{"pageNumber":"1243","pageRowStart":"31050","pageSize":"25","recordCount":184858,"records":[{"id":70154779,"text":"70154779 - 2015 - The influence of Tamarix ramosissima defoliation on population movements of the northern tamarisk beetle (Diorhabda carinulata) within the Colorado Plateau: Chapter 18","interactions":[],"lastModifiedDate":"2018-07-31T13:15:02","indexId":"70154779","displayToPublicDate":"2015-06-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"The influence of Tamarix ramosissima defoliation on population movements of the northern tamarisk beetle (Diorhabda carinulata) within the Colorado Plateau: Chapter 18","docAbstract":"The northern tamarisk beetle (Diorhabda carinulata) was introduced to the Colorado Plateau within the Colorado River Basin in 2004, in an effort to control invasive/exotic tamarisk (Tamarix ramosissima) plants. Since release, there has been rapid beetle colonization and subsequent defoliation of tamarisk along the Colorado River corridor. We collected plant phenology and beetle abundance data from the Dolores and San Juan rivers, two major tributaries of the Colorado River, to document tamarisk defoliation and beetle movement patterns. We found D. carinulata population movement patterns to be highly influenced by the availability of food resources, with local beetle boom and bust events appearing common. Beetles were able to defoliate from 35-65 km of river corridor tamarisk habitat each year. Following intensive tamarisk defoliation of large riparian reaches, beetles displayed a pattern of temporary abandonment in the following year with recolonization of that habitat in the subsequent year. Larvae were found primarily in areas that had partial defoliation, while adults occurred throughout the river corridor but most often on the leading edge of defoliated habitats. Understanding this type of beetle behavior and movement patterns will be useful in the management of areas where D. carinulata has been established, and in areas where it has not yet colonized. This will also assist land managers to further understand how defoliation and the presence of D. carinulata influence tamarisk-dominated habitats within Colorado Plateau riparian ecosystems.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The Colorado Plateau VI: Science and Management at the Landscape Scale","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"University of Arizona Press","publisherLocation":"Tucson, AZ","isbn":"978-0-8165-3159-2","usgsCitation":"Jamison, L., van Riper, C., and Bean, D., 2015, The influence of Tamarix ramosissima defoliation on population movements of the northern tamarisk beetle (Diorhabda carinulata) within the Colorado Plateau: Chapter 18, chap. of The Colorado Plateau VI: Science and Management at the Landscape Scale, p. 281-291.","productDescription":"11 p.","startPage":"281","endPage":"291","ipdsId":"IP-036267","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":340950,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":305555,"type":{"id":15,"text":"Index Page"},"url":"https://www.uapress.arizona.edu/Books/bid2511.htm"}],"country":"United States","otherGeospatial":"Dolores River, San Juan River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.12857055664061,\n 39.02025064038437\n ],\n [\n -109.38674926757811,\n 38.810820900566135\n ],\n [\n -108.83193969726562,\n 38.348118547988065\n ],\n [\n -108.57376098632812,\n 38.568569091731305\n ],\n [\n -109.12857055664061,\n 39.02025064038437\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.37689208984374,\n 37.122001366241\n ],\n [\n -109.61196899414061,\n 37.122001366241\n ],\n [\n -109.61196899414061,\n 37.34941777989473\n ],\n [\n -110.37689208984374,\n 37.34941777989473\n ],\n [\n -110.37689208984374,\n 37.122001366241\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"591183b5e4b0e541a03c1a66","contributors":{"authors":[{"text":"Jamison, Levi R.","contributorId":45163,"corporation":false,"usgs":true,"family":"Jamison","given":"Levi R.","affiliations":[],"preferred":false,"id":564122,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Riper, Charles III 0000-0003-1084-5843 charles_van_riper@usgs.gov","orcid":"https://orcid.org/0000-0003-1084-5843","contributorId":169488,"corporation":false,"usgs":true,"family":"van Riper","given":"Charles","suffix":"III","email":"charles_van_riper@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":564120,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bean, Dan W.","contributorId":58133,"corporation":false,"usgs":true,"family":"Bean","given":"Dan W.","affiliations":[],"preferred":false,"id":564121,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70154925,"text":"70154925 - 2015 - Measuring storm tide and high-water marks caused by Hurricane Sandy in New York: Chapter 2","interactions":[],"lastModifiedDate":"2017-05-08T14:41:50","indexId":"70154925","displayToPublicDate":"2015-06-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Measuring storm tide and high-water marks caused by Hurricane Sandy in New York: Chapter 2","docAbstract":"In response to Hurricane Sandy, personnel from the U.S. Geological Survey (USGS) deployed a temporary network of storm-tide sensors from Virginia to Maine. During the storm, real-time water levels were available from tide gages and rapid-deployment gages (RDGs). After the storm, USGS scientists retrieved the storm-tide sensors and RDGs and surveyed high-water marks. These data demonstrate that the timing of peak storm surge relative to astronomical tide was extremely important in southeastern New York. For example, along the south shores of New York City and western Suffolk County, the peak storm surge of 6–9 ft generally coincided with the astronomical high tide, which resulted in substantial coastal flooding. In the Peconic Estuary and northern Nassau County, however, the peak storm surge of 9 ft and nearly 12 ft, respectively, nearly coincided with normal low tide, which helped spare these communities from more severe coastal flooding.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Learning from the Impacts of Superstorm Sandy","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier Inc.","publisherLocation":"Amsterdam","doi":"10.1016/B978-0-12-801520-9.00002-X","usgsCitation":"Simonson, A.E., and Behrens, R., 2015, Measuring storm tide and high-water marks caused by Hurricane Sandy in New York: Chapter 2, chap. of Learning from the Impacts of Superstorm Sandy, p. 7-19, https://doi.org/10.1016/B978-0-12-801520-9.00002-X.","productDescription":"9 p.","startPage":"7","endPage":"19","ipdsId":"IP-055477","costCenters":[{"id":474,"text":"New York Water Science 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York\",\"nation\":\"USA \"}}]}","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"591183b5e4b0e541a03c1a64","contributors":{"authors":[{"text":"Simonson, Amy E. asimonso@usgs.gov","contributorId":1060,"corporation":false,"usgs":true,"family":"Simonson","given":"Amy","email":"asimonso@usgs.gov","middleInitial":"E.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":564368,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Behrens, Riley rbehrens@usgs.gov","contributorId":5509,"corporation":false,"usgs":true,"family":"Behrens","given":"Riley","email":"rbehrens@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":564369,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70189125,"text":"70189125 - 2015 - A reply to Iversen et al.'s comment “Monitoring of animal abundance by environmental DNA - An increasingly obscure perspective”","interactions":[],"lastModifiedDate":"2021-06-04T16:04:14.96278","indexId":"70189125","displayToPublicDate":"2015-06-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"A reply to Iversen et al.'s comment “Monitoring of animal abundance by environmental DNA - An increasingly obscure perspective”","docAbstract":"We appreciate the conversation put forward by Iversen et al. (2015) in their response to our article “Quantification of eDNA shedding rates from invasive bighead carp Hypophthalmichthys nobilis and silver carp Hypophthalmichthys molitrix” in the 2015 environmental DNA special issue of Biological Conservation.
We agree with Iversen et al.'s concern about overly optimistic conclusions that could be drawn from the current eDNA literature. One hope for eDNA technology is that it can be used in estimating abundance or population density. Evidence suggests that eDNA measurements correlate with total biomass (Takahara et al., 2012) rather than abundance. We demonstrate a similar relationship between biomass and eDNA shedding rates. Nevertheless, without field testing of these methods and specific survey protocols, we cannot make strong conclusions regarding the technique's field applicability. In our manuscript, we attempted to point out areas in which more research is needed.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2015.09.025","usgsCitation":"Klymus, K.E., Richter, C.A., Chapman, D., and Paukert, C.P., 2015, A reply to Iversen et al.'s comment “Monitoring of animal abundance by environmental DNA - An increasingly obscure perspective”: Biological Conservation, v. 192, p. 481-482, https://doi.org/10.1016/j.biocon.2015.09.025.","productDescription":"2 p.","startPage":"481","endPage":"482","ipdsId":"IP-068606","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":343228,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"192","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59576336e4b0d1f9f051b518","contributors":{"authors":[{"text":"Klymus, Katy E. 0000-0002-8843-6241 kklymus@usgs.gov","orcid":"https://orcid.org/0000-0002-8843-6241","contributorId":5043,"corporation":false,"usgs":true,"family":"Klymus","given":"Katy","email":"kklymus@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":703081,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richter, Cathy A. 0000-0001-7322-4206 crichter@usgs.gov","orcid":"https://orcid.org/0000-0001-7322-4206","contributorId":1878,"corporation":false,"usgs":true,"family":"Richter","given":"Cathy","email":"crichter@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":703082,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chapman, Duane 0000-0002-1086-8853 dchapman@usgs.gov","orcid":"https://orcid.org/0000-0002-1086-8853","contributorId":1291,"corporation":false,"usgs":true,"family":"Chapman","given":"Duane","email":"dchapman@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":703083,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paukert, Craig P. 0000-0002-9369-8545 cpaukert@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":147821,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","email":"cpaukert@usgs.gov","middleInitial":"P.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":703084,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70189946,"text":"70189946 - 2015 - Baseline and premining geochemical characterization of mined sites","interactions":[],"lastModifiedDate":"2017-07-31T13:35:46","indexId":"70189946","displayToPublicDate":"2015-06-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Baseline and premining geochemical characterization of mined sites","docAbstract":"A rational goal for environmental restoration of new, active, or inactive mine sites would be ‘natural background’ or the environmental conditions that existed before any mining activities or other related anthropogenic activities. In a strictly technical sense, there is no such thing as natural background (or entirely non-anthropogenic) existing today because there is no part of the planet earth that has not had at least some chemical disturbance from anthropogenic activities. Hence, the terms ‘baseline’ and ‘pre-mining’ are preferred to describe these conditions. Baseline conditions are those that existed at the time of the characterization which could be pre-mining, during mining, or post-mining. Protocols for geochemically characterizing pre-mining conditions are not well-documented for sites already mined but there are two approaches that seem most direct and least ambiguous. One is characterization of analog sites along with judicious application of geochemical modeling. The other is reactive-transport modeling (based on careful synoptic sampling with tracer-injection) and subtracting inputs from known mining and mineral processing. Several examples of acidic drainage are described from around the world documenting the range of water compositions produced from pyrite oxidation in the absence of mining. These analog sites provide insight to the processes forming mineralized waters in areas untouched by mining. Natural analog water-chemistry data is compared with the higher metal concentrations, metal fluxes, and weathering rates found in mined areas in the few places where comparisons are possible. The differences are generally 1–3 orders of magnitude higher for acid mine drainage.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2014.12.010","usgsCitation":"Nordstrom, D.K., 2015, Baseline and premining geochemical characterization of mined sites: Applied Geochemistry, v. 57, p. 17-34, https://doi.org/10.1016/j.apgeochem.2014.12.010.","productDescription":"18 p.","startPage":"17","endPage":"34","ipdsId":"IP-061799","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":344471,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5980419ce4b0a38ca2789358","contributors":{"authors":[{"text":"Nordstrom, D. Kirk 0000-0003-3283-5136 dkn@usgs.gov","orcid":"https://orcid.org/0000-0003-3283-5136","contributorId":749,"corporation":false,"usgs":true,"family":"Nordstrom","given":"D.","email":"dkn@usgs.gov","middleInitial":"Kirk","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":706847,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70186944,"text":"70186944 - 2015 - Risk management of El Chichón and Tacaná Volcanoes: Lessons learned from past volcanic crises: Chapter 8","interactions":[],"lastModifiedDate":"2017-04-17T09:20:42","indexId":"70186944","displayToPublicDate":"2015-06-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Risk management of El Chichón and Tacaná Volcanoes: Lessons learned from past volcanic crises: Chapter 8","docAbstract":"Before 1985, Mexico lacked civil-protection agencies with a mission to prevent and respond to natural and human-caused disasters; thus, the government was unprepared for the sudden eruption of El Chichón Volcano in March–April 1982, which produced the deadliest volcanic disaster in the country’s recorded history (~2,000 fatalities). With the sobering lessons of El Chichón still fresh, scientists and governmental officials had a higher awareness of possible disastrous outcome when Tacaná Volcano began to exhibit unrest in late 1985. Seismic and geochemical studies were quickly initiated to monitor activity. At the same time, scientists worked actively with officials of the Federal and local agencies to develop the “Plan Operativo” (Operational Plan)—expressly designed to effectively communicate hazards information and reduce confusion and panic among the affected population. Even though the volcano-monitoring data obtained during the Tacaná crisis were limited, when used in conjunction with protocols of the Operational Plan, they proved useful in mitigating risk and easing public anxiety. While comprehensive monitoring is not yet available, both El Chichón and Tacaná volcanoes are currently monitored—seismically and geochemically—within the scientific and economic resources available. Numerous post-eruption studies have generated new insights into the volcanic systems that have been factored into subsequent volcano monitoring and hazards assessments. The State of Chiapas is now much better positioned to deal with any future unrest or eruptive activity at El Chichón or Tacaná, both of which at the moment are quiescent as of 2014. Perhaps more importantly, the protocols first tested in 1986 at Tacaná have served as the basis for the development of risk-management practices for hazards from other active and potentially active volcanoes in Mexico. These practices have been most notably employed since 1994 at Volcán Popocatépetl since a major eruption under unfavorable prevailing winds may constitute a substantial threat to densely populated metropolitan Mexico City. While the 1982 El Chichón disaster was a national tragedy, it greatly accelerated volcanic emergency preparedness and multidisciplinary scientific studies of eruptive processes and products, not only at El Chichón but also at other explosive volcanoes in Mexico and elsewhere in the world.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Active Volcanoes of Chiapas (Mexico): El Chichón and Tacaná","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","publisherLocation":"Berlin","doi":"10.1007/978-3-642-25890-9_8","usgsCitation":"De la Cruz-Reyna, S., and Tilling, R.I., 2015, Risk management of El Chichón and Tacaná Volcanoes: Lessons learned from past volcanic crises: Chapter 8, chap. of Active Volcanoes of Chiapas (Mexico): El Chichón and Tacaná, p. 155-174, https://doi.org/10.1007/978-3-642-25890-9_8.","productDescription":"20 p.","startPage":"155","endPage":"174","ipdsId":"IP-037115","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":339780,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","state":"Chiapas","otherGeospatial":"El Chichón Volcano, Tacaná Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.5,\n 13\n ],\n [\n -86,\n 13\n ],\n [\n -86,\n 23\n ],\n [\n -105.5,\n 23\n ],\n [\n -105.5,\n 13\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-26","publicationStatus":"PW","scienceBaseUri":"58f5d442e4b0f2e20545e41d","contributors":{"authors":[{"text":"De la Cruz-Reyna, Servando","contributorId":67650,"corporation":false,"usgs":true,"family":"De la Cruz-Reyna","given":"Servando","email":"","affiliations":[],"preferred":false,"id":691187,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tilling, Robert I. 0000-0003-4263-7221 rtilling@usgs.gov","orcid":"https://orcid.org/0000-0003-4263-7221","contributorId":2567,"corporation":false,"usgs":true,"family":"Tilling","given":"Robert","email":"rtilling@usgs.gov","middleInitial":"I.","affiliations":[],"preferred":true,"id":691102,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70187563,"text":"70187563 - 2015 - Decision support system for optimally managing water resources to meet multiple objectives in the Savannah River Basin","interactions":[],"lastModifiedDate":"2020-12-18T15:12:08.313004","indexId":"70187563","displayToPublicDate":"2015-06-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5389,"text":"Journal of South Carolina Water Resources","active":true,"publicationSubtype":{"id":10}},"title":"Decision support system for optimally managing water resources to meet multiple objectives in the Savannah River Basin","docAbstract":"Managers of large river basins face conflicting demands for water resources such as wildlife habitat, water supply, wastewater assimilative capacity, flood control, hydroelectricity, and recreation. The Savannah River Basin, for example, has experienced three major droughts since 2000 that resulted in record low water levels in its reservoirs, impacting dependent economies for years. The Savannah River estuary contains two municipal water intakes and the ecologically sensitive freshwater tidal marshes of the Savannah National Wildlife Refuge. The Port of Savannah is the fourth busiest in the United States, and modifications to the harbor to expand ship traffic since the 1970s have caused saltwater to migrate upstream, reducing the freshwater marsh’s acreage more than 50 percent. A planned deepening of the harbor includes flow-alteration features to minimize further migration of salinity, whose effectiveness will only be known after all construction is completed.
One of the challenges of large basin management is the optimization of water use through ongoing regional economic development, droughts, and climate change. This paper describes a model of the Savannah River Basin designed to continuously optimize regulated flow to meet prioritized objectives set by resource managers and stakeholders. The model was developed from historical data using machine learning, making it more accurate and adaptable to changing conditions than traditional models. The model is coupled to an optimization routine that computes the daily flow needed to most efficiently meet the water-resource management objectives. The model and optimization routine are packaged in a decision support system that makes it easy for managers and stakeholders to use. Simulation results show that flow can be regulated to substantially reduce salinity intrusions in the Savannah National Wildlife Refuge, while conserving more water in the reservoirs. A method for using the model to assess the effectiveness of the flow-alteration features after the deepening also is demonstrated.
","language":"English","publisher":"Institute of Computational Ecology","publisherLocation":"Clemson, SC","doi":"10.34068/JSCWR.02.03","usgsCitation":"Roehl, E.A., and Conrads, P., 2015, Decision support system for optimally managing water resources to meet multiple objectives in the Savannah River Basin: Journal of South Carolina Water Resources, v. 2, no. 1, p. 16-23, https://doi.org/10.34068/JSCWR.02.03.","productDescription":"8 p.","startPage":"16","endPage":"23","ipdsId":"IP-066414","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":472019,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.34068/jscwr.02.03","text":"Publisher Index Page"},{"id":381502,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia, North Carolina, South Carolina","otherGeospatial":"Savannah River 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,{"id":70188317,"text":"70188317 - 2015 - The challenges of remote monitoring of wetlands","interactions":[],"lastModifiedDate":"2017-06-06T10:44:23","indexId":"70188317","displayToPublicDate":"2015-06-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"The challenges of remote monitoring of wetlands","docAbstract":"Wetlands are highly productive and support a wide variety of ecosystem goods and services. Various forms of global change impose compelling needs for timely and reliable information on the status of wetlands worldwide, but several characteristics of wetlands make them challenging to monitor remotely: they lack a single, unifying land-cover feature; they tend to be highly dynamic and their energy signatures are constantly changing; and steep environmental gradients in and around wetlands produce narrow ecotones that often are below the resolving capacity of remote sensors. These challenges and needs set the context for a special issue focused on wetland remote sensing. Contributed papers responded to one of three overarching questions aimed at improving remote, large-area monitoring of wetlands: (1) What approaches and data products are being developed specifically to support regional to global long-term monitoring of wetland landscapes? (2) What are the promising new technologies and sensor/multisensor approaches for more accurate and consistent detection of wetlands? (3) Are there studies that demonstrate how remote long-term monitoring of wetland landscapes can reveal changes that correspond with changes in land cover and land use and/or changes in climate?
","language":"English","publisher":"MDPI","doi":"10.3390/rs70810938","usgsCitation":"Gallant, A.L., 2015, The challenges of remote monitoring of wetlands: Remote Sensing, v. 7, no. 8, p. 10938-10950, https://doi.org/10.3390/rs70810938.","productDescription":"13 p.","startPage":"10938","endPage":"10950","ipdsId":"IP-068289","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":472018,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs70810938","text":"Publisher Index Page"},{"id":342136,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"8","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-24","publicationStatus":"PW","scienceBaseUri":"5937bf2ee4b0f6c2d0d9c76b","contributors":{"authors":[{"text":"Gallant, Alisa L. 0000-0002-3029-6637 gallant@usgs.gov","orcid":"https://orcid.org/0000-0002-3029-6637","contributorId":2940,"corporation":false,"usgs":true,"family":"Gallant","given":"Alisa","email":"gallant@usgs.gov","middleInitial":"L.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":697190,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70189968,"text":"70189968 - 2015 - Using monitoring and modeling to define the hazard posed by the reactivated Ferguson rock slide, Merced Canyon, California","interactions":[],"lastModifiedDate":"2017-07-31T07:30:24","indexId":"70189968","displayToPublicDate":"2015-06-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2822,"text":"Natural Hazards","active":true,"publicationSubtype":{"id":10}},"title":"Using monitoring and modeling to define the hazard posed by the reactivated Ferguson rock slide, Merced Canyon, California","docAbstract":"Rapid onset natural disasters such as large landslides create a need for scientific information about the event, which is vital to ensuring public safety, restoring infrastructure, preventing additional damage, and resuming normal economic activity. At the same time, there is limited data available upon which to base reliable scientific responses. Monitoring movement and modeling runout are mechanisms for gaining vital data and reducing the uncertainty created about a rapid onset natural disaster. We examine the effectiveness of this approach during the 2006 Ferguson rock slide disaster, which severed California Highway 140. Even after construction of a bypass restoring normal access to the community of El Portal, CA and a major entrance to Yosemite National Park, significant scientific questions remained. The most important for the affected public and emergency service agencies was the likelihood that access would again be severed during the impending rainy season and the possibility of a landslide dam blocking flow in the Merced River. Real-time monitoring of the Ferguson rock slide yielded clear information on the continuing movement of the rock slide and its implications for emergency response actions. Similarly, simulation of runout deposits using a physically based model together with volumes and slope steepness information demonstrated the conditions necessary for a landslide dam-forming event and the possible consequences of such an event given the dimensions of potential rock slide deposits.
","language":"English","publisher":"Springer","doi":"10.1007/s11069-014-1518-4","usgsCitation":"De Graff, J.V., Gallegos, A.J., Reid, M.E., Lahusen, R.G., and Denlinger, R.P., 2015, Using monitoring and modeling to define the hazard posed by the reactivated Ferguson rock slide, Merced Canyon, California: Natural Hazards, v. 76, no. 2, p. 769-789, https://doi.org/10.1007/s11069-014-1518-4.","productDescription":"21 p.","startPage":"769","endPage":"789","ipdsId":"IP-055872","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":344446,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Merced Canyon","volume":"76","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-11-28","publicationStatus":"PW","scienceBaseUri":"5980419ce4b0a38ca2789350","contributors":{"authors":[{"text":"De Graff, Jerome V.","contributorId":195393,"corporation":false,"usgs":false,"family":"De Graff","given":"Jerome","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":706930,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gallegos, Alan J.","contributorId":49094,"corporation":false,"usgs":true,"family":"Gallegos","given":"Alan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":706931,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reid, Mark E. 0000-0002-5595-1503 mreid@usgs.gov","orcid":"https://orcid.org/0000-0002-5595-1503","contributorId":1167,"corporation":false,"usgs":true,"family":"Reid","given":"Mark","email":"mreid@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":706927,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lahusen, Richard G. rlahusen@usgs.gov","contributorId":535,"corporation":false,"usgs":true,"family":"Lahusen","given":"Richard","email":"rlahusen@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":706928,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Denlinger, Roger P. 0000-0003-0930-0635 roger@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-0635","contributorId":2679,"corporation":false,"usgs":true,"family":"Denlinger","given":"Roger","email":"roger@usgs.gov","middleInitial":"P.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":706929,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70190041,"text":"70190041 - 2015 - Updating the USGS seismic hazard maps for Alaska","interactions":[],"lastModifiedDate":"2017-08-06T16:12:12","indexId":"70190041","displayToPublicDate":"2015-06-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Updating the USGS seismic hazard maps for Alaska","docAbstract":"The U.S. Geological Survey makes probabilistic seismic hazard maps and engineering design maps for building codes, emergency planning, risk management, and many other applications. The methodology considers all known earthquake sources with their associated magnitude and rate distributions. Specific faults can be modeled if slip-rate or recurrence information is available. Otherwise, areal sources are developed from earthquake catalogs or GPS data. Sources are combined with ground-motion estimates to compute the hazard. The current maps for Alaska were developed in 2007, and included modeled sources for the Alaska-Aleutian megathrust, a few crustal faults, and areal seismicity sources. The megathrust was modeled as a segmented dipping plane with segmentation largely derived from the slip patches of past earthquakes. Some megathrust deformation is aseismic, so recurrence was estimated from seismic history rather than plate rates. Crustal faults included the Fairweather-Queen Charlotte system, the Denali–Totschunda system, the Castle Mountain fault, two faults on Kodiak Island, and the Transition fault, with recurrence estimated from geologic data. Areal seismicity sources were developed for Benioff-zone earthquakes and for crustal earthquakes not associated with modeled faults. We review the current state of knowledge in Alaska from a seismic-hazard perspective, in anticipation of future updates of the maps. Updated source models will consider revised seismicity catalogs, new information on crustal faults, new GPS data, and new thinking on megathrust recurrence, segmentation, and geometry. Revised ground-motion models will provide up-to-date shaking estimates for crustal earthquakes and subduction earthquakes in Alaska.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2014.10.006","usgsCitation":"Mueller, C., Briggs, R.W., Wesson, R.L., and Petersen, M.D., 2015, Updating the USGS seismic hazard maps for Alaska: Quaternary Science Reviews, v. 113, p. 39-47, https://doi.org/10.1016/j.quascirev.2014.10.006.","productDescription":"9 p.","startPage":"39","endPage":"47","ipdsId":"IP-060564","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":344604,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"113","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59882a96e4b05ba66e9ffde0","contributors":{"authors":[{"text":"Mueller, Charles 0000-0002-1868-9710 cmueller@usgs.gov","orcid":"https://orcid.org/0000-0002-1868-9710","contributorId":140380,"corporation":false,"usgs":true,"family":"Mueller","given":"Charles","email":"cmueller@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":707285,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":139002,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":707286,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wesson, Robert L. 0000-0003-2702-0012 rwesson@usgs.gov","orcid":"https://orcid.org/0000-0003-2702-0012","contributorId":850,"corporation":false,"usgs":true,"family":"Wesson","given":"Robert","email":"rwesson@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":707287,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Petersen, Mark D. 0000-0001-8542-3990 mpetersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8542-3990","contributorId":1163,"corporation":false,"usgs":true,"family":"Petersen","given":"Mark","email":"mpetersen@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":707288,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70159642,"text":"70159642 - 2015 - Geomicrobial interactions with arsenic and antimony","interactions":[],"lastModifiedDate":"2017-04-24T09:25:38","indexId":"70159642","displayToPublicDate":"2015-06-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Geomicrobial interactions with arsenic and antimony","docAbstract":"Although arsenic and antimony are generally toxic to life, some microorganisms exist that can metabolize certain forms of these elements. Some can use arsenite or stibnite as potential or sole energy sources, whereas others can use aresenate and antimonite (as was discovered only recently) as terminal electron acceptors. Still other microbes can metabolize arsenic and antimony compounds to detoxify them. These reactions are important from a geomicrobial standpoint because they indicate that a number of microbes contribute to arsenic and antimony mobilization or immobilization in the environment and play a role in arsenic and antimony cycles. Recent reviews include five on prokaryotes and arsenic metabolism, a review with an arsenic perspective on biomining, and a series on environmental antimony, including one about antimony and its interaction with microbiota.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Ehrlich’s Geomicrobiology","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","publisherLocation":"Boca Raton","doi":"10.1201/b19121-16","usgsCitation":"Oremland, R.S., 2015, Geomicrobial interactions with arsenic and antimony, chap. of Ehrlich’s Geomicrobiology, p. 297-321, https://doi.org/10.1201/b19121-16.","productDescription":"25 p.","startPage":"297","endPage":"321","ipdsId":"IP-052226","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":340140,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ff0ea3e4b006455f2d61e2","contributors":{"authors":[{"text":"Oremland, Ronald S. 0000-0001-7382-0147 roremlan@usgs.gov","orcid":"https://orcid.org/0000-0001-7382-0147","contributorId":931,"corporation":false,"usgs":true,"family":"Oremland","given":"Ronald","email":"roremlan@usgs.gov","middleInitial":"S.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":579855,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70148141,"text":"sir20155074 - 2015 - Nutrient attenuation in rivers and streams, Puget Sound Basin, Washington","interactions":[],"lastModifiedDate":"2016-02-17T12:18:48","indexId":"sir20155074","displayToPublicDate":"2015-06-15T13:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5074","title":"Nutrient attenuation in rivers and streams, Puget Sound Basin, Washington","docAbstract":"Nutrients such as nitrogen and phosphorus are important for aquatic ecosystem health. Excessive amounts of nutrients, however, can make aquatic ecosystems harmful for biota because enhanced growth and decay cycles of aquatic algae can reduce dissolved oxygen in the water. In Puget Sound marine waters, low dissolved oxygen concentrations are observed in a number of marine nearshore areas, and nutrients have been identified as a major stressor to the local ecosystem. Delivery of nutrients from major rivers in the Puget Sound Basin to the marine environment can be large. Therefore, it is important to identify factors related to how nutrients are retained (attenuated) within streams and rivers in the Puget Sound Basin. Physical, chemical, and biological factors related to nutrient attenuation were identified through a review of related scientific literature.
\nNumerous empirical modeling approaches for estimating nutrient attenuation in streams and rivers also were compiled, and a subset of these models was applied to the Puget Sound Basin. In particular, models based on the physical characteristics of a river reach (RivR-N model) and on the physical and biological features of a river reach (vf model) were used and compared for the 17 major rivers draining to the Puget Sound. Data on the relative amount of instream attenuation (the fraction of nutrient input removed per kilometer of stream reach) showed some common and general themes. Firstly, headwater reaches throughout the Puget Sound Basin tend to be better than the main stems of the major rivers at attenuating nitrate and orthophosphorus (ortho-P). Secondly, rivers are more efficient at attenuating nitrate than ortho-P, probably because of the close relation between phosphorus and suspended sediment, which was not captured fully in the models. Thirdly, when comparing the RivR-N and vf models for nitrate, physical characteristics of the channel may be more effective predictors of relative nitrate attenuation for main stem reaches, whereas biological factors may be more effective predictors in headwater reaches. These results are explained in terms of four primary factors of attenuation: sinuosity, channel slope, specific discharge, and uptake velocity (vf) of the reach.
\nA simple scoring procedure based on these four factors showed that reaches where attenuation scores were high had higher relative attenuation of nutrients from the RivR-N and vf models. This attenuation \"scorecard\" can be used to quickly assess the potential for a given reach to attenuate nutrients. Seasonal relative attenuation at three case studies was greater in summer months (July through September) and much lower and almost constant from January through June. An analysis of relative attenuation across a range of nutrient concentrations showed that, at some point, relative instream attenuation is minimized. For nitrate, relative attenuation reached a minimum value greater than 3 milligrams of nitrogen per liter (mg N/L) during low flow and 1 mg N/L during high flow. For orthophosphate, minimum relative attenuation was observed at about 0.1 milligram of phosphorus per liter (mg P/L) for both low- and high-flow conditions. Generally, the temporal dynamics of nutrient attenuation are dependent on the travel time through a given reach, the proportion of flow in contact with the sediment, and the amount of biological activity. Improved understanding of nutrient attenuation in Puget Sound Basin will benefit from the compilation of more detailed data for specific discharge, channel slope, and channel sinuosity in Puget Sound streams and rivers. Additionally, field studies examining upstream-downstream changes in nutrient load and field-based measurements of vf are needed.
\nFrom a management perspective, preservation and improvement of instream nutrient attenuation should focus on increasing the travel time through a reach and contact time of water sediment (reactive) surfaces and lowering nutrient concentrations (and loads) to avoid saturation of instream attenuation and increase attenuation efficiency. These goals can be reached by maintaining and restoring channel-flood plain connectivity, maintaining and restoring healthy riparian zones along streams, managing point and nonpoint nutrient loads to streams and rivers, and restoring channel features that promote attenuation such as the addition of woody debris and maintaining pool-riffle morphologies. Many of these management approaches are already being undertaken during projects aimed to restore quality salmon habitat. Therefore, there is a dual benefit to these projects that also may lead to enhanced potential for nitrogen and phosphorus attenuation.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155074","collaboration":"Prepared in cooperation with the Washington State Department of Ecology","usgsCitation":"Sheibley, R.W., Konrad, C.P., and Black, R.W., 2015, Nutrient attenuation in rivers and streams, Puget Sound Basin, Washington (Version 1.0: Originally posted June 15, 2015; Version 1.1: February 2016): U.S. Geological Survey Scientific Investigations Report 2015-5074, vii, 67 p., https://doi.org/10.3133/sir20155074.","productDescription":"vii, 67 p.","numberOfPages":"80","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-061211","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":301233,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155074.PNG"},{"id":301231,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5074/"},{"id":301232,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5074/pdf/sir20155074.pdf","text":"Report","size":"25.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5074 Report"}],"country":"United States","state":"Washington","otherGeospatial":"Puget Sound Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.87109375,\n 48.980216985374994\n ],\n [\n -122.58544921875,\n 48.58932584966972\n ],\n [\n -123.00292968749999,\n 48.38544219115486\n ],\n [\n -123.00292968749999,\n 48.10743118848039\n ],\n [\n -123.92578125,\n 48.21003212234042\n ],\n [\n -124.34326171874999,\n 48.3416461723746\n ],\n [\n -124.71679687499999,\n 48.45835188280866\n ],\n [\n -124.87060546874999,\n 48.1367666796927\n ],\n [\n -124.62890625,\n 47.76886840424207\n ],\n [\n -124.49707031249999,\n 47.487513008956554\n ],\n [\n -124.34326171874999,\n 47.15984001304432\n ],\n [\n -124.23339843749999,\n 46.89023157359399\n ],\n [\n -124.16748046874999,\n 46.63435070293566\n ],\n [\n -124.1455078125,\n 46.28622391806708\n ],\n [\n -119.2236328125,\n 46.27103747280261\n ],\n [\n -119.13574218749999,\n 48.980216985374994\n ],\n [\n -122.87109375,\n 48.980216985374994\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0: Originally posted June 15, 2015; Version 1.1: February 2016","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"557fe91be4b023124e8ef92c","contributors":{"authors":[{"text":"Sheibley, Rich W. 0000-0003-1627-8536 sheibley@usgs.gov","orcid":"https://orcid.org/0000-0003-1627-8536","contributorId":3044,"corporation":false,"usgs":true,"family":"Sheibley","given":"Rich","email":"sheibley@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548705,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Konrad, Christopher P. 0000-0002-7354-547X cpkonrad@usgs.gov","orcid":"https://orcid.org/0000-0002-7354-547X","contributorId":1716,"corporation":false,"usgs":true,"family":"Konrad","given":"Christopher","email":"cpkonrad@usgs.gov","middleInitial":"P.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548706,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Black, Robert W. 0000-0002-4748-8213 rwblack@usgs.gov","orcid":"https://orcid.org/0000-0002-4748-8213","contributorId":1820,"corporation":false,"usgs":true,"family":"Black","given":"Robert","email":"rwblack@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548707,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70148563,"text":"ofr20141237 - 2015 - Total dissolved gas and water temperature in the lower Columbia River, Oregon and Washington, water year 2014","interactions":[],"lastModifiedDate":"2015-10-27T18:40:25","indexId":"ofr20141237","displayToPublicDate":"2015-06-15T09:45:00","publicationYear":"2015","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":"2014-1237","title":"Total dissolved gas and water temperature in the lower Columbia River, Oregon and Washington, water year 2014","docAbstract":"Significant Findings
\nAn analysis of total-dissolved-gas (TDG) and water-temperature data collected at eight fixed monitoring stations on the lower Columbia River in Oregon and Washington in water year 2014 indicated the following:
\n\n- All 81 TDG sensor laboratory checks that were performed after field deployment were within plus or minus (±) 0.5-percent saturation of a primary standard.
\n- After 3-4 weeks of deployment in the river, 68 of 75 TDG sensor field checks were within ±1.0-percent saturation of a secondary standard. Six of the field checks greater than ±1.0-percent saturation occurred at the John Day tailwater station, and three of these six checks resulted in periods of deleted data at the station.
\n- All 77 barometric pressure field checks were within ±1 millimeter of mercury of a primary standard, and all 74 water-temperature field checks were within ±0.2 degrees Celsius of a secondary standard.
\n- TDG data were considered complete if they were received in real time and were within 1-percent saturation of the expected value on the basis of calibration data, replicate quality-control measurements, and comparison to river conditions at adjacent stations. For the eight monitoring stations, data completeness ranged from 78.2 to 100 percent.
\n- All quality-assurance values exceed the criteria established by the U.S. Army Corps of Engineers TDG monitoring plan. Criteria for data completeness (95 percent) were met at six of the eight monitoring stations. Deleted data at the John Day tailwater station and missed transmissions at the Camas station resulted in data completeness below criteria.
\n
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141237","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Bragg, H., and Johnston, M.W., 2015, Total dissolved gas and water temperature in the lower Columbia River, Oregon and Washington, water year 2014: U.S. Geological Survey Open-File Report 2014-1237, vi, 26 p., https://doi.org/10.3133/ofr20141237.","productDescription":"vi, 26 p.","numberOfPages":"35","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-061155","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":301217,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141237.jpg"},{"id":301216,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1237/pdf/ofr20141237.pdf","text":"Report","size":"4.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2014-1237 Report"},{"id":301210,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1237/"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Lower Columbia River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.48657226562499,\n 45.61403741135093\n ],\n [\n -122.18994140624999,\n 45.644768217751924\n ],\n [\n -121.86035156249999,\n 45.740693395533064\n ],\n [\n -121.53625488281249,\n 45.75985868785574\n ],\n [\n -121.2176513671875,\n 45.729191061299936\n ],\n [\n -121.0638427734375,\n 45.68315803253308\n ],\n [\n -120.7452392578125,\n 45.77135470445036\n ],\n [\n -120.56945800781249,\n 45.786679041363726\n ],\n [\n -120.4046630859375,\n 45.706179285330855\n ],\n [\n -120.45959472656249,\n 45.644768217751924\n ],\n [\n -120.66284179687499,\n 45.66780526567164\n ],\n [\n -120.92651367187499,\n 45.598665689820656\n ],\n [\n -121.19567871093751,\n 45.54867850352087\n ],\n [\n -121.3275146484375,\n 45.65628792636447\n ],\n [\n -121.761474609375,\n 45.63324613981234\n ],\n [\n -122.1844482421875,\n 45.521743896993634\n ],\n [\n -122.76672363281249,\n 45.471688258104614\n ],\n [\n -122.89306640624999,\n 45.706179285330855\n ],\n [\n -122.93701171874999,\n 45.98169518512228\n ],\n [\n -122.9974365234375,\n 46.09609080214316\n ],\n [\n -123.1842041015625,\n 46.145588688591964\n ],\n [\n -123.1622314453125,\n 46.195042108660154\n ],\n [\n -122.92602539062501,\n 46.20264638061019\n ],\n [\n -122.794189453125,\n 46.06560846138691\n ],\n [\n -122.5909423828125,\n 45.775186183521036\n ],\n [\n -122.48657226562499,\n 45.61403741135093\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"557fe91ee4b023124e8ef92e","contributors":{"authors":[{"text":"Bragg, Heather M. hmbragg@usgs.gov","contributorId":428,"corporation":false,"usgs":true,"family":"Bragg","given":"Heather M.","email":"hmbragg@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548639,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnston, Matthew W. mattj@usgs.gov","contributorId":3066,"corporation":false,"usgs":true,"family":"Johnston","given":"Matthew","email":"mattj@usgs.gov","middleInitial":"W.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548669,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70155905,"text":"70155905 - 2015 - Regional scale estimates of baseflow and factors influencing baseflow in the Upper Colorado River Basin","interactions":[],"lastModifiedDate":"2020-12-10T13:25:38.079996","indexId":"70155905","displayToPublicDate":"2015-06-15T01:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Regional scale estimates of baseflow and factors influencing baseflow in the Upper Colorado River Basin","docAbstract":"\n
Study region
\n
The study region encompasses the Upper Colorado River Basin (UCRB), which provides water for 40 million people and is a vital part of the water supply in the western U.S.
\n
Study focus
\n
Groundwater and surface water can be considered a single water resource and thus it is important to understand groundwater contributions to streamflow, or baseflow, within a region. Previously, quantification of baseflow using chemical mass balance at large numbers of sites was not possible because of data limitations. A new method using regression-derived daily specific conductance values with conductivity mass balance hydrograph separation allows for baseflow estimation at sites across large regions. This method was applied to estimate baseflow discharge at 229 sites across the UCRB. Subsequently, climate, soil, topography, and land cover characteristics were statistically evaluated using principal component analysis (PCA) to determine their influence on baseflow discharge.
\n
New hydrological insights for the region
\n
Results suggest that approximately half of the streamflow in the UCRB is baseflow derived from groundwater discharge to streams. Higher baseflow yields typically occur in upper elevation areas of the UCRB. PCA identified precipitation, snow, sand content of soils, elevation, land surface slope, percent grasslands, and percent natural barren lands as being positively correlated with baseflow yield; whereas temperature, potential evapotranspiration, silt and clay content of soils, percent agriculture, and percent shrublands were negatively correlated with baseflow yield.
\n
Burbot, Lota lota (L.), populations are declining throughout much of their native distribution. Although numerous aspects of burbot ecology are well understood, less is known about effective sampling techniques for burbot in lotic systems. Occupancy models were used to estimate the probability of detection (![\"inline](\"http://onlinelibrary.wiley.com/store/10.1111/fme.12118/asset/equation/fme12118-math-0001.png?v=1&t=ipeiwb9x&s=fe4ed3869fb301b5147702a271dc09f79f467a27\")
) for three gears (6.4- and 19-mm bar mesh hoop nets, night electric fishing), within the context of various habitat characteristics. During the summer, night electric fishing had the highest estimated detection probability for both juvenile (![\"inline](\"http://onlinelibrary.wiley.com/store/10.1111/fme.12118/asset/equation/fme12118-math-0002.png?v=1&t=ipeiwb9y&s=49f6470047433ac9183166678ea530148aa2871b\")
, 95% C.I.; 0.35, 0.26–0.46) and adult (0.30, 0.20–0.41) burbot. However, small-mesh hoop nets (6.4-mm bar mesh) had similar detection probabilities to night electric fishing for both juvenile (0.26, 0.17–0.36) and adult (0.27, 0.18–0.39) burbot during the summer. In autumn, a similar overlap between detection probabilities was observed for juvenile and adult burbot. Small-mesh hoop nets had the highest estimated probability of detection for both juvenile and adult burbot (0.46, 0.33–0.59), whereas night electric fishing had a detection probability of 0.39 (0.28–0.52) for juvenile and adult burbot. By using detection probabilities to compare gears, the most effective sampling technique can be identified, leading to increased species detections and more effective management of burbot.
","language":"English","publisher":"John Wiley & Sons","doi":"10.1111/fme.12118","usgsCitation":"Klein, Z.B., Quist, M.C., Rhea, D., and Senecal, A., 2015, Sampling techniques for burbot in a western non-wadeable river: Fisheries Management and Ecology, v. 22, no. 3, p. 213-223, https://doi.org/10.1111/fme.12118.","productDescription":"11 p.","startPage":"213","endPage":"223","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055724","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323553,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-21","publicationStatus":"PW","scienceBaseUri":"575fd930e4b04f417c2baa73","contributors":{"authors":[{"text":"Klein, Z. B.","contributorId":171782,"corporation":false,"usgs":false,"family":"Klein","given":"Z.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":638623,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quist, Michael C. 0000-0001-8268-1839 mquist@usgs.gov","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":171392,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","email":"mquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":637290,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rhea, D.T.","contributorId":90930,"corporation":false,"usgs":true,"family":"Rhea","given":"D.T.","email":"","affiliations":[],"preferred":false,"id":638624,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Senecal, A. C.","contributorId":171783,"corporation":false,"usgs":false,"family":"Senecal","given":"A. C.","affiliations":[],"preferred":false,"id":638625,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70197090,"text":"70197090 - 2015 - Ecosystem services science, practice, and policy: Perspectives from ACES, A Community on Ecosystem Services","interactions":[],"lastModifiedDate":"2018-05-18T13:45:05","indexId":"70197090","displayToPublicDate":"2015-06-15T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1453,"text":"Ecological Economics","active":true,"publicationSubtype":{"id":10}},"title":"Ecosystem services science, practice, and policy: Perspectives from ACES, A Community on Ecosystem Services","docAbstract":"Ecosystem services are at a crossroad. The natural capital needed to produce them is diminishing (Millennium Ecosystem Assessment, 2005). At the same time, the science relating to their identification, production, and valuation is advancing. Examples of ecosystem services applications are abundant in the literature. In addition, the concept of ecosystem services and its applications are attracting attention and are becoming more visible. The concept of ecosystem services, however, is still not routinely applied to many natural resource management decisions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolecon.2015.04.001","usgsCitation":"Shapiro, C.D., Arthaud, G., Casey, F., and Hogan, D.M., 2015, Ecosystem services science, practice, and policy: Perspectives from ACES, A Community on Ecosystem Services: Ecological Economics, v. 115, p. 1-2, https://doi.org/10.1016/j.ecolecon.2015.04.001.","productDescription":"2 p.","startPage":"1","endPage":"2","ipdsId":"IP-064733","costCenters":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"links":[{"id":354222,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"115","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afeeb6de4b0da30c1bfc671","contributors":{"authors":[{"text":"Shapiro, Carl D. 0000-0002-1598-6808 cshapiro@usgs.gov","orcid":"https://orcid.org/0000-0002-1598-6808","contributorId":3048,"corporation":false,"usgs":true,"family":"Shapiro","given":"Carl","email":"cshapiro@usgs.gov","middleInitial":"D.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":735531,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arthaud, Greg","contributorId":48269,"corporation":false,"usgs":true,"family":"Arthaud","given":"Greg","email":"","affiliations":[],"preferred":false,"id":735532,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Casey, Frank ccasey@usgs.gov","contributorId":4188,"corporation":false,"usgs":true,"family":"Casey","given":"Frank","email":"ccasey@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":735533,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hogan, Dianna M. 0000-0003-1492-4514 dhogan@usgs.gov","orcid":"https://orcid.org/0000-0003-1492-4514","contributorId":2299,"corporation":false,"usgs":true,"family":"Hogan","given":"Dianna","email":"dhogan@usgs.gov","middleInitial":"M.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":735534,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70162583,"text":"70162583 - 2015 - Geologic and geomorphic controls on the occurrence of fens in the Oregon Cascades and implications for vulnerability and conservation","interactions":[],"lastModifiedDate":"2019-04-25T09:09:53","indexId":"70162583","displayToPublicDate":"2015-06-13T13:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Geologic and geomorphic controls on the occurrence of fens in the Oregon Cascades and implications for vulnerability and conservation","docAbstract":"Montane fens are biologically diverse peat-forming wetlands that develop at points of groundwater discharge. To protect these ecosystems, it is critical to understand their locations on the landscape and the hydrogeologic systems that support them. The upper Deschutes Basin has a groundwater flow system that supports baseflow in many rivers, but little is known about the wetland types and groundwater dependence of the thousands of wetlands within the watershed. In 292 randomly selected wetlands, we quantified landscape metrics thought useful for discriminating montane fens from non-peat-forming wetlands. We inspected these wetlands and classified 67 of them as fens. Of the landscape metrics, only geology reliably differentiated fens from other types of wetlands. Nearly all fens develop in low-permeability glacial till found at approximately 1400–1800 m in elevation, and are concentrated in areas mantled by pumice deposits that originated primarily from the eruption of Mt. Mazama approximately 7700 years BP. Stratigraphic and hydrologic factors indicate the fens are supplied by perched aquifers in glacial till, instead of the deeper regional aquifer system. Their hydrogeologic setting makes the fens highly vulnerable to expected changes to recharge associated with climate change, but not to groundwater pumping from the regional aquifer.
","language":"English","publisher":"Society of Wetland Scientists","publisherLocation":"McClean, VA","doi":"10.1007/s13157-015-0667-x","usgsCitation":"Aldous, A., Gannett, M.W., Keith, M., and O'Connor, J., 2015, Geologic and geomorphic controls on the occurrence of fens in the Oregon Cascades and implications for vulnerability and conservation: Wetlands, v. 35, no. 4, p. 757-767, https://doi.org/10.1007/s13157-015-0667-x.","productDescription":"11 p.","startPage":"757","endPage":"767","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057994","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":314922,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Cascade Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.42663574218749,\n 44.33956524809713\n ],\n [\n -120.42663574218749,\n 44.64911632343077\n ],\n [\n -120.87158203125,\n 45.089035564831015\n ],\n [\n -121.4208984375,\n 45.02695045318546\n ],\n [\n -121.7340087890625,\n 44.92591837128869\n ],\n [\n -121.761474609375,\n 44.31205742666618\n ],\n [\n -121.81640624999999,\n 43.92559366355069\n ],\n [\n -121.89331054687499,\n 43.492782808225\n ],\n [\n -121.34948730468749,\n 43.30119623257966\n ],\n [\n -120.7452392578125,\n 43.50075243569041\n ],\n [\n -120.5419921875,\n 43.96119063892024\n ],\n [\n -120.42663574218749,\n 44.33956524809713\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"35","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-13","publicationStatus":"PW","scienceBaseUri":"56a9f844e4b012c193aa3eca","contributors":{"authors":[{"text":"Aldous, A.","contributorId":105517,"corporation":false,"usgs":true,"family":"Aldous","given":"A.","email":"","affiliations":[],"preferred":false,"id":589937,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gannett, Marshall W. 0000-0003-2498-2427 mgannett@usgs.gov","orcid":"https://orcid.org/0000-0003-2498-2427","contributorId":2942,"corporation":false,"usgs":true,"family":"Gannett","given":"Marshall","email":"mgannett@usgs.gov","middleInitial":"W.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":589882,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keith, Mackenzie K. mkeith@usgs.gov","contributorId":4140,"corporation":false,"usgs":true,"family":"Keith","given":"Mackenzie K.","email":"mkeith@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":589938,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O'Connor, James E. oconnor@usgs.gov","contributorId":138998,"corporation":false,"usgs":true,"family":"O'Connor","given":"James E.","email":"oconnor@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":589939,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70148140,"text":"ofr20151077 - 2015 - Concentrations of metals and trace elements in aquatic biota associated with abandoned mine lands in the Whiskeytown National Recreation Area and nearby Clear Creek watershed, Shasta County, northwestern California, 2002-2003","interactions":[],"lastModifiedDate":"2015-06-12T13:42:06","indexId":"ofr20151077","displayToPublicDate":"2015-06-12T14:30:00","publicationYear":"2015","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":"2015-1077","title":"Concentrations of metals and trace elements in aquatic biota associated with abandoned mine lands in the Whiskeytown National Recreation Area and nearby Clear Creek watershed, Shasta County, northwestern California, 2002-2003","docAbstract":"Park management of the Whiskeytown National Recreation Area, in northwestern California, identified a critical need to determine if mercury (Hg) or other elements originating from abandoned mines within the Upper Clear Creek watershed were present at concentrations that might adversely affect aquatic biota living within the park. During 2002–03, the U.S. Geological Survey, in cooperation with the National Park Service, collected aquatic invertebrates, amphibians, and fish, and analyzed them for Hg, cadmium, zinc, copper, and other metals and trace elements. The data from the biota, in conjunction with data from concurrent community bioassessments, habitat analyses, water quality, and concentrations of metals and trace elements in water and sediment, were used to identify contamination “hot spots.”
\nIn 2002, we selected collection sites within the study area based on the presence of historical mines and results from sampling of bed sediment in 2001. In 2003, collection sites were selected based on sediment data as well as data on water and biota from this study in 2002. Eleven sites were sampled in both 2002 and 2003, 11 sites were sampled only in 2002, and 14 sites were sampled only in 2003.
\nComparisons of sites within the Upper Clear Creek watershed indicated that most of the more contaminated sites were outside of the park boundaries, especially at sites within the French Gulch, Cline Gulch, and Whiskey Creek watersheds. The site with the highest overall contamination within the park, based on both fish and invertebrate data, was WLCC, a site on Willow Creek impacted by acid mine drainage and listed as impaired under Section 303(d) of the Clean Water Act.
\nCompared with other recently evaluated mine-impacted watersheds in northern California, invertebrates, amphibians, and fish from sites within the Upper Clear Creek watershed tended to have significantly lower concentrations of Hg than at most other sites. For other metals and trace elements, Upper Clear Creek sites were only compared with the Deer Creek watershed, Nevada County, California. Copper from both Willow Creek sites (WLCC and WLTH) in the Clear Creek watershed was the only metal with concentrations in biota that were significantly higher than biota from Deer Creek
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151077","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Hothem, R.L., May, J.T., Gibson, J.K., and Brussee, B.E., 2015, Concentrations of metals and trace elements in aquatic biota associated with abandoned mine lands in the Whiskeytown National Recreation Area and nearby Clear Creek watershed, Shasta County, northwestern California, 2002-2003: U.S. Geological Survey Open-File Report 2015-1077, Report: x, 64 p.; 6 Appendices, https://doi.org/10.3133/ofr20151077.","productDescription":"Report: x, 64 p.; 6 Appendices","numberOfPages":"78","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2002-01-01","temporalEnd":"2003-12-31","ipdsId":"IP-062279","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":301207,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151077.jpg"},{"id":301206,"rank":8,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2015/1077/download/ofr2015-1077_appendix6.xlsx","text":"Appendix 6. Metals and trace elements in individual and composite samples of riffle sculpin, rainbow trout, and California roach","size":"87 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix 6. Metals and trace elements in individual and composite samples of riffle sculpin, rainbow trout, and California roach"},{"id":301205,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2015/1077/download/ofr2015-1077_appendix5.xlsx","text":"Appendix 5. Metals and trace elements in individual bullfrogs, Pacific chorus frogs, and foothill yellow-legged frogs","size":"50 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix 5. Metals and trace elements in individual bullfrogs, Pacific chorus frogs, and foothill yellow-legged frogs"},{"id":301199,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1077/"},{"id":301200,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1077/pdf/ofr20151077.pdf","text":"Report","size":"6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":301201,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2015/1077/download/ofr2015-1077_appendix1.xlsx","text":"Appendix 1. Metals and trace elements in invertebrate composites","size":"45 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix 1. Metals and trace elements in invertebrate composites"},{"id":301202,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2015/1077/download/ofr2015-1077_appendix3.xlsx","text":"Appendix 3. Metals and trace elements in filtered and raw water samples","size":"52 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix 3. Metals and trace elements in filtered and raw water samples"},{"id":301203,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2015/1077/download/ofr2015-1077_appendix2.xlsx","text":"Appendix 2. Water-quality parameters","size":"79 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix 2. Water-quality parameters"},{"id":301204,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2015/1077/download/ofr2015-1077_appendix4.xlsx","text":"Appendix 4. Metals and trace elements in sediment samples","size":"115 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix 4. Metals and trace elements in sediment samples"}],"country":"United States","state":"California","county":"Shasta County","otherGeospatial":"Whiskeytown National Recreation Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.92053222656249,\n 40.45948689837198\n ],\n [\n -122.92053222656249,\n 41.072104440201606\n ],\n [\n -122.01141357421875,\n 41.072104440201606\n ],\n [\n -122.01141357421875,\n 40.45948689837198\n ],\n [\n -122.92053222656249,\n 40.45948689837198\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"557bf4a5e4b023124e8edde5","contributors":{"authors":[{"text":"Hothem, Roger L. roger_hothem@usgs.gov","contributorId":1721,"corporation":false,"usgs":true,"family":"Hothem","given":"Roger","email":"roger_hothem@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":547469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"May, Jason T. 0000-0002-5699-2112 jasonmay@usgs.gov","orcid":"https://orcid.org/0000-0002-5699-2112","contributorId":617,"corporation":false,"usgs":true,"family":"May","given":"Jason","email":"jasonmay@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":547470,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gibson, Jennifer K.","contributorId":140892,"corporation":false,"usgs":false,"family":"Gibson","given":"Jennifer","email":"","middleInitial":"K.","affiliations":[{"id":7237,"text":"NPS, Olympic National Park","active":true,"usgs":false}],"preferred":false,"id":547471,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brussee, Brianne E. 0000-0002-2452-7101 bbrussee@usgs.gov","orcid":"https://orcid.org/0000-0002-2452-7101","contributorId":4249,"corporation":false,"usgs":true,"family":"Brussee","given":"Brianne","email":"bbrussee@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":547472,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70148425,"text":"ds938 - 2015 - Seismic data collection from water gun and industrial background sources in the Chicago Sanitary and Ship Canal area, Illinois, 2011","interactions":[],"lastModifiedDate":"2015-06-12T08:55:55","indexId":"ds938","displayToPublicDate":"2015-06-12T09:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"938","title":"Seismic data collection from water gun and industrial background sources in the Chicago Sanitary and Ship Canal area, Illinois, 2011","docAbstract":"The water gun is a tool adapted from deep marine geophysical surveys that is being evaluated for use as an acoustic fish deterrent to control the movement of invasive marine species. The water gun creates a seismic signal by using a compressed air discharge to move a piston rapidly within the water, resulting in an implosion. This energy pulse may be able to modify fish behavior or destroy marine life, such as the Asian carp, at some distance. The effects of this energy pulse on structures in the Chicago Sanitary and Ship Canal (CSSC), such as canal walls, shore lines, and lock structures, are not known. The potential effects of the use of a water gun on structures was identified as a concern in the CSSC and was assessed relative to existing background sources during this study. During September 2011, two water guns with piston sizes of 80 and 343 cubic inches, respectively, were tested in the CSSC at varying pressures and distances from a canal wall consisting of dolomite and dolomite setblock. Seismic data were collected during these water gun firings using geophones on land, in boreholes, and at the canal wall interface. Data were collected at varying depths in the canal water using hydrophones. Seismic data were also collected during the occurrences of barge traffic, railroad traffic located near the electric fish barrier in Lemont, and coal-loading operations at a coal power plant near the electric fish barrier. In general, energy produced by barge and railroad sources was less than energy created by the water gun. Energy levels produced by coal-loading operations at least 200 feet from geophones were approximately four times lower than energy levels measured during water gun operations.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds938","usgsCitation":"Morrow, W.S., Carpenter, P.J., and Adams, R.F., 2015, Seismic data collection from water gun and industrial background sources in the Chicago Sanitary and Ship Canal area, Illinois, 2011: U.S. Geological Survey Data Series 938, Report: iv, 23 p.; Downloads Directory, https://doi.org/10.3133/ds938.","productDescription":"Report: iv, 23 p.; Downloads Directory","numberOfPages":"31","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-036766","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":301178,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds938.jpg"},{"id":301175,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0938/"},{"id":301176,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0938/pdf/ds938.pdf","text":"Report","size":"1.33 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":301177,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0938/downloads","text":"Downloads Directory","linkHelpText":"Contains water gun and industrial background data files that were collected in September, October, and November 2011. Seismic data can be accessed through standard geophysical software capable of reading SEG-2 files. Software capable of reading SEG-2 format is also freely available and documented in U.S. Geological Survey (USGS) Open-File Report 03-141 (Ellefsen, 2003), available at http://pubs.usgs.gov/of/2003/ofr-03-141. Other open-source software, such as Geopsy (available at http://www.geopsy.org), are available to read SEG-2 formatted data."}],"country":"United States","state":"Illinois","city":"Chicago","otherGeospatial":"Chicago Sanitary and Ship Canal","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.07464599609375,\n 41.63545984052713\n ],\n [\n -88.07464599609375,\n 41.70521588311188\n ],\n [\n -87.97027587890624,\n 41.70521588311188\n ],\n [\n -87.97027587890624,\n 41.63545984052713\n ],\n [\n -88.07464599609375,\n 41.63545984052713\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"557bf4ace4b023124e8eddef","contributors":{"authors":[{"text":"Morrow, William S. 0000-0002-2250-3165 wsmorrow@usgs.gov","orcid":"https://orcid.org/0000-0002-2250-3165","contributorId":1886,"corporation":false,"usgs":true,"family":"Morrow","given":"William","email":"wsmorrow@usgs.gov","middleInitial":"S.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548195,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carpenter, Phillip J.","contributorId":141062,"corporation":false,"usgs":false,"family":"Carpenter","given":"Phillip","email":"","middleInitial":"J.","affiliations":[{"id":13666,"text":"Northern Illinois University","active":true,"usgs":false}],"preferred":false,"id":548196,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, Ryan F. 0000-0001-7299-329X rfadams@usgs.gov","orcid":"https://orcid.org/0000-0001-7299-329X","contributorId":5499,"corporation":false,"usgs":true,"family":"Adams","given":"Ryan","email":"rfadams@usgs.gov","middleInitial":"F.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":548197,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70144268,"text":"sir20155025 - 2015 - Physical characteristics and fish assemblage composition at site and mesohabitat scales over a range of streamflows in the Middle Rio Grande, New Mexico, winter 2011-12, summer 2012","interactions":[],"lastModifiedDate":"2016-08-05T12:01:51","indexId":"sir20155025","displayToPublicDate":"2015-06-12T09:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5025","title":"Physical characteristics and fish assemblage composition at site and mesohabitat scales over a range of streamflows in the Middle Rio Grande, New Mexico, winter 2011-12, summer 2012","docAbstract":"In winter 2011–12 and summer 2012, the U.S. Geological Survey (USGS), in cooperation with the U.S. Army Corps of Engineers, Albuquerque District and the U.S. Fish and Wildlife Service New Mexico Fish and Wildlife Conservation Office in Albuquerque, New Mexico, evaluated the physical characteristics and fish assemblage composition of available mesohabitats over a range of streamflows at 15 sites on the Middle Rio Grande in New Mexico. The fish assemblage of the Middle Rio Grande includes several minnow species adapted to hydrologically variable but seasonably predictable rivers, including theHybognathus amarus (Rio Grande silvery minnow), a federally listed endangered species. Gaining a better understanding of habitat usage by the Rio Grande silvery minnow was the impetus for studying physical characteristics and fish assemblages in the Middle Rio Grande during different streamflow conditions. Data were collected at all 15 sites during winter 2011–12 (moderate streamflow), and a subset was collected at the 13 most downstream sites in summer 2012 (low streamflow). Sites were grouped into four river reaches separated by diversion dams listed in downstream order (names of the diversion dams are followed by short names of the sites nearest each dam in parentheses, listed in downstream order): (1) Cochiti (Peña Blanca), (2) Angostura (Bernalillo, La Orilla, Barelas, Los Padillas), (3) Isleta (Los Lunas I, Los Lunas II, Abeytas, La Joya, Rio Salado), and (4) San Acacia (Lemitar, Arroyo del Tajo, San Pedro, Bosque del Apache I, and Bosque del Apache II). Stream habitat was mapped in the field by using a geographic information system in conjunction with a Global Positioning System. Fish assemblage composition was determined during both streamflow regimes, and fish were collected by seining in each mesohabitat where physical characteristic data (depth, velocity, dominant substrate type and size, and percent embeddedness) and water-quality properties (temperature, dissolved oxygen, specific conductance, and pH; during summer 2012 only) were measured.
\nNineteen species of fish were collected among the 15 sites and four reaches over both sampling periods; 10 of these 19 species are introduced. Fish-species richness (total number of fish species collected at each site during each sampling event) among sites that were sampled during both sampling periods ranged from 6 at Rio Salado to 12 at La Orilla. Fish were most abundant at the Lemitar site (1,786 individuals) and least abundant at the San Pedro site (275 individuals). The native Cyprinella lutrensis (red shiner) was the most abundant species collected among all of the sites, accounting for about 42 percent of fish collected. Fish-species richness and catch per unit effort (CPUE) were higher (or equivalent) at all sites during summer 2012 compared to winter 2011–12.
\nThe relations between fish assemblage composition (that is, total abundance, which refers to the number of individuals of each species that were collected) and selected environmental variables (physical characteristic data collected at the mesohabitat scale [depth, velocity, and substrate particle size], and mesohabitat types) were explored by using canonical correspondence analysis. Environmental variables explained 8 percent (p=0.48) of the variability in the Middle Rio Grande fish assemblage during winter 2011–12, and Rio Grande silvery minnow were weakly associated with sand substrates, relatively moderate velocities (qualitative descriptors are derived from synthetic gradients extracted from CCAs), and relatively shallow depths. Environmental variables explained 14 percent (p < 0.01) of the variability in the Middle Rio Grande fish assemblage during summer 2012, when Rio Grande silvery minnow were associated with run mesohabitats, relatively high velocities, sand substrates, and relatively moderate depths.
\nThe mean fish-species richness was greater in summer 2012 than in winter 2011–12 for each mesohabitat type, and the overall fish-species richness across all mesohabitat types was 0.62 during winter 2011–12, compared to 1.49 during summer 2012. The highest mean CPUE during winter 2011–12 was in isolated pools (54.3 fish per 100 square meters [m2]), whereas the lowest was in flats (18.9 fish per 100 m2). Ranges in CPUE were higher in summer 2012 relative to winter 2011–12 in each mesohabitat type sampled. As in winter 2011–12, the highest mean CPUE during summer 2012 was in isolated pools (233 fish per 100 m2), whereas the lowest was in flats (29.6 fish per 100 m2). Overall mean CPUE per mesohabitat across all mesohabitat types was 29.1 fish per 100 m2 during winter 2011–12 compared to 85.3 fish per 100 m2 during summer 2012.
\nFour species of minnows (red shiner, Rio Grande silvery minnow, Pimephales promelas [fathead minnow], and Platygobio gracilis[flathead chub]) were selected to compare preferred mesohabitat characteristics because all are small-bodied minnows and because more than 200 individuals of each of these species were collected. Red shiner were collected across the largest range of depths in both winter 2011–12 (0.02–4.31 feet [ft]) and summer 2012 (0.05–3.4 ft), as well as the largest range of velocities (0.0–4.31 feet per second [ft/s]) during winter 2011–12 among the four minnow species of interest. Rio Grande silvery minnow occurred in the narrowest range of depths (0.30–2.1 ft) during summer 2012, as well as the narrowest range of velocities in both winter 2011–12 (0.0–3.18 ft/s) and summer 2012 (0.02–1.51 ft/s).
\nWater-quality properties were only collected during summer 2012, when low-streamflow conditions existed and water-quality properties were thought to be potentially most limiting to aquatic life. Area-weighted mean water temperatures tended to be higher at the sites that were sampled in August 2012 (25.57 degrees Celsius [°C]) compared to June 2012 (24.61 °C). The highest area-weighted mean water temperature at a given site (29.03 °C) was measured at the Lemitar site on August 7, 2012, coincident with the lowest measured discharge (4.13 cubic feet per second [ft3/s]). Area-weighted mean dissolved oxygen concentrations tended to be lower in August (7.46 milligrams per liter [mg/L]) compared to June (8.33 mg/L). The highest area-weighted mean dissolved oxygen concentration (9.13 mg/L) was measured at the Lemitar site on August 7, 2012, and the lowest area-weighted mean dissolved oxygen concentration (6.23 mg/L) was measured at the Los Padillas site on August 10, 2012. Area-weighted specific conductance in the sites upstream from La Joya did not exceed 400 microsiemens per centimeter (μS/cm) at 25 °C, whereas the area-weighted mean specific conductance at La Joya (837 μs/cm at 25 °C), Rio Salado (857 μs/cm at 25 °C), and Lemitar (1,300 μs/cm at 25 °C) were all well above the average of the area-weighted means for the 10 remaining sites (433 μs/cm at 25 °C). Lower area-weighted mean pH values were measured at the 3 sites in and near Albuquerque (La Orilla, Barelas, and Los Padillas—7.98, 8.08, and 7.81, respectively) compared to any of the 10 remaining sites, which had an overall mean pH of 8.44.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155025","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, Albuquerque District, and the U.S. Fish and Wildlife Service","usgsCitation":"Braun, C.L., Pearson, D., Porter, M., and Moring, J.B., 2015, Physical characteristics and fish assemblage composition at site and mesohabitat scales over a range of streamflows in the Middle Rio Grande, New Mexico, winter 2011-12, summer 2012: U.S. Geological Survey Scientific Investigations Report 2015-5025, Report: viii, 90 p.; Downloads Directory, https://doi.org/10.3133/sir20155025.","productDescription":"Report: viii, 90 p.; Downloads Directory","startPage":"90","numberOfPages":"102","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2011-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-056792","costCenters":[{"id":583,"text":"Texas Water Science 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,{"id":70148457,"text":"sir20155065 - 2015 - Dam failure analysis for the Lago de Matrullas Dam, Orocovis, Puerto Rico","interactions":[],"lastModifiedDate":"2015-06-12T08:41:07","indexId":"sir20155065","displayToPublicDate":"2015-06-12T08:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5065","title":"Dam failure analysis for the Lago de Matrullas Dam, Orocovis, Puerto Rico","docAbstract":"The U.S. Geological Survey, in cooperation with the Puerto Rico Electric Power Authority, completed a hydrologic and hydraulic study to assess the potential hazard to human life and property associated with the hypothetical failure of the Lago de Matrullas Dam, located within the headwaters of the Río Grande de Manatí. The hydrologic study yielded outflow hydrographs and peak discharges for Lago de Matrullas and other subbasins in the Río Grande de Manatí hydrographic basin for three extreme rainfall events: (1) a 6-hour probable maximum precipitation (PMP) event, (2) a 24-hour PMP event, and (3) a 100-year-recurrence, 24-hour rainfall event. The hydraulic study simulated the hypothetical dam failure of Lago de Matrullas using hypothetical flood hydrographs generated from the hydrologic study and selected dam breach parameters. The flood wave resulting from the failure was downstream-routed through the lower reaches of the Río Matrullas, the Río Toro Negro, and the Río Grande de Manatí for determination of water-surface profiles developed from the event-based hydrologic scenarios and “sunny day” (no precipitation) conditions. The Hydrologic Modeling System (HEC–HMS) and the River Analysis System (HEC–RAS) computer programs, developed by the Hydrologic Engineering Center (HEC) of the U.S. Army Corps of Engineers, were used for the hydrologic and hydraulic modeling, respectively. The flow routing in the hydraulic analyses was performed using the unsteady-state flow module available in the HEC–RAS model.
\nAt the Lago de Matrullas Dam, inflow peak discharges of about 1,104 and 1,032 cubic meters per second (m3/s) were estimated with HEC–HMS for the 6- and 24-hour PMP events, respectively. The 100-year recurrence, 24-hour rainfall event simulation resulted in a peak discharge of about 418 m3/s. For the hydrologic analysis, no dam failure conditions were considered with the model. The results of the hydrologic simulations indicated, however, that the dam would be overtopped by the simulated 6- and 24-hour PMP events. Unlike the 6- and 24-hour PMP events, no overtopping was observed during the simulated 100-year recurrence, 24-hour rainfall event.
\nFor the dam-breach hydraulic analysis, the hypothetical failures of the Lago de Matrullas Dam included two possible failure modes: overtopping and piping. Overtopping failure was evaluated in this study for the 6- and 24- hour probable-maximum-precipitation breach scenarios. Piping dam failure was simulated for sunny day conditions and for the 100-year-recurrence, 24-hour rainfall scenario.
\nResults from the simulated dam failure of the Lago de Matrullas Dam using the HEC–RAS model for the 6- and 24-hour PMP events showed peak discharges at the dam of 3,149.33 and 3,604.70 m3/s, respectively. Dam failure during the 100-year-recurrence, 24-hour rainfall event resulted in a peak discharge of 2,103.12 m3/s directly downstream from the dam. Dam failure under sunny day conditions produced a peak discharge of 1,695.91 m3/s at the dam assuming the antecedent lake level was at the morning-glory spillway invert elevation. Flood-inundation maps prepared as part of the study depict the flood extent and provide valuable information for preparing an Emergency Action Plan. Results of the failure analysis indicate that a failure of the Lago de Matrullas Dam could cause flooding to many of the inhabited areas along stream banks from the Lago de Matrullas Dam to the mouth of the Río Grande de Manatí. Among the areas most affected are the low-lying regions in the vicinity of the towns of Ciales, Manatí, and Barceloneta. The delineation of the flood boundaries near the town of Barceloneta considered the effects of a levee constructed during 2000 at Barceloneta in the flood plain of the Río Grande de Manatí to provide protection against flooding to the near-by low-lying populated areas. The results showed overtopping can be expected in the aforementioned levee during 6- and 24-hour probable-maximum-precipitation dam failure scenarios. No overtopping of the levee was simulated, however, during dam failure scenarios under the 100-year recurrence, 24-hour rainfall event or sunny day conditions.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155065","collaboration":"Prepared in cooperation with the Puerto Rico Electric Power Authority","usgsCitation":"Torres-Sierra, H., and Gómez-Fragoso, J., 2015, Dam failure analysis for the Lago de Matrullas Dam, Orocovis, Puerto Rico: U.S. Geological Survey Scientific Investigations Report 2015-5065, Report: viii, 54 p.; 4 Plates: 30.0 x 35.0 inches, https://doi.org/10.3133/sir20155065.","productDescription":"Report: viii, 54 p.; 4 Plates: 30.0 x 35.0 inches","numberOfPages":"66","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-023008","costCenters":[{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true}],"links":[{"id":301173,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155065.jpg"},{"id":301171,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2015/5065/plates/sir2015-5065_plate3.pdf","text":"Plate 3","size":"62 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Plate 3","linkHelpText":"100-Year, 24-Hour Precipitation Event."},{"id":301172,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2015/5065/plates/sir2015-5065_plate4.pdf","text":"Plate 4","size":"62 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Plate 4","linkHelpText":"Sunny Day Conditions."},{"id":301151,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5065/"},{"id":301168,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5065/pdf/sir2015-5065.pdf","text":"Report","size":"4.46 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Heriberto","contributorId":97913,"corporation":false,"usgs":true,"family":"Torres-Sierra","given":"Heriberto","email":"","affiliations":[],"preferred":false,"id":548578,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gómez-Fragoso, Julieta jgomez-fragoso@usgs.gov","contributorId":141083,"corporation":false,"usgs":true,"family":"Gómez-Fragoso","given":"Julieta","email":"jgomez-fragoso@usgs.gov","affiliations":[{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true}],"preferred":false,"id":548579,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70146914,"text":"sim3328 - 2015 - Geologic map of the Vashon 7.5' quadrangle and selected areas, King County, Washington","interactions":[],"lastModifiedDate":"2022-04-18T20:14:38.961466","indexId":"sim3328","displayToPublicDate":"2015-06-12T08:00:00","publicationYear":"2015","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":"3328","title":"Geologic map of the Vashon 7.5' quadrangle and selected areas, King County, Washington","docAbstract":"This map is an interpretation of a 6-ft-resolution lidar-derived digital elevation model combined with geology by Derek B. Booth and Kathy Goetz Troost. Field work by Booth and Troost was located on the 1:24,000-scale topographic map of the Vashon and Des Moines 7.5' quadrangles that were published in 1997 and 1995, respectively. Much of the geology was interpreted from landforms portrayed on the topographic maps, supplemented by field exposures, where available. In 2001, the Puget Sound Lidar Consortium (see http://pugetsoundlidar.org/) obtained a lidar-derived digital elevation model (DEM) for Vashon Island and the Des Moines quadrangle. For a brief description of lidar and this data acquisition program, see Haugerud and others (2003). This new DEM has a horizontal resolution of 6 ft (1.83 m) and mean vertical accuracy of about 1 ft (about 0.3 m). The greater resolution and accuracy of the lidar DEM facilitated a much-improved interpretation of many aspects of the surficial geology, especially the distribution and relative age of landforms and the materials inferred to comprise them. Booth and Troost were joined by Tabor to interpret the new lidar DEM but have done no futher field work for this map.
\nThis map, the Vashon quadrangle and selected adjacent areas, encompasses most of Vashon Island, Maury Island, and Three Tree Point in the south-central Puget Sound. One small area in the Vashon quadrangle on the east side of Puget Sound is excluded from this map but included on the adjacent Seattle quadrangle (Booth and others, 2005). The map displays a wide variety of surficial geologic deposits, which reflect many geologic environments and processes. Multiple ice-sheet glaciations and intervening nonglacial intervals have constructed a complexly layered sequence of deposits that underlie both islands to a depth of more than 300 m below sea level. These deposits not only record glacial and nonglacial history but also control the flow and availability of ground water, determine the susceptibility of the slopes to landslides, and provide economic reserves of sand and gravel. The islands are surrounded by channels of Puget Sound, some as deep as the islands are high (>600 ft (~200 m)). The shorelines provide many kilometers of well-exposed coastal outcrops that reveal abundant lithologic and stratigraphic details not ordinarily displayed in the heavily vegetated Puget Lowland.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3328","collaboration":"Prepared in cooperation with King County, Washington","usgsCitation":"Booth, D.B., Troost, K.G., and Tabor, R.W., 2015, Geologic map of the Vashon 7.5' quadrangle and selected areas, King County, Washington: U.S. Geological Survey Scientific Investigations Map 3328, Pamphlet: ii, 11 p.; 1 Plate: 29.01 x 36.67 inches; Database; Readme; Metadata, https://doi.org/10.3133/sim3328.","productDescription":"Pamphlet: ii, 11 p.; 1 Plate: 29.01 x 36.67 inches; Database; Readme; Metadata","numberOfPages":"13","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-049122","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":301167,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3328.gif"},{"id":301150,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3328/"},{"id":301165,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3328/downloads/vashgeol-genmd.txt","linkFileType":{"id":2,"text":"txt"}},{"id":301164,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3328/sim_3328_readme.txt","linkFileType":{"id":2,"text":"txt"}},{"id":301161,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3328/downloads/sim_3328_map.pdf","text":"Map","linkFileType":{"id":1,"text":"pdf"},"description":"Map"},{"id":301163,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/sim/3328/downloads/sim3328_database.zip","text":"Database","linkFileType":{"id":6,"text":"zip"},"description":"Database","linkHelpText":"Contains: geospatial database. Refer to the Readme and Metadata files for more information."},{"id":301162,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3328/downloads/sim_3328_pamphlet.pdf","text":"Pamphlet","linkFileType":{"id":1,"text":"pdf"},"description":"Pamphlet"},{"id":398999,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_103699.htm"}],"scale":"24000","projection":"Lambert Conformal Conic projection","datum":"North American Datum of 1983","country":"United States","state":"Washington","county":"King County","otherGeospatial":"Maury Island, Puget Sound, Three Tree Point, Vashon Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.5,\n 47.375\n ],\n [\n -122.5,\n 47.5125\n ],\n [\n -122.3708,\n 47.5125\n ],\n [\n -122.3708,\n 47.375\n ],\n [\n -122.5,\n 47.375\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"557bf4aae4b023124e8eddeb","contributors":{"authors":[{"text":"Booth, Derek B.","contributorId":100873,"corporation":false,"usgs":false,"family":"Booth","given":"Derek","email":"","middleInitial":"B.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":548564,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Troost, Kathy Goetz","contributorId":127391,"corporation":false,"usgs":false,"family":"Troost","given":"Kathy","email":"","middleInitial":"Goetz","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":548565,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tabor, Rowland W. rtabor@usgs.gov","contributorId":3816,"corporation":false,"usgs":true,"family":"Tabor","given":"Rowland","email":"rtabor@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":548563,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70159691,"text":"70159691 - 2015 - Quantifying water flow and retention in an unsaturated fracture-facial domain","interactions":[],"lastModifiedDate":"2016-06-28T16:04:04","indexId":"70159691","displayToPublicDate":"2015-06-12T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Quantifying water flow and retention in an unsaturated fracture-facial domain","docAbstract":"Hydrologically significant flow and storage of water occur in macropores and fractures that are only partially filled. To accommodate such processes in flow models, we propose a three-domain framework. Two of the domains correspond to water flow and water storage in a fracture-facial region, in addition to the third domain of matrix water. The fracture-facial region, typically within a fraction of a millimeter of the fracture wall, includes a flowing phase whose fullness is determined by the availability and flux of preferentially flowing water, and a static storage portion whose fullness is determined by the local matric potential. The flow domain can be modeled with the source-responsive preferential flow model, and the roughness-storage domain can be modeled with capillary relations applied on the fracture-facial area. The matrix domain is treated using traditional unsaturated flow theory. We tested the model with application to the hydrology of the Chalk formation in southern England, coherently linking hydrologic information including recharge estimates, streamflow, water table fluctuation, imaging by electron microscopy, and surface roughness. The quantitative consistency of the three-domain matrix-microcavity-film model with this body of diverse data supports the hypothesized distinctions and active mechanisms of the three domains and establishes the usefulness of this framework.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Fluid dynamics in complex fractured-porous systems","language":"English","publisher":"Wiley","doi":"10.1002/9781118877517.ch12","usgsCitation":"Nimmo, J.R., and Malek-Mohammadi, S., 2015, Quantifying water flow and retention in an unsaturated fracture-facial domain, chap. of Fluid dynamics in complex fractured-porous systems, p. 169-182, https://doi.org/10.1002/9781118877517.ch12.","productDescription":"14 p.","startPage":"169","endPage":"182","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054366","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":324559,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-12","publicationStatus":"PW","scienceBaseUri":"57739fb5e4b07657d1a90d33","contributors":{"authors":[{"text":"Nimmo, John R. 0000-0001-8191-1727 jrnimmo@usgs.gov","orcid":"https://orcid.org/0000-0001-8191-1727","contributorId":757,"corporation":false,"usgs":true,"family":"Nimmo","given":"John","email":"jrnimmo@usgs.gov","middleInitial":"R.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":580104,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Malek-Mohammadi, Siamak","contributorId":149944,"corporation":false,"usgs":false,"family":"Malek-Mohammadi","given":"Siamak","email":"","affiliations":[{"id":17862,"text":"Bradley University","active":true,"usgs":false}],"preferred":false,"id":580105,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70147324,"text":"sir20155059 - 2015 - Water levels and water quality in the Mississippi River Valley alluvial aquifer in eastern Arkansas, 2012","interactions":[],"lastModifiedDate":"2015-06-11T15:47:35","indexId":"sir20155059","displayToPublicDate":"2015-06-11T15:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5059","title":"Water levels and water quality in the Mississippi River Valley alluvial aquifer in eastern Arkansas, 2012","docAbstract":"During the spring of 2012, the U.S. Geological Survey, in cooperation with the Arkansas Natural Resources Commission and the Arkansas Geological Survey, measured water levels in 342 wells completed in the Mississippi River Valley alluvial aquifer in eastern Arkansas. The Arkansas Natural Resources Commission measured water levels in 11 wells, and the U.S. Department of Agriculture-Natural Resources Conservation Service measured water levels in 239 wells completed in the alluvial aquifer and provided these data to the Arkansas Natural Resources Commission. In 2010, estimated water withdrawals from the alluvial aquifer in Arkansas totaled about 7,592 million gallons per day. Withdrawals more than doubled between 1985 and 2010, about a 115-percent increase.
\nThe regional direction of groundwater flow is generally to the south and east except where flow is affected by groundwater withdrawals. East of Crowleys Ridge, water flows from north to south along Crowleys Ridge and northeast to southwest along the Mississippi River. West of Crowleys Ridge, water flows from northeast to southwest along Crowleys Ridge from Clay County to Craighead County. From Craighead County to Monroe County, a depression redirects groundwater flow from all directions. A depression in Arkansas, Lonoke, and Prairie Counties alters groundwater flow from all directions. South of the Arkansas River, the flow is towards the southeast, except near depressions in Lincoln and Desha Counties and Desha and Chicot Counties where flow is towards the depression. In 2012, the lowest water-level altitude was 73 feet (ft) in Arkansas County. The highest water-level altitude was 288 ft in northeastern Clay County on the western side of Crowleys Ridge.
\nThe 2012 potentiomentric-surface map shows eight depressions, two large depressions and six small depressions. One large depression begins in southeastern Arkansas County, at the Arkansas and Desha County line, extends north into Prairie County, west into Lonoke County, and east into the westernmost part of Monroe County. The area in Lonoke, Prairie, and White Counties in the northwestern half of the depression has a water-level altitude measurement of 90 ft and has expanded into the northern third of Prairie County.
\nThe 2012 potentiometric-surface map shows a general north-south depression with the southern end in central Monroe County through western Lee, St. Francis, Cross, Poinsett, and Craighead Counties and eastern Woodruff and Jackson Counties. There are two deeper areas in this depression, one at the Monroe and Lee County line, with a low water-level altitude measurement of 123 ft, and the second in Poinsett County, with a low water-level altitude measurement of 113 ft. The six small depressions are located in northern Ashley County, in southern Desha and northern Chicot Counties, in eastern Lincoln and western Chicot Counties, at the Arkansas and Desha County line, in northern Phillips County, and in southeastern Greene County.
\nA map showing the difference in water levels was constructed using 541 differences in water levels measured during 2008 and 2012. The difference in measured water levels from 2008 to 2012 ranged from -27.4 ft to 18.7 ft, with a mean of -1.0 ft. The largest decline of -27.4 ft occurred in Lonoke County, and the largest rise of 18.7 ft occurred in Prairie County. Four areas were predominated by declines—west of Crowleys Ridge from Greene County south to Lee County, including Lawrence and southern Woodruff Counties; east of Crowleys Ridge from Clay County south to Poinsett County and Mississippi County; Lonoke and Jefferson Counties; and Ashley, Chicot, Desha, and Drew Counties. Three areas are predominated by rises in measured water levels—east of Crowleys Ridge in Crittenden, Cross, Lee, and St. Francis Counties; Jackson and northern Woodruff Counties; and Arkansas, Monroe, Phillips, Prairie, and White Counties.
\nLong-term water-level changes were evaluated using hydrographs from 319 wells in the alluvial aquifer for the period from 1988 to 2012. The annual rise or decline in water level for the entire study area was -0.45 feet per year (ft/yr) with a range from -2.08 to 0.84 ft/yr. Arkansas County had two different rates of annual decline for the two hydrographs shown, about 0.97 ft/yr and about 0.26 ft/yr.
\nIn Craighead, Cross, Lee, Poinsett, and St. Francis Counties, water levels are declining at a greater rate in areas west of Crowleys Ridge than in areas east of Crowleys Ridge. Two hydrographs are shown in each of Craighead, Cross, Lee, Poinsett, and St. Francis Counties, one on the west side of Crowleys Ridge and one on the east side of Crowleys Ridge. The hydrographs west of Crowleys Ridge have annual water-level declines from -0.91 to -1.24 ft/yr. The hydrographs east of Crowleys Ridge have annual water-level declines from -0.07 to -0.40 ft/yr. The mean county annual water-level declines for these counties range from -0.55 to -0.87 ft/yr.
\nWater samples were collected in the summer of 2012 from142 wells completed in the alluvial aquifer and measured onsite for specific conductance, temperature, and pH. Samples were collected from 94 wells for dissolved chloride analysis. Specific conductance ranged from 91 microsiemens per centimeter at 25 degrees Celsius (μS/cm at 25 °C) in Drew County to 984 μS/cm at 25 °C in Monroe County. The mean specific conductance was 547 μS/cm at 25 °C. Temperature ranged from 18.1 degrees Celsius (°C) in Crittenden County to 22.4 °C in Prairie County. The mean temperature was 22.1 °C. The pH ranged from 8.3 in Randolph County to 6.2 in Drew County and had a median of 7.3. Dissolved chloride concentrations ranged from 3.34 milligrams per liter (mg/L) in Randolph County to 182 mg/L in Lincoln County. The mean chloride concentration was 27.6 mg/L.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155059","collaboration":"Prepared in cooperation with the Arkansas Natural Resources Commission and the Arkansas Geological Survey","usgsCitation":"Schrader, T.P., 2015, Water levels and water quality in the Mississippi River Valley alluvial aquifer in eastern Arkansas, 2012: U.S. Geological Survey Scientific Investigations Report 2015-5059, Report: iv, 63 p.; 2 Plates: 15.0 x 19.0 inches, https://doi.org/10.3133/sir20155059.","productDescription":"Report: iv, 63 p.; 2 Plates: 15.0 x 19.0 inches","numberOfPages":"70","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2008-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-056983","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":301158,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155059.jpg"},{"id":301144,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5059/"},{"id":301154,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5059/pdf/sir2015-5059.pdf","text":"Report","size":"1.41 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":301155,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2015/5059/downloads/sir2015-5059-pl1.pdf","text":"Plate 1","size":"1.86 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Plate 1"},{"id":301156,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2015/5059/downloads/sir2015-5059-pl2.pdf","text":"Plate 2","size":"1.33 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Plate 2"}],"projection":"Universal Transverse Mercator projection, zone 15","datum":"North American Datum of 1927","country":"United States","state":"Arkansas","otherGeospatial":"Mississippi River Valley alluvial aquifer","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.06954956054688,\n 33.00808767987181\n ],\n [\n -92.14302062988281,\n 33.09786930351166\n ],\n [\n -92.12928771972656,\n 33.20824398778792\n ],\n [\n -91.97479248046875,\n 33.30987251398259\n ],\n [\n -91.99058532714844,\n 33.39762556684172\n ],\n [\n -91.73103332519531,\n 33.395332495793745\n ],\n [\n -91.95419311523436,\n 34.09588492955209\n ],\n [\n -92.18490600585938,\n 34.49354133080471\n ],\n [\n -92.25151062011719,\n 34.74330519389396\n ],\n [\n -92.00637817382812,\n 35.068783155653904\n ],\n [\n -91.48521423339844,\n 35.44053326772722\n ],\n [\n -91.62940979003906,\n 35.753756674845675\n ],\n [\n -91.24832153320312,\n 35.888493789015975\n ],\n [\n -91.07734680175781,\n 36.12789245231783\n ],\n [\n -90.78140258789062,\n 36.49804547361385\n ],\n [\n -90.15037536621094,\n 36.49804547361385\n ],\n [\n -90.06179809570312,\n 36.37817351148144\n ],\n [\n -90.06317138671875,\n 36.295204533693536\n ],\n [\n -90.37353515625,\n 35.99578538642032\n ],\n [\n -89.73358154296875,\n 36.005784428799934\n ],\n [\n -89.63607788085938,\n 35.905736972317364\n ],\n [\n -89.91897583007811,\n 35.51881428123057\n ],\n [\n -90.098876953125,\n 35.33977430038646\n ],\n [\n -90.1153564453125,\n 35.110921809704756\n ],\n [\n -90.560302734375,\n 34.58347505599177\n ],\n [\n -90.582275390625,\n 34.420504880133834\n ],\n [\n -90.9283447265625,\n 34.129994745824746\n ],\n [\n -90.9063720703125,\n 34.02990029603907\n ],\n [\n -91.1920166015625,\n 33.4955977448657\n ],\n [\n -91.0821533203125,\n 33.463525475613785\n ],\n [\n -91.0601806640625,\n 33.250172902093894\n ],\n [\n -91.175537109375,\n 33.00405687168934\n ],\n [\n -92.06954956054688,\n 33.00808767987181\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"557aa31ae4b0c350d7b9a969","contributors":{"authors":[{"text":"Schrader, Tony P. tpschrad@usgs.gov","contributorId":3027,"corporation":false,"usgs":true,"family":"Schrader","given":"Tony","email":"tpschrad@usgs.gov","middleInitial":"P.","affiliations":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548520,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048249,"text":"70048249 - 2015 - The modern muds of Laguna Mar Chiquita (Argentina): Particle size and geochemical trends from a large saline lake in the \"thick-skinned\" Andean foreland","interactions":[],"lastModifiedDate":"2020-06-12T14:38:58.06431","indexId":"70048249","displayToPublicDate":"2015-06-11T12:48:20","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1727,"text":"GSA Special Papers","active":true,"publicationSubtype":{"id":10}},"title":"The modern muds of Laguna Mar Chiquita (Argentina): Particle size and geochemical trends from a large saline lake in the \"thick-skinned\" Andean foreland","docAbstract":"Laguna Mar Chiquita (central Argentina; ~latitude 31°S, longitude 63°W) provides an outstanding opportunity to examine organic facies development and petroleum source-rock potential in a modern thick-skinned foreland basin lake. In this case study, we define profundal, paleodelta, and lake-margin depositional environments based on trends in bathymetry and lake-floor sediment particle size. Sedimentary geochemical analyses indicate that organic carbon–rich muds accumulate in profundal environments during the extant lake-level highstand. The lateral variability of organic facies is minimal. The quality of organic facies is controlled by lake level and depositional environment, both of which dictate patterns of algal productivity, siliciclastic dilution, and early diagenesis. We present conceptual models of lacustrine source rocks in both thick-skinned and thin-skinned foreland basins based on modern analog data from both Laguna Mar Chiquita and other lakes in the central Andean foreland. Over relatively short time intervals (102–104 yr), climatically driven water-level fluctuations influence the source-rock potential of these basins. Over time intervals >105 yr, contraction and lateral migration of the basin flexural profile control stratal stacking patterns and the potential for hydrocarbon play development.
","language":"English","publisher":"GSA","doi":"10.1130/2015.2515(01)","usgsCitation":"McGlue, M.M., Ellis, G., and Cohen, A.S., 2015, The modern muds of Laguna Mar Chiquita (Argentina): Particle size and geochemical trends from a large saline lake in the \"thick-skinned\" Andean foreland: GSA Special Papers, v. 515, p. 1-18, https://doi.org/10.1130/2015.2515(01).","productDescription":"18 p.","startPage":"1","endPage":"18","ipdsId":"IP-043051","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":375532,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Argentina","otherGeospatial":"Laguna Mar Chiquita","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -65.19287109375,\n -32.30570601389429\n ],\n [\n -61.28173828124999,\n -32.30570601389429\n ],\n [\n -61.28173828124999,\n -26.843677401113002\n ],\n [\n -65.19287109375,\n -26.843677401113002\n ],\n [\n -65.19287109375,\n -32.30570601389429\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"515","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McGlue, Michael M mmcglue@usgs.gov","contributorId":225231,"corporation":false,"usgs":true,"family":"McGlue","given":"Michael","email":"mmcglue@usgs.gov","middleInitial":"M","affiliations":[],"preferred":true,"id":790791,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellis, Geoffrey S 0000-0003-4519-3320","orcid":"https://orcid.org/0000-0003-4519-3320","contributorId":225232,"corporation":false,"usgs":true,"family":"Ellis","given":"Geoffrey S","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":790792,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cohen, Andrew S.","contributorId":138496,"corporation":false,"usgs":false,"family":"Cohen","given":"Andrew","email":"","middleInitial":"S.","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":790793,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
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