov","orcid":"https://orcid.org/0000-0003-4356-153X","contributorId":169720,"corporation":false,"usgs":true,"family":"Wilkins","given":"Aleeza","email":"awilkins@usgs.gov","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":774379,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70215431,"text":"70215431 - 2019 - The application of oyster reefs in shoreline protection: Are we over‐engineering for an ecosystem engineer?","interactions":[],"lastModifiedDate":"2020-10-20T13:47:27.032858","indexId":"70215431","displayToPublicDate":"2019-03-30T06:33:28","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"The application of oyster reefs in shoreline protection: Are we over‐engineering for an ecosystem engineer?","docAbstract":"