The 13 major south-shore streams in Nassau and Suffolk Counties, Long Island, New York with adequate long-term (1971-97) water-quality records, and 192 south-shore wells with sufficient water-quality data, were selected for analysis of geographic, seasonal, and long-term trends in nitrogen concentration. Annual total nitrogen loads transported to the South Shore Estuary Reserve (SSER) from 11 of these streams were calculated using long-term discharge records. Nitrogen loads from shallow and deep ground water also were calculated using simulated ground-water discharge of 1968-83 hydrologic conditions.
Long-term declines in stream discharge occurred in East Meadow Brook, Bellmore Creek and Massapequa Creek in response to extensive sewering in Nassau County. The smallest longterm annual discharge to the SSER was from the westernmost stream, Pines Brook, which is in an area in which the water table has been lowered by sewers since 1952. The three largest average annual discharges to the SSER were from the Connetquot River, Carlls River, and Carmans River in Suffolk County; the discharges from each of these streams were at least twice those of the other streams considered in this study.
Total nitrogen concentrations in streams show a geographic trend with a general eastward increase in median total nitrogen concentration in Nassau County and a decreasing trend from Massapequa Creek eastward into Suffolk County. Total nitrogen concentrations in streams generally are lowest during summer and highest in winter as a result of seasonal fluctuations in chemical reactions and biological activity. The greatest seasonal difference in median total nitrogen concentration was at Carlls River with values of 3.4 and 4.2 mg/L (milligrams per liter) as N during summer (April through September) and winter (October through March), respectively. Streams affected by the completion of sewer districts show long-term (1971-97) trends of decreasing total nitrogen concentration and streams showing an increase in total nitrogen concentration are in unsewered areas with increased urbanization.
Discharges from shallow ground water (upper glacial aquifer) and deep ground water (upper part of Magothy aquifer) were simulated from a ground-water-flow model calibrated to steadystate (1968-83) conditions. Simulated discharges from shallow-ground-water system in Nassau County were 10,700 Mgal/yr (million gallons per year) or 40,500,000 m3/yr (cubic meters per year), and those from Suffolk County were 52,300 Mgal/yr or 198,000,000 m3/yr. Discharges from deep-ground-water system in Nassau County were 4,900 Mgal/yr or 18,500,000 m3/yr, and those in Suffolk County were 12,700 Mgal/yr or 48,200,000 m3/yr.
Ground-water concentrations of nitrogen decrease with depth and from west to east. The shallow ground water median nitrogen concentration for each county was determined using 1,155 samples collected at 167 shallow wells (125 feet deep or less) within 1 mile of the shore. The deep ground water median nitrate concentration (nitrate represented almost all of the total nitrogen) for each county was determined using 112 samples collected at 25 deep wells (greater than 125 feet deep) within 1 mile of the shore. The median nitrogen concentration for the shallow and median nitrate concentration for the deep ground water in Nassau County were 3.85 and 0.15 mg/L as N, during 1952–97; the corresponding concentrations for Suffolk County were 1.74 and <0.10 (less than 0.10) mg/L as N, during 1952–97.
Nitrogen loads discharged from streams to the SSER for each year during 1972–97 were calculated as the annual total nitrogen concentration multiplied by the annual discharge. These values were calculated only for the seven streams for which sufficient data were available. The largest long-term (1972–97) average annual nitrogen load from Carlls River was 104 ton/yr or 94,300 kg/yr—about twice that of Connetquot River (54 ton/yr or 48,900 kg/yr) and over three times that of Carmans River (33 ton/yr or 29,900 kg/yr). The smallest annual mean nitrogen load was from Pines Brook, which has the lowest annual mean discharge of all streams analyzed.
The nitrogen load carried to the SSER by ground-water discharge in shallow-ground-water system in Nassau and Suffolk Counties was calculated as the simulated discharge for each county multiplied by the respective median nitrogen concentration, and loads from deep-ground-water system were calculated as the simulated discharge for each county multiplied by the respective median nitrate concentration. All discharges were obtained from the U.S. Geological Survey's Long Island ground-water-flow model. The resultant nitrogen loads discharged to the SSER from shallow ground water were 172 ton/yr (156,000 kg/yr) from Nassau County and 380 ton/yr (345,000 kg/yr) from Suffolk County; equaling 552 ton/yr entering the SSER. Those from deep ground water were 3 ton/yr (2,700 kg/yr) from Nassau County and <0.5 ton/yr (480 kg/yr) from Suffolk County; equaling about 3.5 ton/yr entering the SSER.
The sum of both stream loads and groundwater loads results in the total load to the SSER. The largest calculated total nitrogen load entering the SSER from both streams and ground water occurred in 1979 with a total load of 1,260 ton/yr (1,140,000 kg/yr). The smallest calculated nitrogen load entering the SSER occurred in 1995 with a total load of 725 ton/yr (658,000 kg/yr).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/wri024255","collaboration":"Prepared in cooperation with the New York State Department of State","usgsCitation":"Monti, and Scorca, M.P., 2003, Trends in nitrogen concentration and nitrogen loads entering the South Shore Estuary Reserve from streams and ground-water discharge in Nassau and Suffolk counties, Long Island, New York, 1952–97: U.S. Geological Survey Water-Resources Investigations Report 2002-4255, v, 36 p., https://doi.org/10.3133/wri024255.","productDescription":"v, 36 p.","onlineOnly":"N","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":411008,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_54607.htm","linkFileType":{"id":5,"text":"html"}},{"id":3694,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/2002/4255/wri20024255.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"WRI 2002-4255"},{"id":168541,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/2002/4255/coverthb.jpg"}],"country":"United States","state":"New York","county":"Nassau County, Suffolk County","otherGeospatial":"Long Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -72.5,\n 41.875\n ],\n [\n -73.7625,\n 41.875\n ],\n [\n -73.7625,\n 40.5861\n ],\n [\n -72.5,\n 40.5861\n ],\n [\n -72.5,\n 41.875\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Rd
Troy, NY 12180
(518) 285-5695
http://ny.water.usgs.gov/
As part of a national inventory program funded by the National Park Service, we conducted an inventory of marine and estuarine fishes in Glacier Bay National Park and Preserve, Wrangell-St. Elias National Park and Preserve, Sitka National Historical Park, and Klondike Gold Rush National Historical Park in 2001 and 2002. In addition, marine fish data from a previous project that focused on forage fishes and marine predators during 1999 and 2000 in Glacier Bay proper were compiled for this study. Sampling was conducted with modified herring and Isaacs-Kidd midwater trawls, a plumb staff beam trawl, and beach seines. Species lists of relative abundance were generated for nearshore fishes in all parks, and for demersal and pelagic fishes in Glacier Bay National Park and Preserve and Wrangell-St. Elias National Park and Preserve. With a total sampling effort of 531 sets, we captured 100 species in Glacier Bay National Park and Preserve, 31 species in Wrangell-St. Elias National Park and Preserve, 23 species in Sitka National Historical Park, and 11 species in Klondike Gold Rush National Historical Park. We estimated that between 59 and 85 percent of the total marine fish species present were sampled by us in the various habitat-park units. We also combined these data with historical records and prepared an annotated species list of 160 marine and estuarine fishes known to occur in Glacier Bay National Park and Preserve. Shannon-Wiener diversity index and catch per unit effort were used to assess the effects of depth and latitude (distance from tidewater glaciers) on marine fish community ecology in Glacier Bay proper. Our findings suggest that demersal fishes are more abundant and diverse with increased distance from tidewater glaciers, and that pelagic fishes sampled deeper than 50 m are more abundant in areas closer to tidewater glaciers.
This map, compiled photogrammetrically from Viking Orbiter stereo image pairs, is part of a series of topographic maps of areas of special scientific interest on Mars. MTM 500k –15/337E OMKT: Abbreviation for Mars Transverse Mercator; 1:500,000 series; center of sheet latitude 15° S., longitude 337.5° E. in planetocentric coordinate system (this corresponds to –15/022; latitude 15° S., longitude 22.5° W. in planetographic coordinate system); orthophotomosaic (OM) with color coded (K) topographic contours and nomenclature (T) [Greeley and Batson, 1990].
\nThe figure of Mars used for the computation of the map projection is an oblate spheroid (flattening of 1/176.875) with an equatorial radius of 3396.0 km and a polar radius of 3376.8 km (Kirk and others, 2000). The datum (the 0–km contour line) for elevations is defined as the equipotential surface (gravitational plus rotational) whose average value at the equator is equal to the mean radius as determined by Mars Orbiter Laser Altimeter (Smith and others, 2001).
\nThe image base for this map employs Viking Orbiter images from orbit 651. An orthophotomosaic was created on the digital photogrammetric workstation using the DTM compiled from stereo models. Integrated Software for Imagers and Spectrometers (ISIS) (Torson and Becker, 1997) provided the software to project the orthophotomosaic into the Transverse Mercator Projection.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/i2785","collaboration":"Prepared for The National Aeronautics and Space Administration","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2003, Topographic map of the northwest Loire Valles region of Mars MTM 500k -15/337E OMKT: U.S. Geological Survey IMAP 2785, 1 Plate:: 28.00 x 40.00 inches; HTML, https://doi.org/10.3133/i2785.","productDescription":"1 Plate:: 28.00 x 40.00 inches; HTML","additionalOnlineFiles":"Y","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":191702,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":6287,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/imap/2785/","linkFileType":{"id":5,"text":"html"}},{"id":280479,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/imap/2785/pdf/i2785map.pdf"},{"id":280480,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/imap/2785/pdf/i2785map.eps"}],"scale":"502000","projection":"Transverse Mercator Projection","otherGeospatial":"Mars","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a51e4b07f02db629bcc","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":534662,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":47788,"text":"wri024183 - 2003 - Occurrence and transport of cadmium, lead, and zinc in the Spokane River basin, Idaho and Washington, water years 1999-2001","interactions":[],"lastModifiedDate":"2013-11-21T12:58:33","indexId":"wri024183","displayToPublicDate":"2003-05-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2002-4183","title":"Occurrence and transport of cadmium, lead, and zinc in the Spokane River basin, Idaho and Washington, water years 1999-2001","docAbstract":"A water-quality investigation of the Clark\nFork-Pend Oreille and Spokane River Basins began\nin 1997 as part of the U.S. Geological Survey\nNational Water-Quality Assessment Program. As\npart of the investigation, selected streams in the\nSpokane River Basin were sampled for trace metals\nduring water years 1999–2001. These data,\ncombined with data collected as part of a U.S.\nEnvironmental Protection Agency Remedial Investigation/\nFeasibility Study, were used to assess the\noccurrence, loads, and transport of cadmium, lead,\nand zinc at 21 streamflow-gaging stations in the\nSpokane River Basin.\nConcentrations of dissolved and total cadmium,\nlead, and zinc varied widely both at and\namong stations. At most stations, dissolved cadmium\nand zinc composed most of the total concentrations;\ndissolved lead generally composed less\nthan 10 percent of the total lead concentration.\nFrom the South Fork Coeur d’Alene River near\nMullan downstream to the South Fork Coeur\nd’Alene River near Pinehurst, concentrations of\ntrace metals increased 2 to 4 orders of magnitude.\nThe mean flow-weighted concentrations of total\ncadmium, lead, and zinc near Pinehurst for water\nyears 1999–2001 were 5.7, 80, and 810 micrograms\nper liter (\nµg/L), respectively. On the Coeur\nd’Alene River near Harrison, downstream from the\nconfluence of the metal-enriched South Fork and\nthe relatively dilute North Fork Coeur d’Alene\nRiver, the mean flow-weighted concentrations of\ntotal cadmium, lead, and zinc were 1.6, 88, and\n240\nµg/L, respectively. Trace-metal concentrations\nwere smaller in the Spokane River than in the\nCoeur d’Alene River because of dilution and\nretention in Coeur d’Alene Lake. The mean flowweighted\nconcentrations of total cadmium, lead,\nand zinc in the Spokane River near Post Falls were\n0.32, 3.1, and 71\nµg/L, respectively.\nRegression models relating the mass transport,\nor load, of trace metals to changes in stream\ndischarge and time were successful in simulating\nthe variability in trace-metal concentrations and\nloads. The median coefficient of determination for\nthe load models for the 21 stations was largest for\ntotal lead (92 percent) and smallest for dissolved\nand total cadmium (82 percent). Whereas most of\nthe cadmium and zinc loads in the Spokane River\nBasin were derived from the South Fork Coeur\nd’Alene River, most of the lead load was derived\nfrom the Coeur d’Alene River downstream from\nthe confluence of the North and South Forks. Major\ntributary sources of trace metals to the South Fork\nCoeur d’Alene River were Canyon Creek, Ninemile\nCreek, and Government Gulch. These three\ntributaries contributed about 3,000 pounds of cadmium,\n23,000 pounds of lead, and 310,000 pounds\nof zinc annually to the South Fork Coeur d’Alene\nRiver. Erosion and transport of sediment-bound\nlead in the Coeur d’Alene River was the primary\nsource of total lead, accounting for almost\n400,000 pounds annually during water years\n1999–2000. Ground-water discharge in the area of\nthe Bunker Hill Superfund site was a major source\nof zinc in the South Fork Coeur d’Alene River,\ncontributing more than 250,000 pounds per year.\nDuring water years 1999–2000, the average\nannual loads of cadmium, lead, and zinc transported\nfrom the Coeur d’Alene, St. Joe, and St.\nMaries Rivers to Coeur d’Alene Lake were 8,900, 500,000, and 1.4 million pounds, respectively.\nThe Coeur d’Alene River accounted for more than\n99 percent of the total load of each of these three\nmetals entering the lake. About 4,600 pounds of\ncadmium, 44,000 pounds of lead, and 980,000\npounds of zinc were transported from Coeur\nd’Alene Lake into the Spokane River. Between the\nSpokane River near Post Falls, Idaho, and the Spokane\nRiver at Long Lake, Washington, there was\nan annual net loss of about 2,600, 20,000, and\n250,000 pounds of cadmium, lead, and zinc,\nrespectively. About 2,000 pounds of cadmium,\n24,000 pounds of lead, and 730,000 pounds of\nzinc were transported annually downstream from\nLong Lake toward the Columbia River.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/wri024183","usgsCitation":"Clark, G.M., 2003, Occurrence and transport of cadmium, lead, and zinc in the Spokane River basin, Idaho and Washington, water years 1999-2001: U.S. Geological Survey Water-Resources Investigations Report 2002-4183, vi, 37 p., https://doi.org/10.3133/wri024183.","productDescription":"vi, 37 p.","numberOfPages":"45","temporalStart":"1998-10-01","temporalEnd":"2001-09-30","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":262368,"rank":800,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/2002/4183/report.pdf"},{"id":262369,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/2002/4183/report-thumb.jpg"}],"scale":"1000000","country":"United States","state":"Idaho;Washington","county":"Lincoln;Stevens;Spokane;Kootenai;Benewah;Shoshone","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.4334,46.9464 ], [ -118.4334,48.081 ], [ -115.1853,48.081 ], [ -115.1853,46.9464 ], [ -118.4334,46.9464 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afbe4b07f02db6961ff","contributors":{"authors":[{"text":"Clark, Gregory M. gmclark@usgs.gov","contributorId":1377,"corporation":false,"usgs":true,"family":"Clark","given":"Gregory","email":"gmclark@usgs.gov","middleInitial":"M.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":236238,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":47768,"text":"wri024295 - 2003 - Effects of recharge, Upper Floridan aquifer heads, and time scale on simulated ground-water exchange with Lake Starr, a seepage lake in central Florida","interactions":[],"lastModifiedDate":"2012-02-02T00:10:06","indexId":"wri024295","displayToPublicDate":"2003-05-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2002-4295","title":"Effects of recharge, Upper Floridan aquifer heads, and time scale on simulated ground-water exchange with Lake Starr, a seepage lake in central Florida","docAbstract":"Lake Starr and other lakes in the mantled karst terrain of Florida's Central Lake District are surrounded by a conductive surficial aquifer system that receives highly variable recharge from rainfall. In addition, downward leakage from these lakes varies as heads in the underlying Upper Floridan aquifer change seasonally and with pumpage. A saturated three-dimensional finite-difference ground-water flow model was used to simulate the effects of recharge, Upper Floridan aquifer heads, and model time scale on ground-water exchange with Lake Starr. The lake was simulated as an active part of the model using high hydraulic conductivity cells. Simulated ground-water flow was compared to net ground-water flow estimated from a rigorously derived water budget for the 2-year period August 1996-July 1998. \r\n\r\nCalibrating saturated ground-water flow models with monthly stress periods to a monthly lake water budget will result in underpredicting gross inflow to, and leakage from, ridge lakes in Florida. Underprediction of ground-water inflow occurs because recharge stresses and ground-water flow responses during rainy periods are averaged over too long a time period using monthly stress periods. When inflow is underestimated during calibration, leakage also is underestimated because inflow and leakage are correlated if lake stage is maintained over the long term. Underpredicted leakage reduces the implied effect of ground-water withdrawals from the Upper Floridan aquifer on the lake. \r\n\r\nCalibrating the weekly simulation required accounting for transient responses in the water table near the lake that generated the greater range of net ground-water flow values seen in the weekly water budget. Calibrating to the weekly lake water budget also required increasing the value of annual recharge in the nearshore region well above the initial estimate of 35 percent of the rainfall, and increasing the hydraulic conductivity of the deposits around and beneath the lake. \r\n\r\nTo simulate the total ground-water inflow to lakes, saturated-flow models of lake basins need to account for the potential effects of rapid and efficient recharge in the surficial aquifer system closest to the lake. In this part of the basin, the ability to accurately estimate recharge is crucial because the water table is shallowest and the response time between rainfall and recharge is shortest. Use of the one-dimensional LEACHM model to simulate the effects of the unsaturated zone on the timing and magnitude of recharge in the nearshore improved the simulation of peak values of ground-water inflow to Lake Starr. Results of weekly simulations suggest that weekly recharge can approach the majority of weekly rainfall on the nearshore part of the lake basin. However, even though a weekly simulation with higher recharge in the nearshore was able to reproduce the extremes of ground-water exchange with the lake more accurately, it was not consistently better at predicting net ground-water flow within the water budget error than a simulation with lower recharge. The more subtle effects of rainfall and recharge on ground-water inflow to the lake were more difficult to simulate. The use of variably saturated flow modeling, with time scales that are shorter than weekly and finer spatial discretization, is probably necessary to understand these processes. The basin-wide model of Lake Starr had difficulty simulating the full spectrum of ground-water inflows observed in the water budget because of insufficient information about recharge to ground water, and because of practical limits on spatial and temporal discretization in a model at this scale. \r\n\r\nIn contrast, the saturated flow model appeared to successfully simulate the effects of heads in the Upper Floridan aquifer on water levels and ground-water exchange with the lake at both weekly and monthly stress periods. Most of the variability in lake leakage can be explained by the average vertical head difference between the lake and a re","language":"ENGLISH","doi":"10.3133/wri024295","usgsCitation":"Swancar, A., and Lee, T., 2003, Effects of recharge, Upper Floridan aquifer heads, and time scale on simulated ground-water exchange with Lake Starr, a seepage lake in central Florida: U.S. Geological Survey Water-Resources Investigations Report 2002-4295, vi, 53 p. : col. ill., col. maps ; 28 cm., https://doi.org/10.3133/wri024295.","productDescription":"vi, 53 p. : col. ill., col. maps ; 28 cm.","costCenters":[],"links":[{"id":4094,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri024295/","linkFileType":{"id":5,"text":"html"}},{"id":162584,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a29e4b07f02db611921","contributors":{"authors":[{"text":"Swancar, Amy aswancar@usgs.gov","contributorId":450,"corporation":false,"usgs":true,"family":"Swancar","given":"Amy","email":"aswancar@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":236194,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Terrie Mackin","contributorId":49776,"corporation":false,"usgs":true,"family":"Lee","given":"Terrie Mackin","affiliations":[],"preferred":false,"id":236195,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":51451,"text":"ofr03116 - 2003 - Structure of the Tucson Basin, Arizona from gravity and aeromagnetic data","interactions":[],"lastModifiedDate":"2012-02-02T00:11:29","indexId":"ofr03116","displayToPublicDate":"2003-04-01T00:00:00","publicationYear":"2003","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":"2003-116","title":"Structure of the Tucson Basin, Arizona from gravity and aeromagnetic data","docAbstract":"Interpretation of gravity and high-resolution aeromagnetic data reveal the three-dimensional geometry of the Tuscson Basin, Arizona and the lithology of its basement. Limited drill hole and seismic data indicate that the maximum depth to the crystalline basement is approximately 3600 meters and that the sedimentary sequences in the upper ~2000 m of the basin were deposited during the most recent extensional episode that commenced about 13 Ma. The negative density contrasts between these upper Neogene and Quaternary sedimentary sequences and the adjacent country rock produce a Bouguer residual gravity low, whose steep gradients clearly define the lateral extent of the upper ~2000m of the basin. The aeromagnetic maps show large positive anomalies associated with deeply buried, late Cretaceous-early Tertiary and mid-Tertiary igneous rocks at and below the surface of the basin. These magnetic anomalies provide insight into the older (>13 Ma) and deeper structures of the basin. Simultaneous 2.5-dimensional modeling of both gravity and magnetic anomalies constrained by geologic and seismic data delineates the thickness of the basin and the dips of the buried faults that bound the basin. This geologic-based forward modeling approach to using geophysical data is shown to result in more information about the geologic and tectonic history of the basin as well as more accurate depth to basement determinations than using generalized geophysical inversion techniques.","language":"ENGLISH","doi":"10.3133/ofr03116","usgsCitation":"Rystrom, V.L., 2003, Structure of the Tucson Basin, Arizona from gravity and aeromagnetic data (Version 1.0): U.S. Geological Survey Open-File Report 2003-116, 86 p., https://doi.org/10.3133/ofr03116.","productDescription":"86 p.","costCenters":[],"links":[{"id":178574,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":4460,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2003/ofr-03-116/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b06e4b07f02db69a336","contributors":{"authors":[{"text":"Rystrom, Victoria Louise","contributorId":12556,"corporation":false,"usgs":true,"family":"Rystrom","given":"Victoria","email":"","middleInitial":"Louise","affiliations":[],"preferred":false,"id":243615,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":44929,"text":"wri024264 - 2003 - Simulation of Ground-Water Flow in the Irwin Basin Aquifer System, Fort Irwin National Training Center, California","interactions":[],"lastModifiedDate":"2012-02-02T00:04:57","indexId":"wri024264","displayToPublicDate":"2003-04-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2002-4264","title":"Simulation of Ground-Water Flow in the Irwin Basin Aquifer System, Fort Irwin National Training Center, California","docAbstract":"Ground-water pumping in the Irwin Basin at Fort Irwin National Training Center, California resulted in water-level declines of about 30 feet from 1941 to 1996. Since 1992, artificial recharge from wastewater-effluent infiltration and irrigation-return flow has stabilized water levels, but there is concern that future water demands associated with expansion of the base may cause a resumption of water-level declines. To address these concerns, a ground-water flow model of the Irwin Basin was developed to help better understand the aquifer system, assess the long-term availability and quality of ground water, and evaluate ground-water conditions owing to current pumping and to plan for future water needs at the base. \r\n\r\n\r\n\r\nHistorical data show that ground-water-level declines in the Irwin Basin between 1941 and 1996, caused the formation of a pumping depression near the pumped wells, and that recharge from the wastewater-treatment facility and disposal area caused the formation of a recharge mound. There have been two periods of water-level recovery in the Irwin Basin since the development of ground water in this basin; these periods coincide with a period of decreased pumpage from the basin and a period of increased recharge of water imported from the Bicycle Basin beginning in 1967 and from the Langford Basin beginning in 1992. Since 1992, artificial recharge has exceeded pumpage in the Irwin Basin and has stabilized water-level declines. \r\n\r\n\r\n\r\nA two-layer ground-water flow model was developed to help better understand the aquifer system, assess the long-term availability and quality of ground water, and evaluate ground-water conditions owing to current pumping and to plan for future water needs at the base. Boundary conditions, hydraulic conductivity, altitude of the bottom of the layers, vertical conductance, storage coefficient, recharge, and discharge were determined using existing geohydrologic data. Rates and distribution of recharge and discharge were determined from existing data and estimated when unavailable. \r\n\r\n\r\n\r\nResults of predictive simulations indicate that in 50 years, if artificial recharge continues to exceed pumpage in Irwin Basin, water levels could rise as much as 65 feet beneath the pumping depression, and as much as 10 feet in the wastewater-treatment facility and disposal area. \r\n\r\n\r\nParticle-tracking simulations were used to determine the pathlines and the traveltimes of water high in dissolved solids into the main pumping area. The pathlines of particles from two areas with high dissolved-solids concentrations show that in 50 years water from these areas almost reaches the nearest pumped well.","language":"ENGLISH","doi":"10.3133/wri024264","usgsCitation":"Densmore, J., 2003, Simulation of Ground-Water Flow in the Irwin Basin Aquifer System, Fort Irwin National Training Center, California: U.S. Geological Survey Water-Resources Investigations Report 2002-4264, 69 p., https://doi.org/10.3133/wri024264.","productDescription":"69 p.","costCenters":[],"links":[{"id":3805,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri024264","linkFileType":{"id":5,"text":"html"}},{"id":134887,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b05e4b07f02db699f1b","contributors":{"authors":[{"text":"Densmore, Jill N. 0000-0002-5345-6613","orcid":"https://orcid.org/0000-0002-5345-6613","contributorId":89179,"corporation":false,"usgs":true,"family":"Densmore","given":"Jill N.","affiliations":[],"preferred":false,"id":230706,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":44930,"text":"wri024285 - 2003 - Escherichia coli at Ohio bathing beaches—Distribution, sources, wastewater indicators, and predictive modeling","interactions":[],"lastModifiedDate":"2024-04-22T21:05:25.490632","indexId":"wri024285","displayToPublicDate":"2003-04-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2002-4285","displayTitle":"Escherichia coli at Ohio Bathing Beaches—Distribution, Sources, Wastewater Indicators, and Predictive Modeling","title":"Escherichia coli at Ohio bathing beaches—Distribution, sources, wastewater indicators, and predictive modeling","docAbstract":"Results of studies during the recreational seasons of 2000 and 2001 strengthen the science that supports monitoring of our Nation's beaches. Water and sediment samples were collected and analyzed for concentrations of Escherichia coli (E. coli). Ancillary water-quality and environmental data were collected or compiled to determine their relation to E. coli concentrations. Data were collected at three Lake Erie urban beaches (Edgewater, Villa Angela, and Huntington), two Lake Erie beaches in a less populated area (Mentor Headlands and Fairport Harbor), and one inland-lake beach (Mosquito Lake).
The distribution of E. coli in water and sediments within the bathing area, outside the bathing area, and near the swash zone was investigated at the three Lake Erie urban beaches and at Mosquito Lake. (The swash zone is the zone that is alternately covered and exposed by waves.) Lake-bottom sediments from outside the bathing area were not significant deposition areas for E. coli. In contrast, interstitial water and subsurface sediments from near the swash zone were enriched with E. coli. For example, E. coli concentrations were as high as 100,000 colonies per 100 milliliters in some interstitial waters. Although there are no standards for E. coli in swash-zone materials, the high concentrations found at some locations warrant concern for public health.
Studies were done at Mosquito Lake to identify sources of fecal contamination to the lake and bathing beach. Escherichia coli concentrations decreased with distance from a suspected source of fecal contamination that is north of the beach but increased at the bathing beach. This evidence indicated that elevated E. coli concentrations at the bathing beach are of local origin rather than from transport of bacteria from sites to the north.
Samples collected from the three Lake Erie urban beaches and Mosquito Lake were analyzed to determine whether wastewater indicators could be used as surrogates for E. coli at bathing beaches. None of the concentrations of wastewater indicators of fecal contamination, including 3b-coprostanol and cholesterol, were significantly correlated (a=0.05) to concentrations of E. coli. Concentrations of the two compounds that were significantly correlated to E. coli were components of coal tar and asphalt, which are not necessarily indicative of fecal contamination.
Data were collected to build on an earlier 1997 study to develop and test multiple-linear-regression models to predict E. coli concentrations using water-quality and environmental variables as explanatory variables. The probability of exceeding the single-sample bathing-water standard for E. coli (235 colonies per 100 milliliters) was used as the model output variable. Threshold probabilities for each model were established. Computed probabilities that are less than a threshold probability indicate that bacterial water quality is most likely acceptable. Computed probabilities equal to or above the threshold probability indicate that the water quality is most likely not acceptable and that a water-quality advisory may be needed.
Models were developed at each beach, whenever possible, using combinations of 1997, 2000, and (or) 2001 data. The models developed and tested in this study were shown to be beach specific; that is, different explanatory variables were used to predict the probability of exceeding the standard at each beach. At Mentor Headlands and Fairport Harbor, models were not developed because water quality was generally good. At the three Lake Erie urban beaches, models were developed with variable lists that included the number of birds on the beach at the time of sampling, lake-current direction, wave height, turbidity, streamflow of a nearby river, and rainfall. The models for Huntington explained a larger percentage of the variability in E. coli concentrations than the models for Edgewater and Villa Angela. At Mosquito Lake, a model based on 2000 and 2001 data contained the explanatory variables rainfall, number of dry days preceding a rainfall, date, wind direction, wind speed, and turbidity. Additional research could include testing the threshold probabilities assigned for these models in subsequent years and comparing the models’ ability to predict recreational water quality to results from the current method—using antecedent E. coli concentrations. Each year the model is tested, new data can be added and model variables can be recalculated to determine whether the predictive ability improves with additional data.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/wri024285","collaboration":"Prepared in cooperation with the Ohio Water Development Authority, Northeast Ohio Regional Sewer District, Ohio Lake Erie Office, Cuyahoga County Board of Health, Cuyahoga County Sanitary Engineers, and Cuyahoga River Community Planning Organization","usgsCitation":"Francy, D.S., Gifford, A.M., and Darner, R.A., 2003, Escherichia coli at Ohio bathing beaches—Distribution, sources, wastewater indicators, and predictive modeling: U.S. Geological Survey Water-Resources Investigations Report 2002-4285, Report: vi, 47 p.; Appendix, https://doi.org/10.3133/wri024285.","productDescription":"Report: vi, 47 p.; Appendix","costCenters":[],"links":[{"id":428020,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_54472.htm","linkFileType":{"id":5,"text":"html"}},{"id":359939,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/wri/2002/4285/wri20024285_append-a-f.zip","text":"Appendix A-F","linkFileType":{"id":6,"text":"zip"}},{"id":134888,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/2002/4285/coverthb.jpg"},{"id":3806,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/2002/4285/wri20024285.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"WRIR 2002-4285"}],"country":"United States","state":"Ohio","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -81.25,\n 41.774\n ],\n [\n -81.92862541205982,\n 41.774\n ],\n [\n -81.92862541205982,\n 41.48\n ],\n [\n -81.25,\n 41.48\n ],\n [\n -81.25,\n 41.774\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Ohio Water Science Center
U.S. Geological Survey
6460 Busch Blvd.
Columbus, OH 43229
This report, prepared in cooperation with El Paso Water Utilities, presents the results of an investigation to determine the chemistry and age of ground water on the southwestern side of the Hueco Bolson. The radioactive isotope carbon-14 was used to estimate the length of time that water from wells has been isolated from the atmosphere, which is the modern carbon-14 reservoir.
Nine wells on the southwestern side of the Hueco Bolson were sampled for analysis of common constituents, nutrients, total organic carbon, trace elements, stable isotopes, and radioactive isotopes. Dissolved-solids concentrations in water from the wells sampled ranged from 269 to 2,630 milligrams per liter. Sodium concentrations generally increased linearly with chloride concentrations, possibly indicating mixing of dilute recharge water with sodium chloride brine. Concentrations of nutrients and trace elements generally were small. The deuterium and oxygen-18 composition in all samples except those from wells adjacent to the Rio Grande indicates that infiltration of precipitation is the main source of water to these wells and that evaporation has not affected the isotopic composition of the water. The source of water from wells adjacent to the Rio Grande is probably not the same source as the water from wells adjacent to the Franklin Mountains. The calculated apparent carbon-14 ages ranged from 12,100 to 25,500 years.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/wri024237","collaboration":"Prepared in cooperation with El Paso Water Utilities","usgsCitation":"Anderholm, S.K., and Heywood, C.E., 2003, Chemistry and age of ground water in the southwestern Hueco Bolson, New Mexico and Texas: U.S. Geological Survey Water-Resources Investigations Report 2002-4237, iv, 16 p., https://doi.org/10.3133/wri024237.","productDescription":"iv, 16 p.","numberOfPages":"22","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":359942,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/2002/4237/coverthb.jpg"},{"id":4085,"rank":99,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/2002/4237/wrir024237.pdf","text":"Report","size":"573 kB","linkFileType":{"id":1,"text":"pdf"},"description":"WRIR 2002–4237"}],"contact":"Director, New Mexico Water Science Center
U.S. Geological Survey
6700 Edith Blvd NE
Albuquerque, NM 87113
The neighboring cities of El Paso, Texas, and Ciudad Juarez, Chihuahua, Mexico, have historically relied on ground-water withdrawals from the Hueco Bolson, an alluvial-aquifer system, to supply water to their growing populations. By 1996, ground-water drawdown exceeded 60 meters in some areas under Ciudad Juarez and El Paso.
A simulation of steady-state and transient ground-water flow in the Hueco Bolson in westernmost Texas, south-central New Mexico, and northern Chihuahua, Mexico, was developed using MODFLOW-96. The model is needed by El Paso Water Utilities to evaluate strategies for obtaining the most beneficial use of the Hueco Bolson aquifer system. The transient simulation represents a period of 100 years beginning in 1903 and ending in 2002. The period 1903 through 1968 was represented with 66 annual stress periods, and the period 1969 through 2002 was represented with 408 monthly stress periods.
The ground-water flow model was calibrated using MODFLOWP and UCODE. Parameter values representing aquifer properties and boundary conditions were adjusted through nonlinear regression in a transient-state simulation with 96 annual time steps to produce a model that approximated (1) 4,352 water levels measured in 292 wells from 1912 to 1995, (2) three seepage-loss rates from a reach of the Rio Grande during periods from 1979 to 1981, (3) three seepage-loss rates from a reach of the Franklin Canal during periods from 1990 to 1992, and (4) 24 seepage rates into irrigation drains from 1961 to 1983. Once a calibrated model was obtained with MODFLOWP and UCODE, the optimal parameter set was used to create an equivalent MODFLOW-96 simulation with monthly temporal discretization to improve computations of seepage from the Rio Grande and to define the flow field for a chloride-transport simulation.
Model boundary conditions were modified at appropriate times during the simulation to represent changes in well pumpage, drainage of agricultural fields, and channel modifications of the Rio Grande. The model input was generated from geographic information system databases, which facilitated rapid model construction and enabled testing of several conceptualizations of hydrogeologic facies boundaries. Specific yield of unconfined layers and hydraulic conductance of Quaternary faults in the fluvial facies were the most sensitive model parameters, suggesting that ground-water flow is impeded across the fault planes.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/wri024108","collaboration":"Prepared in cooperation with El Paso Water Utilities and the U.S. Army–Fort Bliss","usgsCitation":"Heywood, C.E., and Yager, R.M., 2003, Simulated ground-water flow in the Hueco Bolson, an alluvial-basin aquifer system near El Paso, Texas: U.S. Geological Survey Water-Resources Investigations Report 2002-4108, v, 73 p., https://doi.org/10.3133/wri024108.","productDescription":"v, 73 p.","numberOfPages":"80","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":4079,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/2002/4108/wrir024108.pdf","text":"Report","size":"5.35 MB","linkFileType":{"id":1,"text":"pdf"},"description":"WRIR 2002–4108"},{"id":359968,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/2002/4108/coverthb.jpg"}],"contact":"Director, New Mexico Water Science Center
U.S. Geological Survey
6700 Edith Blvd NE
Albuquerque, NM 87113
Stream-restoration projects utilizing natural stream designs frequently are based on the bankfull-channel characteristics of stream reaches that can accommodate streamflow and sediment transport without excessive erosion or deposition and lie within a watershed that has similar runoff characteristics. The bankfull channel at an ungaged impaired site or reference reach is identified by use of field indicators and is confirmed with tools such as regional curves. Channel dimensions were surveyed at 14 streamflow-measurement stations operated by the U.S. Geological Survey (USGS) in the Gettysburg-Newark Lowland Section, Piedmont Lowland Section, and the Piedmont Upland Section of the Piedmont Physiographic Province in Pennsylvania and Maryland. From the surveyed channel dimensions, regional curves were developed from regression analyses of the relations between drainage area and the cross-sectional area, mean depth, width, and streamflow of the bankfull channel at these sites.
Bankfull cross-sectional area and bankfull discharge have the strongest relation to drainage area as evidenced by R2 values of 0.94 and 0.93, respectively. The relation between bankfull crosssectional area and drainage area has a p-value of less than 0.001; no p-value is presented for the relation between bankfull discharge and drainage area because of a non-normal residual distribution. The relation between bankfull width and drainage area has an R2 value of 0.80 and a p-value of less than 0.001 indicating a moderate linear relation between all stations. The relation between bankfull mean depth and drainage area, with an R2 value of 0.72 and a p-value of less than 0.001, also indicates a moderate linear relation between all stations.
The concept of regional curves can be a valuable tool to support efforts in stream restoration. Practitioners of stream restoration need to recognize it as such and realize the limitations. The small number of USGS streamflow-measurement stations available for analysis is a major limiting factor in the strength of the results of this investigation, as is the inherent problem of directly associating streamflow-measurement station data to geomorphic analysis of a stream reach. Subjective selection criteria may have unnecessarily eliminated streamflow-measurement stations that could have been included in the regional curves and (or) added those that may belong within a different region. A bankfull discharge with a recurrence interval within the 1- to 2-year range commonly is used as a criterion for the confirmation of the bankfull stage at each streamflow-measurement station. Many researchers accept this range for recurrence interval of the bankfull discharge; however, literature provides contradictory evidence.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/wri034014","collaboration":"Prepared in cooperation with the Pennsylvania Department of Environmental Protection","usgsCitation":"Cinotto, P.J., 2003, Development of regional curves of bankfull-channel geometry and discharge for streams in the non-urban, Piedmont Physiographic Province, Pennsylvania and Maryland: U.S. Geological Survey Water-Resources Investigations Report 2003-4014, v, 27 p. , https://doi.org/10.3133/wri034014.","productDescription":"v, 27 p. ","onlineOnly":"Y","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":171788,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/2003/4014/coverthb.jpg"},{"id":3990,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/2003/4014/wri20034014.pdf","text":"Report","size":"4.64 MB","linkFileType":{"id":1,"text":"pdf"},"description":"WRI 2003-4014"}],"country":"United States","state":"Maryland, Pennsylvania","otherGeospatial":"Piedmont Physiographic Province","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.036865234375,\n 40.204050425113294\n ],\n [\n -74.3115234375,\n 40.538851525354666\n ],\n [\n -75.21240234375,\n 40.896905775860006\n ],\n [\n -77.89306640625,\n 40.002371935876475\n ],\n [\n -77.47558593749999,\n 39.18117526158749\n ],\n [\n -76.80541992187499,\n 38.89958342598271\n ],\n [\n -74.036865234375,\n 40.204050425113294\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Pennsylvania Water Science Center
U.S. Geological Survey
215 Limekiln Road
New Cumberland, PA 17070
No abstract available.
","language":"English","publisher":"Wiley","doi":"10.1111/j.1745-6584.2003.tb02574.x","usgsCitation":"Hill, M.C., Poeter, E., Zheng, C., and Doherty, J., 2003, Modflow 2001 and other modeling Odysseys: Ground Water, v. 41, no. 2, p. 113-113, https://doi.org/10.1111/j.1745-6584.2003.tb02574.x.","productDescription":"1 p. ","startPage":"113","endPage":"113","costCenters":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"links":[{"id":478362,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1745-6584.2003.tb02574.x","text":"Publisher Index Page"},{"id":343310,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"2","noUsgsAuthors":false,"publicationDate":"2005-12-13","publicationStatus":"PW","scienceBaseUri":"595dfabae4b0d1f9f056a7d2","contributors":{"authors":[{"text":"Hill, Mary C. mchill@usgs.gov","contributorId":974,"corporation":false,"usgs":true,"family":"Hill","given":"Mary","email":"mchill@usgs.gov","middleInitial":"C.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":703356,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poeter, Eileen","contributorId":24616,"corporation":false,"usgs":true,"family":"Poeter","given":"Eileen","affiliations":[],"preferred":false,"id":703357,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zheng, Chunmiao","contributorId":49233,"corporation":false,"usgs":true,"family":"Zheng","given":"Chunmiao","affiliations":[],"preferred":false,"id":703358,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Doherty, John","contributorId":43843,"corporation":false,"usgs":true,"family":"Doherty","given":"John","affiliations":[],"preferred":false,"id":703359,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70201648,"text":"70201648 - 2003 - Mars Digital Image Model (MDIM) 2.1 control network","interactions":[],"lastModifiedDate":"2018-12-20T11:05:51","indexId":"70201648","displayToPublicDate":"2003-03-01T13:45:16","publicationYear":"2003","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Mars Digital Image Model (MDIM) 2.1 control network","docAbstract":"Positional control for MDIM 2.1 comes from a new geodetic/photogrammetric solution of the global Mars Mariner 9 and Viking image control network. The details of this network solution are described here. This network incorporates 1,054 Mariner 9 and 5,317 Viking Orbiter images. Accuracy of the new solution is improved primarily as the result of constraining all 37,652 control points to radii from Mars Orbiter Laser Altimeter (MOLA) data and adding 1,232 \"ground control points\" whose horizontal coordinates are also constrained by MOLA. The MOLA data are believed to have an absolute accuracy on the order of 100m horizontally. Additional improvements result from use of updated timing and orientation data for the Viking Orbiter images, improved reseau measurements and hence distortion correction of the images, and careful checking and remeasurement of control points with large residuals. The RMS error of the solution is 15.8 µm (~1.3 Viking pixels, ~280 m on the ground). The IAU/IAG 2000 coordinate system is used for the network and the mosaic.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings: ISPRS Working Group IV/9 Workshop","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"ISPRS Working Group IV/9 Workshop","conferenceDate":"March 2003","conferenceLocation":"Houston, Texas","language":"English","publisher":"International Society for Photogrammetry and Remote Sensing","usgsCitation":"Archinal, B.A., Kirk, R.L., Duxbury, T.C., Lee, E., Sucharski, R.M., and Cook, D., 2003, Mars Digital Image Model (MDIM) 2.1 control network, in Proceedings: ISPRS Working Group IV/9 Workshop, Houston, Texas, March 2003, 3 p.","productDescription":"3 p.","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":360565,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c1b66e8e4b0708288c71d3e","contributors":{"authors":[{"text":"Archinal, Brent A. 0000-0002-6654-0742 barchinal@usgs.gov","orcid":"https://orcid.org/0000-0002-6654-0742","contributorId":2816,"corporation":false,"usgs":true,"family":"Archinal","given":"Brent","email":"barchinal@usgs.gov","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":754697,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kirk, Randolph L. 0000-0003-0842-9226 rkirk@usgs.gov","orcid":"https://orcid.org/0000-0003-0842-9226","contributorId":2765,"corporation":false,"usgs":true,"family":"Kirk","given":"Randolph","email":"rkirk@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":754698,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duxbury, T. C.","contributorId":91983,"corporation":false,"usgs":true,"family":"Duxbury","given":"T.","email":"","middleInitial":"C.","affiliations":[{"id":36392,"text":"Jet Propulsion Laboratory","active":true,"usgs":false}],"preferred":false,"id":754699,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lee, Ella M. elee@usgs.gov","contributorId":3557,"corporation":false,"usgs":true,"family":"Lee","given":"Ella M.","email":"elee@usgs.gov","affiliations":[],"preferred":true,"id":754700,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sucharski, Robert M. bsucharski@usgs.gov","contributorId":5051,"corporation":false,"usgs":true,"family":"Sucharski","given":"Robert","email":"bsucharski@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":754701,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cook, Debbie 0000-0001-9973-9929","orcid":"https://orcid.org/0000-0001-9973-9929","contributorId":202343,"corporation":false,"usgs":true,"family":"Cook","given":"Debbie","email":"","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":754702,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70202247,"text":"70202247 - 2003 - Hydrothermal alteration at the Lonar Lake impact structure, India: Implications for impact cratering on Mars","interactions":[],"lastModifiedDate":"2019-02-18T09:37:33","indexId":"70202247","displayToPublicDate":"2003-03-01T09:35:37","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2715,"text":"Meteoritics and Planetary Science","active":true,"publicationSubtype":{"id":10}},"title":"Hydrothermal alteration at the Lonar Lake impact structure, India: Implications for impact cratering on Mars","docAbstract":"The 50,000 year old, 1.8 km diameter Lonar crater is one of only two known terrestrial craters to be emplaced in basaltic target rock (the 65 million year old Deccan Traps). The composition of the Lonar basalts is similar to martian basaltic meteorites, which establishes Lonar as an excellent analogue for similarly sized craters on the surface of Mars. Samples from cores drilled into the Lonar crater floor show that there are basaltic impact breccias that have been altered by post‐impact hydrothermal processes to produce an assemblage of secondary alteration minerals. Microprobe data and X‐ray diffraction analyses show that the alteration mineral assemblage consists primarily of saponite, with minor celadonite, and carbonate. Thermodynamic modeling and terrestrial volcanic analogues were used to demonstrate that these clay minerals formed at temperatures between 130°C and 200°C. By comparing the Lonar alteration assemblage with alteration at other terrestrial craters, we conclude that the Lonar crater represents a lower size limit for impact‐induced hydrothermal activity. Based on these results, we suggest that similarly sized craters on Mars have the potential to form hydrothermal systems, as long as liquid water was present on or near the martian surface. Furthermore, the Fe‐rich alteration minerals produced by post‐impact hydrothermal processes could contribute to the minor iron enrichment associated with the formation of the martian soil.
","language":"English","publisher":"The Meteoritical Society","doi":"10.1111/j.1945-5100.2003.tb00272.x","usgsCitation":"Hagerty, J., and Newsom, H.E., 2003, Hydrothermal alteration at the Lonar Lake impact structure, India: Implications for impact cratering on Mars: Meteoritics and Planetary Science, v. 38, no. 3, p. 365-381, https://doi.org/10.1111/j.1945-5100.2003.tb00272.x.","productDescription":"17 p.","startPage":"365","endPage":"381","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":361314,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"India","otherGeospatial":"Lonar Lake; Mars","volume":"38","issue":"3","noUsgsAuthors":false,"publicationDate":"2010-01-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Hagerty, Justin 0000-0003-3800-7948 jhagerty@usgs.gov","orcid":"https://orcid.org/0000-0003-3800-7948","contributorId":911,"corporation":false,"usgs":true,"family":"Hagerty","given":"Justin","email":"jhagerty@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":757476,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Newsom, Horton E.","contributorId":67689,"corporation":false,"usgs":false,"family":"Newsom","given":"Horton","email":"","middleInitial":"E.","affiliations":[{"id":13339,"text":"University of New Mexico, Albuquerque","active":true,"usgs":false}],"preferred":false,"id":757477,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":44576,"text":"wri024271 - 2003 - Case study for delineating a contributing area to a well in a fractured siliciclastic-bedrock aquifer near Lansdale, Pennsylvania","interactions":[],"lastModifiedDate":"2018-02-26T15:38:40","indexId":"wri024271","displayToPublicDate":"2003-03-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2002-4271","title":"Case study for delineating a contributing area to a well in a fractured siliciclastic-bedrock aquifer near Lansdale, Pennsylvania","docAbstract":"A supply well used by the North Penn Water Authority near Lansdale, Pa., was selected as a case study for delineating a contributing area in a fractured siliciclastic-bedrock aquifer. The study emphasized the importance of refining the understanding of factors that control ground-water movement to the well by conducting (1) geophysical logging and flow measurements, (2) ground-water level monitoring, (3) aquifer testing, and (4) geochemical sampling. This approach could be applicable for other wells in siliciclastic-bedrock terranes, especially those of Triassic age in southeastern Pennsylvania.
The principal methods for refining the understanding of hydrology at supply well MG-1125 were aquifer testing, water-level measurements, and geophysical logging. Results of two constant-discharge aquifer tests helped estimate the transmissivity of water-producing units and evaluate the anisotropy caused by dipping beds. Results from slug tests provided estimates of transmissivity that were used to evaluate the results from the constant-discharge aquifer tests. Slug tests also showed the wide distribution of transmissivity, indicating that ground-water velocities must vary considerably in the well field. Water-level monitoring in observation wells allowed maps of the potentiometric surface near the well field to be drawn. The measurements also showed that the hydraulic gradient can change abruptly in response to pumping from nearby supply wells. Water levels measured at a broader regional scale in an earlier study also provided a useful view of the potentiometric surface for purposes of delineating the contributing area. Geophysical logging and measurements of flow within wells showed that about 60 percent of water from supply well MG-1125 probably is contributed from relatively shallow water-producing fractures from 60 to 125 feet below land surface, but measurable amounts of water are contributed by fractures to a depth of 311 feet below land surface. Chemical samples supported the evidence that shallow fractures probably contribute significant amounts of water to well MG-1125. The large contribution of water from shallow fractures indicates that the area providing part of the recharge to the well is not far removed from the wellhead.
Preliminary delineations of the contributing area and the 100-day time-of travel area were computed from a water budget and time-of-travel equation. These delineations provided insight into the size (but not the shape) of the contributing areas. Three other approaches were used and results compared: (1) uniform-flow equation, (2) hydrogeologic mapping, and (3) numerical modeling. The uniform-flow equation predicted a contributing area that seemed unrealistic—extending far across the ground-water divide into an adjacent watershed. Hydrogeologic mapping, if used with the potentiometric surface and constrained by the water budget, produced contributing area that was similar to that from numerical modeling. Numerical modeling allowed the incorporation of anisotropy caused by dipping water-producing units, differing transmissivity values of geologic units, and ground-water withdrawals from nearby supply wells. The numerical modeling showed that groundwater withdrawals from nearby supply wells affected the contributing area to supply well MG-1125 but had less effect on the 100-day time-of-travel area.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/wri024271","collaboration":"Prepared in cooperation with the Pennsylvania Department of Environmental Protection","usgsCitation":"Barton, G., Risser, D.W., Galeone, D.G., and Goode, D., 2003, Case study for delineating a contributing area to a well in a fractured siliciclastic-bedrock aquifer near Lansdale, Pennsylvania: U.S. Geological Survey Water-Resources Investigations Report 2002-4271, vii, 46 p., https://doi.org/10.3133/wri024271.","productDescription":"vii, 46 p.","onlineOnly":"Y","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":168543,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/2002/4271/coverthb.jpg"},{"id":3696,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/2002/4271/wri20024271.pdf","text":"Report","size":"20.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"WRI 2002-4271"}],"contact":"Director, Pennsylvania Water Science Center
U.S. Geological Survey
215 Limekiln Road
New Cumberland, PA 17070
The effects of patch size and land-cover heterogeneity on classification accuracy were evaluated using reference data collected for the National Land-Cover Data (NLCD) set accuracy assessment. Logistic regression models quantified the relationship between classification accuracy and these landscape variables for each land-cover class at both the Anderson Levels I and II classification schemes employed in the NLCD. The general relationships were consistent, with the odds of correctly classifying a pixel increasing as patch size increased and decreasing as heterogeneity increased. Specific characteristics of these relationships, however, showed considerable diversity among the various classes. Odds ratios are reported to document these relationships. Interaction between the two landscape variables was not a significant influence on classification accuracy, indicating that the effect of heterogeneity was not impacted by the sample being in a small or large patch. Landscape variables remained significant predictors of class-specific accuracy even when adjusted for regional differences in the mapping and assessment processes or landscape characteristics. The land-cover class-specific analyses provide insight into sources of classification error and a capacity for predicting error based on a pixel's mapped land-cover class, patch size and surrounding land-cover heterogeneity.
","language":"English","publisher":"Elsevier","doi":"10.1016/S0034-4257(02)00126-8","usgsCitation":"Smith, J.H., Stehman, S.V., Wickham, J.D., and Yang, L., 2003, Effects of landscape characteristics on land-cover class accuracy: Remote Sensing of Environment, v. 84, no. 3, p. 342-349, https://doi.org/10.1016/S0034-4257(02)00126-8.","productDescription":"8 p.","startPage":"342","endPage":"349","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":310421,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"84","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"562a08bce4b011227bf1fd4c","contributors":{"authors":[{"text":"Smith, Jonathan H. jhsmith@usgs.gov","contributorId":2900,"corporation":false,"usgs":true,"family":"Smith","given":"Jonathan","email":"jhsmith@usgs.gov","middleInitial":"H.","affiliations":[{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"preferred":true,"id":578074,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stehman, Stephen V.","contributorId":77283,"corporation":false,"usgs":true,"family":"Stehman","given":"Stephen","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":578075,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wickham, James D.","contributorId":72278,"corporation":false,"usgs":false,"family":"Wickham","given":"James","email":"","middleInitial":"D.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":578076,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yang, Limin 0000-0002-2843-6944 lyang@usgs.gov","orcid":"https://orcid.org/0000-0002-2843-6944","contributorId":4305,"corporation":false,"usgs":true,"family":"Yang","given":"Limin","email":"lyang@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":578077,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70159452,"text":"70159452 - 2003 - Monitoring vegetation phenology using MODIS","interactions":[],"lastModifiedDate":"2015-10-30T10:35:49","indexId":"70159452","displayToPublicDate":"2003-03-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring vegetation phenology using MODIS","docAbstract":"Accurate measurements of regional to global scale vegetation dynamics (phenology) are required to improve models and understanding of inter-annual variability in terrestrial ecosystem carbon exchange and climate–biosphere interactions. Since the mid-1980s, satellite data have been used to study these processes. In this paper, a new methodology to monitor global vegetation phenology from time series of satellite data is presented. The method uses series of piecewise logistic functions, which are fit to remotely sensed vegetation index (VI) data, to represent intra-annual vegetation dynamics. Using this approach, transition dates for vegetation activity within annual time series of VI data can be determined from satellite data. The method allows vegetation dynamics to be monitored at large scales in a fashion that it is ecologically meaningful and does not require pre-smoothing of data or the use of user-defined thresholds. Preliminary results based on an annual time series of Moderate Resolution Imaging Spectroradiometer (MODIS) data for the northeastern United States demonstrate that the method is able to monitor vegetation phenology with good success.
","language":"English","publisher":"Elsevier","doi":"10.1016/S0034-4257(02)00135-9","usgsCitation":"Zhang, X., Friedl, M.A., Schaaf, C.B., Strahler, A.H., Hodges, J.C., Gao, F., Reed, B.C., and Huete, A., 2003, Monitoring vegetation phenology using MODIS: Remote Sensing of Environment, v. 84, no. 3, p. 471-475, https://doi.org/10.1016/S0034-4257(02)00135-9.","productDescription":"5 p.","startPage":"471","endPage":"475","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":310795,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"84","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56349605e4b048076347feb1","contributors":{"authors":[{"text":"Zhang, Xiayong","contributorId":62147,"corporation":false,"usgs":true,"family":"Zhang","given":"Xiayong","email":"","affiliations":[],"preferred":false,"id":578766,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Friedl, Mark A.","contributorId":113388,"corporation":false,"usgs":true,"family":"Friedl","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":578767,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schaaf, Crystal B.","contributorId":149538,"corporation":false,"usgs":false,"family":"Schaaf","given":"Crystal","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":578768,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Strahler, Alan H.","contributorId":149539,"corporation":false,"usgs":false,"family":"Strahler","given":"Alan","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":578769,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hodges, John C.F.","contributorId":149540,"corporation":false,"usgs":false,"family":"Hodges","given":"John","email":"","middleInitial":"C.F.","affiliations":[],"preferred":false,"id":578770,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gao, Feng 0000-0002-1865-2846","orcid":"https://orcid.org/0000-0002-1865-2846","contributorId":70671,"corporation":false,"usgs":false,"family":"Gao","given":"Feng","email":"","affiliations":[{"id":6622,"text":"US Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":578771,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reed, Bradley C. 0000-0002-1132-7178 reed@usgs.gov","orcid":"https://orcid.org/0000-0002-1132-7178","contributorId":2901,"corporation":false,"usgs":true,"family":"Reed","given":"Bradley","email":"reed@usgs.gov","middleInitial":"C.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":578772,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Huete, Alfredo","contributorId":48337,"corporation":false,"usgs":true,"family":"Huete","given":"Alfredo","affiliations":[],"preferred":false,"id":578773,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70169864,"text":"70169864 - 2003 - Mitochondrial phylogeography of moose (Alces alces) in North America","interactions":[],"lastModifiedDate":"2022-06-08T15:49:53.133627","indexId":"70169864","displayToPublicDate":"2003-02-10T11:30:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Mitochondrial phylogeography of moose (Alces alces) in North America","title":"Mitochondrial phylogeography of moose (Alces alces) in North America","docAbstract":"Nucleotide variation was assessed from the mitochondrial control region of North American moose (Alces alces) to test predictions of a model of range expansion by stepping-stone dispersal and to determine whether patterns of genetic variation support the current recognition of 4 subspecies. Haplotypes formed a star phylogeny indicative of a recent expansion of populations. Values of nucleotide and haplotype diversity were low continentwide but were greatest in the central part of the continent and lowest in peripheral populations. Despite low mitochondrial diversity, moose exhibited a high degree of differentiation regionally, which was not explained by isolation by distance. Our data indicate a pattern of colonization consistent with a large central population that supplied founders to peripheral populations (other than Alaska), perhaps through rare, long-distance dispersal events (leptokurtic dispersal) rather than mass dispersal by a stepping-stone model. The colonization scenario does not account for the low haplotype diversity observed in Alaska, which may be derived from a postcolonization bottleneck. Establishment of peripheral populations by leptokurtic dispersal and subsequent local adaptation may have been sufficient for development of morphological differentiation among extant subspecies.
","language":"English","publisher":"American Society of Mammalogists","publisherLocation":"Provo, UT","doi":"10.1644/1545-1542(2003)084<0718:MPOMAA>2.0.CO;2","usgsCitation":"Hundertmark, K.J., Bowyer, R., Shields, G.F., and Schwartz, C.C., 2003, Mitochondrial phylogeography of moose (Alces alces) in North America: Journal of Mammalogy, v. 84, no. 2, p. 718-728, https://doi.org/10.1644/1545-1542(2003)084<0718:MPOMAA>2.0.CO;2.","productDescription":"11 p.","startPage":"718","endPage":"728","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":488265,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1644/1545-1542(2003)084<0718:mpomaa>2.0.co;2","text":"Publisher Index Page"},{"id":319545,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"North America","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-63.6645,46.55],[-62.0121,46.4431],[-62.8743,45.9682],[-64.1428,46.3927],[-64.3926,46.7275],[-64.0149,47.036],[-63.6645,46.55]]],[[[-61.8063,49.1051],[-63.5893,49.4007],[-64.5191,49.873],[-62.8583,49.7064],[-61.8063,49.1051]]],[[[-123.51,48.51],[-124.0129,48.3709],[-125.655,48.825],[-127.03,49.815],[-128.0593,49.995],[-128.4446,50.5391],[-128.3584,50.7707],[-125.755,50.295],[-124.9208,49.4753],[-123.9225,49.0625],[-123.51,48.51]]],[[[-56.134,50.687],[-56.7959,49.8123],[-56.1431,50.1501],[-55.4715,49.9358],[-55.8224,49.5871],[-54.9351,49.313],[-54.4738,49.5567],[-53.4766,49.2491],[-53.786,48.5168],[-53.0861,48.6878],[-52.6481,47.5356],[-53.0692,46.6555],[-54.1789,46.8071],[-53.9619,47.6252],[-54.2405,47.7523],[-55.4008,46.885],[-55.9975,46.9197],[-55.2912,47.3896],[-56.2508,47.6326],[-59.266,47.6034],[-59.4195,47.8995],[-58.7966,48.2515],[-59.2316,48.5232],[-58.3918,49.1256],[-57.3587,50.7183],[-56.7387,51.2874],[-55.407,51.5883],[-56.134,50.687]]],[[[-133.18,54.17],[-131.75,54.12],[-132.0495,52.9846],[-131.179,52.1804],[-131.5778,52.1824],[-133.0546,53.4115],[-133.18,54.17]]],[[[-79.2658,62.1587],[-79.6575,61.6331],[-80.3622,62.0165],[-79.9294,62.3856],[-79.2658,62.1587]]],[[[-81.8983,62.7108],[-83.0686,62.1592],[-83.7746,62.1823],[-83.9937,62.4528],[-83.2505,62.9141],[-81.877,62.9046],[-81.8983,62.7108]]],[[[-85.1613,65.6573],[-84.9758,65.2175],[-84.464,65.3718],[-81.642,64.4551],[-81.5534,63.9796],[-80.8174,64.0575],[-80.1035,63.726],[-80.991,63.4113],[-82.5472,63.6517],[-83.1088,64.1019],[-85.5234,63.0524],[-85.8668,63.6373],[-87.222,63.5412],[-86.3528,64.0358],[-85.8839,65.7388],[-85.1613,65.6573]]],[[[-75.8659,67.1489],[-76.9869,67.0987],[-77.2364,67.5881],[-76.8117,68.1486],[-75.8952,68.2872],[-75.1145,68.0104],[-75.216,67.4443],[-75.8659,67.1489]]],[[[-95.6477,69.1077],[-96.2695,68.757],[-97.6174,69.06],[-98.4318,68.9507],[-99.7974,69.4],[-98.2183,70.1435],[-96.5574,69.68],[-95.6477,69.1077]]],[[[-90.5471,69.4977],[-90.5515,68.475],[-89.2152,69.2587],[-88.0197,68.6151],[-88.3175,67.8734],[-87.3502,67.1987],[-86.3061,67.9215],[-85.5766,68.7846],[-85.522,69.8821],[-82.6226,69.6583],[-81.2804,69.162],[-81.2202,68.6657],[-81.9644,68.1325],[-81.2593,67.5972],[-81.3865,67.1108],[-83.3446,66.4115],[-84.7354,66.2573],[-85.7694,66.5583],[-87.3232,64.7756],[-88.483,64.099],[-89.9144,64.0327],[-90.704,63.6102],[-90.77,62.9602],[-91.9334,62.8351],[-93.157,62.0247],[-94.2415,60.8987],[-94.6293,60.1102],[-94.6846,58.9488],[-93.215,58.7821],[-92.297,57.0871],[-90.8977,57.2847],[-89.0395,56.8517],[-87.3242,55.9991],[-85.0118,55.3026],[-82.2729,55.1483],[-82.4362,54.2823],[-82.125,53.277],[-81.4008,52.1579],[-79.9129,51.2084],[-79.143,51.5339],[-78.6019,52.5621],[-79.1242,54.1415],[-79.8296,54.6677],[-78.2287,55.1365],[-77.0956,55.8374],[-76.5414,56.5342],[-76.6232,57.2026],[-77.3023,58.0521],[-78.5169,58.8046],[-77.3368,59.8526],[-78.1069,62.3196],[-77.4107,62.5505],[-74.6682,62.1811],[-73.8399,62.4438],[-71.6771,61.5254],[-71.3737,61.1372],[-69.5904,61.0614],[-69.2879,58.9574],[-68.3746,58.8011],[-67.6498,58.2121],[-66.2018,58.7673],[-64.5835,60.3356],[-61.3966,56.9675],[-61.7987,56.3395],[-59.5696,55.2041],[-57.3332,54.6265],[-56.9369,53.7803],[-56.1581,53.6475],[-55.7563,53.2704],[-55.6834,52.1466],[-57.1269,51.4197],[-58.7748,51.0643],[-60.0331,50.2428],[-61.7237,50.0805],[-66.3991,50.229],[-67.2363,49.5116],[-68.5111,49.0684],[-71.1046,46.8217],[-70.2552,46.9861],[-68.65,48.3],[-66.5524,49.1331],[-65.0563,49.2328],[-64.171,48.7425],[-65.1155,48.0709],[-64.4722,46.2385],[-63.1733,45.739],[-61.5207,45.8838],[-60.5182,47.0079],[-60.4486,46.2826],[-59.8029,45.9204],[-61.0399,45.2653],[-64.2466,44.2655],[-65.3641,43.5452],[-66.1234,43.6187],[-66.1617,44.4651],[-64.4255,45.292],[-67.1374,45.1375],[-66.9647,44.8097],[-70.1162,43.6841],[-70.6455,43.0902],[-70.825,42.335],[-70.495,41.805],[-70.08,41.78],[-70.185,42.145],[-69.885,41.9228],[-69.965,41.6372],[-73.71,40.9311],[-72.2413,41.1195],[-71.945,40.93],[-74.2567,40.4735],[-73.9624,40.4276],[-74.1784,39.7093],[-74.906,38.9395],[-75.5281,39.4985],[-75.0567,38.4041],[-75.9402,37.2169],[-75.7221,37.9371],[-76.2329,38.3192],[-76.35,39.15],[-76.5427,38.7176],[-76.3293,38.0833],[-76.99,38.24],[-76.3016,37.9179],[-76.2587,36.9664],[-75.9718,36.8973],[-75.7275,35.5507],[-76.3632,34.8085],[-77.3976,34.512],[-78.055,33.9255],[-79.0607,33.494],[-79.2036,33.1584],[-80.3013,32.5094],[-81.3363,31.4405],[-81.4904,30.73],[-81.3137,30.0355],[-80.0565,26.88],[-80.381,25.2062],[-81.1721,25.2013],[-81.33,25.64],[-81.71,25.87],[-82.8553,27.8862],[-82.65,28.55],[-83.7096,29.9366],[-84.1,30.09],[-85.1088,29.6362],[-86.4,30.4],[-89.5938,30.16],[-89.2177,29.2911],[-89.4082,29.1596],[-89.7793,29.3071],[-90.8802,29.1485],[-91.6268,29.677],[-93.8484,29.7136],[-94.69,29.48],[-95.6003,28.7386],[-96.594,28.3075],[-97.37,27.38],[-97.14,25.87],[-97.703,24.2723],[-97.8724,22.4442],[-97.1893,20.6354],[-95.9009,18.828],[-94.8391,18.5627],[-94.4257,18.1444],[-91.4079,18.8761],[-90.7719,19.2841],[-90.2786,20.9999],[-88.5439,21.4937],[-87.0519,21.5435],[-86.812,21.3315],[-86.8459,20.8499],[-87.6211,19.6466],[-87.4368,19.4724],[-87.8372,18.2598],[-88.3,18.5],[-88.1068,18.3487],[-88.3554,16.5308],[-88.9306,15.8873],[-88.1212,15.6887],[-87.9018,15.8645],[-86.9032,15.7567],[-84.9837,15.9959],[-83.4104,15.2709],[-83.1472,14.9958],[-83.1821,14.3107],[-83.5198,13.5677],[-83.4733,12.4191],[-83.8555,11.3733],[-83.4023,10.3954],[-82.1871,9.2075],[-82.2076,8.9956],[-81.7142,9.032],[-81.4393,8.7862],[-79.5733,9.6116],[-78.0559,9.2477],[-77.3534,8.6705],[-77.2426,7.9353],[-77.4311,7.6381],[-77.7534,7.7098],[-77.8816,7.2238],[-78.4292,8.052],[-78.1821,8.3192],[-79.1203,8.9961],[-79.5579,8.9324],[-79.7606,8.5845],[-80.3827,8.2984],[-80.4807,8.0903],[-80.0037,7.5475],[-80.4212,7.2716],[-80.8864,7.2205],[-81.0595,7.8179],[-81.5195,7.7066],[-81.7213,8.109],[-82.8201,8.2909],[-82.851,8.0738],[-83.5084,8.4469],[-83.7115,8.6568],[-83.6326,9.0514],[-84.6476,9.6155],[-84.7134,9.9081],[-84.9757,10.0867],[-85.1109,9.557],[-85.6608,9.9334],[-85.6593,10.7543],[-85.9417,10.8953],[-85.7125,11.0884],[-87.6685,12.9099],[-87.3167,12.9847],[-87.4894,13.2975],[-88.4833,13.164],[-90.6086,13.9098],[-91.2324,13.9278],[-93.3595,15.6154],[-94.6917,16.201],[-96.5574,15.6535],[-100.8295,17.1711],[-101.9185,17.9161],[-103.501,18.2923],[-104.992,19.3161],[-105.493,19.9468],[-105.7314,20.4341],[-105.3978,20.5317],[-105.2658,21.4221],[-106.0287,22.7738],[-108.4019,25.1723],[-109.2602,25.5806],[-109.4441,25.8249],[-109.2916,26.4429],[-110.3917,27.1621],[-110.641,27.8599],[-111.1789,27.9412],[-112.2282,28.9544],[-113.1638,30.7869],[-113.1487,31.171],[-114.7765,31.7995],[-114.9367,31.3935],[-114.6739,30.1627],[-111.6165,26.6628],[-110.6551,24.2986],[-110.1729,24.2656],[-109.4334,23.1856],[-110.0314,22.8231],[-110.2951,23.431],[-112.182,24.7384],[-112.3007,26.012],[-114.4658,27.1421],[-115.0551,27.7227],[-114.5704,27.7415],[-114.1993,28.115],[-114.162,28.5661],[-115.5187,29.5564],[-117.2959,33.0462],[-118.4106,33.7409],[-118.5199,34.0278],[-120.6229,34.6086],[-120.7443,35.1569],[-121.7146,36.1615],[-122.512,37.7834],[-123.7272,38.9517],[-123.8652,39.767],[-124.3981,40.3132],[-124.2137,41.9996],[-124.5328,42.766],[-124.1421,43.7084],[-123.8989,45.5234],[-124.0796,46.8648],[-124.6872,48.1844],[-124.5661,48.3797],[-123.12,48.04],[-122.5874,47.096],[-122.34,47.36],[-122.84,49],[-125.6246,50.4166],[-127.4356,50.8306],[-127.9928,51.7158],[-127.8503,52.3296],[-129.1298,52.7554],[-129.3052,53.5616],[-130.515,54.2876],[-130.5361,54.8028],[-131.9672,55.4978],[-132.25,56.37],[-133.5392,57.1789],[-134.0781,58.1231],[-136.6281,58.2122],[-137.8,58.5],[-139.8678,59.5378],[-142.5744,60.0845],[-143.9589,59.9992],[-147.1144,60.8847],[-148.2243,60.673],[-148.0181,59.9783],[-151.7164,59.1558],[-151.8594,59.745],[-151.4097,60.7258],[-150.3469,61.0336],[-150.6211,61.2844],[-154.0192,59.3503],[-153.2875,58.8647],[-154.2325,58.1464],[-156.3083,57.4228],[-156.5561,56.98],[-158.1172,56.4636],[-158.4333,55.9942],[-164.7856,54.4042],[-164.9422,54.5722],[-161.8042,55.895],[-160.5636,56.0081],[-157.7228,57.57],[-157.5503,58.3283],[-157.0417,58.9189],[-158.1947,58.6158],[-158.5172,58.7878],[-159.0586,58.4242],[-159.7117,58.9314],[-159.9813,58.5726],[-160.3553,59.0711],[-161.9689,58.6717],[-161.8742,59.6336],[-162.5181,59.9897],[-163.8183,59.7981],[-165.3464,60.5075],[-165.3508,61.0739],[-166.1214,61.5],[-164.5625,63.1464],[-163.0672,63.0595],[-162.2606,63.5419],[-161.5345,63.4558],[-160.7725,63.7661],[-160.9583,64.2228],[-161.5181,64.4028],[-160.7778,64.7886],[-162.7578,64.3386],[-163.5464,64.5592],[-164.9608,64.447],[-166.4253,64.6867],[-168.1106,65.67],[-164.4747,66.5767],[-163.6525,66.5767],[-163.7886,66.0772],[-161.6778,66.1161],[-162.4897,66.7356],[-163.7197,67.1164],[-165.3903,68.0428],[-166.7644,68.3589],[-166.2047,68.883],[-164.4308,68.9155],[-163.1686,69.3711],[-162.9306,69.8581],[-161.9089,70.3333],[-159.0392,70.8916],[-158.1197,70.8247],[-156.5808,71.3578],[-155.0678,71.1478],[-154.3442,70.6964],[-153.9,70.89],[-152.21,70.83],[-152.27,70.6],[-150.74,70.43],[-149.72,70.53],[-144.92,69.99],[-143.5895,70.1525],[-136.5036,68.898],[-134.4146,69.6274],[-132.9293,69.5053],[-129.7947,70.1937],[-129.1077,69.7793],[-128.3616,70.0129],[-128.1382,70.4838],[-127.4471,70.3772],[-125.7563,69.4806],[-124.4248,70.1584],[-124.2897,69.3997],[-123.0611,69.5637],[-122.6835,69.8555],[-121.4723,69.7978],[-117.6027,69.0113],[-115.2469,68.9059],[-113.8979,68.3989],[-115.3049,67.9026],[-113.4973,67.6882],[-109.9462,67.981],[-108.8802,67.3814],[-107.7924,67.8874],[-108.813,68.3116],[-108.1672,68.6539],[-106.15,68.8],[-104.3379,68.018],[-103.2212,68.0978],[-101.4543,67.6469],[-98.4432,67.7817],[-98.5586,68.4039],[-97.6695,68.5786],[-96.1199,68.2394],[-96.1259,67.2934],[-95.4894,68.0907],[-94.685,68.0638],[-94.2328,69.069],[-96.4713,70.0898],[-96.3912,71.1948],[-95.2088,71.9205],[-93.89,71.7602],[-92.8782,71.3187],[-91.5196,70.1913],[-92.4069,69.7],[-90.5471,69.4977]]],[[[-114.1672,73.1215],[-114.6663,72.6528],[-112.441,72.9554],[-111.0504,72.4504],[-109.9204,72.9611],[-109.0065,72.6334],[-108.1884,71.6509],[-107.686,72.0655],[-108.3964,73.0895],[-107.5165,73.236],[-106.5226,73.076],[-105.4025,72.6726],[-104.4648,70.993],[-100.9808,70.0243],[-101.0893,69.5845],[-102.7312,69.504],[-102.0933,69.1196],[-102.4302,68.7528],[-105.96,69.18],[-113.3132,68.5355],[-113.855,69.0074],[-115.22,69.28],[-116.1079,69.1682],[-117.34,69.96],[-112.4161,70.3664],[-114.35,70.6],[-117.9048,70.5406],[-118.4324,70.9092],[-116.1131,71.3092],[-119.402,71.5586],[-117.8664,72.7059],[-115.1891,73.3146],[-114.1672,73.1215]]],[[[-104.5,73.42],[-105.38,72.76],[-106.94,73.46],[-105.26,73.64],[-104.5,73.42]]],[[[-76.34,73.1027],[-76.2514,72.8264],[-79.4863,72.7422],[-80.8761,73.3332],[-80.8339,73.6932],[-80.3531,73.7597],[-78.0644,73.6519],[-76.34,73.1027]]],[[[-86.5622,73.1575],[-85.7744,72.5341],[-84.8501,73.3403],[-82.3156,73.751],[-80.6001,72.7165],[-80.7489,72.0619],[-78.7706,72.3522],[-77.8246,72.7496],[-74.2286,71.7671],[-74.0991,71.3308],[-72.2422,71.5569],[-71.2,70.92],[-68.7861,70.525],[-67.915,70.122],[-66.969,69.1861],[-68.8051,68.7202],[-64.8623,67.8475],[-63.4249,66.9285],[-61.852,66.8621],[-62.1632,66.1603],[-63.9184,64.9987],[-65.1489,65.426],[-66.7212,66.388],[-68.015,66.2627],[-68.1413,65.6898],[-65.3202,64.3827],[-64.6694,63.3929],[-65.0138,62.6742],[-68.7832,63.7457],[-66.3283,62.2801],[-66.1656,61.9309],[-71.0234,62.9107],[-72.2354,63.3978],[-71.8863,63.68],[-74.8344,64.6791],[-74.8185,64.3891],[-77.71,64.2295],[-78.556,64.5729],[-77.8973,65.3092],[-73.9598,65.4548],[-74.2939,65.8118],[-72.6512,67.2846],[-72.9261,67.7269],[-73.3116,68.0694],[-74.8433,68.5546],[-76.8691,68.8947],[-76.2287,69.1478],[-77.2874,69.7695],[-78.9572,70.1669],[-79.4925,69.8718],[-81.3055,69.7432],[-84.9447,69.9666],[-88.6817,70.4107],[-89.5134,70.762],[-88.4677,71.2182],[-89.8882,71.2226],[-90.2052,72.2351],[-89.4366,73.1295],[-88.4082,73.5379],[-85.8262,73.8038],[-86.5622,73.1575]]],[[[-100.3564,73.8439],[-99.1639,73.6334],[-97.38,73.76],[-97.12,73.47],[-98.0536,72.9905],[-96.54,72.56],[-96.72,71.66],[-98.3597,71.2729],[-99.3229,71.3564],[-102.5,72.51],[-102.48,72.83],[-100.4384,72.7059],[-101.54,73.36],[-100.3564,73.8439]]],[[[-93.1963,72.772],[-94.2691,72.0246],[-95.4099,72.0619],[-96.0338,72.9403],[-96.0183,73.4374],[-95.4958,73.8624],[-94.5037,74.1349],[-90.5098,73.8567],[-92.004,72.9662],[-93.1963,72.772]]],[[[-120.46,71.3836],[-123.0922,70.9016],[-123.62,71.34],[-125.929,71.8687],[-123.94,73.68],[-124.9178,74.2928],[-121.5379,74.4489],[-117.5556,74.1858],[-115.5108,73.4752],[-119.22,72.52],[-120.46,71.82],[-120.46,71.3836]]],[[[-93.6128,74.98],[-94.1569,74.5924],[-96.8209,74.9276],[-96.2886,75.3778],[-94.8508,75.6472],[-93.6128,74.98]]],[[[-98.5,76.72],[-97.7356,76.2566],[-97.7044,75.7434],[-98.16,75],[-99.8087,74.8974],[-100.8837,75.0574],[-100.8629,75.6408],[-102.5021,75.5638],[-102.5655,76.3366],[-98.5,76.72]]],[[[-108.2114,76.2017],[-107.8194,75.8455],[-105.881,75.9694],[-105.705,75.4795],[-106.3135,75.0053],[-109.7,74.85],[-112.2231,74.417],[-113.7438,74.3943],[-113.8714,74.7203],[-111.7942,75.1625],[-116.3122,75.0434],[-117.7104,75.2222],[-116.346,76.199],[-115.4049,76.4789],[-112.5906,76.1413],[-110.8142,75.5492],[-109.0671,75.4732],[-110.4973,76.4298],[-109.5811,76.7942],[-108.5486,76.6783],[-108.2114,76.2017]]],[[[-94.6841,77.0979],[-93.5739,76.7763],[-91.605,76.7785],[-90.7419,76.4496],[-90.9697,76.074],[-89.1871,75.6102],[-86.3792,75.4824],[-81.1285,75.714],[-80.0575,75.3369],[-79.8339,74.9231],[-81.9488,74.4425],[-89.7647,74.5156],[-92.4224,74.8378],[-92.8899,75.8827],[-93.8938,76.3192],[-95.9625,76.4414],[-97.1214,76.7511],[-96.7451,77.1614],[-94.6841,77.0979]]],[[[-116.1986,77.6453],[-116.3358,76.877],[-117.1061,76.53],[-121.5,75.9],[-122.8549,76.1165],[-119.1039,77.5122],[-116.1986,77.6453]]],[[[-93.84,77.52],[-96.1697,77.5551],[-96.4363,77.8346],[-94.4226,77.82],[-93.7207,77.6343],[-93.84,77.52]]],[[[-110.1869,77.697],[-112.0512,77.4092],[-113.5343,77.7322],[-112.7246,78.0511],[-109.8545,77.9963],[-110.1869,77.697]]],[[[-109.6632,78.602],[-112.5421,78.4079],[-111.5,78.85],[-109.6632,78.602]]],[[[-95.8303,78.0569],[-97.3098,77.8506],[-98.1243,78.0829],[-98.5529,78.4581],[-98.632,78.8719],[-96.7544,78.7658],[-95.5593,78.4183],[-95.8303,78.0569]]],[[[-100.0602,78.3248],[-99.6709,77.9075],[-102.9498,78.3432],[-105.1761,78.3803],[-104.2104,78.6774],[-105.4196,78.9183],[-105.4923,79.3016],[-100.8252,78.8005],[-100.0602,78.3248]]],[[[-87.02,79.66],[-85.8144,79.3369],[-89.0354,78.2872],[-90.8044,78.2153],[-92.8767,78.3433],[-93.9512,78.751],[-93.9357,79.1137],[-93.1452,79.3801],[-94.974,79.3725],[-96.0761,79.705],[-96.7097,80.1578],[-95.3235,80.9073],[-94.2984,80.9773],[-94.7354,81.2065],[-92.4098,81.2574],[-91.1329,80.7235],[-87.81,80.32],[-87.02,79.66]]],[[[-68.5,83.1063],[-61.85,82.6286],[-61.8939,82.3617],[-67.6576,81.5014],[-65.4803,81.5066],[-69.4697,80.6168],[-71.18,79.8],[-76.9077,79.3231],[-75.5292,79.1977],[-76.2205,79.0191],[-75.3935,78.5258],[-79.7595,77.2097],[-79.6197,76.9834],[-77.9109,77.0221],[-77.8891,76.778],[-80.5613,76.1781],[-83.1744,76.454],[-86.1118,76.299],[-89.4907,76.4724],[-89.6161,76.9521],[-87.7674,77.1783],[-88.26,77.9],[-84.9763,77.5387],[-86.34,78.18],[-87.9619,78.3718],[-87.152,78.7587],[-85.3787,78.9969],[-85.095,79.3454],[-86.5073,79.7362],[-86.9318,80.2515],[-83.4087,80.1],[-81.8482,80.4644],[-87.599,80.5163],[-89.3666,80.8557],[-91.3679,81.5531],[-91.587,81.8943],[-86.9702,82.2796],[-85.5,82.6523],[-83.18,82.32],[-82.42,82.86],[-79.3066,83.1306],[-68.5,83.1063]]],[[[-71.7124,19.7145],[-70.8067,19.8803],[-69.9508,19.648],[-69.7693,19.2933],[-69.2221,19.3132],[-69.2544,19.0152],[-68.3179,18.6122],[-68.6893,18.2051],[-69.9529,18.4283],[-70.5171,18.1843],[-70.6693,18.4269],[-71,18.2833],[-71.4002,17.5986],[-71.7083,18.045],[-72.3725,18.215],[-73.9224,18.031],[-74.458,18.3426],[-74.3699,18.6649],[-72.6949,18.4458],[-72.3349,18.6684],[-72.7917,19.1016],[-72.7841,19.4836],[-73.415,19.6396],[-73.1898,19.9157],[-71.7124,19.7145]]],[[[-77.5696,18.4905],[-76.8966,18.4009],[-76.1997,17.8869],[-77.2063,17.7011],[-78.3377,18.226],[-78.2177,18.4545],[-77.5696,18.4905]]],[[[-66.2824,18.5148],[-65.591,18.228],[-65.8472,17.9759],[-67.1842,17.9466],[-67.1007,18.5206],[-66.2824,18.5148]]],[[[-155.5421,19.0835],[-155.6882,18.9162],[-155.9367,19.0594],[-156.0735,19.7029],[-155.8611,20.2672],[-155.2245,19.993],[-154.8074,19.5087],[-155.5421,19.0835]]],[[[-156.0793,20.644],[-156.4145,20.5724],[-156.7106,20.9268],[-156.2571,20.9175],[-156.0793,20.644]]],[[[-157.6528,21.3222],[-158.1267,21.3124],[-158.2927,21.5791],[-158.0252,21.717],[-157.6528,21.3222]]],[[[-159.3451,21.982],[-159.8005,22.0653],[-159.3657,22.2149],[-159.3451,21.982]]],[[[-153.0063,57.1158],[-154.0051,56.7347],[-154.5164,56.9928],[-154.671,57.4612],[-153.2287,57.969],[-152.5648,57.9014],[-152.1412,57.5911],[-153.0063,57.1158]]],[[[-165.5792,59.91],[-166.1928,59.7544],[-167.4553,60.2131],[-165.6744,60.2936],[-165.5792,59.91]]],[[[-171.7317,63.7825],[-168.6894,63.2975],[-169.5294,62.9769],[-170.6714,63.3758],[-171.5531,63.3178],[-171.7911,63.4059],[-171.7317,63.7825]]],[[[-82.2682,23.1886],[-80.6188,23.106],[-79.2815,22.3992],[-78.3474,22.5122],[-76.5238,21.2068],[-75.5982,21.0166],[-75.6711,20.7351],[-74.9339,20.6939],[-74.178,20.2846],[-74.2967,20.0504],[-74.9616,19.9234],[-77.7555,19.8555],[-77.0851,20.4134],[-78.1373,20.74],[-78.7199,21.5981],[-79.285,21.5592],[-82.17,22.3871],[-81.795,22.637],[-82.7759,22.6882],[-84.0522,21.9106],[-84.9749,21.896],[-83.7782,22.7881],[-82.2682,23.1886]]],[[[-77.5347,23.7598],[-77.78,23.71],[-78.4085,24.5756],[-78.1909,25.2103],[-77.89,25.17],[-77.5347,23.7598]]],[[[-77.82,26.58],[-78.91,26.42],[-78.98,26.79],[-77.85,26.84],[-77.82,26.58]]],[[[-77,26.59],[-77.1726,25.8792],[-77.34,26.53],[-77.79,27.04],[-77,26.59]]],[[[-61.68,10.76],[-60.895,10.855],[-60.935,10.11],[-61.95,10.09],[-61.66,10.365],[-61.68,10.76]]],[[[-46.7638,82.628],[-43.4064,83.2252],[-39.8975,83.1802],[-38.6221,83.5491],[-27.1005,83.5197],[-20.8454,82.7267],[-22.6918,82.3417],[-31.9,82.2],[-31.3965,82.0215],[-27.8567,82.1318],[-24.8445,81.787],[-22.9033,82.0932],[-22.0718,81.7345],[-23.1696,81.1527],[-15.7682,81.9125],[-12.7702,81.7189],[-12.2086,81.2915],[-16.85,80.35],[-20.0462,80.1771],[-17.7304,80.1291],[-19.705,78.7513],[-19.6735,77.6386],[-18.4729,76.9857],[-21.6794,76.628],[-19.8341,76.0981],[-19.599,75.2484],[-20.6682,75.1559],[-19.3728,74.2956],[-21.5942,74.2238],[-20.4345,73.8171],[-20.7623,73.4644],[-23.5659,73.3066],[-22.3131,72.6293],[-22.2995,72.1841],[-24.2783,72.5979],[-24.793,72.3302],[-23.443,72.0802],[-22.1328,71.469],[-21.7536,70.6637],[-23.536,70.471],[-25.5434,71.4309],[-25.2014,70.7523],[-26.3628,70.2265],[-22.349,70.1295],[-27.7474,68.4705],[-31.7767,68.1208],[-32.8111,67.7355],[-34.202,66.6797],[-36.3528,65.9789],[-39.8122,65.4585],[-40.669,64.84],[-40.6828,64.139],[-41.1887,63.4825],[-42.8194,62.6823],[-42.4167,61.9009],[-43.3784,60.0977],[-44.7875,60.0368],[-46.2636,60.8533],[-48.2629,60.8584],[-49.2331,61.4068],[-49.9004,62.3834],[-51.6333,63.6269],[-52.1401,64.2784],[-52.2766,65.1767],[-53.6617,66.0996],[-53.3016,66.8365],[-53.9691,67.189],[-52.9804,68.3576],[-51.4754,68.7296],[-51.0804,69.1478],[-50.8712,69.9291],[-53.4563,69.2836],[-54.6834,69.61],[-54.75,70.2893],[-54.3588,70.8213],[-51.3901,70.5698],[-54.0042,71.5472],[-55,71.4065],[-55.8347,71.6544],[-54.7182,72.5863],[-57.3236,74.7103],[-58.5968,75.0986],[-58.5852,75.5173],[-61.2686,76.1024],[-68.5044,76.0614],[-71.4026,77.0086],[-66.764,77.376],[-71.0429,77.636],[-73.297,78.0442],[-73.1594,78.4327],[-65.7107,79.3944],[-65.3239,79.7581],[-68.023,80.1172],[-67.1513,80.5158],[-62.2344,81.3211],[-62.6512,81.7704],[-57.2074,82.1907],[-54.1344,82.1996],[-53.0433,81.8883],[-50.3906,82.4388],[-44.523,81.6607],[-46.9007,82.1998],[-46.7638,82.628]]]]},\"properties\":{\"name\":\"North America\"}}]}","volume":"84","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56fa55ffe4b0a6037df0ab3c","contributors":{"authors":[{"text":"Hundertmark, Kris J.","contributorId":150026,"corporation":false,"usgs":false,"family":"Hundertmark","given":"Kris","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":625375,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bowyer, R. Terry","contributorId":9533,"corporation":false,"usgs":true,"family":"Bowyer","given":"R. Terry","affiliations":[],"preferred":false,"id":625376,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shields, Gerald F.","contributorId":149916,"corporation":false,"usgs":false,"family":"Shields","given":"Gerald","email":"","middleInitial":"F.","affiliations":[{"id":13117,"text":"Institute of Arctic Biology, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":625377,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schwartz, Charles C.","contributorId":124574,"corporation":false,"usgs":false,"family":"Schwartz","given":"Charles","email":"","middleInitial":"C.","affiliations":[{"id":5119,"text":"Retired from U.S. Geological Survey, Interagency Grizzly Bear Study Team, Northern Rocky Mountain Science Center, 2327 University Way, suite 2, Bozeman, MT 59715","active":true,"usgs":false}],"preferred":false,"id":625378,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70199735,"text":"70199735 - 2003 - Importance of a stochastic distribution of floods and erosion thresholds in the bedrock river incision problem","interactions":[],"lastModifiedDate":"2018-09-26T13:39:57","indexId":"70199735","displayToPublicDate":"2003-02-01T13:39:20","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Importance of a stochastic distribution of floods and erosion thresholds in the bedrock river incision problem","docAbstract":"Fluvial erosion of bedrock occurs during occasional flood events when boundary shear stress exceeds a critical threshold to initiate incision. Therefore efforts to model the evolution of topography over long timescales should include an erosion threshold and should be driven by a stochastic distribution of erosive events. However, most bedrock incision models ignore the threshold as a second‐order detail. In addition, climate is poorly represented in most landscape evolution models, so the quantitative relationship between erosion rate and measurable climatic variables has been elusive. Here we show that the presence of an erosion threshold, when combined with a well‐constrained, probabilistic model of storm and flood occurrence, has first‐order implications for the dynamics of river incision in tectonically active areas. First, we make a direct calculation of the critical shear stress required to pluck bedrock blocks for a field site in New York. Second, we apply a recently proposed stochastic, threshold, bedrock incision model to a series of streams in California, with known tectonic and climatic forcing. Previous work in the area has identified a weak relationship between channel gradient or relief and rock uplift rate that is not easily explained by simpler detachment‐limited models. The results with the stochastic threshold model show that even low erosion thresholds, which are exceeded in steep channels during high‐frequency flood events, fundamentally affect the predicted relationship between gradient and uplift rate in steady state rivers, in a manner consistent with the observed topography. This correspondence between theory and data is, however, nonunique; models in which a thin alluvial cover may act to inhibit channel incision in the low uplift rate zone also provide plausible explanations for the observed topography. Third, we explore the broader implications of the stochastic threshold model to the development of fluvial topography in active tectonic settings. We suggest that continued field applications of geomorphic models, including physically meaningful thresholds and stochastic climate distributions, are required to advance our knowledge of interactions among surficial, climatic, and crustal processes.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2001JB001655","usgsCitation":"Snyder, N.P., Whipple, K.X., Tucker, G., and Merritts, D., 2003, Importance of a stochastic distribution of floods and erosion thresholds in the bedrock river incision problem: Journal of Geophysical Research B: Solid Earth, v. 108, no. B2, 15 p., https://doi.org/10.1029/2001JB001655.","productDescription":"15 p.","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":478366,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2001jb001655","text":"Publisher Index Page"},{"id":357790,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","volume":"108","issue":"B2","noUsgsAuthors":false,"publicationDate":"2003-02-22","publicationStatus":"PW","scienceBaseUri":"5c10ed10e4b034bf6a803a85","contributors":{"authors":[{"text":"Snyder, Noah P.","contributorId":198029,"corporation":false,"usgs":false,"family":"Snyder","given":"Noah","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":746399,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whipple, Kelin X.","contributorId":138503,"corporation":false,"usgs":false,"family":"Whipple","given":"Kelin","email":"","middleInitial":"X.","affiliations":[{"id":12431,"text":"ASU","active":true,"usgs":false}],"preferred":false,"id":746400,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tucker, Gregory E.","contributorId":39280,"corporation":false,"usgs":true,"family":"Tucker","given":"Gregory E.","affiliations":[],"preferred":false,"id":746401,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Merritts, D.J.","contributorId":73766,"corporation":false,"usgs":true,"family":"Merritts","given":"D.J.","affiliations":[],"preferred":false,"id":746402,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70202122,"text":"70202122 - 2003 - Compositional analyses of lunar pyroclastic deposits","interactions":[],"lastModifiedDate":"2019-02-11T13:03:50","indexId":"70202122","displayToPublicDate":"2003-02-01T13:02:10","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Compositional analyses of lunar pyroclastic deposits","docAbstract":"The 5-band Clementine UVVIS data at ∼100 m/pixel were used to examine the compositions of 75 large and small lunar pyroclastic deposits (LPDs), and these were compared to representative lunar maria and highlands deposits. Results show that the albedo, spectral color, and inferred composition of most LPDs are similar to those of low-titanium, mature lunar maria. These LPDs may have consisted largely of fragmented basalt, with substantial components of iron-bearing mafic minerals (pyroxenes, olivine) and smaller amounts (if any) of volcanic glass. Several smaller LPDs also show substantial highland components. Three classes of very large deposits can be distinguished from most LPDs and from each other on the basis of crystallinity and possible titanium content of their pyroclastic components. One class has spectral properties that are dominated by high-titanium, crystallized “black beads” (e.g., Taurus–Littrow), a second consists of a mixture of high-titanium glasses and beads with a higher glass/bead ratio (Sulpicius Gallus) than that of Taurus–Littrow, and a third has a significant component of quenched iron-bearing volcanic glasses (Aristarchus) with possible moderate titanium contents. Although areally extensive, these three classes of very large pyroclastic deposits compose only 20 of the 75 deposits studied (∼27%), and eruption of such materials was thus likely to have been less frequent on the Moon.
","language":"English","publisher":"Elsevier","doi":"10.1016/S0019-1035(02)00036-2","usgsCitation":"Gaddis, L.R., Staid, M.I., Tyburczy, J.A., Hawke, B.R., and Petro, N.E., 2003, Compositional analyses of lunar pyroclastic deposits: Icarus, v. 161, no. 2, p. 262-280, https://doi.org/10.1016/S0019-1035(02)00036-2.","productDescription":"19 p.","startPage":"262","endPage":"280","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":361138,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Moon","volume":"161","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gaddis, Lisa R. 0000-0001-9953-5483 lgaddis@usgs.gov","orcid":"https://orcid.org/0000-0001-9953-5483","contributorId":2817,"corporation":false,"usgs":true,"family":"Gaddis","given":"Lisa","email":"lgaddis@usgs.gov","middleInitial":"R.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":756964,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Staid, Matthew I.","contributorId":79761,"corporation":false,"usgs":true,"family":"Staid","given":"Matthew","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":756965,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tyburczy, James A.","contributorId":213119,"corporation":false,"usgs":false,"family":"Tyburczy","given":"James","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":756966,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hawke, B. Ray","contributorId":76570,"corporation":false,"usgs":true,"family":"Hawke","given":"B.","email":"","middleInitial":"Ray","affiliations":[],"preferred":false,"id":756967,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Petro, Noah E.","contributorId":193909,"corporation":false,"usgs":false,"family":"Petro","given":"Noah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":756968,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}