{"pageNumber":"800","pageRowStart":"19975","pageSize":"25","recordCount":40754,"records":[{"id":98581,"text":"sir20105079 - 2010 - Evaluating effects of potential changes in streamflow regime on fish and aquatic-invertebrate assemblages in the New Jersey Pinelands","interactions":[],"lastModifiedDate":"2012-03-08T17:16:32","indexId":"sir20105079","displayToPublicDate":"2010-08-11T00:00:00","publicationYear":"2010","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":"2010-5079","title":"Evaluating effects of potential changes in streamflow regime on fish and aquatic-invertebrate assemblages in the New Jersey Pinelands","docAbstract":"Changes in water demand associated with population growth and changes in land-use practices in the Pinelands region of southern New Jersey will have a direct effect on stream hydrology. The most pronounced and measurable hydrologic effect is likely to be flow reductions associated with increasing water extraction. Because water-supply needs will continue to grow along with population in the Pinelands area, the goal of maintaining a sustainable balance between the availability of water to protect existing aquatic assemblages while conserving the surficial aquifer for long-term support of human water use needs to be addressed.\r\n\r\nAlthough many aquatic fauna have shown resilience and resistance to short-term changes in flows associated with water withdrawals, sustained effects associated with ongoing water-development processes are not well understood. In this study, the U.S. Geological Survey sampled forty-three 100-meter-long stream reaches during high- and low-flow periods across a designed hydrologic gradient ranging from small- (4.1 square kilometers (1.6 square miles)) to medium- (66.3 square kilometers (25.6 square miles)) sized Pinelands stream basins. This design, which uses basin size as a surrogate for water availability, provided an opportunity to evaluate the possible effects of potential variation in stream hydrology on fish and aquatic-invertebrate assemblage response in New Jersey Pinelands streams where future water extraction is expected based on known build-out scenarios. Multiple-regression models derived from extracted non-metric multidimensional scaling axis scores of fish and aquatic invertebrates indicate that some variability in aquatic-assemblage composition across the hydrologic gradient is associated with anthropogenic disturbance, such as urbanization, changes in stream chemistry, and concomitant changes in high-flow runoff patterns. To account for such underlying effects in the study models, any flow parameter or assemblage attribute that was found to be significantly correlated (|rho| = 0.5000) to known anthropogenic drivers (for example, the amount of urbanization in the basin) was eliminated from analysis. A reduced set of low- and annual-flow hydrologic variables, found to be unrelated to anthropogenic influences, was used to develop assemblage-response models. Many linear (monotonic) and curvilinear bivariate flow-ecology response models were developed for fish and invertebrate assemblages. For example, the duration and magnitude of low-flow events were significant predictors of invertebrate-assemblage complexity (for example, invertebrate-species richness, Plecoptera richness, and Ephemeroptera abundance); however, response models between flow attributes and fish-assemblage structure were, in all cases, more poorly fit. Annual flow variability also was important, especially variability across mean minimum monthly flows and annual mean streamflow. In general, all response models followed upward or downward trends that would be expected given hydrologic changes in Pinelands streams. This study demonstrates that the structural and functional response of aquatic assemblages of the Pinelands ecosystem resulting from changes in water-use practices associated with population growth and increased water extraction may be predictable.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105079","collaboration":"Prepared in cooperation with the New Jersey Pinelands Commission","usgsCitation":"Kennen, J., and Riskin, M.L., 2010, Evaluating effects of potential changes in streamflow regime on fish and aquatic-invertebrate assemblages in the New Jersey Pinelands: U.S. Geological Survey Scientific Investigations Report 2010-5079, vi, 34 p. , https://doi.org/10.3133/sir20105079.","productDescription":"vi, 34 p. ","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":200364,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13979,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5079/","linkFileType":{"id":5,"text":"html"}}],"projection":"Universal Transverse Mercator","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.25,39 ], [ -75.25,40 ], [ -74.25,40 ], [ -74.25,39 ], [ -75.25,39 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a09e4b07f02db5fb0ab","contributors":{"authors":[{"text":"Kennen, Jonathan G. 0000-0002-5426-4445 jgkennen@usgs.gov","orcid":"https://orcid.org/0000-0002-5426-4445","contributorId":574,"corporation":false,"usgs":true,"family":"Kennen","given":"Jonathan G.","email":"jgkennen@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305796,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Riskin, Melissa L. 0000-0001-6499-3775 mriskin@usgs.gov","orcid":"https://orcid.org/0000-0001-6499-3775","contributorId":654,"corporation":false,"usgs":true,"family":"Riskin","given":"Melissa","email":"mriskin@usgs.gov","middleInitial":"L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":305797,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98579,"text":"sir20105141 - 2010 - Hydrogeomorphic segments and hydraulic microhabitats of the Niobrara River, Nebraska— With special emphasis on the Niobrara National Scenic River","interactions":[],"lastModifiedDate":"2023-11-28T21:46:56.605042","indexId":"sir20105141","displayToPublicDate":"2010-08-11T00:00:00","publicationYear":"2010","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":"2010-5141","title":"Hydrogeomorphic segments and hydraulic microhabitats of the Niobrara River, Nebraska— With special emphasis on the Niobrara National Scenic River","docAbstract":"<p>The Niobrara River is an ecologically and economically important resource in Nebraska. The Nebraska Department of Natural Resources’ recent designation of the hydraulically connected surface- and groundwater resources of the Niobrara River Basin as “fully appropriated” has emphasized the importance of understanding linkages between the physical and ecological dynamics of the Niobrara River so it can be sustainably managed. In cooperation with the Nebraska Game and Parks Commission, the U.S. Geological Survey investigated the hydrogeomorphic and hydraulic attributes of the Niobrara River in northern Nebraska. This report presents the results of an analysis of hydrogeomorphic segments and hydraulic microhabitats of the Niobrara River and its valley for the approximately 330-mile reach from Dunlap Diversion Dam to its confluence with the Missouri River. Two spatial scales were used to examine and quantify the hydrogeomorphic segments and hydraulic microhabitats of the Niobrara River: a basin scale and a reach scale. </p><p>At the basin scale, digital spatial data and hydrologic data were analyzed to (1) test for differences between 36 previously determined longitudinal hydrogeomorphic segments; (2) quantitatively describe the hydrogeomorphic characteristics of the river and its valley; and (3) evaluate differences in hydraulic microhabitat over a range of flow regimes among three fluvial geomorphic provinces. The statistical analysis of hydrogeomorphic segments resulted in reclassification rates of 3 to 28 percent of the segments for the four descriptive geomorphic elements. </p><p>The reassignment of classes by discriminant analysis resulted in a reduction from 36 to 25 total hydrogeomorphic segments because several adjoining segments shared the same ultimate class assignments. Virtually all of the segment mergers were in the Canyons and Restricted Bottoms (CRB) fluvial geomorphic province. The most frequent classes among hydrogeomorphic segments, and the dominant classes per unit length of river, are: a width-restricted valley confinement condition, sinuous-planview pattern, irregular channel width, and an alternate bar configuration. </p><p>The Niobrara River in the study area flows through a diversity of fluvial geomorphic settings in its traverse across northern Nebraska. In the Meandering Bottoms (MB) fluvial geomorphic province, river discharge magnitudes are low, and the valley exerts little control on the channel-planview pattern. Within the CRB province, the river flows over a diversity of geologic formations, and the valley and river narrow and expand in approximate synchronicity. In the Braided Bottoms (BB) fluvial geomorphic province, the river primarily flows over Cretaceous Pierre Shale, the valley and channel are persistently wide, and the channel slope is generally uniform. The existence of vegetated islands and consequent multithread channel environments, indicated by a higher braided index, mostly coincided with reaches having gentler slopes and less unit stream power. Longitudinal hydrology curves indicate that the flow of the Niobrara River likely is dominated by groundwater as far downstream as Norden. Unit stream power values in the study area vary between 0 and almost 2 pounds per foot per second. Within the MB province, unit stream power steadily increases as the Niobrara gains discharge from groundwater inflow, and the channel slope steepens. The combination of steep slopes, a constrained channel width, and persistent flow within the CRB province results in unit stream power values that are between three and five times greater than those in less confined segments with comparable or greater discharges. With the exception of hydrogeomorphic segment 3, which is affected by Spencer Dam, unit stream power values in the BB province are generally uniform. Channel sinuosity values in the study area varied generally between 1 and 2.5, but with locally higher values measured in the MB province and at the entrenched bedrock meanders of hydrogeomorphic segment 18 in the CRB province. </p><p>The differences in channel morphology and hydraulic geometries between fluvial geomorphic provinces are evident in the types, relative abundance, and response of hydraulic microhabitats to changing discharges. The four gaging stations chosen for hydraulic microhabitat analysis are distributed among three different fluvial geomorphic provinces. In the MB province, the smaller channel and lower discharges resulted in the dominance of shallow and intermediate-depth hydraulic environments with the vast majority of hydraulic microhabitat restricted to shallow categories even during upper-decile discharges. In the CRB province, intermediate depth hydraulic conditions, particularly intermediate-swift, dominate over all ranges of discharge. Hydraulic microhabitat conditions were most diverse in the BB province, with most hydraulic microhabitat categories present over the entire range of discharges analyzed. The calculated differences in hydraulic microhabitat distributions, abundance, and adjustments between streamflow-gaging stations were the result of differences in physical structure of the channel and subsequent channel hydraulic geometry. </p><p>At the reach scale, field measurements made in water years 2008 and 2009 in four study reaches within the Scenic Reach were used to (1) characterize the elevation and geomorphic processes associated with fluvial landforms, (2) build hydraulic geometry relations, (3) examine flow hydraulics over a range of discharges, and (4) examine the types and responses of hydraulic microhabitats to a range of flow magnitudes. Four landform groups were identified and named in order of increasing elevation: low flood plains, intermediate flood plains, low terraces, and high terraces. The terraces were poorly characterized because the surveys did not extend across the full width of the alluvial valley bottom. The two lowest fluvial landforms are likely active in the modern hydroclimatic regime. Sediment samples obtained in the study reaches indicate that the primary bed material in the active channel ranged in size from coarse silt to coarse sand. Grain-size distributions from samples also indicate that the bed of the Niobrara River among the study reaches coarsens and has increasing grainsize variability in the downstream direction. </p><p>Values of at-a-station hydraulic geometry exponents indicate that the Niobrara River in the study reaches adjusts its geometry to changing discharges primarily through increases in flow depth and velocity. Relations at one cross section indicated that, at least locally, changes in width were also an important channel adjustment mechanism. Hydraulic behavior over the range of flows measured was not consistent among all study reaches, but two general modes of hydraulic behavior were observed in the reaches with substantial coverage of the bed by fine sediment. At the Sunny Brook and Muleshoe study reaches, average boundary-shear stress remained approximately constant, and hydraulic resistance decreased, for discharges below 900 cubic feet per second (ft<sup>3</sup>/s). Above 900 ft<sup>3</sup>/s, average boundary shear stress and hydraulic resistance both increased. The Rock Barn study reach did not exhibit the same two-mode hydraulic behavior observed at the Sunny Brook and Muleshoe reaches. The coincident increase in boundary shear stress above 900 ft<sup>3</sup>/s observed at the Sunny Brook and Muleshoe study reaches represents a potential hydraulic threshold above which bedload transport rates were likely to increase markedly. No consistent bed-adjustment pattern (scour or fill) was identified in the study reaches over the range of flows or over the measurement season. </p><p>Analysis of hydraulic microhabitats over the range of discharges measured at the study reaches indicates that some percentage of most habitat niche categories was available for at least one discharge condition, but the majority of hydraulic habitat available was within the intermediate-swift and deepswift habitat niche categories. Deep-swift conditions dominated nearly all study reaches under all measured discharge conditions. Slight differences in habitat distributions were observed between the study reaches with substantial coverage of the bed by fine sediment—Sunny Brook, Muleshoe, and Rock Barn—and the bedrock-dominated reach, Crooked Creek. Although the four study reaches occupy three different hydrogeomorphic segments, the types, relative abundance, and response of hydraulic microhabitat niche distributions to changing discharge conditions generally were similar among all reaches.&nbsp;</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105141","collaboration":"Prepared in cooperation with the Nebraska Game and Parks Commission","usgsCitation":"Alexander, J.S., Zelt, R.B., and Schaepe, N., 2010, Hydrogeomorphic segments and hydraulic microhabitats of the Niobrara River, Nebraska— With special emphasis on the Niobrara National Scenic River: U.S. Geological Survey Scientific Investigations Report 2010-5141, vi, 62 p., https://doi.org/10.3133/sir20105141.","productDescription":"vi, 62 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":423022,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93870.htm","linkFileType":{"id":5,"text":"html"}},{"id":13977,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5141/","linkFileType":{"id":5,"text":"html"}},{"id":116050,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5141.jpg"}],"scale":"2000000","projection":"Universal Transverse Mercator","country":"United States","state":"Nebraska","otherGeospatial":"Niobrara River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104,41.5 ], [ -104,43.25 ], [ -98,43.25 ], [ -98,41.5 ], [ -104,41.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a2de4b07f02db6147ad","contributors":{"authors":[{"text":"Alexander, Jason S. 0000-0002-1602-482X jalexand@usgs.gov","orcid":"https://orcid.org/0000-0002-1602-482X","contributorId":2802,"corporation":false,"usgs":true,"family":"Alexander","given":"Jason","email":"jalexand@usgs.gov","middleInitial":"S.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":false,"id":305794,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zelt, Ronald B. 0000-0001-9024-855X rbzelt@usgs.gov","orcid":"https://orcid.org/0000-0001-9024-855X","contributorId":300,"corporation":false,"usgs":true,"family":"Zelt","given":"Ronald","email":"rbzelt@usgs.gov","middleInitial":"B.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305792,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schaepe, Nathan J.","contributorId":46194,"corporation":false,"usgs":true,"family":"Schaepe","given":"Nathan J.","affiliations":[],"preferred":false,"id":305793,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98576,"text":"sim3102 - 2010 - Mapping watershed potential to contribute phosphorus from geologic materials to receiving streams, southeastern United States","interactions":[],"lastModifiedDate":"2017-01-31T08:33:35","indexId":"sim3102","displayToPublicDate":"2010-08-10T00:00:00","publicationYear":"2010","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":"3102","title":"Mapping watershed potential to contribute phosphorus from geologic materials to receiving streams, southeastern United States","docAbstract":"<p>As part of the southeastern United States SPARROW (SPAtially Referenced Regressions On Watershed attributes) water-quality model implementation, the U.S. Geological Survey created a dataset to characterize the contribution of phosphorus to streams from weathering and erosion of surficial geologic materials. SPARROW provides estimates of total nitrogen and phosphorus loads in surface waters from point and nonpoint sources. The characterization of the contribution of phosphorus from geologic materials is important to help separate the effects of natural or background sources of phosphorus from anthropogenic sources of phosphorus, such as municipal wastewater or agricultural practices. The potential of a watershed to contribute phosphorus from naturally occurring geologic materials to streams was characterized by using geochemical data from bed-sediment samples collected from first-order streams in relatively undisturbed watersheds as part of the multiyear U.S. Geological Survey National Geochemical Survey. The spatial pattern of bed-sediment phosphorus concentration is offered as a tool to represent the best available information at the regional scale. One issue may weaken the use of bed-sediment phosphorus concentration as a surrogate for the potential for geologic materials in the watershed to contribute to instream levels of phosphorus-an unknown part of the variability in bed-sediment phosphorus concentration may be due to the rates of net deposition and processing of phosphorus in the streambed rather than to variability in the potential of the watershed's geologic materials to contribute phosphorus to the stream. Two additional datasets were created to represent the potential of a watershed to contribute phosphorus from geologic materials disturbed by mining activities from active mines and&nbsp;<span>inactive mines.</span></p>","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sim3102","usgsCitation":"Terziotti, S., Hoos, A.B., Harned, D., and Garcia, A., 2010, Mapping watershed potential to contribute phosphorus from geologic materials to receiving streams, southeastern United States: U.S. Geological Survey Scientific Investigations Map 3102, 1 Map Sheet: 42 inches x 36 inches, https://doi.org/10.3133/sim3102.","productDescription":"1 Map Sheet: 42 inches x 36 inches","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":13974,"rank":100,"type":{"id":15,"text":"Index 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Douglas","contributorId":11195,"corporation":false,"usgs":true,"family":"Harned","given":"Douglas","affiliations":[],"preferred":false,"id":305786,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garcia, Ana Maria 0000-0002-5388-1281","orcid":"https://orcid.org/0000-0002-5388-1281","contributorId":44634,"corporation":false,"usgs":true,"family":"Garcia","given":"Ana Maria","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305787,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98575,"text":"sir20095037 - 2010 - Simulation of ground-water flow and solute transport in the Glen Canyon aquifer, East-Central Utah","interactions":[],"lastModifiedDate":"2017-09-19T16:37:36","indexId":"sir20095037","displayToPublicDate":"2010-08-10T00:00:00","publicationYear":"2010","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":"2009-5037","title":"Simulation of ground-water flow and solute transport in the Glen Canyon aquifer, East-Central Utah","docAbstract":"<p>The extraction of methane from coal beds in the Ferron coal trend in central Utah started in the mid-1980s. Beginning in 1994, water from the extraction process was pressure injected into the Glen Canyon aquifer. The lateral extent of the aquifer that could be affected by injection is about 7,600 square miles. To address regional-scale effects of injection over a decadal time frame, a conceptual model of ground-water movement and transport of dissolved solids was formulated. A numerical model that incorporates aquifer concepts was then constructed and used to simulate injection.</p><p>The Glen Canyon aquifer within the study area is conceptualized in two parts—an active area of ground-water flow and solute transport that exists between recharge areas in the San Rafael Swell and Desert, Waterpocket Fold, and Henry Mountains and discharge locations along the Muddy, Dirty Devil, San Rafael, and Green Rivers. An area of little or negligible ground-water flow exists north of Price, Utah, and beneath the Wasatch Plateau. Pressurized injection of coal-bed methane production water occurs in this area where dissolved-solids concentrations can be more than 100,000 milligrams per liter. Injection has the potential to increase hydrologic interaction with the active flow area, where dissolved-solids concentrations are generally less than 3,000 milligrams per liter.</p><p>Pressurized injection of coal-bed methane production water in 1994 initiated a net addition of flow and mass of solutes into the Glen Canyon aquifer. To better understand the regional scale hydrologic interaction between the two areas of the Glen Canyon aquifer, pressurized injection was numerically simulated. Data constraints precluded development of a fully calibrated simulation; instead, an uncalibrated model was constructed that is a plausible representation of the conceptual flow and solute-transport processes. The amount of injected water over the 36-year simulation period is about 25,000 acre-feet. As a result, simulated water levels in the injection areas increased by 50 feet and dissolved-solids concentrations increased by 100 milligrams per liter or more. These increases are accrued into aquifer storage and do not extend to the rivers during the 36-year simulation period. The amount of change in simulated discharge and solute load to the rivers is less than the resolution accuracy of the numerical simulation and is interpreted as no significant change over the considered time period.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20095037","collaboration":"Prepared in cooperation with the Utah Department of Natural Resources, Division of Oil, Gas, and Mining","usgsCitation":"Freethey, G.W., and Stolp, B.J., 2010, Simulation of ground-water flow and solute transport in the Glen Canyon aquifer, East-Central Utah: U.S. Geological Survey Scientific Investigations Report 2009-5037, vi, 28 p., https://doi.org/10.3133/sir20095037.","productDescription":"vi, 28 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":116043,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5037.jpg"},{"id":13972,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5037/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Utah","otherGeospatial":"Glen Canyon aquifer","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.478271484375,\n              38.41916639395372\n            ],\n            [\n              -111.4892578125,\n              38.51808630316305\n            ],\n            [\n              -111.6265869140625,\n              38.59540719940386\n            ],\n            [\n              -111.7529296875,\n              38.586820096127674\n            ],\n            [\n              -111.8408203125,\n              38.77978137804918\n            ],\n            [\n              -111.57714843749999,\n              39.155622393423215\n            ],\n            [\n              -111.3519287109375,\n              39.48284540453334\n            ],\n            [\n              -111.324462890625,\n              39.66914219401813\n            ],\n            [\n              -111.5057373046875,\n              39.9476478239225\n            ],\n            [\n              -111.37939453125,\n              40.0360265298117\n            ],\n            [\n              -111.2091064453125,\n              39.99395569397331\n            ],\n            [\n              -111.18713378906249,\n              40.107487419012415\n            ],\n            [\n              -110.4730224609375,\n              39.757879992021756\n            ],\n            [\n              -110.0445556640625,\n              39.50827899034114\n            ],\n            [\n              -110.15716552734375,\n              38.982897808179985\n            ],\n            [\n              -110.08575439453125,\n              38.6275996886131\n            ],\n            [\n              -110.01434326171875,\n              38.40194908237822\n            ],\n            [\n              -110.4400634765625,\n              38.153997218446115\n            ],\n            [\n              -110.55541992187499,\n              38.34596449365382\n            ],\n            [\n              -110.9619140625,\n              38.55246141354153\n            ],\n            [\n              -111.2750244140625,\n              38.41916639395372\n            ],\n            [\n              -111.478271484375,\n              38.41916639395372\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f8e4b07f02db5f2b1c","contributors":{"authors":[{"text":"Freethey, Geoffrey W.","contributorId":25570,"corporation":false,"usgs":true,"family":"Freethey","given":"Geoffrey","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":305783,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stolp, Bernard J. 0000-0003-3803-1497 bjstolp@usgs.gov","orcid":"https://orcid.org/0000-0003-3803-1497","contributorId":963,"corporation":false,"usgs":true,"family":"Stolp","given":"Bernard","email":"bjstolp@usgs.gov","middleInitial":"J.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305782,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98572,"text":"ofr20101156 - 2010 - A high-resolution land-use map; Nogales, Sonora, Mexico","interactions":[],"lastModifiedDate":"2012-02-10T00:11:56","indexId":"ofr20101156","displayToPublicDate":"2010-08-07T00:00:00","publicationYear":"2010","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":"2010-1156","title":"A high-resolution land-use map; Nogales, Sonora, Mexico","docAbstract":"The cities of Nogales, Sonora, and Nogales, Arizona, are located in the Ambos Nogales Watershed, a topographically irregular bowl-shaped area with a northward gradient. Throughout history, residents in both cities have been affected by flooding. Currently, the primary method for regulating this runoff is to build a series of detention basins in Nogales, Sonora. Additionally, the municipality also is considering land-use planning to help mitigate flooding. This paper describes the production of a 10-meter resolution land-use map, derived from 2008 aerial photos of the Nogales, Sonora Watershed for modeling impacts of the detention basin construction and in support of an ?Early Warning Hazard System? for the region. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101156","usgsCitation":"Norman, L.M., Villarreal, M., Wallace, C., Gil Anaya, C.Z., Diaz Arcos, I., and Gray, F., 2010, A high-resolution land-use map; Nogales, Sonora, Mexico: U.S. Geological Survey Open-File Report 2010-1156, iii, 15p.; Appendices; Readme TXT File; Metadata TXT File; Data ZIP, https://doi.org/10.3133/ofr20101156.","productDescription":"iii, 15p.; Appendices; Readme TXT File; Metadata TXT File; Data ZIP","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":199442,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13969,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1156/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.16666666666667,31.166666666666668 ], [ -111.16666666666667,31.466666666666665 ], [ -110.81666666666666,31.466666666666665 ], [ -110.81666666666666,31.166666666666668 ], [ -111.16666666666667,31.166666666666668 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6ae45c","contributors":{"authors":[{"text":"Norman, Laura M. 0000-0002-3696-8406 lnorman@usgs.gov","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":967,"corporation":false,"usgs":true,"family":"Norman","given":"Laura","email":"lnorman@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":305770,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Villarreal, Miguel L.","contributorId":107012,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel L.","affiliations":[],"preferred":false,"id":305774,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wallace, Cynthia S.A.","contributorId":70487,"corporation":false,"usgs":true,"family":"Wallace","given":"Cynthia S.A.","affiliations":[],"preferred":false,"id":305773,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gil Anaya, Claudia Z.","contributorId":31869,"corporation":false,"usgs":true,"family":"Gil Anaya","given":"Claudia","email":"","middleInitial":"Z.","affiliations":[],"preferred":false,"id":305771,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Diaz Arcos, Israel","contributorId":60741,"corporation":false,"usgs":true,"family":"Diaz Arcos","given":"Israel","email":"","affiliations":[],"preferred":false,"id":305772,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gray, Floyd 0000-0002-0223-8966 fgray@usgs.gov","orcid":"https://orcid.org/0000-0002-0223-8966","contributorId":603,"corporation":false,"usgs":true,"family":"Gray","given":"Floyd","email":"fgray@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":305769,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":98568,"text":"sir20105029 - 2010 - Concentrations and estimated loads of nutrients, mercury, and polychlorinated biphenyls in selected tributaries to Lake Michigan, 2005-6","interactions":[],"lastModifiedDate":"2012-03-08T17:16:32","indexId":"sir20105029","displayToPublicDate":"2010-08-07T00:00:00","publicationYear":"2010","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":"2010-5029","title":"Concentrations and estimated loads of nutrients, mercury, and polychlorinated biphenyls in selected tributaries to Lake Michigan, 2005-6","docAbstract":"The Lake Michigan Mass Balance Project (LMMBP) measured and modeled the concentrations of environmentally persistent contaminants in air, river and lake water, sediment, and fish and bird tissues in and around Lake Michigan for an 18-month period spanning 1994-95. Tributary loads were calculated as part of the LMMBP. The work described in this report was designed to provide updated concentration data and load estimates for 5 nutrients, total mercury, and total polychlorinated biphenyl (PCB) at 5 of the original 11 LMMBP sampling sites.\r\n\r\nSamples were collected at five Lake Michigan tributary monitoring sites during 2005 and 2006. Annual loads calculated for the 2005-6 sampling period are as much as 50 percent lower relative to the 1994-95 time period. Differences between the loads calculated for the two time periods are likely related to a combination of (1) biases introduced by a reduced level of sampling effort, (2) differences in hydrological characteristics, and (3) actual environmental change.\r\n\r\nEstimated annual total mercury loads during 2005-6 ranged from 51 kilograms per year (kg/yr) in the Fox River to 2.2 kg/yr in the Indiana Harbor and Ship Canal. Estimated annual total PCB loads during 2005-6 ranged from 132 kg/yr in the Fox River to 6.2 kg/yr in the Grand River.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105029","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency, Great Lakes National Program Office","usgsCitation":"Westenbroek, S.M., 2010, Concentrations and estimated loads of nutrients, mercury, and polychlorinated biphenyls in selected tributaries to Lake Michigan, 2005-6: U.S. Geological Survey Scientific Investigations Report 2010-5029, viii, 28 p.; Appendices, https://doi.org/10.3133/sir20105029.","productDescription":"viii, 28 p.; Appendices","additionalOnlineFiles":"N","temporalStart":"2005-10-01","temporalEnd":"2006-09-30","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":116055,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5029.jpg"},{"id":13965,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5029/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -91,41 ], [ -91,47 ], [ -83.83333333333333,47 ], [ -83.83333333333333,41 ], [ -91,41 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b17e4b07f02db6a620b","contributors":{"authors":[{"text":"Westenbroek, Stephen M. 0000-0002-6284-8643 smwesten@usgs.gov","orcid":"https://orcid.org/0000-0002-6284-8643","contributorId":2210,"corporation":false,"usgs":true,"family":"Westenbroek","given":"Stephen","email":"smwesten@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305757,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70156384,"text":"70156384 - 2010 - A geologic and anthropogenic journey from the Precambrian to the new energy economy through the San Juan volcanic field","interactions":[],"lastModifiedDate":"2021-11-09T16:12:51.345054","indexId":"70156384","displayToPublicDate":"2010-08-07T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"A geologic and anthropogenic journey from the Precambrian to the new energy economy through the San Juan volcanic field","docAbstract":"<div id=\"abstract-1\" class=\"section abstract\">\n<p id=\"p-1\">The San Juan volcanic field comprises 25,000 km<sup>2</sup>&nbsp;of intermediate composition mid-Tertiary volcanic rocks and dacitic to rhyolitic calderas including the San Juan&ndash;Uncompahgre and La Garita caldera-forming super-volcanoes. The region is famous for the geological, ecological, hydrological, archeological, and climatological diversity. These characteristics supported ancestral Puebloan populations. The area is also important for its mineral wealth that once fueled local economic vitality. Today, mitigating and/or investigating the impacts of mining and establishing the region as a climate base station are the focuses of ongoing research. Studies include advanced water treatment, the acid neutralizing capacity (ANC) of propylitic bedrock for use in mine-lands cleanup, and the use of soil amendments including biochar from beetle-kill pines. Biochar aids soil productivity and revegetation by incorporation into soils to improve moisture retention, reduce erosion, and support the natural terrestrial carbon sequestration (NTS) potential of volcanic soils to help offset atmospheric CO<sub>2</sub>&nbsp;emissions. This field trip will examine the volcano-tectonic and cultural history of the San Juan volcanic field as well as its geologic structures, economic mineral deposits and impacts, recent mitigation measures, and associated climate research. Field trip stops will include a visit to (1) the Summitville Superfund site to explore quartz alunite-Au mineralization, and associated alteration and new water-quality mitigation strategies; (2) the historic Creede epithermal-polymetallic&ndash;vein district with remarkably preserved resurgent calderas, keystone-graben, and moat sediments; (3) the historic mining town of Silverton located in the nested San Juan&ndash;Silverton caldera complex that exhibits base-metal Au-Ag mineralization; and (4) the site of ANC and NTS studies. En route back to Denver, we will traverse Grand Mesa, a high NTS area with Neogene basalt-derived soils and will enjoy a soak in the geothermal waters of the Aspen anomaly at Glenwood Springs.</p>\n</div>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Through the generations: Geologic and anthropogenic field excursions in the Rocky Mountains from modern to ancient","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/2010.0018(09)","usgsCitation":"Yager, D.B., Burchell, A., and Johnson, R.H., 2010, A geologic and anthropogenic journey from the Precambrian to the new energy economy through the San Juan volcanic field, chap. <i>of</i> Through the generations: Geologic and anthropogenic field excursions in the Rocky Mountains from modern to ancient, p. 193-237, https://doi.org/10.1130/2010.0018(09).","productDescription":"44 p.","startPage":"193","endPage":"237","numberOfPages":"44","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-023125","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":307041,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"San Juan volcanic field","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -108.951416015625,\n              37.03763967977139\n            ],\n            [\n              -104.04052734375,\n              37.03763967977139\n            ],\n            [\n              -104.04052734375,\n              38.95940879245423\n            ],\n            [\n              -108.951416015625,\n              38.95940879245423\n            ],\n            [\n              -108.951416015625,\n              37.03763967977139\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationDate":"2011-04-26","publicationStatus":"PW","scienceBaseUri":"57fe824fe4b0824b2d148528","contributors":{"authors":[{"text":"Yager, Douglas B. 0000-0001-5074-4022 dyager@usgs.gov","orcid":"https://orcid.org/0000-0001-5074-4022","contributorId":798,"corporation":false,"usgs":true,"family":"Yager","given":"Douglas","email":"dyager@usgs.gov","middleInitial":"B.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":568978,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burchell, Alison Alison","contributorId":120944,"corporation":false,"usgs":true,"family":"Burchell","given":"Alison","suffix":"Alison","email":"","affiliations":[],"preferred":false,"id":568979,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Raymond H. rhjohnso@usgs.gov","contributorId":707,"corporation":false,"usgs":true,"family":"Johnson","given":"Raymond","email":"rhjohnso@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":568980,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70217267,"text":"70217267 - 2010 - The 2007 M5.4 Alum Rock, California, earthquake: Implications for future earthquakes on the central and southern Calaveras Fault","interactions":[],"lastModifiedDate":"2021-01-15T13:08:33.969273","indexId":"70217267","displayToPublicDate":"2010-08-05T10:28:06","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6453,"text":"Journal of Geophysical Research Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"The 2007 M5.4 Alum Rock, California, earthquake: Implications for future earthquakes on the central and southern Calaveras Fault","docAbstract":"<p><span class=\"paraNumber\">[1]<span>&nbsp;</span></span><span>The similarity of seismograms recorded by two seismic stations demonstrate that the 31 October 2007 moment magnitude&nbsp;</span><i>M</i><span>5.4 Alum Rock earthquake is a repeat of a 1955&nbsp;</span><i>M</i><sub>L</sub><span>5.5 earthquake. Both occurred on Oppenheimer et al.'s (1990) Zone V “stuck patch” on the central Calaveras fault, providing new support for their model of Calaveras fault earthquake activity. We suggest that Zone V fails only in a family of recurring&nbsp;</span><i>M</i><span>&nbsp;∼ 5.4–5.5 earthquakes. The 1955 and 2007 earthquakes are the penultimate and ultimate Zone V events. Earthquakes in 1891 and 1864 are possible earlier Zone V events. The next Zone V event is not expected in the next few decades, assuming a time‐dependent recurrence model: the mean forecast date is 2064 (2035–2104, 95% confidence range). We further suggest that Zones I, II, III, and IV fail in recurring&nbsp;</span><i>M</i><span>&nbsp;∼ 5.1–5.3,&nbsp;</span><i>M</i><span>&nbsp;∼ 5.6–5.8,&nbsp;</span><i>M</i><span>&nbsp;∼ 6.1–6.3, and&nbsp;</span><i>M</i><span>&nbsp;∼ 4.9–5.0 earthquakes, respectively. If our earthquake recurrence model is correct, the next Zone I event is overdue and could occur anytime, and&nbsp;</span><i>M</i><span>5–6 earthquakes should not occur on Zones II, III, and IV before 2014, 2012, and 2026, respectively. We cannot rule out the possibility that Zone VI, which lies at the southern end of the Mission Seismic Trend, where the southern Hayward and central Calaveras faults appear to connect at depth, fails aseismically or in large events on the southern Hayward fault, such as last occurred in 1868, or in large events on the adjoining northern Calaveras fault segment.</span></p>","language":"English","publisher":"Wiley","doi":"10.1029/2009JB006683","usgsCitation":"Oppenheimer, D.H., Bakun, W.H., Parsons, T., Simpson, R.W., Boatwright, J., and Uhrhammer, R.A., 2010, The 2007 M5.4 Alum Rock, California, earthquake: Implications for future earthquakes on the central and southern Calaveras Fault: Journal of Geophysical Research Solid Earth, v. 115, no. b8, B08305, 15 p., https://doi.org/10.1029/2009JB006683.","productDescription":"B08305, 15 p.","ipdsId":"IP-014199","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":475677,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2009jb006683","text":"Publisher Index Page"},{"id":382164,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Alum Rock","otherGeospatial":"Calaveras fault","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.15972900390624,\n              36.94769679250732\n            ],\n            [\n              -121.322021484375,\n              36.94769679250732\n            ],\n            [\n              -121.322021484375,\n              37.71859032558816\n            ],\n            [\n              -122.15972900390624,\n              37.71859032558816\n            ],\n            [\n              -122.15972900390624,\n              36.94769679250732\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"115","issue":"b8","noUsgsAuthors":false,"publicationDate":"2010-08-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Oppenheimer, David H. oppen@usgs.gov","contributorId":1112,"corporation":false,"usgs":true,"family":"Oppenheimer","given":"David","email":"oppen@usgs.gov","middleInitial":"H.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":808212,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bakun, William H.","contributorId":39361,"corporation":false,"usgs":true,"family":"Bakun","given":"William","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":808213,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parsons, Tom 0000-0002-0582-4338","orcid":"https://orcid.org/0000-0002-0582-4338","contributorId":22056,"corporation":false,"usgs":true,"family":"Parsons","given":"Tom","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":808214,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Simpson, Robert W. simpson@usgs.gov","contributorId":1053,"corporation":false,"usgs":true,"family":"Simpson","given":"Robert","email":"simpson@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":808215,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boatwright, John 0000-0002-6931-5241 boat@usgs.gov","orcid":"https://orcid.org/0000-0002-6931-5241","contributorId":1938,"corporation":false,"usgs":true,"family":"Boatwright","given":"John","email":"boat@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":808216,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Uhrhammer, R. A.","contributorId":94158,"corporation":false,"usgs":false,"family":"Uhrhammer","given":"R.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":808217,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":98562,"text":"ds519 - 2010 - Water-level database update for the Death Valley regional groundwater flow system, Nevada and California, 1907-2007","interactions":[],"lastModifiedDate":"2012-03-08T17:16:17","indexId":"ds519","displayToPublicDate":"2010-08-05T00:00:00","publicationYear":"2010","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":"519","title":"Water-level database update for the Death Valley regional groundwater flow system, Nevada and California, 1907-2007","docAbstract":"The water-level database for the Death Valley regional groundwater flow system in Nevada and California was updated. The database includes more than 54,000 water levels collected from 1907 to 2007, from more than 1,800 wells. Water levels were assigned a primary flag and multiple secondary flags that describe hydrologic conditions and trends at the time of the measurement and identify pertinent information about the well or water-level measurement. The flags provide a subjective measure of the relative accuracy of the measurements and are used to identify which water levels are appropriate for calculating head observations in a regional transient groundwater flow model. Included in the report appendix are all water-level data and their flags, selected well data, and an interactive spreadsheet for viewing hydrographs and well locations. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds519","collaboration":"Prepared in cooperation with U.S. Department of Energy Office of Civilian Radioactive Waste Management, under Interagency Agreement DE-AI08-02RW12167, and the Bureau of Land Management","usgsCitation":"Pavelko, M.T., 2010, Water-level database update for the Death Valley regional groundwater flow system, Nevada and California, 1907-2007: U.S. Geological Survey Data Series 519, iv, 11 p.; Appendices; Downloadable Appendix A XLSX , https://doi.org/10.3133/ds519.","productDescription":"iv, 11 p.; Appendices; Downloadable Appendix A XLSX ","additionalOnlineFiles":"Y","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":173829,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13959,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/519/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118,35 ], [ -118,38 ], [ -114.66666666666667,38 ], [ -114.66666666666667,35 ], [ -118,35 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49ace4b07f02db5c687a","contributors":{"authors":[{"text":"Pavelko, Michael T. 0000-0002-8323-3998 mpavelko@usgs.gov","orcid":"https://orcid.org/0000-0002-8323-3998","contributorId":2321,"corporation":false,"usgs":true,"family":"Pavelko","given":"Michael","email":"mpavelko@usgs.gov","middleInitial":"T.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305738,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":98563,"text":"sir20095028 - 2010 - Application of SEAWAT to select variable-density and viscosity problems","interactions":[],"lastModifiedDate":"2012-02-02T00:13:48","indexId":"sir20095028","displayToPublicDate":"2010-08-05T00:00:00","publicationYear":"2010","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":"2009-5028","title":"Application of SEAWAT to select variable-density and viscosity problems","docAbstract":"SEAWAT is a combined version of MODFLOW and MT3DMS, designed to simulate three-dimensional, variable-density, saturated groundwater flow. The most recent version of the SEAWAT program, SEAWAT Version 4 (or SEAWAT_V4), supports equations of state for fluid density and viscosity. In SEAWAT_V4, fluid density can be calculated as a function of one or more MT3DMS species, and optionally, fluid pressure. Fluid viscosity is calculated as a function of one or more MT3DMS species, and the program also includes additional functions for representing the dependence of fluid viscosity on temperature.\r\n\r\nThis report documents testing of and experimentation with SEAWAT_V4 with six previously published problems that include various combinations of density-dependent flow due to temperature variations and/or concentration variations of one or more species. Some of the problems also include variations in viscosity that result from temperature differences in water and oil. Comparisons between the results of SEAWAT_V4 and other published results are generally consistent with one another, with minor differences considered acceptable.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095028","usgsCitation":"Dausman, A., Langevin, C.D., Thorne, D.T., and Sukop, M.C., 2010, Application of SEAWAT to select variable-density and viscosity problems: U.S. Geological Survey Scientific Investigations Report 2009-5028, viii, 28 p., https://doi.org/10.3133/sir20095028.","productDescription":"viii, 28 p.","additionalOnlineFiles":"N","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":116868,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5028.jpg"},{"id":13960,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5028/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac7e4b07f02db67ac1e","contributors":{"authors":[{"text":"Dausman, Alyssa M.","contributorId":64337,"corporation":false,"usgs":true,"family":"Dausman","given":"Alyssa M.","affiliations":[],"preferred":false,"id":305742,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Langevin, Christian D. 0000-0001-5610-9759 langevin@usgs.gov","orcid":"https://orcid.org/0000-0001-5610-9759","contributorId":1030,"corporation":false,"usgs":true,"family":"Langevin","given":"Christian","email":"langevin@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":305739,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thorne, Danny T. Jr.","contributorId":6135,"corporation":false,"usgs":true,"family":"Thorne","given":"Danny","suffix":"Jr.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":305740,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sukop, Michael C.","contributorId":52271,"corporation":false,"usgs":true,"family":"Sukop","given":"Michael","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":305741,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98565,"text":"sir20105062 - 2010 - Effects of including surface depressions in the application of the Precipitation-Runoff Modeling System in the Upper Flint River Basin, Georgia","interactions":[],"lastModifiedDate":"2017-01-17T10:33:57","indexId":"sir20105062","displayToPublicDate":"2010-08-05T00:00:00","publicationYear":"2010","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":"2010-5062","title":"Effects of including surface depressions in the application of the Precipitation-Runoff Modeling System in the Upper Flint River Basin, Georgia","docAbstract":"This report documents an extension of the Precipitation Runoff Modeling System that accounts for the effect of a large number of water-holding depressions in the land surface on the hydrologic response of a basin. Several techniques for developing the inputs needed by this extension also are presented. These techniques include the delineation of the surface depressions, the generation of volume estimates for the surface depressions, and the derivation of model parameters required to describe these surface depressions. This extension is valuable for applications in basins where surface depressions are too small or numerous to conveniently model as discrete spatial units, but where the aggregated storage capacity of these units is large enough to have a substantial effect on streamflow. In addition, this report documents several new model concepts that were evaluated in conjunction with the depression storage functionality, including: ?hydrologically effective? imperviousness, rates of hydraulic conductivity, and daily streamflow routing.\r\n\r\nAll of these techniques are demonstrated as part of an application in the Upper Flint River Basin, Georgia. Simulated solar radiation, potential evapotranspiration, and water balances match observations well, with small errors for the first two simulated data in June and August because of differences in temperatures from the calibration and evaluation periods for those months. Daily runoff simulations show increasing accuracy with streamflow and a good fit overall. Including surface depression storage in the model has the effect of decreasing daily streamflow for all but the lowest flow values. The report discusses the choices and resultant effects involved in delineating and parameterizing these features. The remaining enhancements to the model and its application provide a more realistic description of basin geography and hydrology that serve to constrain the calibration process to more physically realistic parameter values.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105062","usgsCitation":"Viger, R., Hay, L.E., Jones, J., and Buell, G.R., 2010, Effects of including surface depressions in the application of the Precipitation-Runoff Modeling System in the Upper Flint River Basin, Georgia: U.S. Geological Survey Scientific Investigations Report 2010-5062, viii, 37 p., https://doi.org/10.3133/sir20105062.","productDescription":"viii, 37 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":116869,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5062.jpg"},{"id":13962,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5062/","linkFileType":{"id":5,"text":"html"}}],"scale":"250000","country":"United States","state":"Georgia","otherGeospatial":"Upper Flint River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -85,30.5 ], [ -85,34 ], [ -83.5,34 ], [ -83.5,30.5 ], [ -85,30.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a29e4b07f02db611e7f","contributors":{"authors":[{"text":"Viger, Roland J.","contributorId":97528,"corporation":false,"usgs":true,"family":"Viger","given":"Roland J.","affiliations":[],"preferred":false,"id":305747,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hay, Lauren E. 0000-0003-3763-4595 lhay@usgs.gov","orcid":"https://orcid.org/0000-0003-3763-4595","contributorId":1287,"corporation":false,"usgs":true,"family":"Hay","given":"Lauren","email":"lhay@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":305744,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, John 0000-0001-6117-3691 jwjones@usgs.gov","orcid":"https://orcid.org/0000-0001-6117-3691","contributorId":2220,"corporation":false,"usgs":true,"family":"Jones","given":"John","email":"jwjones@usgs.gov","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":305745,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buell, Gary R. grbuell@usgs.gov","contributorId":3107,"corporation":false,"usgs":true,"family":"Buell","given":"Gary","email":"grbuell@usgs.gov","middleInitial":"R.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305746,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98564,"text":"sir20105106 - 2010 - Determination of baseline periods of record for selected streamflow-gaging stations in and near Oklahoma for use in modeling applications","interactions":[],"lastModifiedDate":"2012-02-10T00:10:11","indexId":"sir20105106","displayToPublicDate":"2010-08-05T00:00:00","publicationYear":"2010","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":"2010-5106","title":"Determination of baseline periods of record for selected streamflow-gaging stations in and near Oklahoma for use in modeling applications","docAbstract":"Use of historical streamflow data from a least-altered period of record can be used in calibration of various modeling applications that are used to characterize least-altered flow and predict the effects of proposed streamflow alteration. This information can be used to enhance water-resources planning. A baseline period of record was determined for selected streamflow-gaging stations that can be used as a calibration dataset for modeling applications. The baseline period of record was defined as a period that is least-altered by anthropogenic activity and has sufficient streamflow record length to represent extreme climate variability. Streamflow data from 171 stations in and near Oklahoma with a minimum of 10 complete water years of daily streamflow record through water year 2007 and drainage areas that were less than 2,500 square miles were considered for use in the baseline period analysis.\r\n\r\nThe first step to determine the least-altered period of record was to evaluate station information by using previous publications, historical station record notes, and information gathered from oral and written communication with hydrographers familiar with selected stations. The second step was to indentify stations that had substantial effects from upstream regulation by evaluating the location and extent of dams in the drainage basin. The third step was (a) the analysis of annual hydrographs and included visual hydrograph analysis for selected stations with 20 or more years of streamflow record, (b) analysis of covariance of double-mass curves, and (c) Kendall's tau trend analysis to detect statistically significant trends in base flow, runoff, total flow, and base-flow index related to anthropogenic activity for selected stations with 15 or more years of streamflow record.\r\n\r\nA preliminary least-altered period of record for each stream was identified by removing the period of streamflow record when streams were substantially affected by anthropogenic activity. After streamflow record was removed from designation as a least-altered period, stations that did not have at least 10 years of remaining continuous streamflow record were considered to have an insufficient baseline period for modeling applications.\r\n\r\nAn optimum minimum period of record was determined for each of the least-altered periods for each station to ensure a sufficient streamflow record length to provide a representative sample of annual climate variability. An optimum minimum period of 10 years or more was evaluated by analyzing the variability of annual precipitation for selected 5-, 10-, 15-, 25-, and 35-year periods for each of 20 climate divisions that contained stations used in the baseline period analysis. The distribution of annual precipitation was compared for each consecutive overlapping 5-year period to the period 1925-2007 by using a Wilcoxon rank-sum test. The least-altered period of record for stations was also compared to the period 1925-2007 by using a Wilcoxon rank-sum test. The results of this analysis were used to determine how many years of annual precipitation data were needed for the selected period to be statistically similar to the distribution of annual precipitation data for a long-term period, 1925-2007. Minimum optimum periods ranged from 10 to 35 years and varied by climate division. A final baseline period was determined for 111 stations that had a baseline period of at least 10 years of continuous streamflow record after the record-elimination process. A suitable baseline period of record for use in modeling applications could not be identified for 58 of the initial 171 stations because of substantial anthropogenic alteration of the stream or drainage basin and for 2 stations because the least-altered period of record was not representative of annual climate variability. The baseline period for each station was rated ?excellent?, ?good?, ?fair?, ?poor?, or ?no baseline period.? This rating was based on a qualitative evaluation of t","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105106","collaboration":"Prepared in cooperation with Oklahoma State University and the Oklahoma Water Resources Board","usgsCitation":"Esralew, R.A., 2010, Determination of baseline periods of record for selected streamflow-gaging stations in and near Oklahoma for use in modeling applications: U.S. Geological Survey Scientific Investigations Report 2010-5106, v, 64 p., https://doi.org/10.3133/sir20105106.","productDescription":"v, 64 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":116867,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5106.jpg"},{"id":13961,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5106/","linkFileType":{"id":5,"text":"html"}}],"projection":"Albers Equal-Area Projection","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104,30 ], [ -104,37 ], [ -94,37 ], [ -94,30 ], [ -104,30 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aa8e4b07f02db667999","contributors":{"authors":[{"text":"Esralew, Rachel A.","contributorId":104862,"corporation":false,"usgs":true,"family":"Esralew","given":"Rachel","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":305743,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":98561,"text":"sir20105049 - 2010 - Simulation of the shallow groundwater-flow system near the Hayward Airport, Sawyer County, Wisconsin","interactions":[],"lastModifiedDate":"2012-03-08T17:16:18","indexId":"sir20105049","displayToPublicDate":"2010-08-04T00:00:00","publicationYear":"2010","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":"2010-5049","title":"Simulation of the shallow groundwater-flow system near the Hayward Airport, Sawyer County, Wisconsin","docAbstract":"There are concerns that removal and trimming of vegetation during expansion of the Hayward Airport in Sawyer County, Wisconsin, could appreciably change the character of a nearby cold-water stream and its adjacent environs. In cooperation with the Wisconsin Department of Transportation, a two-dimensional, steady-state groundwater-flow model of the shallow groundwater-flow system near the Hayward Airport was refined from a regional model of the area. The parameter-estimation code PEST was used to obtain a best fit of the model to additional field data collected in February 2007 as part of this study. The additional data were collected during an extended period of low runoff and consisted of water levels and streamflows near the Hayward Airport. Refinements to the regional model included one additional hydraulic-conductivity zone for the airport area, and three additional parameters for streambed resistance in a northern tributary to the Namekagon River and in the main stem of the Namekagon River. In the refined Hayward Airport area model, the calibrated hydraulic conductivity was 11.2 feet per day, which is within the 58.2 to 7.9 feet per day range reported for the regional glacial and sandstone aquifer, and is consistent with a silty soil texture for the area. The calibrated refined model had a best fit of 8.6 days for the streambed resistance of the Namekagon River and between 0.6 and 1.6 days for the northern tributary stream. The previously reported regional groundwater-recharge rate of 10.1 inches per year was adjusted during calibration of the refined model in order to match streamflows measured during the period of extended low runoff; this resulted in an optimal groundwater-recharge rate of 7.1 inches per year during this period. The refined model was then used to simulate the capture zone of the northern tributary to the Namekagon River.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105049","collaboration":"Prepared in cooperation with the Wisconsin Department of Transportation","usgsCitation":"Hunt, R.J., Juckem, P.F., and Dunning, C., 2010, Simulation of the shallow groundwater-flow system near the Hayward Airport, Sawyer County, Wisconsin: U.S. Geological Survey Scientific Investigations Report 2010-5049, iv, 14 p. , https://doi.org/10.3133/sir20105049.","productDescription":"iv, 14 p. ","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":116035,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5049.jpg"},{"id":13958,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5049/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -91.5,45.95 ], [ -91.5,46.083333333333336 ], [ -91.33333333333333,46.083333333333336 ], [ -91.33333333333333,45.95 ], [ -91.5,45.95 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f7e4b07f02db5f1d1b","contributors":{"authors":[{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305736,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Juckem, Paul F. 0000-0002-3613-1761 pfjuckem@usgs.gov","orcid":"https://orcid.org/0000-0002-3613-1761","contributorId":1905,"corporation":false,"usgs":true,"family":"Juckem","given":"Paul","email":"pfjuckem@usgs.gov","middleInitial":"F.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305737,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dunning, Charles P. cdunning@usgs.gov","contributorId":892,"corporation":false,"usgs":true,"family":"Dunning","given":"Charles P.","email":"cdunning@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":305735,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98560,"text":"sir20105060 - 2010 - Delineation and Prediction Uncertainty of Areas Contributing Recharge to Selected Well Fields in Wetland and Coastal Settings, Southern Rhode Island","interactions":[],"lastModifiedDate":"2012-03-08T17:16:32","indexId":"sir20105060","displayToPublicDate":"2010-08-04T00:00:00","publicationYear":"2010","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":"2010-5060","title":"Delineation and Prediction Uncertainty of Areas Contributing Recharge to Selected Well Fields in Wetland and Coastal Settings, Southern Rhode Island","docAbstract":"Areas contributing recharge to four well fields in two study sites in southern Rhode Island were delineated on the basis of steady-state groundwater-flow models representing average hydrologic conditions. The wells are screened in sand and gravel deposits in wetland and coastal settings. The groundwater-flow models were calibrated by inverse modeling using nonlinear regression. Summary statistics from nonlinear regression were used to evaluate the uncertainty associated with the predicted areas contributing recharge to the well fields.\r\n\r\nIn South Kingstown, two United Water Rhode Island well fields are in Mink Brook watershed and near Worden Pond and extensive wetlands. Wetland deposits of peat near the well fields generally range in thickness from 5 to 8 feet. Analysis of water-level drawdowns in a piezometer screened beneath the peat during a 20-day pumping period indicated vertical leakage and a vertical hydraulic conductivity for the peat of roughly 0.01 ft/d. The simulated area contributing recharge for average withdrawals of 2,138 gallons per minute during 2003-07 extended to groundwater divides in mostly till and morainal deposits, and it encompassed 2.30 square miles. Most of a sand and gravel mining operation between the well fields was in the simulated contributing area. For the maximum pumping capacity (5,100 gallons per minute), the simulated area contributing recharge expanded to 5.54 square miles. The well fields intercepted most of the precipitation recharge in Mink Brook watershed and in an adjacent small watershed, and simulated streams ceased to flow. The simulated contributing area to the well fields included an area beneath Worden Pond and a remote, isolated area in upland till on the opposite side of Worden Pond from the well fields. About 12 percent of the pumped water was derived from Worden Pond.\r\n\r\nIn Charlestown, the Central Beach Fire District and the East Beach Water Association well fields are on a small (0.85 square mile) peninsula in a coastal setting. The wells are screened in a coarse-grained, ice-proximal part of a morphosequence with saturated thicknesses generally less than 30 feet on the peninsula. The simulated area contributing recharge for the average withdrawal (16 gallons per minute) during 2003-07 was 0.018 square mile. The contributing area extended southwestward from the well fields to a simulated groundwater mound; it underlay part of a small nearby wetland, and it included isolated areas on the side of the wetland opposite the well fields. For the maximum pumping rate (230 gallons per minute), the simulated area contributing recharge (0.26 square mile) expanded in all directions; it included a till area on the peninsula, and it underlay part of a nearby pond. Because the well fields are screened in a thin aquifer, simulated groundwater traveltimes from recharge locations to the discharging wells were short: 94 percent of the traveltimes were 10 years or less, and the median traveltime was 1.3 years.\r\n\r\nModel-prediction uncertainty was evaluated using a Monte Carlo analysis; the parameter variance-covariance matrix from nonlinear regression was used to create parameter sets for the analysis. Important parameters for model prediction that could not be estimated by nonlinear regression were incorporated into the variance-covariance matrix. For the South Kingstown study site, observations provided enough information to constrain the uncertainty of these parameters within realistic ranges, but for the Charlestown study site, prior information on parameters was required. Thus, the uncertainty analysis for the South Kingstown study site was an outcome of calibrating the model to available observations, but the Charlestown study site was also dependent on information provided by the modeler. A water budget and model-fit statistical criteria were used to assess parameter sets so that prediction uncertainty was not overestimated. For the scenarios using maximum pumping rates at both study ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105060","collaboration":"Prepared in cooperation with the Rhode Island Department of Health","usgsCitation":"Friesz, P.J., 2010, Delineation and Prediction Uncertainty of Areas Contributing Recharge to Selected Well Fields in Wetland and Coastal Settings, Southern Rhode Island: U.S. Geological Survey Scientific Investigations Report 2010-5060, vii, 69 p. , https://doi.org/10.3133/sir20105060.","productDescription":"vii, 69 p. ","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"links":[{"id":13957,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5060/","linkFileType":{"id":5,"text":"html"}},{"id":116039,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5060.jpg"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.9,41 ], [ -71.9,41.53333333333333 ], [ -71.16666666666667,41.53333333333333 ], [ -71.16666666666667,41 ], [ -71.9,41 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db672423","contributors":{"authors":[{"text":"Friesz, Paul J. 0000-0002-4660-2336 pfriesz@usgs.gov","orcid":"https://orcid.org/0000-0002-4660-2336","contributorId":1075,"corporation":false,"usgs":true,"family":"Friesz","given":"Paul","email":"pfriesz@usgs.gov","middleInitial":"J.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305734,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":98556,"text":"ofr20101112 - 2010 - Evaluating the feasibility of modeling the subsurface structure of two volcanic units in drill holes UE-18r and ER-EC-2a using existing magnetic data, Nevada Test Site","interactions":[],"lastModifiedDate":"2021-10-12T20:34:33.499435","indexId":"ofr20101112","displayToPublicDate":"2010-08-03T00:00:00","publicationYear":"2010","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":"2010-1112","title":"Evaluating the feasibility of modeling the subsurface structure of two volcanic units in drill holes UE-18r and ER-EC-2a using existing magnetic data, Nevada Test Site","docAbstract":"The magnetic properties of two volcanic units encountered in two drill holes, ER-EC-2a and UE18r, located in the vicinity of the Nevada Test Site, were investigated to determine if the units were significantly more magnetic than overlying units and, thus, detectable by using aeromagnetic data. Magnetic-susceptibility measurements were made on cuttings from the drill holes and were combined with published data on remanent magnetism to generate two-dimensional magnetic models, based on an interpreted geologic cross-section. The resulting magnetic anomaly calculated from the models was compared with the observed aeromagnetic anomaly and was found to differ significantly from it. Furthermore, the calculated magnetic anomalies were found to be relatively insensitive to changes in the two units of interest.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101112","usgsCitation":"Phelps, G.A., 2010, Evaluating the feasibility of modeling the subsurface structure of two volcanic units in drill holes UE-18r and ER-EC-2a using existing magnetic data, Nevada Test Site: U.S. Geological Survey Open-File Report 2010-1112, iii, 35 p., https://doi.org/10.3133/ofr20101112.","productDescription":"iii, 35 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":671,"text":"Western Region Geology and Geophysics Science Center","active":false,"usgs":true}],"links":[{"id":116040,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1112.jpg"},{"id":390443,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93796.htm"},{"id":13951,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1112/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Nevada","otherGeospatial":"Nevada Test Site","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.6583,\n              37.0803\n            ],\n            [\n              -116.325,\n              37.0803\n            ],\n            [\n              -116.325,\n              37.2486\n            ],\n            [\n              -116.6583,\n              37.2486\n            ],\n            [\n              -116.6583,\n              37.0803\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a05e4b07f02db5f871b","contributors":{"authors":[{"text":"Phelps, G. A.","contributorId":67107,"corporation":false,"usgs":true,"family":"Phelps","given":"G.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":305725,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":98555,"text":"sim1309 - 2010 - Surficial geologic map of the Amboy 30' x 60' quadrangle, San Bernardino County, California","interactions":[],"lastModifiedDate":"2012-02-10T00:11:56","indexId":"sim1309","displayToPublicDate":"2010-08-03T00:00:00","publicationYear":"2010","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":"1309","title":"Surficial geologic map of the Amboy 30' x 60' quadrangle, San Bernardino County, California","docAbstract":"The surficial geologic map of the Amboy 30' x 60' quadrangle presents characteristics of surficial materials for an area of approximately 5,000 km2 in the eastern Mojave Desert of southern California. This map consists of new surficial mapping conducted between 2000 and 2007, as well as compilations from previous surficial mapping. Surficial geologic units are mapped and described based on depositional process and age categories that reflect the mode of deposition, pedogenic effects following deposition, and, where appropriate, the lithologic nature of the material. Many physical properties were noted and measured during the geologic mapping. This information was used to classify surficial deposits and to understand their ecological importance. We focus on physical properties that drive hydrologic, biologic, and physical processes such as particle-size distribution (PSD) and bulk density. The database contains point data representing locations of samples for both laboratory determined physical properties and semiquantitative field-based information in the database. We include the locations of all field observations and note the type of information collected in the field to help assist in assessing the quality of the mapping. The publication is separated into three parts: documentation, spatial data, and printable map graphics of the database. Documentation includes this pamphlet, which provides a discussion of the surficial geology and units and the map. Spatial data are distributed as ArcGIS Geodatabase in Microsoft Access format and are accompanied by a readme file, which describes the database contents, and FGDC metadata for the spatial map information. Map graphics files are distributed as Postscript and Adobe Portable Document Format (PDF) files that provide a view of the spatial database at the mapped scale. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sim1309","usgsCitation":"Bedford, D., Miller, D., and Phelps, G., 2010, Surficial geologic map of the Amboy 30' x 60' quadrangle, San Bernardino County, California: U.S. Geological Survey Scientific Investigations Map 1309, Pamphlet: iv, 26 p.; Map Sheet: 56.00 x 30.00 inches; Readme TXT; Metadata TXT; Data Zip, https://doi.org/10.3133/sim1309.","productDescription":"Pamphlet: iv, 26 p.; Map Sheet: 56.00 x 30.00 inches; Readme TXT; Metadata TXT; Data Zip","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":671,"text":"Western Region Geology and Geophysics Science Center","active":false,"usgs":true}],"links":[{"id":199589,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13950,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3109/","linkFileType":{"id":5,"text":"html"}}],"scale":"1","projection":"Universal Transverse Mercator","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116,34.5 ], [ -116,35 ], [ -115,35 ], [ -115,34.5 ], [ -116,34.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae3e4b07f02db68906d","contributors":{"authors":[{"text":"Bedford, David R.","contributorId":26352,"corporation":false,"usgs":true,"family":"Bedford","given":"David R.","affiliations":[],"preferred":false,"id":305724,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":1707,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":305722,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Phelps, Geoffrey A.","contributorId":17262,"corporation":false,"usgs":true,"family":"Phelps","given":"Geoffrey A.","affiliations":[],"preferred":false,"id":305723,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98553,"text":"sir20105070A - 2010 - A deposit model for Mississippi Valley-Type lead-zinc ores","interactions":[],"lastModifiedDate":"2022-02-10T20:54:08.896952","indexId":"sir20105070A","displayToPublicDate":"2010-08-03T00:00:00","publicationYear":"2010","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":"2010-5070","chapter":"A","title":"A deposit model for Mississippi Valley-Type lead-zinc ores","docAbstract":"<p>This report is a descriptive model of Mississippi Valley-Type (MVT) lead-zinc deposits that presents their geological, mineralogical and geochemical attributes and is part of an effort by the U.S. Geological Survey Mineral Resources Program to update existing models and develop new models that will be used for an upcoming national mineral resource assessment. This deposit modeling effort by the USGS is intended to supplement previously published models for use in mineral-resource and mineral-environmental assessments. Included in this report are geological, geophysical and geochemical assessment guides to assist in mineral resource estimation. The deposit attributes, including grade and tonnage of the deposits described in this report are based on a new mineral deposits data set of all known MVT deposits in the world.</p>\n<p>Mississippi Valley-Type (MVT) lead-zinc deposits are found throughout the world but the largest, and more intensely researched deposits occur in North America. The ores consist mainly of sphalerite, galena, and generally lesser amounts of iron sulfides. Silver is commonly an important commodity, whereas Cu is generally low, but is economically important in some deposits. Gangue minerals may include carbonates (dolomite, siderite, ankerite, calcite), and typically minor barite. Silicification of the host rocks (or quartz gangue) is generally minor, but may be abundant in a few deposits. The deposits have a broad range of relationships with their host rocks that includes stratabound, and discordant ores; in some deposits, stratiform and vein ore are important.</p>\n<p>The most important characteristics of MVT ore deposits are that they are hosted mainly by dolostone and limestone in platform carbonate sequences and usually located at flanks of basins, orogenic forelands, or foreland thrust belts inboard of the clastic rock-dominated passive margin sequences. They have no spatial or temporal relation to igneous rocks, which distinguishes them from skarn or other intrusive rock-related Pb-Zn ores. Abundant evidence has shown that the ore fluids were derived mainly from evaporated seawater and were driven within platform carbonates by large-scale tectonic events.</p>\n<p>MVT deposits formed mainly during the Phanerozoic with more than 80 percent of the deposits hosted in Phanerozoic rocks and less than 20 percent in Precambrian rocks. Phanerozoic-hosted MVT deposits also account for 94 percent of total MVT ore, and 93 percent of total MVT lead and zinc metal. Many MVT deposits formed during Devonian to Permian time, corresponding to a series of intense tectonic events during assimilation of Pangea. The second most important period for MVT deposit genesis was Cretaceous to Tertiary time when microplate assimilation affected the western margin of North America and Africa-Eurasia.</p>\n<p>Many subtypes or alternative classifications have been applied to MVT deposits. These alternative classifications reflect geographic and or specific geological features that some workers believe set them apart as unique (for example, Appalachian-, Alpine-, Reocin-, Irish-, Viburnum trend-types). However, we do not consider these alternative classifications or sub-types to be sufficiently different to warrant using them.</p>\n<p>This report also describes the geoenvironmental characteristic of MVT deposits. The response of MVT ores in the supergene environment is buffered by their placement in carbonate host rocks which commonly results in near-neutral associated drainage water. The geoenvironmental features and anthropogenic mining effects presented in this report illustrates this important environmental aspect of MVT deposits which separates them from other deposit types (especially coal, VHMS, Cu-porphyry, SEDEX, acid-sulfate polymetallic vein).</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Mineral deposit models for resource assessment (Scientific Investigations Report 2010-5070)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105070A","usgsCitation":"Leach, D.L., Taylor, R.D., Fey, D.L., Diehl, S.F., and Saltus, R.W., 2010, A deposit model for Mississippi Valley-Type lead-zinc ores: U.S. Geological Survey Scientific Investigations Report 2010-5070, viii, 43 p., https://doi.org/10.3133/sir20105070A.","productDescription":"viii, 43 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":311537,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2010/5070/a/pdf/SIR10-5070A.pdf","text":"Report","size":"6.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":116033,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5070_a.jpg"},{"id":13948,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5070/a/","linkFileType":{"id":5,"text":"html"}},{"id":395810,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93789.htm"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b25e4b07f02db6aede5","contributors":{"authors":[{"text":"Leach, David L.","contributorId":83902,"corporation":false,"usgs":true,"family":"Leach","given":"David","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":305720,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, Ryan D. 0000-0002-8845-5290 rtaylor@usgs.gov","orcid":"https://orcid.org/0000-0002-8845-5290","contributorId":3412,"corporation":false,"usgs":true,"family":"Taylor","given":"Ryan","email":"rtaylor@usgs.gov","middleInitial":"D.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":305719,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fey, David L. dfey@usgs.gov","contributorId":713,"corporation":false,"usgs":true,"family":"Fey","given":"David","email":"dfey@usgs.gov","middleInitial":"L.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":305716,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Diehl, Sharon F. diehl@usgs.gov","contributorId":1089,"corporation":false,"usgs":true,"family":"Diehl","given":"Sharon","email":"diehl@usgs.gov","middleInitial":"F.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":305718,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Saltus, Richard W. saltus@usgs.gov","contributorId":777,"corporation":false,"usgs":true,"family":"Saltus","given":"Richard","email":"saltus@usgs.gov","middleInitial":"W.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":305717,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":98554,"text":"cir1351 - 2010 - Protocols for geologic hazards response by the Yellowstone Volcano Observatory to activity within the Yellowstone Volcanic System","interactions":[],"lastModifiedDate":"2025-08-14T19:14:33.253513","indexId":"cir1351","displayToPublicDate":"2010-08-03T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1351","displayTitle":"Protocols for Geological Hazards Response by the Yellowstone Volcano Observatory to Activity within the Yellowstone Volcanic System","title":"Protocols for geologic hazards response by the Yellowstone Volcano Observatory to activity within the Yellowstone Volcanic System","docAbstract":"<h1>Executive Summary</h1><p>The Yellowstone Plateau hosts an active volcanic system, with subterranean magma (molten rock), boiling, pressurized waters, and a variety of active faults with significant earthquake hazards. Within the next few decades, light-to-moderate earthquakes and steam explosions are certain to occur. Volcanic eruptions are less likely, but are ultimately inevitable in this active volcanic region. This document summarizes protocols, policies, and tools to be used by the Yellowstone Volcano Observatory (YVO) during earthquakes, hydrothermal explosions, or any geologic activity that could lead to a volcanic eruption.</p><p>Yellowstone National Park is home to Yellowstone Caldera, the largest volcanic system by volume in the United States, as well as a vigorous hydrothermal system composed of pressurized subsurface boiling waters and active faults capable of generating substantial seismicity. The region is subject to hazards spanning a wide range of intensities, magnitudes, likelihood of occurrence, and geographic extent of impact. These hazards include small and comparatively common hydrothermal explosions, occasional strong earthquakes, rare relatively non-explosive lava flows, and very rare large explosive volcanic eruptions. Addressing the broad style of potential hazards and the vast spatial and temporal scales over which these hazards can occur requires a general plan that outlines the Yellowstone Volcano Observatory (YVO) response to a hazardous or potentially hazardous geological event or unrest (defined as departure from normal activity levels).</p><p>The U.S. Geological Survey (USGS) Volcano Science Center (VSC) Response Plan for Significant Volcanic Events in the United States (Moran and others, 2024) forms the basis of any response by YVO but will be modified to suit the specific characteristics of the observatory, which operates as a consortium of nine federal, state, and academic institutions. Decisions on declaring an event response or “activity with potential” (defined as unrest that is not immediately hazardous but that may evolve into a hazardous event), as well as any changes in Volcano Alert Level and Aviation Color Code or the release of formal Information Statements, will be made by the USGS via the YVO Scientist-in-Charge (SIC) in consultation with the leads of the YVO member agencies.</p><p>The YVO response to hazardous or potentially hazardous geological activity in or around Yellowstone National Park will focus on the collection and analysis of data relevant to the location and style of the activity. Those data will be interpreted within the existing geological framework for the region to develop probabilistic assessments of potential outcomes. These interpretations and assessments will be used to support decision making by emergency management officials including Yellowstone National Park managers or within the National Incident Management System if an Incident Command System (ICS) is activated. YVO will also convene a communications group open to each member agency to ensure consistent internal and external messaging and that the public is kept informed of the unrest through formal notifications, social media posts, online content, traditional media interviews, and community meetings.</p><p>This response plan will be evaluated and updated as needed by the observatory and will be available through the YVO and USGS public websites. Responses to volcanic eruptions and responses outside of the Yellowstone region, but within the YVO area of responsibility (including Arizona, Utah, New Mexico, and Colorado), will follow the U.S. Geological Survey Volcano Science Center Response Plan for Significant Volcanic Events in the United States (Moran and others, 2024).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1351","collaboration":"Prepared in cooperation with Yellowstone National Park, University of Utah, EarthScope Consortium, University of Wyoming, Montana Bureau of Mines and Geology, Idaho Geological Survey, Wyoming State Geological Survey, and Montana State University","usgsCitation":"Yellowstone Volcano Observatory, 2025, Protocols for geological hazards response by the Yellowstone Volcano Observatory to activity within the Yellowstone Volcanic System (ver. 3.0, January 2025): U.S. Geological Survey Circular 1351, 32 p., https://doi.org/10.3133/cir1351.","productDescription":"v, 32 p.","numberOfPages":"32","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-144015","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":494129,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93794.htm","linkFileType":{"id":5,"text":"html"}},{"id":489490,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1351/cir1351.pdf","text":"Report","size":"16.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"CIR 1351 PDF"},{"id":489514,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/circ/1351/versionHist.txt","linkFileType":{"id":2,"text":"txt"},"description":"Version History"},{"id":490279,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/circ/1351/downloads/circ1351_v2.pdf","text":"Ver. 2.0 [Superseded]","size":"3.66 MB","linkFileType":{"id":1,"text":"pdf"},"description":"CIR 1351 ver. 2.0"},{"id":490280,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/circ/1351/downloads/c1351.pdf","text":"Ver. 1.0 [Superseded]","size":"3.96 MB","linkFileType":{"id":1,"text":"pdf"},"description":"CIR 1351 ver. 1.0"},{"id":296524,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1351/coverthb2.jpg"},{"id":490268,"rank":4,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1351/index.html","text":"USGS Index Page","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112,44 ], [ -112,45 ], [ -110,45 ], [ -110,44 ], [ -112,44 ] ] ] } } ] }","edition":"Version 1.0: July 29, 2010; Version 2.0: November 5, 2014; Version 3.0: June 3, 2025","contact":"<p><a href=\"https://www.usgs.gov/observatories/yvo\" data-mce-href=\"https://www.usgs.gov/observatories/yvo\">Yellowstone Volcano Observatory</a><br>U.S. Geological Survey<br>1300 SE Cardinal Court, Suite 100<br>Vancouver, WA 98683</p><p>Email: <a href=\"mailto:yvowebteam@usgs.gov\" data-mce-href=\"mailto:yvowebteam@usgs.gov\">yvowebteam@usgs.gov</a></p>","tableOfContents":"<ul><li>Executive Summary</li><li>Introduction and Scope</li><li>Monitoring Strategy</li><li>Geological Unrest, Volcano Alert Levels and Aviation Color Codes, Information Products, and the Incident Command System</li><li>Volcano Alert Notification Scheme and Decision Criteria</li><li>Responding to Hazardous Events and Activity with Potential in the Yellowstone Region</li><li>Communications Strategy</li><li>Example Scenarios</li><li>Summary and Protocols for Updating this Plan</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2010-07-29","revisedDate":"2025-06-03","noUsgsAuthors":false,"publicationDate":"2010-07-29","publicationStatus":"PW","scienceBaseUri":"4f4e4afce4b07f02db696590","contributors":{"authors":[{"text":"Yellowstone Volcano Observatory","contributorId":127797,"corporation":true,"usgs":false,"organization":"Yellowstone Volcano Observatory","id":526812,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70236420,"text":"70236420 - 2010 - Modeling the effects of wave climate and sediment supply variability on large-scale shoreline change","interactions":[],"lastModifiedDate":"2022-09-06T16:54:31.641672","indexId":"70236420","displayToPublicDate":"2010-08-01T11:32:36","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Modeling the effects of wave climate and sediment supply variability on large-scale shoreline change","docAbstract":"<p>The application of an integrated data analysis and modeling scheme reveals that decadal-scale shoreline evolution along a U.S. Pacific Northwest littoral cell is highly dependent on both sediment supply and wave climate variability. In particular, accurate estimates of (Columbia River) sediment supply and sediment feeding from the lower shoreface are critical components of balancing the barrier beach sediment budget and are therefore essential to making sensible shoreline change hindcasts and forecasts. A simple deterministic one-line shoreline change model, applied in a quasi-probabilistic manner, enables evaluation of the influence of sediment supply and wave climate variability through simulation of historical shoreline change. Through iteration, a range of realistic scenarios are developed to constrain decadal-scale shoreline change predictions. Modeled shoreline changes are significantly sensitive to directional changes in the incident waves, and therefore sensitive to the occurrence of interannual climatic fluctuations such as major El Niño events. A predicted increase in the intensity of the east Pacific wave climate (1.0 m increase in significant wave height in 20 yr) affects forecast shoreline positions only when this increase occurs during the winter storm season. However, the effect of this increase in storm power during any given year is small relative to the impact of major El Niño events. The model has significant skill in decadal-scale hindcasts suggesting that alongshore gradients in sediment transport dominate coastal change at this scale at this site. However, both data and model results suggest that net onshore feeding from the lower shoreface is responsible for approximately 20% of the decadal-scale coastal change. Field measurements and poor model skill at annual scale indicate that cross-shore processes likely dominate coastal change at shorter time scales.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2010.02.008","usgsCitation":"Ruggiero, P., Buijsman, M.C., Kaminsky, G.M., and Gelfenbaum, G.R., 2010, Modeling the effects of wave climate and sediment supply variability on large-scale shoreline change: Marine Geology, v. 273, no. 1-4, p. 127-140, https://doi.org/10.1016/j.margeo.2010.02.008.","productDescription":"14 p.","startPage":"127","endPage":"140","costCenters":[],"links":[{"id":406244,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Columbia River, Grays Harbor, Willapa Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.26635742187501,\n              47.12995075666307\n            ],\n            [\n              -124.03564453125,\n              45.72152152227954\n            ],\n            [\n              -122.89306640624999,\n              45.82879925192134\n            ],\n            [\n              -122.98095703125,\n              47.03269459852135\n            ],\n            [\n              -124.26635742187501,\n              47.12995075666307\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"273","issue":"1-4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ruggiero, Peter","contributorId":15709,"corporation":false,"usgs":false,"family":"Ruggiero","given":"Peter","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":850944,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buijsman, Maarten C.","contributorId":76340,"corporation":false,"usgs":true,"family":"Buijsman","given":"Maarten","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":850945,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kaminsky, George M.","contributorId":83150,"corporation":false,"usgs":true,"family":"Kaminsky","given":"George","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":850946,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gelfenbaum, Guy R. 0000-0003-1291-6107 ggelfenbaum@usgs.gov","orcid":"https://orcid.org/0000-0003-1291-6107","contributorId":742,"corporation":false,"usgs":true,"family":"Gelfenbaum","given":"Guy","email":"ggelfenbaum@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":850947,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70003621,"text":"70003621 - 2010 - Ecological models supporting environmental decision making: A strategy for the future","interactions":[],"lastModifiedDate":"2021-02-22T13:07:04.578596","indexId":"70003621","displayToPublicDate":"2010-08-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3653,"text":"Trends in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Ecological models supporting environmental decision making: A strategy for the future","docAbstract":"<p><span>Ecological models are important for environmental decision support because they allow the consequences of alternative policies and management scenarios to be explored. However, current modeling practice is unsatisfactory. A literature review shows that the elements of good modeling practice have long been identified but are widely ignored. The reasons for this might include lack of involvement of decision makers, lack of incentives for modelers to follow good practice, and the use of inconsistent terminologies. As a strategy for the future, we propose a standard format for documenting models and their analyses: transparent and comprehensive ecological modeling (TRACE) documentation. This standard format will disclose all parts of the modeling process to scrutiny and make modeling itself more efficient and coherent.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.tree.2010.05.001","usgsCitation":"Schmolke, A., Thorbek, P., DeAngelis, D., and Grimm, V., 2010, Ecological models supporting environmental decision making: A strategy for the future: Trends in Ecology and Evolution, v. 25, no. 8, p. 479-486, https://doi.org/10.1016/j.tree.2010.05.001.","productDescription":"8 p.","startPage":"479","endPage":"486","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":383392,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4ee4b07f02db627b7c","contributors":{"authors":[{"text":"Schmolke, Amelie","contributorId":96403,"corporation":false,"usgs":true,"family":"Schmolke","given":"Amelie","email":"","affiliations":[],"preferred":false,"id":347985,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thorbek, Pernille","contributorId":35058,"corporation":false,"usgs":true,"family":"Thorbek","given":"Pernille","email":"","affiliations":[],"preferred":false,"id":347982,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":88015,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald L.","affiliations":[],"preferred":false,"id":347983,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grimm, Volker","contributorId":89656,"corporation":false,"usgs":true,"family":"Grimm","given":"Volker","email":"","affiliations":[],"preferred":false,"id":347984,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70043175,"text":"70043175 - 2010 - Detecting Ecosystem Performance Anomalies for Land Management in the Upper Colorado River Basin Using Satellite Observations, Climate Data, and Ecosystem Models","interactions":[],"lastModifiedDate":"2013-02-14T14:24:43","indexId":"70043175","displayToPublicDate":"2010-08-01T00:00:00","publicationYear":"2010","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":"Detecting Ecosystem Performance Anomalies for Land Management in the Upper Colorado River Basin Using Satellite Observations, Climate Data, and Ecosystem Models","docAbstract":"This study identifies areas with ecosystem performance anomalies (EPA) within the Upper Colorado River Basin (UCRB) during 2005–2007 using satellite observations, climate data, and ecosystem models. The final EPA maps with 250-m spatial resolution were categorized as normal performance, underperformance, and overperformance (observed performance relative to weather-based predictions) at the 90% level of confidence. The EPA maps were validated using “percentage of bare soil” ground observations. The validation results at locations with comparable site potential showed that regions identified as persistently underperforming (overperforming) tended to have a higher (lower) percentage of bare soil, suggesting that our preliminary EPA maps are reliable and agree with ground-based observations. The 3-year (2005–2007) persistent EPA map from this study provides the first quantitative evaluation of ecosystem performance anomalies within the UCRB and will help the Bureau of Land Management (BLM) identify potentially degraded lands. Results from this study can be used as a prototype by BLM and other land managers for making optimal land management decisions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"MDPI","doi":"10.3390/rs2081880","usgsCitation":"Gu, Y., and Wylie, B.K., 2010, Detecting Ecosystem Performance Anomalies for Land Management in the Upper Colorado River Basin Using Satellite Observations, Climate Data, and Ecosystem Models: Remote Sensing, v. 2, no. 8, p. 1880-1891, https://doi.org/10.3390/rs2081880.","startPage":"1880","endPage":"1891","ipdsId":"IP-021971","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":475680,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs2081880","text":"Publisher Index Page"},{"id":267415,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":267414,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3390/rs2081880"}],"country":"United States","volume":"2","issue":"8","noUsgsAuthors":false,"publicationDate":"2010-07-29","publicationStatus":"PW","scienceBaseUri":"511e1583e4b071e86a19a439","contributors":{"authors":[{"text":"Gu, Yingxin 0000-0002-3544-1856 ygu@usgs.gov","orcid":"https://orcid.org/0000-0002-3544-1856","contributorId":409,"corporation":false,"usgs":true,"family":"Gu","given":"Yingxin","email":"ygu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":473105,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":473106,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70200865,"text":"70200865 - 2010 - The thermal signature of volcanic eruptions on Io and Earth,","interactions":[],"lastModifiedDate":"2018-11-07T16:46:30","indexId":"70200865","displayToPublicDate":"2010-07-30T16:45:38","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"The thermal signature of volcanic eruptions on Io and Earth,","docAbstract":"<p><span>We investigate a spectrum-based technique to identify the style of active volcanic eruptions on Jupiter's moon Io. Thermal remote sensing of Io has had to rely primarily on low-spatial-resolution data, similar to low-spatial-resolution&nbsp;satellite data applied to detecting and charting the&nbsp;temporal evolution&nbsp;of terrestrial hot spots. These terrestrial analyses use data from sensors designed to monitor the weather and&nbsp;sea surface temperature. On Io, such low-spatial-resolution data are used to classify eruption styles (modes of emplacement) by means of several criteria related to the temporal evolution of the&nbsp;infrared spectrum&nbsp;associated with the eruptive activity at each hot spot, which we term “thermal signature.” We find that the ratio of the emission at 2 and 5</span><span>&nbsp;</span><span>µm, and how this ratio changes with time, is often diagnostic of eruption style, even in low-spatial-resolution data. Tests using thermal data for terrestrial “ground truth” cases show that our classification system is valid on Earth. The results of our analysis can be used to aid in the design of future space-based instruments that can be used for volcano monitoring on Io, as well as Earth.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2010.04.009","usgsCitation":"Davies, A., Keszthelyi, L., and Harris, A.J., 2010, The thermal signature of volcanic eruptions on Io and Earth,: Journal of Volcanology and Geothermal Research, v. 194, no. 4, p. 75-99, https://doi.org/10.1016/j.jvolgeores.2010.04.009.","productDescription":"25 p.","startPage":"75","endPage":"99","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":359287,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"194","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5be40825e4b0b3fc5cf7cc12","contributors":{"authors":[{"text":"Davies, Ashley G.","contributorId":36827,"corporation":false,"usgs":true,"family":"Davies","given":"Ashley G.","affiliations":[],"preferred":false,"id":750974,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keszthelyi, Laszlo P. 0000-0003-1879-4331 laz@usgs.gov","orcid":"https://orcid.org/0000-0003-1879-4331","contributorId":52802,"corporation":false,"usgs":true,"family":"Keszthelyi","given":"Laszlo P.","email":"laz@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":750975,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harris, Andrew J. L.","contributorId":169434,"corporation":false,"usgs":false,"family":"Harris","given":"Andrew","email":"","middleInitial":"J. L.","affiliations":[],"preferred":false,"id":750976,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70230189,"text":"70230189 - 2010 - Global climate changes recorded in coastal wetland sediments: Empirical observations linked to theoretical predictions","interactions":[],"lastModifiedDate":"2022-04-04T14:34:11.92354","indexId":"70230189","displayToPublicDate":"2010-07-30T09:29:46","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Global climate changes recorded in coastal wetland sediments: Empirical observations linked to theoretical predictions","docAbstract":"<p><span>Whether coastal areas are experiencing, and responding to, an accelerated rate of global sea-level rise (GSLR) is critically important for the ∼2 billion people living near Earth's oceans. Accretion rates from a suite of physiographically diverse coastal wetlands surrounding Long Island, NY accelerated during the 20th century at 2.3 ± 0.2 × 10</span><sup>−2</sup><span>&nbsp;mm yr</span><sup>−2</sup><span>, which is comparable to reported rates of GSLR acceleration and global temperature changes. Wetlands varied in tidal range, salinity and geomorphic setting, and were located in embayments with limited human impacts in a region with limited and constant rates of subsidence. From geochronologies with temporal resolutions of 2–5 yr, we constructed new composite histories of sediment accretion and mineral deposition. Wetland dynamics are consistent with predictions from sedimentology and a numerical model of ecogeomorphic response, suggesting that these systems, and likely others worldwide, are responding to accelerated GSLR and related climatic changes.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2010GL043874","usgsCitation":"Kolker, A.S., Kirwan, M., Goodbred, S.L., and Cochran, J.K., 2010, Global climate changes recorded in coastal wetland sediments: Empirical observations linked to theoretical predictions: Geophysical Research Letters, v. 37, L14706, 5 p., https://doi.org/10.1029/2010GL043874.","productDescription":"L14706, 5 p.","costCenters":[],"links":[{"id":475682,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010gl043874","text":"Publisher Index Page"},{"id":398009,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Long Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -72.4658203125,\n              40.84706035607122\n            ],\n            [\n              -72.6470947265625,\n              40.98819156349393\n            ],\n            [\n              -73.685302734375,\n              40.9218144123785\n            ],\n            [\n              -74.02587890625,\n              40.730608477796636\n            ],\n            [\n              -74.0753173828125,\n              40.5930995321649\n            ],\n            [\n              -73.85009765625,\n              40.51797520038851\n            ],\n            [\n              -73.5150146484375,\n              40.56806745430726\n            ],\n            [\n              -73.14697265625,\n              40.60561205826018\n            ],\n            [\n              -72.4658203125,\n              40.84706035607122\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"37","noUsgsAuthors":false,"publicationDate":"2010-07-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Kolker, Alexander S.","contributorId":213409,"corporation":false,"usgs":false,"family":"Kolker","given":"Alexander","email":"","middleInitial":"S.","affiliations":[{"id":38749,"text":"Tulane University; Louisiana Universities Marine Consortium","active":true,"usgs":false}],"preferred":false,"id":839421,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kirwan, Matthew L. 0000-0002-0658-3038","orcid":"https://orcid.org/0000-0002-0658-3038","contributorId":84060,"corporation":false,"usgs":true,"family":"Kirwan","given":"Matthew L.","affiliations":[],"preferred":false,"id":839422,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goodbred, Steven L. sgoodbred@usgs.gov","contributorId":497,"corporation":false,"usgs":true,"family":"Goodbred","given":"Steven","email":"sgoodbred@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":839423,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cochran, J. 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,{"id":70159150,"text":"70159150 - 2010 - Use of EO-1 Hyperion data to calculate spectral band adjustment factors (SBAF) between the L7 ETM+ and Terra MODIS sensors","interactions":[],"lastModifiedDate":"2017-05-10T15:50:14","indexId":"70159150","displayToPublicDate":"2010-07-30T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Use of EO-1 Hyperion data to calculate spectral band adjustment factors (SBAF) between the L7 ETM+ and Terra MODIS sensors","docAbstract":"<p><span>Different applications and technology developments in Earth observations necessarily require different spectral coverage. Thus, even for the spectral bands designed to look at the same region of the electromagnetic spectrum, the relative spectral responses (RSR) of different sensors may be different. In this study, spectral band adjustment factors (SBAF) are derived using hyperspectral Earth Observing-1 (EO-1) Hyperion measurements to adjust for the spectral band differences between the Landsat 7 (L7) Enhanced Thematic Mapper Plus (ETM+) and the Terra Moderate Resolution Imaging Spectroradiometer (MODIS) top-of-atmosphere (TOA) reflectance measurements from 2000 to 2009 over the pseudo-invariant Libya 4 reference standard test site.</span></p>","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2010 : 25 - 30 July 2010, Honolulu, Hawaii, USA","conferenceTitle":"2010 IEEE International Geoscience and Remote Sensing Symposium","conferenceDate":"July 25-30, 2010","conferenceLocation":"Piscataway, N.J.","language":"English","publisher":"Institute of Electrical and Electronics Engineers (IEEE)","doi":"10.1109/IGARSS.2010.5652746","usgsCitation":"Chander, G., Mishra, N., Helder, D.L., Aaron, D., Choi, T., Angal, A., and Xiong, X., 2010, Use of EO-1 Hyperion data to calculate spectral band adjustment factors (SBAF) between the L7 ETM+ and Terra MODIS sensors, <i>in</i> IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2010 : 25 - 30 July 2010, Honolulu, Hawaii, USA, Piscataway, N.J., July 25-30, 2010, p. 1667-1670, https://doi.org/10.1109/IGARSS.2010.5652746.","productDescription":"4 p,","startPage":"1667","endPage":"1670","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-022546","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":309971,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5620cec6e4b06217fc478b3d","contributors":{"authors":[{"text":"Chander, Gyanesh gchander@usgs.gov","contributorId":3013,"corporation":false,"usgs":true,"family":"Chander","given":"Gyanesh","email":"gchander@usgs.gov","affiliations":[],"preferred":true,"id":577709,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mishra, N.","contributorId":67379,"corporation":false,"usgs":true,"family":"Mishra","given":"N.","email":"","affiliations":[],"preferred":false,"id":577710,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Helder, Dennis L.","contributorId":105613,"corporation":false,"usgs":true,"family":"Helder","given":"Dennis","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":577711,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aaron, David","contributorId":83809,"corporation":false,"usgs":false,"family":"Aaron","given":"David","email":"","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":577712,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Choi, T.","contributorId":48698,"corporation":false,"usgs":true,"family":"Choi","given":"T.","affiliations":[],"preferred":false,"id":577713,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Angal, A.","contributorId":52716,"corporation":false,"usgs":true,"family":"Angal","given":"A.","affiliations":[],"preferred":false,"id":577714,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Xiong, X.","contributorId":37885,"corporation":false,"usgs":true,"family":"Xiong","given":"X.","affiliations":[],"preferred":false,"id":577715,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70157297,"text":"70157297 - 2010 - The use of the Sonoran Desert as a pseudo-invariant site for optical sensor cross-calibration and long-term stability monitoring","interactions":[],"lastModifiedDate":"2017-04-25T16:32:13","indexId":"70157297","displayToPublicDate":"2010-07-30T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"The use of the Sonoran Desert as a pseudo-invariant site for optical sensor cross-calibration and long-term stability monitoring","docAbstract":"<p><span>The Sonoran Desert is a large, flat, pseudo-invariant site near the United States-Mexico border. It is one of the largest and hottest deserts in North America, with an area of 311,000 square km. This site is particularly suitable for calibration purposes because of its high spatial and spectral uniformity and reasonable temporal stability. This study uses measurements from four different sensors, Terra Moderate Resolution Imaging Spectroradiometer (MODIS), Landsat 7 (L7) Enhanced Thematic Mapper Plus (ETM+), Aqua MODIS, and Landsat 5 (L5) Thematic Mapper (TM), to assess the suitability of this site for long-term stability monitoring and to evaluate the &ldquo;radiometric calibration differences&rdquo; between spectrally matching bands of all four sensors. In general, the drift in the top-of-atmosphere (TOA) reflectance of each sensor over a span of nine years is within the specified calibration uncertainties. Monthly precipitation measurements of the Sonoran Desert region were obtained from the Global Historical Climatology Network (GHCN), and their effects on the retrieved TOA reflectances were evaluated. To account for the combined uncertainties in the TOA reflectance due to the surface and atmospheric Bi-directional Reflectance Distribution Function (BRDF), a semi-empirical BRDF model has been adopted to monitor and reduce the impact of illumination geometry differences on the retrieved TOA reflectances. To evaluate calibration differences between the MODIS and Landsat sensors, correction for spectral response differences using a hyperspectral sensor is also demonstrated.</span></p>","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International","conferenceTitle":"2010 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","conferenceDate":"July 25-30, 2010","conferenceLocation":"Honolulu, Hawaii","language":"English","publisher":"IEEE","doi":"10.1109/IGARSS.2010.5652812","usgsCitation":"Angal, A., Chander, G., Choi, T., Wu, A., and Xiong, X., 2010, The use of the Sonoran Desert as a pseudo-invariant site for optical sensor cross-calibration and long-term stability monitoring, <i>in</i> Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International, Honolulu, Hawaii, July 25-30, 2010, p. 1656-1659, https://doi.org/10.1109/IGARSS.2010.5652812.","productDescription":"4 p.","startPage":"1656","endPage":"1659","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-022547","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":308259,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55fbe44ee4b05d6c4e502913","contributors":{"authors":[{"text":"Angal, A.","contributorId":52716,"corporation":false,"usgs":true,"family":"Angal","given":"A.","affiliations":[],"preferred":false,"id":572620,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chander, Gyanesh gchander@usgs.gov","contributorId":3013,"corporation":false,"usgs":true,"family":"Chander","given":"Gyanesh","email":"gchander@usgs.gov","affiliations":[],"preferred":true,"id":572621,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Choi, Taeyoung","contributorId":146955,"corporation":false,"usgs":false,"family":"Choi","given":"Taeyoung","email":"","affiliations":[],"preferred":false,"id":572622,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wu, Aisheng","contributorId":65362,"corporation":false,"usgs":true,"family":"Wu","given":"Aisheng","email":"","affiliations":[],"preferred":false,"id":572623,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Xiong, Xiaoxiong","contributorId":15088,"corporation":false,"usgs":true,"family":"Xiong","given":"Xiaoxiong","email":"","affiliations":[],"preferred":false,"id":572624,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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