The mobilization of mercury and dissolved organic carbon (DOC) during snowmelt often accounts for a major fraction of the annual loads. We studied the role of hydrological connectivity of riparian wetlands and upland/wetland transition zones to surface waters on the mobilization of Hg and DOC in Fishing Brook, a headwater of the Adirondack Mountains, New York. Stream water total mercury (THg) concentrations varied strongly (mean = 2.25 ± 0.5 ng L−1), and the two snowmelt seasons contributed 40% (2007) and 48% (2008) of the annual load. Methyl mercury (MeHg) concentrations ranged up to 0.26 ng L−1, and showed an inverse log relationship with discharge. TOPMODEL‐simulated saturated area corresponded well with wetland areas, and the application of a flow algorithm based elevation‐above‐creek approach suggests that most wetlands become well connected during high flow. The dynamics of simulated saturated area and soil storage deficit were able to explain a large part of the variation of THg concentrations (r2 = 0.53 to 0.72). In contrast, the simulations were not able to explain DOC variations and DOC and THg concentrations were not correlated. These results indicate that all three constituents, THg, MeHg, and DOC, follow different patterns at the outlet: (1) the mobilization of THg is primarily controlled by the saturation state of the catchment, (2) the dilution of MeHg suggests flushing from a supply limited pool, and (3) DOC dynamics follow a pattern different from THg dynamics, which likely results from differing gain and/or loss processes for THg and/or DOC within the Fishing Brook catchment.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2010JG001330","issn":"01480227","usgsCitation":"Schelker, J., Burns, D.A., Weiler, M., and Laudon, H., 2011, Hydrological mobilization of mercury and dissolved organic carbon in a snow-dominated, forested watershed: Conceptualization and modeling: Journal of Geophysical Research G: Biogeosciences, v. 116, no. 1, G01002, 17 p., https://doi.org/10.1029/2010JG001330.","productDescription":"G01002, 17 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":475244,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010jg001330","text":"Publisher Index Page"},{"id":244245,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Adirondack State Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.7894287109375,\n 43.50075243569041\n ],\n [\n -73.443603515625,\n 43.50075243569041\n ],\n [\n -73.443603515625,\n 44.62175409623324\n ],\n [\n -74.7894287109375,\n 44.62175409623324\n ],\n [\n -74.7894287109375,\n 43.50075243569041\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"116","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-01-12","publicationStatus":"PW","scienceBaseUri":"505a36ace4b0c8380cd608e8","contributors":{"authors":[{"text":"Schelker, J.","contributorId":50007,"corporation":false,"usgs":false,"family":"Schelker","given":"J.","affiliations":[],"preferred":false,"id":452522,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burns, Douglas A. 0000-0001-6516-2869 daburns@usgs.gov","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":1237,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas","email":"daburns@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":452521,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weiler, M.","contributorId":15003,"corporation":false,"usgs":false,"family":"Weiler","given":"M.","email":"","affiliations":[],"preferred":false,"id":452520,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Laudon, H.","contributorId":82444,"corporation":false,"usgs":false,"family":"Laudon","given":"H.","email":"","affiliations":[],"preferred":false,"id":452523,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70034988,"text":"70034988 - 2011 - Arsenic in sediments, groundwater, and streamwater of a glauconitic Coastal Plain terrain, New Jersey, USA-Chemical \" fingerprints\" for geogenic and anthropogenic sources","interactions":[],"lastModifiedDate":"2021-03-03T19:22:54.817884","indexId":"70034988","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Arsenic in sediments, groundwater, and streamwater of a glauconitic Coastal Plain terrain, New Jersey, USA-Chemical \" fingerprints\" for geogenic and anthropogenic sources","docAbstract":"Glauconite-bearing deposits are found worldwide, but As levels have been determined for relatively few. The As content of glauconites in sediments of the Inner Coastal Plain of New Jersey can exceed 100 mg/kg, and total As concentrations (up to 5.95 μg/L) found historically and recently in streamwaters exceed the State standard. In a major watershed of the Inner Coastal Plain, chemical “fingerprints” were developed for streambed sediments and groundwater to identify contributions of As to the watershed from geologic and anthropogenic sources. The fingerprint for streambed sediments, which included Be, Cr, Fe and V, indicated that As was predominantly of geologic origin. High concentrations of dissolved organic C, nutrients (and Cl−) in shallow groundwater indicated anthropogenic inputs that provided an environment where microbial activity released As from minerals to groundwater discharging to the stream. Particulates in streamwater during high flow constituted most of the As load; the chemical patterns for these particulates resembled the geologic fingerprint of the streambed sediments. The As/Cr ratio of these suspended particles likely indicates they derived not only from runoff, but from groundwater inputs, because As contributed by groundwater is sequestered on streambed sediments. Agricultural inputs of As were not clearly identified, although chemical characteristics of some sediments indicated vehicle-related inputs of metals. Sediment sampling during dry and wet years showed that, under differing hydrologic conditions, local anthropogenic fingerprints could be obscured but the geologic fingerprint, indicating glauconitic sediments as an As source, was robust.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2011.01.034","issn":"08832927","usgsCitation":"Barringer, J., Reilly, P.A., Eberl, D.D., Blum, A., Bonin, J., Rosman, R., Hirst, B., Alebus, M., Cenno, K., and Gorska, M., 2011, Arsenic in sediments, groundwater, and streamwater of a glauconitic Coastal Plain terrain, New Jersey, USA-Chemical \" fingerprints\" for geogenic and anthropogenic sources: Applied Geochemistry, v. 26, no. 5, p. 763-776, https://doi.org/10.1016/j.apgeochem.2011.01.034.","productDescription":"14 p.","startPage":"763","endPage":"776","numberOfPages":"14","costCenters":[],"links":[{"id":243247,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215440,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.apgeochem.2011.01.034"}],"country":"United States","state":"New Jersey","otherGeospatial":"New Jersey","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.5419921875,\n 39.53793974517628\n ],\n [\n -74.68505859374999,\n 39.095962936305476\n ],\n [\n -74.06982421875,\n 39.757879992021756\n ],\n [\n -73.916015625,\n 40.212440718286466\n ],\n [\n -74.5751953125,\n 40.27952566881291\n ],\n [\n -75.21240234375,\n 39.87601941962116\n ],\n [\n -75.5419921875,\n 39.53793974517628\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"26","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ed94e4b0c8380cd498b5","contributors":{"authors":[{"text":"Barringer, Julia jbarring@usgs.gov","contributorId":169542,"corporation":false,"usgs":true,"family":"Barringer","given":"Julia","email":"jbarring@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":448718,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reilly, Pamela A. 0000-0002-2937-4490 jankowsk@usgs.gov","orcid":"https://orcid.org/0000-0002-2937-4490","contributorId":653,"corporation":false,"usgs":true,"family":"Reilly","given":"Pamela","email":"jankowsk@usgs.gov","middleInitial":"A.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":448719,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eberl, D. D.","contributorId":66282,"corporation":false,"usgs":true,"family":"Eberl","given":"D.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":448722,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blum, A.E.","contributorId":100514,"corporation":false,"usgs":true,"family":"Blum","given":"A.E.","email":"","affiliations":[],"preferred":false,"id":448727,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bonin, J.L. 0000-0002-5813-3549","orcid":"https://orcid.org/0000-0002-5813-3549","contributorId":55642,"corporation":false,"usgs":true,"family":"Bonin","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":448720,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rosman, Robert 0000-0001-5042-1872 rrosman@usgs.gov","orcid":"https://orcid.org/0000-0001-5042-1872","contributorId":2846,"corporation":false,"usgs":true,"family":"Rosman","given":"Robert","email":"rrosman@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":448721,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hirst, B.","contributorId":78555,"corporation":false,"usgs":true,"family":"Hirst","given":"B.","email":"","affiliations":[],"preferred":false,"id":448724,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Alebus, M.","contributorId":84166,"corporation":false,"usgs":true,"family":"Alebus","given":"M.","affiliations":[],"preferred":false,"id":448725,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cenno, K.","contributorId":66919,"corporation":false,"usgs":true,"family":"Cenno","given":"K.","email":"","affiliations":[],"preferred":false,"id":448723,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gorska, M.","contributorId":87773,"corporation":false,"usgs":true,"family":"Gorska","given":"M.","email":"","affiliations":[],"preferred":false,"id":448726,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70034532,"text":"70034532 - 2011 - Storage as a Metric of Catchment Comparison","interactions":[],"lastModifiedDate":"2021-04-16T21:09:39.262456","indexId":"70034532","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Storage as a Metric of Catchment Comparison","docAbstract":"The volume of water stored within a catchment, and its partitioning among groundwater, soil moisture, snowpack, vegetation, and surface water are the variables that ultimately characterize the state of the hydrologic system. Accordingly, storage may provide useful metrics for catchment comparison. Unfortunately, measuring and predicting the amount of water present in a catchment is seldom done; tracking the dynamics of these stores is even rarer. Storage moderates fluxes and exerts critical controls on a wide range of hydrologic and biologic functions of a catchment. While understanding runoff generation and other processes by which catchments release water will always be central to hydrologic science, it is equally essential to understand how catchments retain water. We have initiated a catchment comparison exercise to begin assessing the value of viewing catchments from the storage perspective. The exercise is based on existing data from five watersheds, no common experimental design, and no integrated modelling efforts. Rather, storage was estimated independently for each site. This briefing presents some initial results of the exercise, poses questions about the definitions and importance of storage and the storage perspective, and suggests future directions for ongoing activities.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.8113","issn":"08856087","usgsCitation":"McNamara, J.P., Tetzlaff, D., Bishop, K., Soulsby, C., Seyfried, M., Peters, N., Aulenbach, B., and Hooper, R., 2011, Storage as a Metric of Catchment Comparison: Hydrological Processes, v. 25, no. 21, p. 3364-3371, https://doi.org/10.1002/hyp.8113.","productDescription":"8 p.","startPage":"3364","endPage":"3371","costCenters":[],"links":[{"id":243438,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215622,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.8113"}],"volume":"25","issue":"21","noUsgsAuthors":false,"publicationDate":"2011-05-10","publicationStatus":"PW","scienceBaseUri":"505b986de4b08c986b31c01f","contributors":{"authors":[{"text":"McNamara, J. P.","contributorId":105551,"corporation":false,"usgs":false,"family":"McNamara","given":"J.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":446251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tetzlaff, D.","contributorId":106622,"corporation":false,"usgs":true,"family":"Tetzlaff","given":"D.","email":"","affiliations":[],"preferred":false,"id":446252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bishop, K.","contributorId":43191,"corporation":false,"usgs":true,"family":"Bishop","given":"K.","email":"","affiliations":[],"preferred":false,"id":446248,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Soulsby, C.","contributorId":40713,"corporation":false,"usgs":true,"family":"Soulsby","given":"C.","affiliations":[],"preferred":false,"id":446247,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Seyfried, M.","contributorId":51119,"corporation":false,"usgs":true,"family":"Seyfried","given":"M.","email":"","affiliations":[],"preferred":false,"id":446249,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peters, N.E.","contributorId":33332,"corporation":false,"usgs":true,"family":"Peters","given":"N.E.","email":"","affiliations":[],"preferred":false,"id":446245,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Aulenbach, Brent T.","contributorId":62766,"corporation":false,"usgs":true,"family":"Aulenbach","given":"Brent T.","affiliations":[],"preferred":false,"id":446250,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hooper, R.","contributorId":40036,"corporation":false,"usgs":true,"family":"Hooper","given":"R.","affiliations":[],"preferred":false,"id":446246,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70032674,"text":"70032674 - 2011 - NETPATH-WIN: an interactive user version of the mass-balance model, NETPATH","interactions":[],"lastModifiedDate":"2020-01-09T19:36:27","indexId":"70032674","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"NETPATH-WIN: an interactive user version of the mass-balance model, NETPATH","docAbstract":"NETPATH-WIN is an interactive user version of NETPATH, an inverse geochemical modeling code used to find mass-balance reaction models that are consistent with the observed chemical and isotopic composition of waters from aquatic systems. NETPATH-WIN was constructed to migrate NETPATH applications into the Microsoft WINDOWS® environment. The new version facilitates model utilization by eliminating difficulties in data preparation and results analysis of the DOS version of NETPATH, while preserving all of the capabilities of the original version. Through example applications, the note describes some of the features of NETPATH-WIN as applied to adjustment of radiocarbon data for geochemical reactions in groundwater systems.","language":"English","publisher":"Wiley","doi":"10.1111/j.1745-6584.2010.00779.x","issn":"0017467X","usgsCitation":"El-Kadi, A., Plummer, N., and Aggarwal, P., 2011, NETPATH-WIN: an interactive user version of the mass-balance model, NETPATH: Ground Water, v. 49, no. 4, p. 593-599, https://doi.org/10.1111/j.1745-6584.2010.00779.x.","productDescription":"7 p.","startPage":"593","endPage":"599","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":241733,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-12-06","publicationStatus":"PW","scienceBaseUri":"505a6141e4b0c8380cd71895","contributors":{"authors":[{"text":"El-Kadi, A. I.","contributorId":103838,"corporation":false,"usgs":true,"family":"El-Kadi","given":"A. I.","affiliations":[],"preferred":false,"id":437397,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plummer, Niel 0000-0002-4020-1013 nplummer@usgs.gov","orcid":"https://orcid.org/0000-0002-4020-1013","contributorId":190100,"corporation":false,"usgs":true,"family":"Plummer","given":"Niel","email":"nplummer@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":437396,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aggarwal, P.","contributorId":14650,"corporation":false,"usgs":true,"family":"Aggarwal","given":"P.","affiliations":[],"preferred":false,"id":437395,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70034515,"text":"70034515 - 2011 - Large shift in source of fine sediment in the upper Mississippi River","interactions":[],"lastModifiedDate":"2021-04-20T12:12:30.228932","indexId":"70034515","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Large shift in source of fine sediment in the upper Mississippi River","docAbstract":"Although sediment is a natural constituent of rivers, excess loading to rivers and streams is a leading cause of impairment and biodiversity loss. Remedial actions require identification of the sources and mechanisms of sediment supply. This task is complicated by the scale and complexity of large watersheds as well as changes in climate and land use that alter the drivers of sediment supply. Previous studies in Lake Pepin, a natural lake on the Mississippi River, indicate that sediment supply to the lake has increased 10-fold over the past 150 years. Herein we combine geochemical fingerprinting and a suite of geomorphic change detection techniques with a sediment mass balance for a tributary watershed to demonstrate that, although the sediment loading remains very large, the dominant source of sediment has shifted from agricultural soil erosion to accelerated erosion of stream banks and bluffs, driven by increased river discharge. Such hydrologic amplification of natural erosion processes calls for a new approach to watershed sediment modeling that explicitly accounts for channel and floodplain dynamics that amplify or dampen landscape processes. Further, this finding illustrates a new challenge in remediating nonpoint sediment pollution and indicates that management efforts must expand from soil erosion to factors contributing to increased water runoff.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/es2019109","issn":"0013936X","usgsCitation":"Belmont, P., Gran, K., Schottler, S., Wilcock, P., Day, S., Jennings, C., Lauer, J., Viparelli, E., Willenbring, J., Engstrom, D., and Parker, G., 2011, Large shift in source of fine sediment in the upper Mississippi River: Environmental Science & Technology, v. 45, no. 20, p. 8804-8810, https://doi.org/10.1021/es2019109.","productDescription":"7 p.","startPage":"8804","endPage":"8810","costCenters":[],"links":[{"id":243689,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"20","noUsgsAuthors":false,"publicationDate":"2011-09-15","publicationStatus":"PW","scienceBaseUri":"505a4485e4b0c8380cd66b90","contributors":{"authors":[{"text":"Belmont, P.","contributorId":67322,"corporation":false,"usgs":true,"family":"Belmont","given":"P.","email":"","affiliations":[],"preferred":false,"id":446165,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gran, K.B.","contributorId":44688,"corporation":false,"usgs":true,"family":"Gran","given":"K.B.","affiliations":[],"preferred":false,"id":446164,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schottler, S.P.","contributorId":20491,"corporation":false,"usgs":true,"family":"Schottler","given":"S.P.","email":"","affiliations":[],"preferred":false,"id":446160,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilcock, P.R.","contributorId":36709,"corporation":false,"usgs":true,"family":"Wilcock","given":"P.R.","email":"","affiliations":[],"preferred":false,"id":446162,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Day, S.S.","contributorId":42805,"corporation":false,"usgs":true,"family":"Day","given":"S.S.","email":"","affiliations":[],"preferred":false,"id":446163,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jennings, C.","contributorId":78536,"corporation":false,"usgs":true,"family":"Jennings","given":"C.","email":"","affiliations":[],"preferred":false,"id":446166,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lauer, J.W.","contributorId":104303,"corporation":false,"usgs":true,"family":"Lauer","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":446169,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Viparelli, E.","contributorId":97344,"corporation":false,"usgs":true,"family":"Viparelli","given":"E.","email":"","affiliations":[],"preferred":false,"id":446168,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Willenbring, J.K.","contributorId":107960,"corporation":false,"usgs":true,"family":"Willenbring","given":"J.K.","affiliations":[],"preferred":false,"id":446170,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Engstrom, D.R.","contributorId":88496,"corporation":false,"usgs":true,"family":"Engstrom","given":"D.R.","email":"","affiliations":[],"preferred":false,"id":446167,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Parker, G.","contributorId":31112,"corporation":false,"usgs":true,"family":"Parker","given":"G.","affiliations":[],"preferred":false,"id":446161,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70033820,"text":"70033820 - 2011 - Millennial precipitation reconstruction for the Jemez Mountains, New Mexico, reveals changing drought signal","interactions":[],"lastModifiedDate":"2018-04-03T11:24:17","indexId":"70033820","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2032,"text":"International Journal of Climatology","active":true,"publicationSubtype":{"id":10}},"title":"Millennial precipitation reconstruction for the Jemez Mountains, New Mexico, reveals changing drought signal","docAbstract":"Drought is a recurring phenomenon in the American Southwest. Since the frequency and severity of hydrologic droughts and other hydroclimatic events are of critical importance to the ecology and rapidly growing human population of this region, knowledge of long-term natural hydroclimatic variability is valuable for resource managers and policy-makers. An October–June precipitation reconstruction for the period AD 824–2007 was developed from multi-century tree-ring records of Pseudotsuga menziesii (Douglas-fir), Pinus strobiformis (Southwestern white pine) and Pinus ponderosa (Ponderosa pine) for the Jemez Mountains in Northern New Mexico. Calibration and verification statistics for the period 1896–2007 show a high level of skill, and account for a significant portion of the observed variance (>50%) irrespective of which period is used to develop or verify the regression model. Split-sample validation supports our use of a reconstruction model based on the full period of reliable observational data (1896–2007). A recent segment of the reconstruction (2000–2006) emerges as the driest 7-year period sensed by the trees in the entire record. That this period was only moderately dry in precipitation anomaly likely indicates accentuated stress from other factors, such as warmer temperatures. Correlation field maps of actual and reconstructed October–June total precipitation, sea surface temperatures and 500-mb geopotential heights show characteristics that are similar to those indicative of El Niño–Southern Oscillation patterns, particularly with regard to ocean and atmospheric conditions in the equatorial and north Pacific. Our 1184-year reconstruction of hydroclimatic variability provides long-term perspective on current and 20th century wet and dry events in Northern New Mexico, is useful to guide expectations of future variability, aids sustainable water management, provides scenarios for drought planning and as inputs for hydrologic models under a broader range of conditions than those provided by historical climate records.
","language":"English","publisher":"Wiley","doi":"10.1002/joc.2117","usgsCitation":"Touchan, R., Woodhouse, C.A., Meko, D.M., and Allen, C.D., 2011, Millennial precipitation reconstruction for the Jemez Mountains, New Mexico, reveals changing drought signal: International Journal of Climatology, v. 31, no. 6, p. 896-906, https://doi.org/10.1002/joc.2117.","productDescription":"11 p.","startPage":"896","endPage":"906","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":241842,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Jemez Mounains","volume":"31","issue":"6","noUsgsAuthors":false,"publicationDate":"2011-04-15","publicationStatus":"PW","scienceBaseUri":"505a572ee4b0c8380cd6daec","contributors":{"authors":[{"text":"Touchan, Ramzi","contributorId":77863,"corporation":false,"usgs":true,"family":"Touchan","given":"Ramzi","affiliations":[],"preferred":false,"id":442695,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woodhouse, Connie A.","contributorId":187601,"corporation":false,"usgs":false,"family":"Woodhouse","given":"Connie","email":"","middleInitial":"A.","affiliations":[{"id":32413,"text":"University of Arizona, Tucson, AZ, USA, 85721","active":true,"usgs":false}],"preferred":false,"id":442697,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meko, David M.","contributorId":145887,"corporation":false,"usgs":false,"family":"Meko","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":442696,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allen, Craig D. 0000-0002-8777-5989 craig_allen@usgs.gov","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":2597,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"craig_allen@usgs.gov","middleInitial":"D.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":442694,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70032682,"text":"70032682 - 2011 - The importance of warm season warming to western U.S. streamflow changes","interactions":[],"lastModifiedDate":"2012-03-12T17:21:23","indexId":"70032682","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"The importance of warm season warming to western U.S. streamflow changes","docAbstract":"Warm season climate warming will be a key driver of annual streamflow changes in four major river basins of the western U.S., as shown by hydrological model simulations using fixed precipitation and idealized seasonal temperature changes based on climate projections with SRES A2 forcing. Warm season (April-September) warming reduces streamflow throughout the year; streamflow declines both immediately and in the subsequent cool season. Cool season (October-March) warming, by contrast, increases streamflow immediately, partially compensating for streamflow reductions during the subsequent warm season. A uniform warm season warming of 3C drives a wide range of annual flow declines across the basins: 13.3%, 7.2%, 1.8%, and 3.6% in the Colorado, Columbia, Northern and Southern Sierra basins, respectively. The same warming applied during the cool season gives annual declines of only 3.5%, 1.7%, 2.1%, and 3.1%, respectively. Copyright 2011 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2011GL049660","issn":"00948276","usgsCitation":"Das, T., Pierce, D., Cayan, D., Vano, J., and Lettenmaier, D., 2011, The importance of warm season warming to western U.S. streamflow changes: Geophysical Research Letters, v. 38, no. 23, https://doi.org/10.1029/2011GL049660.","costCenters":[],"links":[{"id":475219,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011gl049660","text":"Publisher Index Page"},{"id":213671,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011GL049660"},{"id":241322,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"23","noUsgsAuthors":false,"publicationDate":"2011-12-15","publicationStatus":"PW","scienceBaseUri":"505bad02e4b08c986b3238f6","contributors":{"authors":[{"text":"Das, T.","contributorId":99383,"corporation":false,"usgs":true,"family":"Das","given":"T.","email":"","affiliations":[],"preferred":false,"id":437431,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pierce, D.W.","contributorId":23342,"corporation":false,"usgs":true,"family":"Pierce","given":"D.W.","email":"","affiliations":[],"preferred":false,"id":437427,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cayan, D.R.","contributorId":25961,"corporation":false,"usgs":false,"family":"Cayan","given":"D.R.","email":"","affiliations":[{"id":16196,"text":"Scripps Institution of Oceanography, La Jolla, CA","active":true,"usgs":false}],"preferred":false,"id":437428,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vano, J.A.","contributorId":73018,"corporation":false,"usgs":true,"family":"Vano","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":437430,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lettenmaier, D.P.","contributorId":61175,"corporation":false,"usgs":true,"family":"Lettenmaier","given":"D.P.","email":"","affiliations":[],"preferred":false,"id":437429,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70033945,"text":"70033945 - 2011 - Rangewide phylogeography and landscape genetics of the Western U.S. endemic frog Rana boylii (Ranidae): Implications for the conservation of frogs and rivers","interactions":[],"lastModifiedDate":"2012-03-12T17:21:31","indexId":"70033945","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Rangewide phylogeography and landscape genetics of the Western U.S. endemic frog Rana boylii (Ranidae): Implications for the conservation of frogs and rivers","docAbstract":"Genetic data are increasingly being used in conservation planning for declining species. We sampled both the ecological and distributional limits of the foothill yellow-legged frog, Rana boylii to characterize mitochondrial DNA (mtDNA) variation in this declining, riverine amphibian. We evaluated 1525 base pairs (bp) of cytochrome b and ND2 fragments for 77 individuals from 34 localities using phylogenetic and population genetic analyses. We constructed gene trees using maximum likelihood and Bayesian inference, and quantified genetic variance (using AMOVA and partial Mantel tests) within and among hydrologic regions and river basins. Several moderately supported, geographically-cohesive mtDNA clades were recovered for R. boylii. While genetic variation was low among populations in the largest, most inclusive clade, samples from localities at the edges of the geographic range demonstrated substantial genetic divergence from each other and from more central populations. Hydrologic regions and river basins, which represent likely dispersal corridors for R. boylii, accounted for significant levels of genetic variation. These results suggest that both rivers and larger hydrologic and geographic regions should be used in conservation planning for R. boylii. ?? 2010 US Government.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Conservation Genetics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s10592-010-0138-0","issn":"15660621","usgsCitation":"Lind, A., Spinks, P., Fellers, G.M., and Shaffer, H., 2011, Rangewide phylogeography and landscape genetics of the Western U.S. endemic frog Rana boylii (Ranidae): Implications for the conservation of frogs and rivers: Conservation Genetics, v. 12, no. 1, p. 269-284, https://doi.org/10.1007/s10592-010-0138-0.","startPage":"269","endPage":"284","numberOfPages":"16","costCenters":[],"links":[{"id":214509,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10592-010-0138-0"},{"id":242243,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-10-09","publicationStatus":"PW","scienceBaseUri":"505a94aae4b0c8380cd81546","contributors":{"authors":[{"text":"Lind, A.J.","contributorId":46763,"corporation":false,"usgs":true,"family":"Lind","given":"A.J.","email":"","affiliations":[],"preferred":false,"id":443325,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spinks, P.Q.","contributorId":13454,"corporation":false,"usgs":true,"family":"Spinks","given":"P.Q.","email":"","affiliations":[],"preferred":false,"id":443323,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fellers, G. M.","contributorId":82653,"corporation":false,"usgs":true,"family":"Fellers","given":"G.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":443326,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shaffer, H.B.","contributorId":32106,"corporation":false,"usgs":true,"family":"Shaffer","given":"H.B.","email":"","affiliations":[],"preferred":false,"id":443324,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70034589,"text":"70034589 - 2011 - MercNet: A national monitoring network to assess responses to changing mercury emissions in the United States","interactions":[],"lastModifiedDate":"2020-01-11T11:07:19","indexId":"70034589","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"title":"MercNet: A national monitoring network to assess responses to changing mercury emissions in the United States","docAbstract":"A partnership of federal and state agencies, tribes, industry, and scientists from academic research and environmental organizations is establishing a national, policy-relevant mercury monitoring network, called MercNet, to address key questions concerning changes in anthropogenic mercury emissions and deposition, associated linkages to ecosystem effects, and recovery from mercury contamination. This network would quantify mercury in the atmosphere, land, water, and biota in terrestrial, freshwater, and coastal ecosystems to provide a national scientific capability for evaluating the benefits and effectiveness of emission controls. Program development began with two workshops, convened to establish network goals, to select key indicators for monitoring, to propose a geographic network of monitoring sites, and to design a monitoring plan. MercNet relies strongly on multi-institutional partnerships to secure the capabilities and comprehensive data that are needed to develop, calibrate, and refine predictive mercury models and to guide effective management. Ongoing collaborative efforts include the: (1) development of regional multi-media databases on mercury in the Laurentian Great Lakes, northeastern United States, and eastern Canada; (2) syntheses and reporting of these data for the scientific and policy communities; and (3) evaluation of potential monitoring sites. The MercNet approach could be applied to the development of other monitoring programs, such as emerging efforts to monitor and assess global mercury emission controls.
","language":"English","publisher":"Elsevier","doi":"10.1007/s10646-011-0756-4","issn":"09639292","usgsCitation":"Schmeltz, D., Evers, D., Driscoll, C.T., Artz, R., Cohen, M., Gay, D., Haeuber, R., Krabbenhoft, D., Mason, R., Morris, K., and Wiener, J., 2011, MercNet: A national monitoring network to assess responses to changing mercury emissions in the United States: Ecotoxicology, v. 20, no. 7, p. 1713-1725, https://doi.org/10.1007/s10646-011-0756-4.","productDescription":"13 p.","startPage":"1713","endPage":"1725","numberOfPages":"13","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":243846,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"7","noUsgsAuthors":false,"publicationDate":"2011-09-08","publicationStatus":"PW","scienceBaseUri":"505a53c1e4b0c8380cd6ccc1","contributors":{"authors":[{"text":"Schmeltz, D.","contributorId":14662,"corporation":false,"usgs":true,"family":"Schmeltz","given":"D.","email":"","affiliations":[],"preferred":false,"id":446531,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evers, D.C.","contributorId":36501,"corporation":false,"usgs":true,"family":"Evers","given":"D.C.","email":"","affiliations":[],"preferred":false,"id":446533,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Driscoll, C. T.","contributorId":47530,"corporation":false,"usgs":false,"family":"Driscoll","given":"C.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":446536,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Artz, R.","contributorId":16242,"corporation":false,"usgs":true,"family":"Artz","given":"R.","affiliations":[],"preferred":false,"id":446532,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cohen, M.","contributorId":92886,"corporation":false,"usgs":true,"family":"Cohen","given":"M.","email":"","affiliations":[],"preferred":false,"id":446539,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gay, D.","contributorId":10635,"corporation":false,"usgs":true,"family":"Gay","given":"D.","affiliations":[],"preferred":false,"id":446529,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Haeuber, R.","contributorId":52528,"corporation":false,"usgs":true,"family":"Haeuber","given":"R.","affiliations":[],"preferred":false,"id":446537,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Krabbenhoft, D. P. 0000-0003-1964-5020","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":90765,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"D. P.","affiliations":[],"preferred":false,"id":446538,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mason, R.","contributorId":11439,"corporation":false,"usgs":true,"family":"Mason","given":"R.","affiliations":[],"preferred":false,"id":446530,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Morris, K.","contributorId":38805,"corporation":false,"usgs":true,"family":"Morris","given":"K.","email":"","affiliations":[],"preferred":false,"id":446534,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wiener, J.G.","contributorId":44107,"corporation":false,"usgs":true,"family":"Wiener","given":"J.G.","email":"","affiliations":[],"preferred":false,"id":446535,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70032681,"text":"70032681 - 2011 - Hydrologic response of catchments to precipitation: Quantification of mechanical carriers and origins of water","interactions":[],"lastModifiedDate":"2012-03-12T17:21:23","indexId":"70032681","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic response of catchments to precipitation: Quantification of mechanical carriers and origins of water","docAbstract":"Precipitation-induced overland and groundwater flow and mixing processes are quantified to analyze the temporal (event and pre-event water) and spatial (groundwater discharge and overland runoff) origins of water entering a stream. Using a distributed-parameter control volume finite-element simulator that can simultaneously solve the fully coupled partial differential equations describing 2-D Manning and 3-D Darcian flow and advective-dispersive transport, mechanical flow (driven by hydraulic potential) and tracer-based hydrograph separation (driven by dispersive mixing as well as mechanical flow) are simulated in response to precipitation events in two cross sections oriented parallel and perpendicular to a stream. The results indicate that as precipitation becomes more intense, the subsurface mechanical flow contributions tend to become less significant relative to the total pre-event stream discharge. Hydrodynamic mixing can play an important role in enhancing pre-event tracer signals in the stream. This implies that temporally tagged chemical signals introduced into surface-subsurface flow systems from precipitation may not be strong enough to detect the changes in the subsurface flow system. It is concluded that diffusive/dispersive mixing, capillary fringe groundwater ridging, and macropore flow can influence the temporal sources of water in the stream, but any sole mechanism may not fully explain the strong pre-event water discharge. Further investigations of the influence of heterogeneity, residence time, geomorphology, and root zone processes are required to confirm the conclusions of this study. Copyright 2011 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2010WR010075","issn":"00431397","usgsCitation":"Park, Y., Sudicky, E., Brookfield, A., and Jones, J., 2011, Hydrologic response of catchments to precipitation: Quantification of mechanical carriers and origins of water: Water Resources Research, v. 47, no. 12, https://doi.org/10.1029/2010WR010075.","costCenters":[],"links":[{"id":475150,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010wr010075","text":"Publisher Index Page"},{"id":213644,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2010WR010075"},{"id":241291,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"12","noUsgsAuthors":false,"publicationDate":"2011-12-15","publicationStatus":"PW","scienceBaseUri":"505a3685e4b0c8380cd6079a","contributors":{"authors":[{"text":"Park, Y.-J.","contributorId":14645,"corporation":false,"usgs":true,"family":"Park","given":"Y.-J.","email":"","affiliations":[],"preferred":false,"id":437423,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sudicky, E.A.","contributorId":67237,"corporation":false,"usgs":true,"family":"Sudicky","given":"E.A.","email":"","affiliations":[],"preferred":false,"id":437425,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brookfield, A.E.","contributorId":38784,"corporation":false,"usgs":true,"family":"Brookfield","given":"A.E.","affiliations":[],"preferred":false,"id":437424,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, J.P.","contributorId":101093,"corporation":false,"usgs":true,"family":"Jones","given":"J.P.","email":"","affiliations":[],"preferred":false,"id":437426,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70033884,"text":"70033884 - 2011 - Calibration of models using groundwater age","interactions":[],"lastModifiedDate":"2020-01-28T17:06:03","indexId":"70033884","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Calibration of models using groundwater age","docAbstract":"There have been substantial efforts recently by geochemists to determine the age of groundwater (time since water entered the system) and its uncertainty, and by hydrologists to use these data to help calibrate groundwater models. This essay discusses the calibration of models using groundwater age, with conclusions that emphasize what is practical given current limitations rather than theoretical possibilities.","language":"English, French","publisher":"Springer","doi":"10.1007/s10040-010-0637-6","issn":"14312174","usgsCitation":"Sanford, W.E., 2011, Calibration of models using groundwater age: Hydrogeology Journal, v. 19, no. 1, p. 13-16, https://doi.org/10.1007/s10040-010-0637-6.","productDescription":"4 p.","startPage":"13","endPage":"16","costCenters":[{"id":434,"text":"National Research Program","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":241811,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-09-24","publicationStatus":"PW","scienceBaseUri":"5059f316e4b0c8380cd4b5c1","contributors":{"authors":[{"text":"Sanford, Ward E. 0000-0002-6624-0280 wsanford@usgs.gov","orcid":"https://orcid.org/0000-0002-6624-0280","contributorId":2268,"corporation":false,"usgs":true,"family":"Sanford","given":"Ward","email":"wsanford@usgs.gov","middleInitial":"E.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":780677,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70034541,"text":"70034541 - 2011 - Landscape evolution in south-central Minnesota and the role of geomorphic history on modern erosional processes","interactions":[],"lastModifiedDate":"2012-03-12T17:21:39","indexId":"70034541","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Landscape evolution in south-central Minnesota and the role of geomorphic history on modern erosional processes","docAbstract":"The Minnesota River Valley was carved during catastrophic drainage of glacial Lake Agassiz at the end of the late Pleistocene. The ensuing base-level drop on tributaries created knickpoints that excavated deep valleys as they migrated upstream. A sediment budget compiled in one of these tributaries, the Le Sueur River, shows that these deep valleys are now the primary source of sediment to the Minnesota River. To compare modern sediment loads with pre-European settlement erosion rates, we analyzed incision history using fluvial terrace ages to constrain a valley incision model. Results indicate that even thoughthe dominant sediment sources are derived from natural sources (bluffs, ravines, and streambanks), erosion rates have increased substantially, due in part to pervasive changes in watershed hydrology.","largerWorkTitle":"GSA Today","language":"English","doi":"10.1130/G121A.1","issn":"10525173","usgsCitation":"Gran, K., Belmont, P., Day, S., Finnegan, N., Jennings, C., Lauer, J., and Wilcock, P., 2011, Landscape evolution in south-central Minnesota and the role of geomorphic history on modern erosional processes, in GSA Today, v. 21, no. 9, p. 7-9, https://doi.org/10.1130/G121A.1.","startPage":"7","endPage":"9","numberOfPages":"3","costCenters":[],"links":[{"id":243566,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215743,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/G121A.1"}],"volume":"21","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a440ee4b0c8380cd66800","contributors":{"authors":[{"text":"Gran, K.B.","contributorId":44688,"corporation":false,"usgs":true,"family":"Gran","given":"K.B.","affiliations":[],"preferred":false,"id":446303,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belmont, P.","contributorId":67322,"corporation":false,"usgs":true,"family":"Belmont","given":"P.","email":"","affiliations":[],"preferred":false,"id":446304,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Day, S.S.","contributorId":42805,"corporation":false,"usgs":true,"family":"Day","given":"S.S.","email":"","affiliations":[],"preferred":false,"id":446302,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Finnegan, N.","contributorId":106727,"corporation":false,"usgs":true,"family":"Finnegan","given":"N.","email":"","affiliations":[],"preferred":false,"id":446307,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jennings, C.","contributorId":78536,"corporation":false,"usgs":true,"family":"Jennings","given":"C.","email":"","affiliations":[],"preferred":false,"id":446305,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lauer, J.W.","contributorId":104303,"corporation":false,"usgs":true,"family":"Lauer","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":446306,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wilcock, P.R.","contributorId":36709,"corporation":false,"usgs":true,"family":"Wilcock","given":"P.R.","email":"","affiliations":[],"preferred":false,"id":446301,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70033846,"text":"70033846 - 2011 - Lake carbonate-δ18 records from the Yukon Territory, Canada: Little Ice Age moisture variability and patterns","interactions":[],"lastModifiedDate":"2015-03-12T11:48:59","indexId":"70033846","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Lake carbonate-δ18 records from the Yukon Territory, Canada: Little Ice Age moisture variability and patterns","docAbstract":"A 1000-yr history of climate change in the central Yukon Territory, Canada, is inferred from sediment composition and isotope geochemistry from small, groundwater fed, Seven Mile Lake. Recent observations of lake-water δ18O, lake level, river discharge, and climate variations, suggest that changes in regional effective moisture (precipitation minus evaporation) are reflected by the lake’s hydrologic balance. The observations indicate that the lake is currently 18O-enriched by summer evaporation and that during years of increased precipitation, when groundwater inflow rates to the lake increase, lake-water δ18O values decrease. Past lake-water δ18O values are inferred from oxygen isotope ratios of fine-grained sedimentary endogenic carbonate. Variations in carbonate δ18O, supplemented by those in carbonate and organic δ13C, C/N ratios, and organic carbon, carbonate and biogenic silica accumulation rates, document changes in effective moisture at decadal time scales during the early Little Ice Age period to present. Results indicate that between ∼AD 1000 and 1600, effective moisture was higher than today. A shift to more arid climate conditions occurred after ∼AD 1650. The 19th and 20th centuries have been the driest of the past millennium. Temporal variations correspond with inferred shifts in summer evaporation from Marcella Lake δ18O, a similarly small, stratified, alkaline lake located ∼250 km to the southwest, suggesting that the combined reconstructions accurately document the regional paleoclimate of the east-central interior. Comparison with regional glacial activity suggests differing regional moisture patterns during early and late Little Ice Age advances.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2011.01.005","issn":"02773791","usgsCitation":"Anderson, L., Finney, B., and Shapley, M.D., 2011, Lake carbonate-δ18 records from the Yukon Territory, Canada: Little Ice Age moisture variability and patterns: Quaternary Science Reviews, v. 30, no. 7-8, p. 887-898, https://doi.org/10.1016/j.quascirev.2011.01.005.","productDescription":"12 p.","startPage":"887","endPage":"898","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":242236,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214503,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.quascirev.2011.01.005"}],"country":"Canada","otherGeospatial":"Yukon Territory","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -141.064453125,\n 60.02095215374802\n ],\n [\n -141.064453125,\n 69.65708627301174\n ],\n [\n -123.48632812499999,\n 69.65708627301174\n ],\n [\n -123.48632812499999,\n 60.02095215374802\n ],\n [\n -141.064453125,\n 60.02095215374802\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"30","issue":"7-8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a415ae4b0c8380cd654c3","contributors":{"authors":[{"text":"Anderson, Lesleigh 0000-0002-5264-089X land@usgs.gov","orcid":"https://orcid.org/0000-0002-5264-089X","contributorId":436,"corporation":false,"usgs":true,"family":"Anderson","given":"Lesleigh","email":"land@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":442815,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Finney, Bruce P.","contributorId":88074,"corporation":false,"usgs":true,"family":"Finney","given":"Bruce P.","affiliations":[],"preferred":false,"id":442817,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shapley, Mark D.","contributorId":74974,"corporation":false,"usgs":true,"family":"Shapley","given":"Mark","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":442816,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70035024,"text":"70035024 - 2011 - Demasculinization of male fish by wastewater treatment plant effluent","interactions":[],"lastModifiedDate":"2021-05-28T15:09:24.800561","indexId":"70035024","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":874,"text":"Aquatic Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Demasculinization of male fish by wastewater treatment plant effluent","docAbstract":"Adult male fathead minnows (Pimephales promelas) were exposed to effluent from the City of Boulder, Colorado wastewater treatment plant (WWTP) under controlled conditions in the field to determine if the effluent induced reproductive disruption in fish. Gonadal intersex and other evidence of reproductive disruption were previously identified in white suckers (Catostomus commersoni) in Boulder Creek downstream from this WWTP effluent outfall. Fish were exposed within a mobile flow-through exposure laboratory in July 2005 and August 2006 to WWTP effluent (EFF), Boulder Creek water (REF), or mixtures of EFF and REF for up to 28 days. Primary (sperm abundance) and secondary (nuptial tubercles and dorsal fat pads) sex characteristics were demasculinized within 14 days of exposure to 50% and 100% EFF. Vitellogenin was maximally elevated in both 50% and 100% EFF treatments within 7 days and significantly elevated by 25% EFF within 14 days. The steroidal estrogens 17β-estradiol, estrone, estriol, and 17α-ethynylestradiol, as well as estrogenic alkylphenols and bisphenol A were identified within the EFF treatments and not in the REF treatment. These results support the hypothesis that the reproductive disruption observed in this watershed is due to endocrine-active chemicals in the WWTP effluent.
In Nepal, as the spatial distribution of rain gauges is not sufficient to provide detailed perspective on the highly varied spatial nature of rainfall, satellite‐based rainfall estimates provides the opportunity for timely estimation. This paper presents the flood prediction of Narayani Basin at the Devghat hydrometric station (32 000 km2) using bias‐adjusted satellite rainfall estimates and the Geospatial Stream Flow Model (GeoSFM), a spatially distributed, physically based hydrologic model. The GeoSFM with gridded gauge observed rainfall inputs using kriging interpolation from 2003 was used for calibration and 2004 for validation to simulate stream flow with both having a Nash Sutcliff Efficiency of above 0.7. With the National Oceanic and Atmospheric Administration Climate Prediction Centre's rainfall estimates (CPC_RFE2.0), using the same calibrated parameters, for 2003 the model performance deteriorated but improved after recalibration with CPC_RFE2.0 indicating the need to recalibrate the model with satellite‐based rainfall estimates. Adjusting the CPC_RFE2.0 by a seasonal, monthly and 7‐day moving average ratio, improvement in model performance was achieved. Furthermore, a new gauge‐satellite merged rainfall estimates obtained from ingestion of local rain gauge data resulted in significant improvement in flood predictability. The results indicate the applicability of satellite‐based rainfall estimates in flood prediction with appropriate bias correction.
","language":"English","publisher":"Wiley","doi":"10.1111/j.1753-318X.2011.01121.x","issn":"1753318X","usgsCitation":"Shrestha, M., Artan, G.A., Bajracharya, S., Gautam, D., and Tokar, S., 2011, Bias-adjusted satellite-based rainfall estimates for predicting floods: Narayani Basin: Journal of Flood Risk Management, v. 4, no. 4, p. 360-373, https://doi.org/10.1111/j.1753-318X.2011.01121.x.","productDescription":"14 p.","startPage":"360","endPage":"373","costCenters":[],"links":[{"id":244627,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216741,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1753-318X.2011.01121.x"}],"country":"Nepal","otherGeospatial":"Narayani Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 83.7158203125,\n 29.36302703778376\n ],\n [\n 83.43017578125,\n 28.536274512989916\n ],\n [\n 86.7919921875,\n 27.430289738862594\n ],\n [\n 87.0556640625,\n 28.05259082333983\n ],\n [\n 83.7158203125,\n 29.36302703778376\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-09-13","publicationStatus":"PW","scienceBaseUri":"5059f0d6e4b0c8380cd4a943","contributors":{"authors":[{"text":"Shrestha, M.S.","contributorId":45547,"corporation":false,"usgs":true,"family":"Shrestha","given":"M.S.","email":"","affiliations":[],"preferred":false,"id":445664,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Artan, G. A.","contributorId":50733,"corporation":false,"usgs":false,"family":"Artan","given":"G.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":445665,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bajracharya, S.R.","contributorId":25387,"corporation":false,"usgs":true,"family":"Bajracharya","given":"S.R.","email":"","affiliations":[],"preferred":false,"id":445663,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gautam, D.K.","contributorId":90568,"corporation":false,"usgs":true,"family":"Gautam","given":"D.K.","email":"","affiliations":[],"preferred":false,"id":445667,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tokar, S.A.","contributorId":67331,"corporation":false,"usgs":true,"family":"Tokar","given":"S.A.","email":"","affiliations":[],"preferred":false,"id":445666,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70035088,"text":"70035088 - 2011 - Glacial flour dust storms in the Gulf of Alaska: hydrologic and meteorological controls and their importance as a source of bioavailable iron","interactions":[],"lastModifiedDate":"2018-05-02T21:30:12","indexId":"70035088","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Glacial flour dust storms in the Gulf of Alaska: hydrologic and meteorological controls and their importance as a source of bioavailable iron","docAbstract":"Iron is an essential micronutrient that limits primary productivity in much of the ocean, including the Gulf of Alaska (GoA). However, the processes that transport iron to the ocean surface are poorly quantified. We combine satellite and meteorological data to provide the first description of widespread dust transport from coastal Alaska into the GoA. Dust is frequently transported from glacially-derived sediment at the mouths of several rivers, the most prominent of which is the Copper River. These dust events occur most frequently in autumn, when coastal river levels are low and riverbed sediments are exposed. The dust plumes are transported several hundred kilometers beyond the continental shelf into iron-limited waters. We estimate the mass of dust transported from the Copper River valley during one 2006 dust event to be between 25–80 ktons. Based on conservative estimates, this equates to a soluble iron loading of 30–200 tons. We suggest the soluble Fe flux from dust originating in glaciofluvial sediment deposits from the entire GoA coastline is two to three times larger, and is comparable to the annual Fe flux to GoA surface waters from eddies of coastal origin. Given that glaciers are retreating in the coastal GoA region and in other locations, it is important to examine whether fluxes of dust are increasing from glacierized landscapes to the ocean, and to assess the impact of associated Fe on marine ecosystems.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","doi":"10.1029/2010GL046573","issn":"00948276","usgsCitation":"Crusius, J., Schroth, A., Gasso, S., Moy, C., Levy, R., and Gatica, M., 2011, Glacial flour dust storms in the Gulf of Alaska: hydrologic and meteorological controls and their importance as a source of bioavailable iron: Geophysical Research Letters, v. 38, no. 6, L06602, https://doi.org/10.1029/2010GL046573.","productDescription":"L06602","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":487246,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010gl046573","text":"Publisher Index Page"},{"id":243288,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215480,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2010GL046573"}],"otherGeospatial":"Gulf Of Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -170.5,47.0 ], [ -170.5,61.7 ], [ -123.6,61.7 ], [ -123.6,47.0 ], [ -170.5,47.0 ] ] ] } } ] }","volume":"38","issue":"6","noUsgsAuthors":false,"publicationDate":"2011-03-18","publicationStatus":"PW","scienceBaseUri":"505a2901e4b0c8380cd5a5dc","contributors":{"authors":[{"text":"Crusius, John 0000-0003-2554-0831 jcrusius@usgs.gov","orcid":"https://orcid.org/0000-0003-2554-0831","contributorId":2155,"corporation":false,"usgs":true,"family":"Crusius","given":"John","email":"jcrusius@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":449237,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schroth, A.W.","contributorId":79707,"corporation":false,"usgs":true,"family":"Schroth","given":"A.W.","email":"","affiliations":[],"preferred":false,"id":449238,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gasso, S.","contributorId":28447,"corporation":false,"usgs":true,"family":"Gasso","given":"S.","affiliations":[],"preferred":false,"id":449236,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moy, C.M.","contributorId":81328,"corporation":false,"usgs":true,"family":"Moy","given":"C.M.","email":"","affiliations":[],"preferred":false,"id":449239,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Levy, R.C.","contributorId":11435,"corporation":false,"usgs":true,"family":"Levy","given":"R.C.","email":"","affiliations":[],"preferred":false,"id":449234,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gatica, M.","contributorId":24191,"corporation":false,"usgs":true,"family":"Gatica","given":"M.","affiliations":[],"preferred":false,"id":449235,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70034822,"text":"70034822 - 2011 - Biomarkers of mercury exposure in two eastern Ukraine cities","interactions":[],"lastModifiedDate":"2020-01-11T11:55:30","indexId":"70034822","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2404,"text":"Journal of Occupational and Environmental Hygiene","active":true,"publicationSubtype":{"id":10}},"title":"Biomarkers of mercury exposure in two eastern Ukraine cities","docAbstract":"This study evaluates biomarkers of mercury exposure among residents of Horlivka, a city in eastern Ukraine located in an area with geologic and industrial sources of environmental mercury, and residents of Artemivsk, a nearby comparison city outside the mercury-enriched area. Samples of urine, blood, hair, and nails were collected from study participants, and a questionnaire was administered to obtain data on age, gender, occupational history, smoking, alcohol consumption, fish consumption, tattoos, dental amalgams, home heating system, education, source of drinking water, and family employment in mines. Median biomarker mercury concentrations in Artemivsk were 0.26 μg/g-Cr (urine), 0.92 μg/L (blood), 0.42 μg/g (hair), 0.11 μg/g (toenails), and 0.09 μg/g (fingernails); median concentrations in Horlivka were 0.15 μg/g-Cr (urine), 1.01 μg/L (blood), 0.14 μg/g (hair), 0.31 μg/g (toenails), and 0.31 μg/g (fingernails). Biomarkers of mercury exposure for study participants from Horlivka and Artemivsk are low in comparison with occupationally exposed workers at a mercury recycling facility in Horlivka and in comparison with exposures known to be associated with clinical effects. Blood and urinary mercury did not suggest a higher mercury exposure among Horlivka residents as compared with Artemivsk; however, three individuals living in the immediate vicinity of the mercury mines had elevated blood and urinary mercury, relative to overall results for either city. For a limited number of residents from Horlivka (N = 7) and Artemivsk (N = 4), environmental samples (vacuum cleaner dust, dust wipes, soil) were collected from their residences. Mercury concentrations in vacuum cleaner dust and soil were good predictors of blood and urinary mercury.
To investigate the mechanism for diel (24h) changes commonly observed at fixed sampling locations and how these diel changes relate to downstream transport in hypereutrophic surface waters, we studied a parcel of agricultural drainage water as it traveled for 84h in a concrete-lined channel having no additional water inputs or outputs. Algal fluorescence, dissolved oxygen, temperature, pH, conductivity, and turbidity were measured every 30min. Grab samples were collected every 2h for water quality analyses, including nutrients, suspended sediment, and chlorophyll/pheophytin. Strong diel patterns were observed for dissolved oxygen, pH, and temperature within the parcel of water. In contrast, algal pigments and nitrate did not exhibit diel patterns within the parcel of water, but did exhibit strong diel patterns for samples collected at a fixed sampling location. The diel patterns observed at fixed sampling locations for these constituents can be attributed to algal growth during the day and downstream transport (washout) of algae at night. Algal pigments showed a rapid daytime increase during the first 48h followed by a general decrease for the remainder of the study, possibly due to sedimentation and photobleaching. Algal growth (primarily diatoms) was apparent each day during the study, as measured by increasing dissolved oxygen concentrations, despite low phosphate concentrations (<0.01mgL-1).
","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2011.01.029","issn":"00092541","usgsCitation":"Volkmar, E., Dahlgren, R., Stringfellow, W., Henson, S., Borglin, S., Kendall, C., and Van Nieuwenhuyse, E., 2011, Using Lagrangian sampling to study water quality during downstream transport in the San Luis Drain, California, USA: Chemical Geology, v. 283, no. 1-2, p. 68-77, https://doi.org/10.1016/j.chemgeo.2011.01.029.","productDescription":"10 p.","startPage":"68","endPage":"77","numberOfPages":"10","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":243289,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Luis Drain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.57470703125,\n 36.83896555078597\n ],\n [\n -120.99243164062501,\n 36.83896555078597\n ],\n [\n -120.99243164062501,\n 37.13951928536274\n ],\n [\n -121.57470703125,\n 37.13951928536274\n ],\n [\n -121.57470703125,\n 36.83896555078597\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"283","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bc012e4b08c986b329ef6","contributors":{"authors":[{"text":"Volkmar, E.C.","contributorId":71022,"corporation":false,"usgs":true,"family":"Volkmar","given":"E.C.","email":"","affiliations":[],"preferred":false,"id":449392,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dahlgren, R.A.","contributorId":28409,"corporation":false,"usgs":true,"family":"Dahlgren","given":"R.A.","email":"","affiliations":[],"preferred":false,"id":449389,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stringfellow, W.T.","contributorId":90953,"corporation":false,"usgs":true,"family":"Stringfellow","given":"W.T.","email":"","affiliations":[],"preferred":false,"id":449393,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Henson, S.S.","contributorId":22598,"corporation":false,"usgs":true,"family":"Henson","given":"S.S.","email":"","affiliations":[],"preferred":false,"id":449388,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Borglin, S.E.","contributorId":69334,"corporation":false,"usgs":true,"family":"Borglin","given":"S.E.","affiliations":[],"preferred":false,"id":449391,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kendall, C. 0000-0002-0247-3405","orcid":"https://orcid.org/0000-0002-0247-3405","contributorId":35050,"corporation":false,"usgs":true,"family":"Kendall","given":"C.","affiliations":[],"preferred":false,"id":449390,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Van Nieuwenhuyse, E. E.","contributorId":13056,"corporation":false,"usgs":true,"family":"Van Nieuwenhuyse","given":"E. 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Collectively, they form common spatial units that can be used to frame the descriptions of aquatic and watershed processes. In addition, they provide the ability to simulate and route the movement of water and associated constituents throughout the landscape. Digital hydrologic networks have evolved from derivatives of mapping products to detailed, interconnected, spatially referenced networks of water pathways, drainage areas, and stream and watershed characteristics. These properties are important because they enhance the ability to spatially evaluate factors that affect the sources and transport of water‐quality constituents at various scales. SPAtially Referenced Regressions On Watershed attributes (SPARROW), a process‐based/statistical model, relies on a digital hydrologic network in order to establish relations between quantities of monitored contaminant flux, contaminant sources, and the associated physical characteristics affecting contaminant transport. Digital hydrologic networks modified from the River Reach File (RF1) and National Hydrography Dataset (NHD) geospatial datasets provided frameworks for SPARROW in six regions of the conterminous United States. In addition, characteristics of the modified RF1 were used to update estimates of mean‐annual streamflow. This produced more current flow estimates for use in SPARROW modeling.
","language":"English","publisher":"Wiley","doi":"10.1111/j.1752-1688.2011.00578.x","issn":"1093474X","usgsCitation":"Brakebill, J., Wolock, D., and Terziotti, S., 2011, Digital hydrologic networks supporting applications related to spatially referenced regression modeling: Journal of the American Water Resources Association, v. 47, no. 5, p. 916-932, https://doi.org/10.1111/j.1752-1688.2011.00578.x.","productDescription":"17 p.","startPage":"916","endPage":"932","costCenters":[],"links":[{"id":475217,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/j.1752-1688.2011.00578.x","text":"External Repository"},{"id":244564,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-08-22","publicationStatus":"PW","scienceBaseUri":"505a0120e4b0c8380cd4fadf","contributors":{"authors":[{"text":"Brakebill, J. W.","contributorId":48206,"corporation":false,"usgs":true,"family":"Brakebill","given":"J. W.","affiliations":[],"preferred":false,"id":445655,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolock, D.M. 0000-0002-6209-938X","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":36601,"corporation":false,"usgs":true,"family":"Wolock","given":"D.M.","affiliations":[],"preferred":false,"id":445654,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Terziotti, S.E.","contributorId":6287,"corporation":false,"usgs":true,"family":"Terziotti","given":"S.E.","email":"","affiliations":[],"preferred":false,"id":445653,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70034409,"text":"70034409 - 2011 - The influence of irrigation water on the hydrology and lake water budgets of two small arid-climate lakes in Khorezm, Uzbekistan","interactions":[],"lastModifiedDate":"2013-04-25T12:16:48","indexId":"70034409","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"The influence of irrigation water on the hydrology and lake water budgets of two small arid-climate lakes in Khorezm, Uzbekistan","docAbstract":"Little is known regarding the origins and hydrology of hundreds of small lakes located in the western Uzbekistan province of Khorezm, Central Asia. Situated in the Aral Sea Basin, Khorezm is a productive agricultural region, growing mainly cotton, wheat, and rice. Irrigation is provided by an extensive canal network that conveys water from the Amu Darya River (AD) throughout the province. The region receives on average 10 cm/year of precipitation, yet potential evapotranspiration exceeds this amount by about 15 times. It was hypothesized that the perennial existence of the lakes of interest depends on periodic input of excess irrigation water. This hypothesis was investigated by studying two small lakes in the region, Tuyrek and Khodjababa. In June and July 2008, surface water and shallow groundwater samples were collected at these lake systems and surrounding communities and analyzed for δ2H, δ18O, and major ion hydrochemistry to determine water sources. Water table and lake surface elevations were monitored, and the local aquifer characteristics were determined through aquifer tests. These data and climate data from a Class A evaporation pan and meteorological stations were used to estimate water budgets for both lakes. Lake evaporation was found to be about 0.7 cm/day during the study period. Results confirm that the waters sampled at both lake systems and throughout central Khorezm were evaporated from AD water to varying degrees. Together, the water budgets and stable isotope and major ion hydrochemistry data suggest that without surface water input from some source (i.e. excess irrigation water), these and other Khorezm lakes with similar hydrology may decrease in volume dramatically, potentially to the point of complete desiccation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.jhydrol.2011.09.028","issn":"00221694","usgsCitation":"Scott, J., Rosen, M.R., Saito, L., and Decker, D., 2011, The influence of irrigation water on the hydrology and lake water budgets of two small arid-climate lakes in Khorezm, Uzbekistan: Journal of Hydrology, v. 410, no. 1-2, p. 114-125, https://doi.org/10.1016/j.jhydrol.2011.09.028.","productDescription":"12 p.","startPage":"114","endPage":"125","numberOfPages":"12","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":244531,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216648,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2011.09.028"}],"country":"Uzbekistan","state":"Khorezm","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 60.06,40.56 ], [ 60.06,42.00 ], [ 62.36,42.00 ], [ 62.36,40.56 ], [ 60.06,40.56 ] ] ] } } ] }","volume":"410","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bad2ae4b08c986b323a11","contributors":{"authors":[{"text":"Scott, J.","contributorId":57795,"corporation":false,"usgs":false,"family":"Scott","given":"J.","affiliations":[],"preferred":false,"id":445648,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosen, Michael R.","contributorId":43096,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":445647,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Saito, L.","contributorId":59402,"corporation":false,"usgs":true,"family":"Saito","given":"L.","email":"","affiliations":[],"preferred":false,"id":445649,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Decker, D.L.","contributorId":71797,"corporation":false,"usgs":true,"family":"Decker","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":445650,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70034406,"text":"70034406 - 2011 - Hillslope chemical weathering across Paraná, Brazil: a data mining-GIS hybrid approach","interactions":[],"lastModifiedDate":"2015-03-12T13:29:38","indexId":"70034406","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Hillslope chemical weathering across Paraná, Brazil: a data mining-GIS hybrid approach","docAbstract":"Self-organizing map (SOM) and geographic information system (GIS) models were used to investigate the nonlinear relationships associated with geochemical weathering processes at local (~100 km2) and regional (~50,000 km2) scales. The data set consisted of 1) 22 B-horizon soil variables: P, C, pH, Al, total acidity, Ca, Mg, K, total cation exchange capacity, sum of exchangeable bases, base saturation, Cu, Zn, Fe, B, S, Mn, gammaspectrometry (total count, potassium, thorium, and uranium) and magnetic susceptibility measures; and 2) six topographic variables: elevation, slope, aspect, hydrological accumulated flux, horizontal curvature and vertical curvature. It is characterized at 304 locations from a quasi-regular grid spaced about 24 km across the state of Paraná. This data base was split into two subsets: one for analysis and modeling (274 samples) and the other for validation (30 samples) purposes. The self-organizing map and clustering methods were used to identify and classify the relations among solid-phase chemical element concentrations and GIS derived topographic models. The correlation between elevation and k-means clusters related the relative position inside hydrologic macro basins, which was interpreted as an expression of the weathering process reaching a steady-state condition at the regional scale. Locally, the chemical element concentrations were related to the vertical curvature representing concave–convex hillslope features, where concave hillslopes with convergent flux tends to be a reducing environment and convex hillslopes with divergent flux, oxidizing environments. Stochastic cross validation demonstrated that the SOM produced unbiased classifications and quantified the relative amount of uncertainty in predictions. This work strengthens the hypothesis that, at B-horizon steady-state conditions, the terrain morphometry were linked with the soil geochemical weathering in a two-way dependent process: the topographic relief was a factor on environmental geochemistry while chemical weathering was for terrain feature delineation.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2011.05.006","issn":"0169555X","usgsCitation":"Iwashita, F., Friedel, M.J., Filho, C., and Fraser, S.J., 2011, Hillslope chemical weathering across Paraná, Brazil: a data mining-GIS hybrid approach: Geomorphology, v. 132, no. 3-4, p. 167-175, https://doi.org/10.1016/j.geomorph.2011.05.006.","productDescription":"9 p.","startPage":"167","endPage":"175","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":244470,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216590,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.geomorph.2011.05.006"}],"country":"Brazil","state":"Parana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -54.58007812499999,\n -26.391869671769022\n ],\n [\n -54.58007812499999,\n -22.45164881912619\n ],\n [\n -47.9443359375,\n -22.45164881912619\n ],\n [\n -47.9443359375,\n -26.391869671769022\n ],\n [\n -54.58007812499999,\n -26.391869671769022\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"132","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a314ee4b0c8380cd5ddf4","contributors":{"authors":[{"text":"Iwashita, Fabio","contributorId":72287,"corporation":false,"usgs":true,"family":"Iwashita","given":"Fabio","email":"","affiliations":[],"preferred":false,"id":445622,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Friedel, Michael J. 0000-0002-5060-3999 mfriedel@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-3999","contributorId":595,"corporation":false,"usgs":true,"family":"Friedel","given":"Michael","email":"mfriedel@usgs.gov","middleInitial":"J.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":445621,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Filho, Carlos Roberto de Souza","contributorId":83361,"corporation":false,"usgs":true,"family":"Filho","given":"Carlos Roberto de Souza","affiliations":[],"preferred":false,"id":445619,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fraser, Stephen J.","contributorId":87769,"corporation":false,"usgs":true,"family":"Fraser","given":"Stephen","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":445620,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70036390,"text":"70036390 - 2011 - Causes of systematic over- or underestimation of low streamflows by use of index-streamgage approaches in the United States","interactions":[],"lastModifiedDate":"2013-05-23T14:51:50","indexId":"70036390","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Causes of systematic over- or underestimation of low streamflows by use of index-streamgage approaches in the United States","docAbstract":"Low-flow characteristics can be estimated by multiple linear regressions or the index-streamgage approach. The latter transfers streamflow information from a hydrologically similar, continuously gaged basin ('index streamgage') to one with a very limited streamflow record, but often results in biased estimates. The application of the index-streamgage approach can be generalized into three steps: (1) selection of streamflow information of interest, (2) definition of hydrologic similarity and selection of index streamgage, and (3) application of an information-transfer approach. Here, we explore the effects of (1) the range of streamflow values, (2) the areal density of streamgages, and (3) index-streamgage selection criteria on the bias of three information-transfer approaches on estimates of the 7-day, 10-year minimum streamflow (Q7, 10). The three information-transfer approaches considered are maintenance of variance extension, base-flow correlation, and ratio of measured to concurrent gaged streamflow (Q-ratio invariance). Our results for 1120 streamgages throughout the United States suggest that only a small portion of the total bias in estimated streamflow values is explained by the areal density of the streamgages and the hydrologic similarity between the two basins. However, restricting the range of streamflow values used in the index-streamgage approach reduces the bias of estimated Q7, 10 values substantially. Importantly, estimated Q7, 10 values are heavily biased when the observed Q7, 10 values are near zero. Results of the analysis also showed that Q7, 10 estimates from two of the three index-streamgage approaches have lower root-mean-square error values than estimates derived from multiple regressions for the large regions considered in this study.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrological Processes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/hyp.7976","issn":"08856087","usgsCitation":"Eng, K., Kiang, J., Chen, Y., Carlisle, D., and Granato, G., 2011, Causes of systematic over- or underestimation of low streamflows by use of index-streamgage approaches in the United States: Hydrological Processes, v. 25, no. 14, p. 2211-2220, https://doi.org/10.1002/hyp.7976.","productDescription":"10 p.","startPage":"2211","endPage":"2220","costCenters":[{"id":437,"text":"National Research Program - Eastern Region","active":false,"usgs":true}],"links":[{"id":246377,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218375,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.7976"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,19.0 ], [ 172.5,71.4 ], [ -70.0,71.4 ], [ -70.0,19.0 ], [ 172.5,19.0 ] ] ] } } ] }","volume":"25","issue":"14","noUsgsAuthors":false,"publicationDate":"2011-02-09","publicationStatus":"PW","scienceBaseUri":"5059f3d6e4b0c8380cd4b9c5","contributors":{"authors":[{"text":"Eng, K.","contributorId":51063,"corporation":false,"usgs":true,"family":"Eng","given":"K.","email":"","affiliations":[],"preferred":false,"id":455871,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kiang, J.E.","contributorId":101058,"corporation":false,"usgs":true,"family":"Kiang","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":455875,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chen, Y.-Y.","contributorId":52018,"corporation":false,"usgs":true,"family":"Chen","given":"Y.-Y.","email":"","affiliations":[],"preferred":false,"id":455872,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carlisle, D.M.","contributorId":81059,"corporation":false,"usgs":true,"family":"Carlisle","given":"D.M.","email":"","affiliations":[],"preferred":false,"id":455874,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Granato, G.E.","contributorId":61457,"corporation":false,"usgs":true,"family":"Granato","given":"G.E.","affiliations":[],"preferred":false,"id":455873,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70034405,"text":"70034405 - 2011 - Investigating the spatial distribution of water levels in the Mackenzie Delta using airborne LiDAR","interactions":[],"lastModifiedDate":"2021-04-21T16:38:21.588417","indexId":"70034405","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Investigating the spatial distribution of water levels in the Mackenzie Delta using airborne LiDAR","docAbstract":"Airborne light detection and ranging (LiDAR) data were used to map water level (WL) and hydraulic gradients (δH/δx) in the Mackenzie Delta. The LiDAR WL data were validated against eight independent hydrometric gauge measurements and demonstrated mean offsets from − 0·22 to + 0·04 m (σ< 0·11). LiDAR‐based WL gradients could be estimated with confidence over channel lengths exceeding 5–10 km where the WL change exceeded local noise levels in the LiDAR data. For the entire Delta, the LiDAR sample coverage indicated a rate of change in longitudinal gradient (δ2H/δx) of 5·5 × 10−10 m m−2; therefore offering a potential means to estimate average flood stage hydraulic gradient for areas of the Delta not sampled or monitored. In the Outer Delta, within‐channel and terrain gradient measurements all returned a consistent estimate of − 1 × 10−5 m m−1, suggesting that this is a typical hydraulic gradient for the downstream end of the Delta. For short reaches (<10 km) of the Peel and Middle Channels in the middle of the Delta, significant and consistent hydraulic gradient estimates of − 5 × 10−5 m m−1 were observed. Evidence that hydraulic gradients can vary over short distances, however, was observed in the Peel Channel immediately upstream of Aklavik. A positive elevation anomaly (bulge) of > 0·1 m was observed at a channel constriction entering a meander bend, suggesting a localized modification of the channel hydraulics. Furthermore, water levels in the anabranch channels of the Peel River were almost 1 m higher than in Middle Channel of the Mackenzie River. This suggests: (i) the channels are elevated and have shallower bank heights in this part of the delta, leading to increased cross‐delta and along‐channel hydraulic gradients; and/or (ii) a proportion of the Peel River flow is lost to Middle Channel due to drainage across the delta through anastamosing channels. This study has demonstrated that airborne LiDAR data contain valuable information describing Arctic river delta water surface and hydraulic attributes that would be challenging to acquire by other means.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.8167","issn":"08856087","usgsCitation":"Hopkinson, C., Crasto, N., Marsh, P., Forbes, D., and Lesack, L., 2011, Investigating the spatial distribution of water levels in the Mackenzie Delta using airborne LiDAR: Hydrological Processes, v. 25, no. 19, p. 2995-3011, https://doi.org/10.1002/hyp.8167.","productDescription":"17 p.","startPage":"2995","endPage":"3011","costCenters":[],"links":[{"id":244441,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216563,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.8167"}],"country":"Canada","otherGeospatial":"Mackenzie Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -136.669921875,\n 67.09310451852075\n ],\n [\n -130.60546875,\n 67.09310451852075\n ],\n [\n -130.60546875,\n 69.90011762668541\n ],\n [\n -136.669921875,\n 69.90011762668541\n ],\n [\n -136.669921875,\n 67.09310451852075\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"25","issue":"19","noUsgsAuthors":false,"publicationDate":"2011-06-03","publicationStatus":"PW","scienceBaseUri":"505a3e71e4b0c8380cd63dac","contributors":{"authors":[{"text":"Hopkinson, C.","contributorId":67749,"corporation":false,"usgs":true,"family":"Hopkinson","given":"C.","email":"","affiliations":[],"preferred":false,"id":445616,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crasto, N.","contributorId":21369,"corporation":false,"usgs":true,"family":"Crasto","given":"N.","email":"","affiliations":[],"preferred":false,"id":445614,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marsh, P.","contributorId":99279,"corporation":false,"usgs":true,"family":"Marsh","given":"P.","affiliations":[],"preferred":false,"id":445618,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Forbes, D.","contributorId":57681,"corporation":false,"usgs":true,"family":"Forbes","given":"D.","email":"","affiliations":[],"preferred":false,"id":445615,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lesack, L.","contributorId":84177,"corporation":false,"usgs":true,"family":"Lesack","given":"L.","email":"","affiliations":[],"preferred":false,"id":445617,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70036388,"text":"70036388 - 2011 - The high life: Transport of microbes in the atmosphere","interactions":[],"lastModifiedDate":"2023-05-10T17:50:27.990713","indexId":"70036388","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1578,"text":"Eos, Transactions, American Geophysical Union","onlineIssn":"2324-9250","printIssn":"0096-394","active":true,"publicationSubtype":{"id":10}},"title":"The high life: Transport of microbes in the atmosphere","docAbstract":"Microbes (bacteria, fungi, algae, and viruses) are the most successful types of life on Earth because of their ability to adapt to new environments, reproduce quickly, and disperse globally. Dispersal occurs through a number of vectors, such as migrating animals or the hydrological cycle, but transport by wind may be the most common way microbes spread. General awareness of airborne microbes predates the science of microbiology. People took advantage of wild airborne yeasts to cultivate lighter, more desirable bread as far back as ancient Egypt by simply leaving a mixture of grain and liquids near an open window. In 1862, Louis Pasteur's quest to disprove spontaneous generation resulted in the discovery that microbes were actually single-celled, living creatures, prevalent in the environment and easily killed with heat (pasteurization). His rudimentary experiments determined that any nutrient medium left open to the air would eventually teem with microbial life because of free-floating, colonizing cells. The same can happen in a kitchen: Opportunistic fungal and bacterial cells cause food items exposed to the air to eventually spoil.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2011EO300001","issn":"00963941","usgsCitation":"Smith, D., Griffin, D., and Jaffe, D., 2011, The high life: Transport of microbes in the atmosphere: Eos, Transactions, American Geophysical Union, v. 92, no. 30, p. 249-250, https://doi.org/10.1029/2011EO300001.","productDescription":"2 p.","startPage":"249","endPage":"250","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":475390,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011eo300001","text":"Publisher Index Page"},{"id":246375,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"92","issue":"30","noUsgsAuthors":false,"publicationDate":"2011-07-26","publicationStatus":"PW","scienceBaseUri":"505bacb8e4b08c986b3236ba","contributors":{"authors":[{"text":"Smith, D.J.","contributorId":48417,"corporation":false,"usgs":true,"family":"Smith","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":455866,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Griffin, Dale W.","contributorId":23668,"corporation":false,"usgs":true,"family":"Griffin","given":"Dale W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":455864,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jaffe, D.A.","contributorId":43713,"corporation":false,"usgs":true,"family":"Jaffe","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":455865,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}