A multidisciplinary approach involving various remote sensing instruments is used to investigate Apollinaris Mons, a prominent volcano on Mars, as well as the surrounding plains for signs of prolonged hydrologic and volcanic, and possibly hydrothermal activity. The main findings include (1) evidence from laser altimetry indicating the large thickness (1.5–2 km at some locations) of the fan deposits draping the southern flank contrary to previous estimates, coupled with possible layering which point to a significant emplacement phase at Apollinaris Mons, (2) corroboration of Robinson et al. (Robinson, M.S., Mouginis-Mark, P.J., Zimbelman, J.R., Wu, S.S.C., Ablin, K.K., Howington-Kraus, A.E. [1993]. Icarus 104, 301–323) hypothesis regarding the formation of incised valleys on the western flanks by density current erosion which would indicate magma–water interaction or, alternatively, volatile-rich magmas early in the volcano’s history, (3) mounds of diverse geometric shapes, many of which display summit depressions and occur among faults and fractures, possibly marking venting, (4) strong indicators on the flanks of the volcano for lahar events, and possibly, a caldera lake, (5) ubiquitous presence of impact craters displaying fluidized ejecta in both shield-forming (flank and caldera) materials and materials that surround the volcano that are indicative of water-rich target materials at the time of impact, (6) long-term complex association in time among shield-forming materials and Medusae Fossae Formation.
The findings point to a site of extensive volcanic and hydrologic activity with possibly a period of magma–water interaction and hydrothermal activity. Finally, we propose that the mound structures around Apollinaris should be prime targets for further in situ exploration and search for possible exobiological signatures.
","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.icarus.2011.10.022","usgsCitation":"El Maarry, M.R., Dohm, J.M., Marzo, G.A., Fergason, R., Goetz, W., Heggy, E., Pack, A., and Markiewicz, W.J., 2012, Searching for evidence of hydrothermal activity at Apollinaris Mons, Mars: Icarus, v. 217, no. 1, p. 297-314, https://doi.org/10.1016/j.icarus.2011.10.022.","productDescription":"18 p.","startPage":"297","endPage":"314","numberOfPages":"18","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":259368,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Apollinaris Mons, Mars","volume":"217","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8854e4b08c986b316900","contributors":{"authors":[{"text":"El Maarry, M. Ramy","contributorId":97367,"corporation":false,"usgs":true,"family":"El Maarry","given":"M.","email":"","middleInitial":"Ramy","affiliations":[],"preferred":false,"id":466001,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dohm, James M.","contributorId":83610,"corporation":false,"usgs":true,"family":"Dohm","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":465999,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marzo, Giuseppe A.","contributorId":28851,"corporation":false,"usgs":true,"family":"Marzo","given":"Giuseppe","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":465996,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fergason, Robin","contributorId":67767,"corporation":false,"usgs":true,"family":"Fergason","given":"Robin","affiliations":[],"preferred":false,"id":465997,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goetz, Walter","contributorId":74128,"corporation":false,"usgs":true,"family":"Goetz","given":"Walter","email":"","affiliations":[],"preferred":false,"id":465998,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Heggy, Essam","contributorId":96947,"corporation":false,"usgs":true,"family":"Heggy","given":"Essam","email":"","affiliations":[],"preferred":false,"id":466000,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pack, Andreas","contributorId":100676,"corporation":false,"usgs":true,"family":"Pack","given":"Andreas","email":"","affiliations":[],"preferred":false,"id":466002,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Markiewicz, Wojciech J.","contributorId":13852,"corporation":false,"usgs":true,"family":"Markiewicz","given":"Wojciech","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":465995,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70039284,"text":"sim3210 - 2012 - Flood-inundation maps for the Driftwood River and Sugar Creek near Edinburgh, Indiana","interactions":[],"lastModifiedDate":"2012-08-01T01:01:41","indexId":"sim3210","displayToPublicDate":"2012-07-31T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3210","title":"Flood-inundation maps for the Driftwood River and Sugar Creek near Edinburgh, Indiana","docAbstract":"Digital flood-inundation maps for an 11.2 mile reach of the Driftwood River and a 5.2 mile reach of Sugar Creek, both near Edinburgh, Indiana, were created by the U.S. Geological Survey (USGS) in cooperation with the Camp Atterbury Joint Maneuver Training Center, Edinburgh, Indiana. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent of flooding corresponding to selected water levels (stages) at the USGS streamgage 03363000 Driftwood River near Edinburgh, Ind. Current conditions at the USGS streamgage in Indiana may be obtained on the Internet at http://waterdata.usgs.gov/in/nwis/current/?type=flow. In addition, the information has been provided to the National Weather Service (NWS) for incorporation into their Advanced Hydrologic Prediction Service (AHPS) flood warning system at http://water.weather.gov/ahps/. The NWS forecasts flood hydrographs at many places that are often collocated at USGS streamgages. That forecasted peak-stage information, also available on the Internet, may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation. For this study, flood profiles were computed for the stream reaches by means of a one-dimensional step-backwater model. The model was calibrated using the most current stage-discharge relations at the USGS streamgage 03363000 Driftwood River near Edinburgh, Ind. The hydraulic model was then used to determine elevations throughout the study reaches for nine water-surface profiles for flood stages at 1-ft intervals referenced to the streamgage datum and ranging from bankfull to nearly the highest recorded water level at the USGS streamgage 03363000 Driftwood River near Edinburgh, Ind. The simulated water-surface profiles were then combined with a geospatial digital elevation model (derived from Light Detection and Ranging (LiDAR) data) in order to delineate the area flooded at each water level. The availability of these maps along with real-time information available online regarding current stage from USGS streamgages and forecasted stream stages from the NWS provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures as well as for post flood recovery efforts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3210","collaboration":"Prepared in cooperation with Camp Atterbury Joint Maneuver Training Center, Edinburgh, Indiana","usgsCitation":"Fowler, K.K., Kim, M.H., and Menke, C.D., 2012, Flood-inundation maps for the Driftwood River and Sugar Creek near Edinburgh, Indiana: U.S. Geological Survey Scientific Investigations Map 3210, v, 8 p.; map (col.); 8 MB PDF Downloads of Sheets 1-9: 17 x 22 inches; 1.1 MB PDF Downloads of Sheets 1-9: 17 x 22 inches; Downloads Directory, https://doi.org/10.3133/sim3210.","productDescription":"v, 8 p.; map (col.); 8 MB PDF Downloads of Sheets 1-9: 17 x 22 inches; 1.1 MB PDF Downloads of Sheets 1-9: 17 x 22 inches; Downloads Directory","startPage":"i","endPage":"8","numberOfPages":"17","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":259330,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3210.gif"},{"id":259318,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3210/SIM3210_Pamphlet.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259317,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3210/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Indiana","city":"Edinburgh","otherGeospatial":"Sugar Creek;Driftwood River","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a1167e4b0c8380cd53fa7","contributors":{"authors":[{"text":"Fowler, Kathleen K. 0000-0002-0107-3848 kkfowler@usgs.gov","orcid":"https://orcid.org/0000-0002-0107-3848","contributorId":2439,"corporation":false,"usgs":true,"family":"Fowler","given":"Kathleen","email":"kkfowler@usgs.gov","middleInitial":"K.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465960,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kim, Moon H. 0000-0002-4328-8409 mkim@usgs.gov","orcid":"https://orcid.org/0000-0002-4328-8409","contributorId":3211,"corporation":false,"usgs":true,"family":"Kim","given":"Moon","email":"mkim@usgs.gov","middleInitial":"H.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465962,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Menke, Chad D. cdmenke@usgs.gov","contributorId":3209,"corporation":false,"usgs":true,"family":"Menke","given":"Chad","email":"cdmenke@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":465961,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70039274,"text":"sir20125133 - 2012 - Topographic change detection at select archeological sites in Grand Canyon National Park, Arizona, 2007-2010","interactions":[],"lastModifiedDate":"2023-06-22T16:14:44.710649","indexId":"sir20125133","displayToPublicDate":"2012-07-31T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5133","title":"Topographic change detection at select archeological sites in Grand Canyon National Park, Arizona, 2007-2010","docAbstract":"Human occupation in Grand Canyon, Arizona, dates from at least 11,000 years before present to the modern era. For most of this period, the only evidence of human occupation in this iconic landscape is provided by archeological sites. Because of the dynamic nature of this environment, many archeological sites are subject to relatively rapid topographic change. Quantifying the extent, magnitude, and cause of such change is important for monitoring and managing these archeological sites. Such quantification is necessary to help inform the continuing debate on whether and how controlled releases from Glen Canyon Dam, located immediately upstream of Grand Canyon National Park, are affecting site erosion rates, artifact transport, and archeological resource preservation along the Colorado River in Grand Canyon. Although long-term topographic change resulting from a variety of natural processes is inherent in the Grand Canyon region, continued erosion of archeological sites threatens both the archeological resources and our future ability to study evidence of past cultural habitation. Thus, this subject is of considerable interest to National Park Service managers and other stakeholders in the Glen Canyon Dam Adaptive Management Program. Understanding the causes and effects of archeological site erosion requires a knowledge of several factors, including the location, timing, and magnitude of the changes occurring in relation to archeological resources, the rates of change, and the relative contribution of potential causes. These potential causes include sediment depletion associated with managed flows from Glen Canyon Dam, site-specific weather and overland flow patterns, visitor impacts, and long-term regional climate change. To obtain this information, highly accurate, spatially specific data are needed from sites undergoing change. Using terrestrial lidar techniques, and building upon three previous surveys of archeological sites performed in 2006 and 2007, we collected two new datasets in April and September 2010 and processed and improved upon existing methods to generate high-accuracy (3 to 5 cm vertical change threshold) topographic change-detection maps for 10 survey areas encompassing 9 archeological sites along the Colorado River corridor. We also used terrestrial lidar techniques to investigate several other metrics for studying archeological site stability, including monitoring cultural structures and artifacts and remotely measuring cryptobiotic soil crust areas. Our topographic change results indicate that 9 of 10 survey areas showed signs of either erosion, deposition, or both during the 2007–2010 time interval and that these changes can be linked to a variety of geomorphic processes, primarily overland flow gullying and aeolian sand transport. In several cases, large (>50 cm) vertical change occurred, and in one case, more than 100 m3 of sediment was eroded. Further, for all sites monitored throughout the river corridor during this time period, the overall signal was related to erosion rather than deposition. These results highlight the potential for rapid archeological site change in Grand Canyon. Whereas the topographic change results presented herein provide the highest level of change detection yet performed on entire archeological sites in Grand Canyon, additional work in combining these results with site-specific weather, hydrology, and geomorphology data is needed to provide a more thorough understanding of the causes of the documented topographic changes. Linking lidar-derived measurements of topographic changes with these other data sources should provide land managers with a scientific basis for making management decisions regarding archeological resources in Grand Canyon National Park and assist in answering open questions regarding the influence that sediment-depleted flows from Glen Canyon Dam have on archeological site stability.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125133","usgsCitation":"Collins, B., Corbett, S., Fairley, H., Minasian, D.L., Kayen, R., Dealy, T.P., and Bedford, D., 2012, Topographic change detection at select archeological sites in Grand Canyon National Park, Arizona, 2007-2010: U.S. Geological Survey Scientific Investigations Report 2012-5133, v, 77 p., https://doi.org/10.3133/sir20125133.","productDescription":"v, 77 p.","numberOfPages":"87","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2007-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":259305,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":259289,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5133/","linkFileType":{"id":5,"text":"html"}},{"id":259290,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5133/sir2012-5133.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.39524352909292,\n 37.00360340661588\n ],\n [\n -114.02292843711835,\n 37.00360340661588\n ],\n [\n -114.02292843711835,\n 35.681448620745286\n ],\n [\n -111.39524352909292,\n 35.681448620745286\n ],\n [\n -111.39524352909292,\n 37.00360340661588\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb477e4b08c986b3263a6","contributors":{"authors":[{"text":"Collins, Brian D.","contributorId":71641,"corporation":false,"usgs":true,"family":"Collins","given":"Brian D.","affiliations":[],"preferred":false,"id":465936,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Corbett, Skye C.","contributorId":54844,"corporation":false,"usgs":true,"family":"Corbett","given":"Skye C.","affiliations":[],"preferred":false,"id":465935,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fairley, Helen C.","contributorId":10506,"corporation":false,"usgs":true,"family":"Fairley","given":"Helen C.","affiliations":[],"preferred":false,"id":465931,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Minasian, Diane L. dminasian@usgs.gov","contributorId":3232,"corporation":false,"usgs":true,"family":"Minasian","given":"Diane","email":"dminasian@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":465930,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kayen, Robert","contributorId":12030,"corporation":false,"usgs":true,"family":"Kayen","given":"Robert","affiliations":[],"preferred":false,"id":465932,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dealy, Timothy P.","contributorId":19263,"corporation":false,"usgs":true,"family":"Dealy","given":"Timothy","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":465933,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bedford, David R.","contributorId":26352,"corporation":false,"usgs":true,"family":"Bedford","given":"David R.","affiliations":[],"preferred":false,"id":465934,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70039275,"text":"ofr20121127 - 2012 - Assessment of soil-gas contamination at the 17th Street landfill, Fort Gordon, Georgia, 2011","interactions":[],"lastModifiedDate":"2018-08-15T14:56:52","indexId":"ofr20121127","displayToPublicDate":"2012-07-31T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1127","title":"Assessment of soil-gas contamination at the 17th Street landfill, Fort Gordon, Georgia, 2011","docAbstract":"Assessments of contaminants in soil gas were conducted in two study areas at Fort Gordon, Georgia, in July and August of 2011 to supplement environmental contaminant data for previous studies at the 17th Street landfill. The two study areas include northern and eastern parts of the 17th Street landfill and the adjacent wooded areas to the north and east of the landfill. These study areas were chosen because of their close proximity to the surface water in Wilkerson Lake and McCoys Creek. A total of 48 soil-gas samplers were deployed for the July 28 to August 3, 2011, assessment in the eastern study area. The assessment mostly identified detections of total petroleum hydrocarbons (TPH), and gasoline- and diesel-range compounds, but also identified the presence of chlorinated solvents in six samplers, chloroform in three samplers, 2-methyl naphthalene in one sampler, and trimethylbenzene in one sampler. The TPH masses exceeded 0.02 microgram (μg) in all 48 samplers and exceeded 0.9 μg in 24 samplers. Undecane, one of the three diesel-range compounds used to calculate the combined mass for diesel-range compounds, was detected in 17 samplers and is the second most commonly detected compound in the eastern study area, exceeded only by the number of TPH detections. Six samplers had detections of toluene, but other gasoline compounds were detected with toluene in three of the samplers, including detections of ethylbenzene, meta- and para-xylene, and octane. All detections of chlorinated organic compounds had soil-gas masses equal to or less than 0.08 μg, including three detections of trichloroethene, three detections of perchloroethene, three chloroform detections, one 1,4-dichlorobenzene detection, and one 1,1,2-trichloroethane detection. Three methylated compounds were detected in the eastern study area, but were detected at or below method detection levels. A total of 32 soil-gas samplers were deployed for the August 11–24, 2011, assessment in the northern study area. All samplers in the survey had detections of TPH, but only eight of the samplers had detections of TPH greater than 0.9 mg. Four samplers had TPH detections greater than 9 mg; the only other fuel-related compounds detected in these four samplers included toluene in three of the samplers and undecane in the fourth sampler. Three samplers deployed along the western margin of the northern landfill had detections of both diesel-and gasoline-related compounds; however, the diesel-related compounds were detected at or below method detection levels. Seven samplers in the northern study area had detections of chlorinated compounds, including three perchloroethene detections, three chloroform detections, and one 1,4-dichloro-benzene detection. One sampler on the western margin of the landfill had detections of 1,2,4-trimethylbenzene and 1,3,5-tr-methylbenene below method detection levels.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121127","collaboration":"Prepared in cooperation with the U.S. Department of the Army Environmental and Natural Resources Management Office of the U.S. Army Signal Center and Fort Gordon","usgsCitation":"Falls, W.F., Caldwell, A.W., Guimaraes, W., Ratliff, W.H., Wellborn, J.B., and Landmeyer, J., 2012, Assessment of soil-gas contamination at the 17th Street landfill, Fort Gordon, Georgia, 2011: U.S. Geological Survey Open-File Report 2012-1127, v, 41 p.; Tables; col. ill.; maps, https://doi.org/10.3133/ofr20121127.","productDescription":"v, 41 p.; Tables; col. ill.; maps","startPage":"i","endPage":"41","numberOfPages":"52","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2011-07-28","temporalEnd":"2011-08-24","costCenters":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":259306,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1127.jpg"},{"id":259296,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1127/pdf/USGS_ofr2012-1127_Falls.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259295,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1127/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Georgia","otherGeospatial":"Fort Gordon","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ee59e4b0c8380cd49cf2","contributors":{"authors":[{"text":"Falls, W. Fred 0000-0003-2928-9795 wffalls@usgs.gov","orcid":"https://orcid.org/0000-0003-2928-9795","contributorId":107754,"corporation":false,"usgs":true,"family":"Falls","given":"W.","email":"wffalls@usgs.gov","middleInitial":"Fred","affiliations":[],"preferred":false,"id":465942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caldwell, Andral W. 0000-0003-1269-5463 acaldwel@usgs.gov","orcid":"https://orcid.org/0000-0003-1269-5463","contributorId":3228,"corporation":false,"usgs":true,"family":"Caldwell","given":"Andral","email":"acaldwel@usgs.gov","middleInitial":"W.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465937,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guimaraes, Wladmir G.","contributorId":10658,"corporation":false,"usgs":true,"family":"Guimaraes","given":"Wladmir G.","affiliations":[],"preferred":false,"id":465939,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ratliff, W. Hagan","contributorId":60347,"corporation":false,"usgs":true,"family":"Ratliff","given":"W.","email":"","middleInitial":"Hagan","affiliations":[],"preferred":false,"id":465941,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wellborn, John B.","contributorId":24822,"corporation":false,"usgs":true,"family":"Wellborn","given":"John","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":465940,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Landmeyer, James 0000-0002-5640-3816 jlandmey@usgs.gov","orcid":"https://orcid.org/0000-0002-5640-3816","contributorId":3257,"corporation":false,"usgs":true,"family":"Landmeyer","given":"James","email":"jlandmey@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465938,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70039277,"text":"ofr20121128 - 2012 - Assessment of soil-gas and groundwater contamination at the Gibson Road landfill, Fort Gordon, Georgia, 2011","interactions":[],"lastModifiedDate":"2018-08-15T14:57:15","indexId":"ofr20121128","displayToPublicDate":"2012-07-31T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1128","title":"Assessment of soil-gas and groundwater contamination at the Gibson Road landfill, Fort Gordon, Georgia, 2011","docAbstract":"Soil-gas and groundwater assessments were conducted at the Gibson Road landfill in 201 to provide screening-level environmental contamination data to supplement the data collected during previous environmental studies at the landfill. Passive samplers were used in both assessments to detect volatile and semivolatile organic compounds and polycyclic aromatic hydrocarbons in soil gas and groundwater. A total of 56 passive samplers were deployed in the soil in late July and early August for the soil-gas assessment. Total petroleum hydrocarbons (TPH) were detected at masses greater than the method detection level of 0.02 microgram in all samplers and masses greater than 2.0 micrograms in 13 samplers. Three samplers located between the landfill and a nearby wetland had TPH masses greater than 20 micrograms. Diesel was detected in 28 of the 56 soil-gas samplers. Undecane, tridecane, and pentadecane were detected, but undecane was the most common diesel compound with 23 detections. Only five detections exceeded a combined diesel mass of 0.10 microgram, including the highest mass of 0.27 microgram near the wetland. Toluene was detected in only five passive samplers, including masses of 0.65 microgram near the wetland and 0.85 microgram on the southwestern side of the landfill. The only other gasoline-related compound detected was octane in two samplers. Naphthalene was detected in two samplers in the gully near the landfill and two samplers along the southwestern side of the landfill, but had masses less than or equal to 0.02 microgram. Six samplers located southeast of the landfill had detections of chlorinated compounds, including one perchloroethene detections (0.04 microgram) and five chloroform detections (0.05 to0.08 microgram). Passive samplers were deployed and recovered on August 8, 2011, in nine monitoring wells along the southwestern, southeastern and northeastern sides of the landfill and down gradient from the eastern corner of the landfill. Six of the nine samplers had TPH concentrations greater than 100 micrograms per liter. TPH concentrations declined from 320 micrograms per liter in a sampler near the landfill to 18 micrograms in a sampler near the wetland. Five of the samplers had detections of one or more diesel compounds but detections of individual diesel compounds had concentrations below a method detection level of 0.01 microgram per liter. Benzene was detected in three samplers and exceeded the national primary drinking-water standard of 5 micrograms per liter set by the U.S. Environmental Protection Agency. The concentrations of benzene, and therefore BTEX, were 6.1 micrograms per liter in the sampler near the eastern corner of the landfill, 27 micrograms per liter in the sampler near the wetland, and 37 micrograms per liter in the sampler at the southern corner of the landfill. Nonfuel-related compounds were detected in the four wells that are aligned between the eastern corner of the landfill and the wetland. The sampler deployed nearest the eastern corner of the landfill had the greatest number of detected organic compounds and had the only detections of two trimethylbenzene compounds, naphthalene, 2-methyl naphthalene, and 1,4-dichlorobenzene. The two up gradient samplers had the greatest number of chlorinated compounds with five compounds each, compared to detections of four compounds and one compound in the two down gradient samplers. All four samplers had detections of 1,1-dichloroethane which ranged from 42 to 1,300 micrograms per liter. Other detections of chlorinated compounds included trichloroethene, perchloroethene, cis-1,2-dichloroethene, 1,1,1-trichloroethane and chloroform.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121128","collaboration":"Prepared in cooperation with the U.S. Department of the Army Environmental and Natural Resources Management Office of the U.S. Army Signal Center and Fort Gordon","usgsCitation":"Falls, W.F., Caldwell, A.W., Guimaraes, W., Ratliff, W.H., Wellborn, J.B., and Landmeyer, J., 2012, Assessment of soil-gas and groundwater contamination at the Gibson Road landfill, Fort Gordon, Georgia, 2011: U.S. Geological Survey Open-File Report 2012-1128, v, 27 p.; Tables; col. ill.; map (col.), https://doi.org/10.3133/ofr20121128.","productDescription":"v, 27 p.; Tables; col. ill.; map (col.)","startPage":"i","endPage":"27","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2011-07-01","temporalEnd":"2011-08-31","costCenters":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":259307,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1128.jpg"},{"id":259297,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1128/","linkFileType":{"id":5,"text":"html"}},{"id":259298,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1128/pdf/USGS_ofr2012-1128_Falls.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Georgia","otherGeospatial":"Fort Gordon","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ee56e4b0c8380cd49cec","contributors":{"authors":[{"text":"Falls, W. Fred 0000-0003-2928-9795 wffalls@usgs.gov","orcid":"https://orcid.org/0000-0003-2928-9795","contributorId":107754,"corporation":false,"usgs":true,"family":"Falls","given":"W.","email":"wffalls@usgs.gov","middleInitial":"Fred","affiliations":[],"preferred":false,"id":465948,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caldwell, Andral W. 0000-0003-1269-5463 acaldwel@usgs.gov","orcid":"https://orcid.org/0000-0003-1269-5463","contributorId":3228,"corporation":false,"usgs":true,"family":"Caldwell","given":"Andral","email":"acaldwel@usgs.gov","middleInitial":"W.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465943,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guimaraes, Wladmir G.","contributorId":10658,"corporation":false,"usgs":true,"family":"Guimaraes","given":"Wladmir G.","affiliations":[],"preferred":false,"id":465945,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ratliff, W. Hagan","contributorId":60347,"corporation":false,"usgs":true,"family":"Ratliff","given":"W.","email":"","middleInitial":"Hagan","affiliations":[],"preferred":false,"id":465947,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wellborn, John B.","contributorId":24822,"corporation":false,"usgs":true,"family":"Wellborn","given":"John","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":465946,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Landmeyer, James 0000-0002-5640-3816 jlandmey@usgs.gov","orcid":"https://orcid.org/0000-0002-5640-3816","contributorId":3257,"corporation":false,"usgs":true,"family":"Landmeyer","given":"James","email":"jlandmey@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465944,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70039267,"text":"pp1789 - 2012 - Water quality and landscape processes of four watersheds in eastern Puerto Rico","interactions":[],"lastModifiedDate":"2012-07-31T01:01:47","indexId":"pp1789","displayToPublicDate":"2012-07-30T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1789","title":"Water quality and landscape processes of four watersheds in eastern Puerto Rico","docAbstract":"Humid tropical regions occupy about a quarter of Earth's land surface, yet they contribute a substantially higher fraction of the water, solutes, and sediment discharged to the world's oceans. Nearly half of Earth's population lives in the tropics, and development stresses can potentially harm soil resources, water quality, and water supply and in addition increase landslide and flood hazards. Owing to Puerto Rico's steep topography, low water storage capacity, and dependence on trade-wind precipitation, the island's people, ecosystems, and water supply are vulnerable to extreme weather such as hurricanes, floods, and droughts. Eastern Puerto Rico offers a natural laboratory for separating geologic and land-cover influences from regional- and global-scale influences because of its various bedrock types and the changing land cover surrounding intact, mature forest of the Luquillo Experimental Forest. Accordingly, a multiyear assessment of hydrological and biogeochemical processes was designed to develop an understanding of the effects of these differences on local climate, streamflow, water quality, and ecosystems, and to form the basis for a long-term and event-based program of climate and hydrologic monitoring. Because infrequent, large storms play a major role in this landscape, we focused on high-runoff events, sampling 263 storms, including all major hurricanes from 1991 through 2005. The largest storms have profound geomorphic consequences, such as landslides, debris flows, deep gullying on deforested lands, excavation and suspension of sediment in stream channels, and delivery of a substantial fraction of annual stream sediment load. Large storms sometimes entrain ocean foam and spray causing high concentrations of seasalt-derived constituents in stream waters during the storm. Past deforestation and agricultural activities in the Cayaguás and Canóvanas watersheds accelerated erosion and soil loss, and this material continues to be remobilized during large storms. Nearly 5,000 routine and event samples were analyzed for parameters that allow determination of denudation rates based on suspended and dissolved loads; 860 of these samples were analyzed for a comprehensive suite of chemical constituents. The rivers studied are generally similar in water-quality characteristics, and windward or leeward aspect appears to exert a stronger influence on water quality than geology or land cover. Of samples analyzed for comprehensive chemistry and for sediment, 543 were collected at runoff rates greater than 1 millimeter per hour, 256 at rates exceeding 10 millimeters per hour, and 3 at rates exceeding 90 millimeters per hour. Streams have rarely been sampled during events with such high runoff rates. Rates of physical and chemical weathering are especially high, and physical denudation rates, forested watersheds included, are considerably greater than is expected for a steady-state system. The elevated physical erosion drives an increased particulate organic carbon flux, one that is large, important to the carbon cycle, and sustainable, because soil-carbon regeneration is rapid. The 15-year Water, Energy, and Biogeochemical Budget dataset, which includes discharge, field parameters, suspended sediment, major cations and anions, and nutrients, is available from the U.S. Geological Survey's National Water Information System (http://waterdata.usgs.gov/nwis). The dataset provides a baseline for characterizing future environmental change and will improve our understanding of the interdependencies of land, water, and biological resources and their responses to changes in climate and land use. Because eastern Puerto Rico resembles many tropical regions in terms of geology and patterns of development, implications from this study are transferable to other tropical regions facing deforestation, rapid land-use change, and climate change.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1789","usgsCitation":"Murphy, S.F., Stallard, R.F., Contributions by Buss, H.L., Gould, W.A., Larsen, M.C., Liu, Z., Martinuzzi, S., Pares-Ramos, I., White, A.F., and Zou, X., 2012, Water quality and landscape processes of four watersheds in eastern Puerto Rico: U.S. Geological Survey Professional Paper 1789, viii, 292 p.; Appendices; col. ill.; maps (col.), https://doi.org/10.3133/pp1789.","productDescription":"viii, 292 p.; Appendices; col. ill.; maps (col.)","startPage":"i","endPage":"292","numberOfPages":"304","additionalOnlineFiles":"N","costCenters":[{"id":434,"text":"National Research Program","active":false,"usgs":true}],"links":[{"id":259252,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1789/PP1789.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259265,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp_1789.gif"},{"id":259251,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1789/","linkFileType":{"id":5,"text":"html"}}],"country":"Puerto Rico","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bc87ce4b08c986b32c95f","contributors":{"authors":[{"text":"Murphy, Sheila F. 0000-0002-5481-3635 sfmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-5481-3635","contributorId":1854,"corporation":false,"usgs":true,"family":"Murphy","given":"Sheila","email":"sfmurphy@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":465894,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stallard, Robert F. 0000-0001-8209-7608 stallard@usgs.gov","orcid":"https://orcid.org/0000-0001-8209-7608","contributorId":1924,"corporation":false,"usgs":true,"family":"Stallard","given":"Robert","email":"stallard@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":465895,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Contributions by Buss, Heather L.","contributorId":21830,"corporation":false,"usgs":true,"family":"Contributions by Buss","given":"Heather","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":465898,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gould, William A.","contributorId":103535,"corporation":false,"usgs":true,"family":"Gould","given":"William","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":465902,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Larsen, Matthew C. mclarsen@usgs.gov","contributorId":1568,"corporation":false,"usgs":true,"family":"Larsen","given":"Matthew","email":"mclarsen@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":465893,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Liu, Zhigang","contributorId":89015,"corporation":false,"usgs":true,"family":"Liu","given":"Zhigang","affiliations":[],"preferred":false,"id":465900,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Martinuzzi, Sebastian","contributorId":17491,"corporation":false,"usgs":true,"family":"Martinuzzi","given":"Sebastian","affiliations":[],"preferred":false,"id":465897,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pares-Ramos, Isabel K.","contributorId":98184,"corporation":false,"usgs":true,"family":"Pares-Ramos","given":"Isabel K.","affiliations":[],"preferred":false,"id":465901,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"White, Arthur F. afwhite@usgs.gov","contributorId":3718,"corporation":false,"usgs":true,"family":"White","given":"Arthur","email":"afwhite@usgs.gov","middleInitial":"F.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":465896,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Zou, Xiaoming","contributorId":56521,"corporation":false,"usgs":true,"family":"Zou","given":"Xiaoming","email":"","affiliations":[],"preferred":false,"id":465899,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70038535,"text":"70038535 - 2012 - Field information links permafrost carbon to physical vulnerabilities of thawing","interactions":[],"lastModifiedDate":"2017-11-02T12:00:11","indexId":"70038535","displayToPublicDate":"2012-07-27T00:00:00","publicationYear":"2012","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":"Field information links permafrost carbon to physical vulnerabilities of thawing","docAbstract":"Deep soil profiles containing permafrost (Gelisols) were characterized for organic carbon (C) and total nitrogen (N) stocks to 3m depths. Using the Community Climate System Model (CCSM4) we calculate cumulative probability functions (PDFs) for active layer depths under current and future climates. The difference in PDFs over time was multiplied by C and N contents of soil horizons in Gelisol suborders to calculate newly thawed C and N, Thawing ranged from 147 PgC with 10 PgN by 2050 (representative concentration pathway RCP scenario 4.5) to 436 PgC with 29 PgN by 2100 (RCP 8.5). Organic horizons that thaw are vulnerable to combustion, and all horizon types are vulnerable to shifts in hydrology and decomposition. The rates and extent of such losses are unknown and can be further constrained by linking field and modelling approaches. These changes have the potential for strong additional loading to our atmosphere, water resources, and ecosystems.","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2012GL051958","usgsCitation":"Harden, J.W., Koven, C., Ping, C., Hugelius, G., McGuire, A., Camill, P., Jorgenson, T., Kuhry, P., Michaelson, G., O’Donnell, J.A., Schuur, E.A., Tamocai, C., Johnson, K., and Grosse, G., 2012, Field information links permafrost carbon to physical vulnerabilities of thawing: Geophysical Research Letters, v. 39, 6 p.; L15704, https://doi.org/10.1029/2012GL051958.","productDescription":"6 p.; L15704","ipdsId":"IP-041567","costCenters":[{"id":108,"text":"Alaska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":259211,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259204,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2012GL051958","linkFileType":{"id":5,"text":"html"}}],"volume":"39","noUsgsAuthors":false,"publicationDate":"2012-08-07","publicationStatus":"PW","scienceBaseUri":"505a0fc0e4b0c8380cd539da","contributors":{"authors":[{"text":"Harden, Jennifer W. 0000-0002-6570-8259 jharden@usgs.gov","orcid":"https://orcid.org/0000-0002-6570-8259","contributorId":1971,"corporation":false,"usgs":true,"family":"Harden","given":"Jennifer","email":"jharden@usgs.gov","middleInitial":"W.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":464517,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koven, Charles","contributorId":51143,"corporation":false,"usgs":true,"family":"Koven","given":"Charles","affiliations":[],"preferred":false,"id":464523,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ping, Chien-Lu","contributorId":12726,"corporation":false,"usgs":true,"family":"Ping","given":"Chien-Lu","email":"","affiliations":[],"preferred":false,"id":464519,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hugelius, Gustaf 0000-0002-8096-1594","orcid":"https://orcid.org/0000-0002-8096-1594","contributorId":73863,"corporation":false,"usgs":false,"family":"Hugelius","given":"Gustaf","email":"","affiliations":[{"id":17850,"text":"Dept of Earth System Science, Stanford University, Stanford, CA 94305","active":true,"usgs":false},{"id":25546,"text":"Stockholm University, Sweden","active":true,"usgs":false}],"preferred":false,"id":464525,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McGuire, A. David","contributorId":18494,"corporation":false,"usgs":true,"family":"McGuire","given":"A. David","affiliations":[],"preferred":false,"id":464520,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Camill, P.","contributorId":78185,"corporation":false,"usgs":true,"family":"Camill","given":"P.","affiliations":[],"preferred":false,"id":464526,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jorgenson, Torre","contributorId":45380,"corporation":false,"usgs":true,"family":"Jorgenson","given":"Torre","affiliations":[],"preferred":false,"id":464521,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kuhry, Peter","contributorId":9513,"corporation":false,"usgs":true,"family":"Kuhry","given":"Peter","affiliations":[{"id":24562,"text":"Stockholm University","active":true,"usgs":false}],"preferred":false,"id":464518,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Michaelson, Gary","contributorId":56086,"corporation":false,"usgs":true,"family":"Michaelson","given":"Gary","email":"","affiliations":[],"preferred":false,"id":464524,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"O’Donnell, Jonathan A.","contributorId":84138,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":464530,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Schuur, Edward A.G.","contributorId":50026,"corporation":false,"usgs":true,"family":"Schuur","given":"Edward","email":"","middleInitial":"A.G.","affiliations":[],"preferred":false,"id":464522,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Tamocai, Charles","contributorId":81738,"corporation":false,"usgs":true,"family":"Tamocai","given":"Charles","email":"","affiliations":[],"preferred":false,"id":464527,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Johnson, Kevin","contributorId":83287,"corporation":false,"usgs":true,"family":"Johnson","given":"Kevin","affiliations":[],"preferred":false,"id":464529,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Grosse, G.","contributorId":82140,"corporation":false,"usgs":true,"family":"Grosse","given":"G.","affiliations":[],"preferred":false,"id":464528,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70038079,"text":"70038079 - 2012 - Flood risk awareness during the 2011 floods in the central United States: showcasing the importance of hydrologic data and interagency collaboration","interactions":[],"lastModifiedDate":"2012-07-28T01:01:41","indexId":"70038079","displayToPublicDate":"2012-07-27T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2609,"text":"Leadership and Management in Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Flood risk awareness during the 2011 floods in the central United States: showcasing the importance of hydrologic data and interagency collaboration","docAbstract":"Floods have long had a major impact on society and the environment, evidenced by the more than 1,500 federal disaster declarations since 1952 that were associated with flooding. Calendar year 2011 was an epic year for floods in the United States, from the flooding on the Red River of the North in late spring to the Ohio, Mississippi, and Missouri River basin floods in the spring and summer to the flooding caused by Hurricane Irene along the eastern seaboard in August. As a society, we continually seek to reduce flood impacts, with these efforts loosely grouped into two categories: mitigation and risk awareness. Mitigation involves such activities as flood assessment, flood control implementation, and regulatory activities such as storm water and floodplain ordinances. Risk awareness ranges from issuance of flood forecasts and warnings to education of lay audiences about the uncertainties inherent in assessing flood probability and risk. This paper concentrates on the issue of flood risk awareness, specifically the importance of hydrologic data and good interagency communication in providing accurate and timely flood forecasts to maximize risk awareness. The 2011 floods in the central United States provide a case study of the importance of hydrologic data and the value of proper, timely, and organized communication and collaboration around the collection and dissemination of that hydrologic data in enhancing the effectiveness of flood forecasting and flood risk awareness.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Leadership and Management in Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ASCE","publisherLocation":"Reston, VA","doi":"10.1061/(ASCE)LM.1943-5630.0000181","usgsCitation":"Holmes, R.R., Schwein, N.O., and Shadie, C.E., 2012, Flood risk awareness during the 2011 floods in the central United States: showcasing the importance of hydrologic data and interagency collaboration: Leadership and Management in Engineering, v. 12, no. 3, p. 101-110, https://doi.org/10.1061/(ASCE)LM.1943-5630.0000181.","productDescription":"10 p.","startPage":"101","endPage":"110","numberOfPages":"18","temporalStart":"2011-01-01","temporalEnd":"2011-12-31","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":474396,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1061/(asce)lm.1943-5630.0000181","text":"Publisher Index Page"},{"id":259220,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259205,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/(ASCE)LM.1943-5630.0000181","linkFileType":{"id":5,"text":"html"}}],"country":"United States","volume":"12","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a1150e4b0c8380cd53f62","contributors":{"authors":[{"text":"Holmes, Robert R. Jr. 0000-0002-5060-3999 bholmes@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-3999","contributorId":1624,"corporation":false,"usgs":true,"family":"Holmes","given":"Robert","suffix":"Jr.","email":"bholmes@usgs.gov","middleInitial":"R.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":false,"id":463418,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schwein, Noreen O.","contributorId":14238,"corporation":false,"usgs":true,"family":"Schwein","given":"Noreen","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":463419,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shadie, Charles E.","contributorId":21809,"corporation":false,"usgs":true,"family":"Shadie","given":"Charles","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":463420,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70004895,"text":"70004895 - 2012 - Evidence of recent climate change within the historic range of Rio Grande cutthroat trout: implications for management and future persistence","interactions":[],"lastModifiedDate":"2017-05-10T09:52:46","indexId":"70004895","displayToPublicDate":"2012-07-27T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Evidence of recent climate change within the historic range of Rio Grande cutthroat trout: implications for management and future persistence","docAbstract":"Evidence of anthropogenically influenced climate change has motivated natural resource managers to incorporate adaptive measures to minimize risks to sensitive and threatened species. Detecting trends in climate variables (i.e., air temperature and hydrology) can serve as a valuable management tool for protecting vulnerable species by increasing our understanding of localized conditions and trends. The Rio Grande cutthroat trout Oncorhynchus clarkii virginalis has suffered a severe decline in its historical distribution, with the majority of current populations persisting in isolated headwater streams. To evaluate recent climate change within the subspecies' historical range, we examined trends in average air temperatures, biologically important hydrological variables (timing of snowmelt and seasonal flows), and the April 1 snow water equivalent over the last 45 years (1963–2007). While rates of change in all three metrics were variable across sites, rangewide patterns were evident. Across the subspecies' historical range, average annual air temperatures increased (0.29°C per decade) and the timing of snowmelt shifted 10.6 d earlier in the year (2.3 d/decade). Flows increased during biologically important periods, including winter (January 1–March 31; 6.6% increase per decade), prespawning (April 1–May 14; 6.9% increase per decade), and spawning (May 15–June 15; 4.2% increase per decade) and decreased in summer (June 16–September 15; 1.9% decrease per decade). Evidence of decreasing April 1 snow water equivalent (5.3% per decade) was also observed. While the impacts of these changes at the population level are equivocal, it is likely that negative effects would influence the subspecies by altering its distribution, decreasing available habitat, and altering the timing of important life history components. Continued monitoring and proactive management will be required to increase the resiliency of remaining populations to ensure long-term persistence and protection in a changing climate.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","publisherLocation":"Philadelphia, PA","doi":"10.1080/00028487.2012.676589","usgsCitation":"Zeigler, M., Todd, A., and Caldwell, C.A., 2012, Evidence of recent climate change within the historic range of Rio Grande cutthroat trout: implications for management and future persistence: Transactions of the American Fisheries Society, v. 141, no. 4, p. 1045-1059, https://doi.org/10.1080/00028487.2012.676589.","productDescription":"15 p.","startPage":"1045","endPage":"1059","ipdsId":"IP-031035","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":259214,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259203,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/00028487.2012.676589","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Colorado;New Mexico","volume":"141","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-06-26","publicationStatus":"PW","scienceBaseUri":"505a0d69e4b0c8380cd52fd7","contributors":{"authors":[{"text":"Zeigler, Matthew P.","contributorId":44401,"corporation":false,"usgs":true,"family":"Zeigler","given":"Matthew P.","affiliations":[],"preferred":false,"id":351625,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Todd, Andrew S.","contributorId":33162,"corporation":false,"usgs":true,"family":"Todd","given":"Andrew S.","affiliations":[],"preferred":false,"id":351624,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caldwell, Colleen A. 0000-0002-4730-4867 ccaldwel@usgs.gov","orcid":"https://orcid.org/0000-0002-4730-4867","contributorId":3050,"corporation":false,"usgs":true,"family":"Caldwell","given":"Colleen","email":"ccaldwel@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":351623,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70009700,"text":"70009700 - 2012 - Evaluation of SNODAS snow depth and snow water equivalent estimates for the Colorado Rocky Mountains, USA","interactions":[],"lastModifiedDate":"2012-08-08T17:16:36","indexId":"70009700","displayToPublicDate":"2012-07-27T00:00:00","publicationYear":"2012","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":"Evaluation of SNODAS snow depth and snow water equivalent estimates for the Colorado Rocky Mountains, USA","docAbstract":"The National Weather Service's Snow Data Assimilation (SNODAS) program provides daily, gridded estimates of snow depth, snow water equivalent (SWE), and related snow parameters at a 1-km2 resolution for the conterminous USA. In this study, SNODAS snow depth and SWE estimates were compared with independent, ground-based snow survey data in the Colorado Rocky Mountains to assess SNODAS accuracy at the 1-km2 scale. Accuracy also was evaluated at the basin scale by comparing SNODAS model output to snowmelt runoff in 31 headwater basins with US Geological Survey stream gauges. Results from the snow surveys indicated that SNODAS performed well in forested areas, explaining 72% of the variance in snow depths and 77% of the variance in SWE. However, SNODAS showed poor agreement with measurements in alpine areas, explaining 16% of the variance in snow depth and 30% of the variance in SWE. At the basin scale, snowmelt runoff was moderately correlated (R2 = 0.52) with SNODAS model estimates. A simple method for adjusting SNODAS SWE estimates in alpine areas was developed that uses relations between prevailing wind direction, terrain, and vegetation to account for wind redistribution of snow in alpine terrain. The adjustments substantially improved agreement between measurements and SNODAS estimates, with the R2 of measured SWE values against SNODAS SWE estimates increasing from 0.42 to 0.63 and the root mean square error decreasing from 12 to 6 cm. Results from this study indicate that SNODAS can provide reliable data for input to moderate-scale to large-scale hydrologic models, which are essential for creating accurate runoff forecasts. Refinement of SNODAS SWE estimates for alpine areas to account for wind redistribution of snow could further improve model performance. Published 2011. This article is a US Government work and is in the public domain in the USA.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrological Processes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1002/hyp.9385","usgsCitation":"Clow, D.W., Nanus, L., Verdin, K.L., and Schmidt, J., 2012, Evaluation of SNODAS snow depth and snow water equivalent estimates for the Colorado Rocky Mountains, USA: Hydrological Processes, v. 26, no. 17, p. 2583-2591, https://doi.org/10.1002/hyp.9385.","productDescription":"9 p.","startPage":"2583","endPage":"2591","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":257800,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1002/hyp.9385","linkFileType":{"id":5,"text":"html"}},{"id":259212,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Rocky Mountains","volume":"26","issue":"17","noUsgsAuthors":false,"publicationDate":"2012-06-05","publicationStatus":"PW","scienceBaseUri":"505a0c21e4b0c8380cd52a4d","contributors":{"authors":[{"text":"Clow, David W. 0000-0001-6183-4824 dwclow@usgs.gov","orcid":"https://orcid.org/0000-0001-6183-4824","contributorId":1671,"corporation":false,"usgs":true,"family":"Clow","given":"David","email":"dwclow@usgs.gov","middleInitial":"W.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356873,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nanus, Leora","contributorId":27930,"corporation":false,"usgs":true,"family":"Nanus","given":"Leora","email":"","affiliations":[],"preferred":false,"id":356875,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Verdin, Kristine L. 0000-0002-6114-4660 kverdin@usgs.gov","orcid":"https://orcid.org/0000-0002-6114-4660","contributorId":3070,"corporation":false,"usgs":true,"family":"Verdin","given":"Kristine","email":"kverdin@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":356874,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmidt, Jeffrey","contributorId":90972,"corporation":false,"usgs":true,"family":"Schmidt","given":"Jeffrey","email":"","affiliations":[],"preferred":false,"id":356876,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70039213,"text":"sir20125123 - 2012 - Groundwater quality in the Columbia Plateau, Snake River Plain, and Oahu basaltic-rock and basin-fill aquifers in the Northwestern United States and Hawaii, 1992-2010","interactions":[],"lastModifiedDate":"2016-08-31T17:31:58","indexId":"sir20125123","displayToPublicDate":"2012-07-26T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5123","subseriesTitle":"National Water-Quality Assessment Program","title":"Groundwater quality in the Columbia Plateau, Snake River Plain, and Oahu basaltic-rock and basin-fill aquifers in the Northwestern United States and Hawaii, 1992-2010","docAbstract":"This assessment of groundwater-quality conditions of the Columbia Plateau, Snake River Plain, and Oahu for the period 1992–2010 is part of the U.S. Geological Survey’s National Water Quality Assessment (NAWQA) program. It shows where, when, why, and how specific water-quality conditions occur in groundwater of the three study areas and yields science-based implications for assessing and managing the quality of these water resources. The primary aquifers in the Columbia Plateau, Snake River Plain, and Oahu are mostly composed of fractured basalt, which makes their hydrology and geochemistry similar. In spite of the hydrogeologic similarities, there are climatic differences that affect the agricultural practices overlying the aquifers, which in turn affect the groundwater quality. Understanding groundwater-quality conditions and the natural and human factors that control groundwater quality is important because of the implications to human health, the sustainability of rural agricultural economies, and the substantial costs associated with land and water management, conservation, and regulation.
\nThe principal regional aquifers of the Columbia Plateau, Snake River Plain, and Oahu are highly vulnerable to contamination by chemicals applied at the land surface; essentially, they are as vulnerable as many shallow surficial aquifers elsewhere. The permeable and largely unconfined character of principal aquifers in the Columbia Plateau, Snake River Plain, and Oahu allow water and chemicals to infiltrate to the water table despite depths to water commonly in the hundreds of feet. The aquifers are essentially unconfined over large areas, having few extensive clay layers to impede infiltration through permeable volcanic rock and alluvial sediments. Agriculture is intensive in all three study areas, and heavy irrigation has imposed large artificial flows of irrigation recharge that rival or exceed natural recharge rates. Fertilizers and pesticides applied at land surface are leached from soil and transported to deep water tables with the infiltrating irrigation recharge, resulting in a layer of degraded water quality overlying better quality regional groundwater beneath. This “irrigation-recharge layer” is best known on Oahu, where it has been studied since the 1960s; however, the extent of nitrate and pesticide contamination in the Columbia Plateau and Snake River Plain indicate that the same situation exists in those areas. Contamination from agricultural and urban activities is present not only at shallow depths in surficial materials of the three areas, but extends regionally in the deep, principal bedrock aquifers that are tapped for drinking water by domestic and public-supply wells.
\nNaturally occurring constituents and nitrate concentrations above human-health benchmarks—Maximum Contaminant Levels (MCLs), and Health-Based Screening Levels (HBSLs)—were more common in the Columbia Plateau and the Snake River Plain than in Oahu. Concentrations of anthropogenic constituents (constituents related to human activities) above human-health benchmarks were more common in Oahu. Naturally occurring contaminants, such as arsenic and radon, may be present in groundwater at concentrations of potential concern for human health in relatively undeveloped settings that otherwise may not be perceived as susceptible to contamination. Even though the median depth to groundwater in Oahu is more than 300 feet, the common occurrence of anthropogenic compounds in groundwater indicates that Oahu has a high susceptibility to contamination.
\nNitrate concentrations in groundwater were above the national background concentrations of 1 milligram per liter (mg/L) in all three study areas. In the Columbia Plateau, nitrate exceeded the human-health benchmark of 10 mg/L in 20 percent of the wells sampled. In the Snake River Plain, nitrate exceeded the human-health benchmark of 10 mg/L in 3 percent of the wells sampled. Nitrate can persist in groundwater for years and even decades in the oxygen-rich groundwater of the Columbia Plateau and the Snake River Plain, so prudent groundwater protection measures are critical to protect drinking water resources by reducing nitrate leaching from the land surface.
\nNitrate logistic regression models indicated that areas with a high percentage of land in crops (such as potatoes or sugarcane) and soils with low amounts of organic matter are most likely to have elevated nitrate concentrations in the groundwater. Areas where agricultural activities were absent had much lower probabilities of detecting elevated nitrate concentrations. The Columbia Plateau had a much higher probability of having elevated nitrate concentrations, with most of the land area having greater than a 50 percent probability of elevated nitrate concentrations. Oahu and the Snake River Plain had a much lower probability of having elevated nitrate concentrations because of their lower percentage of agricultural land.
\nPesticides were detected at many sites in groundwater of the Columbia Plateau, Snake River Plain, and Oahu but generally at low concentrations below human-health benchmarks. Atrazine and its degradate (a compound produced from the breakdown of a parent pesticide), deethylatrazine, were the most commonly detected pesticides in groundwater sampled in the Columbia Plateau and Snake River Plain. Bromacil was the most commonly detected pesticide on Oahu. The other pesticides most commonly detected in the study areas include simazine, hexazinone, metribuzin, diuron, prometon, metolachlor, p,p’-DDE, dieldrin, 2-4-D, and alachlor. DDE (a degradate of DDT) and dieldrin are still being detected in groundwater despite having been banned for more than 30 years. Codetection of multiple pesticides in water from a single well was common. The widespread occurrence of pesticides in groundwater in the study areas indicates that the groundwater is highly susceptible to pesticide contamination.
\nSome pesticides were detected in groundwater samples from all three study areas, but other pesticides were detected only in samples from Oahu, or only in samples from the Columbia Plateau and Snake River Plain. This is because some pesticides (such as atrazine) are broad-spectrum pesticides that are used on many crops in many different areas of the United States. Other pesticides (such as simazine, metribuzin, and metolachlor) are used on row crops (such as potatoes, barley, and alfalfa) grown in the Columbia Plateau and Snake River Plain, but not on pineapple or sugarcane grown in Oahu.
\nAtrazine logistic-regression models indicate that areas with a high percentage of land in crops (such as potatoes or sugarcane), a low percentage of fallow land, and highly permeable soils with low amounts of organic matter are most likely to have atrazine detected in the groundwater. Areas where agricultural activities were absent had much lower probabilities of atrazine being detected. The Snake River Plain had a much higher probability of atrazine detections, with more than 50 percent of the land area having greater than a 50 percent probability of atrazine contamination. Oahu had a much lower probability of atrazine contamination, with only 24 percent of the land area having greater than a 50 percent probability of atrazine contamination.
\nOahu and the Columbia Plateau had some of the highest percentages of soil fumigant detections in groundwater in the United States. Soil fumigants are volatile organic compounds (VOCs) used as pesticides, which are applied to soils to reduce populations of plant parasitic nematodes (harmful rootworms), weeds, fungal pathogens, and other soil-borne microorganisms. They are used in Oahu and the Columbia Plateau on crops such as pineapple and potatoes. All three areas (Columbia Plateau, Snake River Plain, and Oahu) had fumigant concentrations exceeding human-health benchmarks for drinking water.
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\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3591e4b0c8380cd60021","contributors":{"authors":[{"text":"Knaak, Andrew E. 0000-0003-1813-8959 aknaak@usgs.gov","orcid":"https://orcid.org/0000-0003-1813-8959","contributorId":3123,"corporation":false,"usgs":true,"family":"Knaak","given":"Andrew","email":"aknaak@usgs.gov","middleInitial":"E.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465717,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ankcorn, Paul D. pankcorn@usgs.gov","contributorId":1447,"corporation":false,"usgs":true,"family":"Ankcorn","given":"Paul","email":"pankcorn@usgs.gov","middleInitial":"D.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465715,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peck, Michael F. mfpeck@usgs.gov","contributorId":1467,"corporation":false,"usgs":true,"family":"Peck","given":"Michael F.","email":"mfpeck@usgs.gov","affiliations":[],"preferred":false,"id":465716,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70039166,"text":"sir20125113 - 2012 - Methods for determining magnitude and frequency of floods in California, based on data through water year 2006","interactions":[],"lastModifiedDate":"2012-07-24T01:01:47","indexId":"sir20125113","displayToPublicDate":"2012-07-23T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5113","title":"Methods for determining magnitude and frequency of floods in California, based on data through water year 2006","docAbstract":"Methods for estimating the magnitude and frequency of floods in California that are not substantially affected by regulation or diversions have been updated. Annual peak-flow data through water year 2006 were analyzed for 771 streamflow-gaging stations (streamgages) in California having 10 or more years of data. Flood-frequency estimates were computed for the streamgages by using the expected moments algorithm to fit a Pearson Type III distribution to logarithms of annual peak flows for each streamgage. Low-outlier and historic information were incorporated into the flood-frequency analysis, and a generalized Grubbs-Beck test was used to detect multiple potentially influential low outliers. Special methods for fitting the distribution were developed for streamgages in the desert region in southeastern California. Additionally, basin characteristics for the streamgages were computed by using a geographical information system.\r\nRegional regression analysis, using generalized least squares regression, was used to develop a set of equations for estimating flows with 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities for ungaged basins in California that are outside of the southeastern desert region. Flood-frequency estimates and basin characteristics for 630 streamgages were combined to form the final database used in the regional regression analysis. Five hydrologic regions were developed for the area of California outside of the desert region. The final regional regression equations are functions of drainage area and mean annual precipitation for four of the five regions. In one region, the Sierra Nevada region, the final equations are functions of drainage area, mean basin elevation, and mean annual precipitation. Average standard errors of prediction for the regression equations in all five regions range from 42.7 to 161.9 percent.\r\nFor the desert region of California, an analysis of 33 streamgages was used to develop regional estimates of all three parameters (mean, standard deviation, and skew) of the log-Pearson Type III distribution. The regional estimates were then used to develop a set of equations for estimating flows with 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities for ungaged basins. The final regional regression equations are functions of drainage area. Average standard errors of prediction for these regression equations range from 214.2 to 856.2 percent.\r\nAnnual peak-flow data through water year 2006 were analyzed for eight streamgages in California having 10 or more years of data considered to be affected by urbanization. Flood-frequency estimates were computed for the urban streamgages by fitting a Pearson Type III distribution to logarithms of annual peak flows for each streamgage. Regression analysis could not be used to develop flood-frequency estimation equations for urban streams because of the limited number of sites. Flood-frequency estimates for the eight urban sites were graphically compared to flood-frequency estimates for 630 non-urban sites.\r\nThe regression equations developed from this study will be incorporated into the U.S. Geological Survey (USGS) StreamStats program. The StreamStats program is a Web-based application that provides streamflow statistics and basin characteristics for USGS streamgages and ungaged sites of interest. StreamStats can also compute basin characteristics and provide estimates of streamflow statistics for ungaged sites when users select the location of a site along any stream in California.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125113","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency","usgsCitation":"Gotvald, A.J., Barth, N.A., Veilleux, A.G., and Parrett, C., 2012, Methods for determining magnitude and frequency of floods in California, based on data through water year 2006: U.S. Geological Survey Scientific Investigations Report 2012-5113, vi, 30 p.; Appendix, https://doi.org/10.3133/sir20125113.","productDescription":"vi, 30 p.; Appendix","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":259103,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5113.jpg"},{"id":259098,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5113/","linkFileType":{"id":5,"text":"html"}},{"id":259099,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5113/pdf/sir2012-5113.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a55aee4b0c8380cd6d269","contributors":{"authors":[{"text":"Gotvald, Anthony J. 0000-0002-9019-750X agotvald@usgs.gov","orcid":"https://orcid.org/0000-0002-9019-750X","contributorId":1970,"corporation":false,"usgs":true,"family":"Gotvald","given":"Anthony","email":"agotvald@usgs.gov","middleInitial":"J.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465707,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barth, Nancy A. nabarth@usgs.gov","contributorId":3276,"corporation":false,"usgs":true,"family":"Barth","given":"Nancy","email":"nabarth@usgs.gov","middleInitial":"A.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":465708,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Veilleux, Andrea G. aveilleux@usgs.gov","contributorId":4404,"corporation":false,"usgs":true,"family":"Veilleux","given":"Andrea","email":"aveilleux@usgs.gov","middleInitial":"G.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":465709,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parrett, Charles","contributorId":9635,"corporation":false,"usgs":true,"family":"Parrett","given":"Charles","email":"","affiliations":[],"preferred":false,"id":465710,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70039113,"text":"ofr20121121 - 2012 - Thermal and hydrological observations near Twelvemile Lake in discontinuous permafrost, Yukon Flats, interior Alaska, September 2010-August 2011","interactions":[],"lastModifiedDate":"2018-06-19T19:50:30","indexId":"ofr20121121","displayToPublicDate":"2012-07-19T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1121","title":"Thermal and hydrological observations near Twelvemile Lake in discontinuous permafrost, Yukon Flats, interior Alaska, September 2010-August 2011","docAbstract":"A series of ground-based observations were made between September 2010 and August 2011 near Twelvemile Lake, 19 kilometers southwest of Fort Yukon, Alaska, for use in ongoing hydrological analyses of watersheds in this region of discontinuous permafrost. Measurements include depth to ground ice, depth to water table, soil texture, soil moisture, soil temperature, and water pressure above the permafrost table. In the drained basin of subsiding Twelvemile Lake, we generally find an absence of newly formed permafrost and an undetectable slope of the water table; however, a sloping water table was observed in the low-lying channels extending into and away from the lake watershed. Datasets for these observations are summarized in this report and can be accessed by clicking on the links in each section or from the Downloads folder of the report Web page.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121121","usgsCitation":"Jepsen, S.M., Koch, J.C., Rose, J.R., Voss, C.I., and Walvoord, M.A., 2012, Thermal and hydrological observations near Twelvemile Lake in discontinuous permafrost, Yukon Flats, interior Alaska, September 2010-August 2011: U.S. Geological Survey Open-File Report 2012-1121, iv, 25 p.; Downloads Directory, https://doi.org/10.3133/ofr20121121.","productDescription":"iv, 25 p.; Downloads Directory","onlineOnly":"Y","costCenters":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true}],"links":[{"id":259012,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1121.JPG"},{"id":259008,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1121/OF12-1121.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259007,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1121/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","otherGeospatial":"Buddy Lake;Twelvemile Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -145.6,66.41666666666667 ], [ -145.6,66.48333333333333 ], [ -145.33333333333334,66.48333333333333 ], [ -145.33333333333334,66.41666666666667 ], [ -145.6,66.41666666666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb20ee4b08c986b325586","contributors":{"authors":[{"text":"Jepsen, Steven M. sjepsen@usgs.gov","contributorId":3892,"corporation":false,"usgs":true,"family":"Jepsen","given":"Steven","email":"sjepsen@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":465634,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":465633,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rose, Joshua R.","contributorId":90147,"corporation":false,"usgs":true,"family":"Rose","given":"Joshua","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":465635,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Voss, Clifford I. 0000-0001-5923-2752 cvoss@usgs.gov","orcid":"https://orcid.org/0000-0001-5923-2752","contributorId":1559,"corporation":false,"usgs":true,"family":"Voss","given":"Clifford","email":"cvoss@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":465632,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walvoord, Michelle Ann 0000-0003-4269-8366 walvoord@usgs.gov","orcid":"https://orcid.org/0000-0003-4269-8366","contributorId":147211,"corporation":false,"usgs":true,"family":"Walvoord","given":"Michelle","email":"walvoord@usgs.gov","middleInitial":"Ann","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":465636,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70039045,"text":"70039045 - 2012 - Cyclic biogeochemical processes and nitrogen fate beneath a subtropical stormwater infiltration basin","interactions":[],"lastModifiedDate":"2012-07-19T01:01:49","indexId":"70039045","displayToPublicDate":"2012-07-18T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2233,"text":"Journal of Contaminant Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Cyclic biogeochemical processes and nitrogen fate beneath a subtropical stormwater infiltration basin","docAbstract":"A stormwater infiltration basin in north–central Florida, USA, was monitored from 2007 through 2008 to identify subsurface biogeochemical processes, with emphasis on N cycling, under the highly variable hydrologic conditions common in humid, subtropical climates. Cyclic variations in biogeochemical processes generally coincided with wet and dry hydrologic conditions. Oxidizing conditions in the subsurface persisted for about one month or less at the beginning of wet periods with dissolved O2 and NO3- showing similar temporal patterns. Reducing conditions in the subsurface evolved during prolonged flooding of the basin. At about the same time O2 and NO3- reduction concluded, Mn, Fe and SO42- reduction began, with the onset of methanogenesis one month later. Reducing conditions persisted up to six months, continuing into subsequent dry periods until the next major oxidizing infiltration event. Evidence of denitrification in shallow groundwater at the site is supported by median NO3-–N less than 0.016 mg L-1, excess N2 up to 3 mg L-1 progressively enriched in δ15N during prolonged basin flooding, and isotopically heavy δ15N and δ18O of NO3- (up to 25‰ and 15‰, respectively). Isotopic enrichment of newly infiltrated stormwater suggests denitrification was partially completed within two days. Soil and water chemistry data suggest that a biogeochemically active zone exists in the upper 1.4 m of soil, where organic carbon was the likely electron donor supplied by organic matter in soil solids or dissolved in infiltrating stormwater. The cyclic nature of reducing conditions effectively controlled the N cycle, switching N fate beneath the basin from NO3- leaching to reduction in the shallow saturated zone. Results can inform design of functionalized soil amendments that could replace the native soil in a stormwater infiltration basin and mitigate potential NO3- leaching to groundwater by replicating the biogeochemical conditions under the observed basin.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Contaminant Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jconhyd.2012.03.005","usgsCitation":"O’Reilly, A.M., Chang, N., and Wanielista, M.P., 2012, Cyclic biogeochemical processes and nitrogen fate beneath a subtropical stormwater infiltration basin: Journal of Contaminant Hydrology, v. 133, p. 53-75, https://doi.org/10.1016/j.jconhyd.2012.03.005.","productDescription":"23 p.","startPage":"53","endPage":"75","costCenters":[{"id":287,"text":"Florida Water Science Center-Orlando","active":false,"usgs":true}],"links":[{"id":501645,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://stars.library.ucf.edu/facultybib2010/3101","text":"External Repository"},{"id":258996,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":258987,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jconhyd.2012.03.005","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","volume":"133","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059fd22e4b0c8380cd4e655","contributors":{"authors":[{"text":"O’Reilly, Andrew M. 0000-0003-3220-1248 aoreilly@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-1248","contributorId":2184,"corporation":false,"usgs":true,"family":"O’Reilly","given":"Andrew","email":"aoreilly@usgs.gov","middleInitial":"M.","affiliations":[{"id":5051,"text":"FLWSC-Orlando","active":true,"usgs":true}],"preferred":true,"id":465515,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chang, Ni-Bin","contributorId":20205,"corporation":false,"usgs":false,"family":"Chang","given":"Ni-Bin","email":"","affiliations":[{"id":12564,"text":"Department of Biology, University of Central Florida","active":true,"usgs":false}],"preferred":false,"id":465516,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wanielista, Martin P.","contributorId":62069,"corporation":false,"usgs":false,"family":"Wanielista","given":"Martin","email":"","middleInitial":"P.","affiliations":[{"id":12564,"text":"Department of Biology, University of Central Florida","active":true,"usgs":false}],"preferred":false,"id":465517,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70039093,"text":"sir20125103 - 2012 - Effects of urban best management practices on streamflow and phosphorus and suspended-sediment transport on Englesby Brook in Burlington, Vermont, 2000-2010","interactions":[],"lastModifiedDate":"2012-07-19T01:01:49","indexId":"sir20125103","displayToPublicDate":"2012-07-18T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5103","title":"Effects of urban best management practices on streamflow and phosphorus and suspended-sediment transport on Englesby Brook in Burlington, Vermont, 2000-2010","docAbstract":"An assessment of the effectiveness of several urban best management practice structures, including a wet extended detention facility and a shallow marsh wetland (together the \"wet extended detention ponds\"), was made using data collected from 2000 through 2010 at Englesby Brook in Burlington, Vermont. The purpose of the best management practices was to reduce high streamflows and phosphorus and suspended-sediment loads and concentrations and to increase low streamflows. Englesby Brook was monitored for streamflow, phosphorus, and suspended-sediment concentrations at a streamgage downstream of the best management practice structures for 5 years before the wet extended detention ponds were constructed in 2005 and for 4 years (phosphorus and suspended-sediment concentrations) or 5 years (streamflow) after they were constructed. The period after construction of the best management practice structures was wetter and had higher discharges than the period before construction. Despite the wetter conditions, streamflow duration curves provided evidence that the streamflow regime appeared to have shifted so that the percentages of low streamflows have increased and those of high streamflows may have slightly decreased. Two other hydrologic measures showed improvements in the years following construction of the best management practices: the percentage of annual discharge transported during the 3 days with highest discharges and the number of days with zero streamflow have both decreased. Evidence was mixed for the effectiveness of the best management practices in reducing phosphorus and suspended-sediment concentrations and loads. Annual phosphorus and suspended-sediment loads, monthly loads, low-streamflow concentrations, storm-averaged streamflow-adjusted concentrations, and total storm loads either did not change significantly or increased in the period after construction. These results likely were because of the wetter conditions in the period after construction. For example, monthly loads assessed using analysis of covariance, which compensated for the effects of streamflow on loads, suggested no difference in phosphorus or suspended-sediment loads between the two periods, whereas the comparison of monthly loads without factoring in streamflow showed an increase. This result could be viewed as evidence that the ponds may have mitigated the effect of greater discharges in the period after construction by preventing a corresponding increase in loads. In another analysis used to adjust for the difference in discharge between the two comparison periods, annual and monthly load results were grouped into dry and wet years. Large (50 percent) reductions in annual loads were observed when data from dry (or wet) years before construction were compared with data from dry (or wet) years after construction. When paired monthly loads of each constituent were grouped into dry and wet years, approximately the same number of months had increases as did decreases with the magnitudes of the decreases generally larger than the magnitudes of the increases. These differences in magnitude explain the decrease in annual loads for dry and wet years. The close association of phosphorus with suspended-sediment data suggested that most of the phosphorus was in the particulate form and was controlled by suspended-sediment dynamics.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125103","collaboration":"Prepared in cooperation with the Vermont Department of Environmental Conservation","usgsCitation":"Medalie, L., 2012, Effects of urban best management practices on streamflow and phosphorus and suspended-sediment transport on Englesby Brook in Burlington, Vermont, 2000-2010: U.S. Geological Survey Scientific Investigations Report 2012-5103, vii, 26 p., https://doi.org/10.3133/sir20125103.","productDescription":"vii, 26 p.","onlineOnly":"Y","temporalStart":"2000-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":468,"text":"New Hampshire-Vermont Water Science Center","active":false,"usgs":true}],"links":[{"id":258993,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5103.JPG"},{"id":258982,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5103/pdf/sir2012-5103_report_508.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":258981,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5103/","linkFileType":{"id":5,"text":"html"}}],"scale":"24000","datum":"North American Datum 1983","country":"United States","state":"Vermont","county":"Burlington","otherGeospatial":"Englesby Brook Watershed","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.33333333333333,44 ], [ -73.33333333333333,44.833333333333336 ], [ -72.66666666666667,44.833333333333336 ], [ -72.66666666666667,44 ], [ -73.33333333333333,44 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a081fe4b0c8380cd519b2","contributors":{"authors":[{"text":"Medalie, Laura 0000-0002-2440-2149 lmedalie@usgs.gov","orcid":"https://orcid.org/0000-0002-2440-2149","contributorId":3657,"corporation":false,"usgs":true,"family":"Medalie","given":"Laura","email":"lmedalie@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465609,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70148385,"text":"70148385 - 2012 - Pre- and post-remediation characterization of acid-generating fluvial tailings material","interactions":[],"lastModifiedDate":"2018-08-06T12:44:32","indexId":"70148385","displayToPublicDate":"2012-07-18T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Pre- and post-remediation characterization of acid-generating fluvial tailings material","docAbstract":"The upper Arkansas River south of Leadville, Colorado, USA, contains deposits of fluvial tailings from historical mining operations in the Leadville area. These deposits are potential non-point sources of acid and metal contamination to surface- and groundwater systems. We are investigating a site that recently underwent in situ remediation treatment with lime, fertilizer, and compost. Pre- and post-remediation fluvial tailings material was collected from a variety of depths to examine changes in mineralogy, acid generation, and extractable nutrients. Results indicate sufficient nutrient availability in the post-remediation near-surface material, but pyrite and acid generation persist below the depth of lime and fertilizer addition. Mineralogical characterization performed using semi-quantitative X-ray diffraction and quantitative SEM-based micro-mineralogy (Mineral Liberation Analysis, MLA) reveal formation of gypsum, jarosite, and complex coatings surrounding mineral grains in post-remediation samples.
","conferenceTitle":"9th International Conference on Acid Rock Drainage","conferenceDate":"May 20-26, 2012","conferenceLocation":"Ottawa, Canada","language":"English","publisher":"International Conferences on Acid Rock Drainage","usgsCitation":"Smith, K.S., Walton-Day, K., Hoal, K.O., Driscoll, R.L., and Pietersen, K., 2012, Pre- and post-remediation characterization of acid-generating fluvial tailings material, 9th International Conference on Acid Rock Drainage, Ottawa, Canada, May 20-26, 2012, 10 p.","productDescription":"10 p.","ipdsId":"IP-033756","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":342100,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","county":"Lake county","otherGeospatial":"Arkansas River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.391667,\n 39.233333\n ],\n [\n -106.275,\n 39.233333\n ],\n [\n -106.275,\n 39.116667\n ],\n [\n -106.391667,\n 39.116667\n ],\n [\n -106.391667,\n 39.233333\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59366dade4b0f6c2d0d7d646","contributors":{"authors":[{"text":"Smith, Kathleen S. 0000-0001-8547-9804 ksmith@usgs.gov","orcid":"https://orcid.org/0000-0001-8547-9804","contributorId":182,"corporation":false,"usgs":true,"family":"Smith","given":"Kathleen","email":"ksmith@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":547944,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walton-Day, Katherine 0000-0002-9146-6193 kwaltond@usgs.gov","orcid":"https://orcid.org/0000-0002-9146-6193","contributorId":1245,"corporation":false,"usgs":true,"family":"Walton-Day","given":"Katherine","email":"kwaltond@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":547945,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoal, Karin O.","contributorId":106677,"corporation":false,"usgs":false,"family":"Hoal","given":"Karin","email":"","middleInitial":"O.","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":547947,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Driscoll, Rhonda L. 0000-0001-7725-8956 rdriscoll@usgs.gov","orcid":"https://orcid.org/0000-0001-7725-8956","contributorId":745,"corporation":false,"usgs":true,"family":"Driscoll","given":"Rhonda","email":"rdriscoll@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":547946,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pietersen, K.","contributorId":141007,"corporation":false,"usgs":false,"family":"Pietersen","given":"K.","email":"","affiliations":[{"id":13649,"text":"JKTech, Pty Ltd, Brisbane, QLD, Australia","active":true,"usgs":false}],"preferred":false,"id":547948,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70039079,"text":"fs20123095 - 2012 - Wildfire effects on source-water quality--Lessons from Fourmile Canyon fire, Colorado, and implications for drinking-water treatment","interactions":[],"lastModifiedDate":"2012-07-18T01:01:44","indexId":"fs20123095","displayToPublicDate":"2012-07-17T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-3095","title":"Wildfire effects on source-water quality--Lessons from Fourmile Canyon fire, Colorado, and implications for drinking-water treatment","docAbstract":"Forested watersheds provide high-quality source water for many communities in the western United States. These watersheds are vulnerable to wildfires, and wildfire size, fire severity, and length of fire season have increased since the middle 1980s (Westerling and others, 2006). Burned watersheds are prone to increased flooding and erosion, which can impair water-supply reservoirs, water quality, and drinking-water treatment processes. Limited information exists on the degree, timing, and duration of the effects of wildfire on water quality, making it difficult for drinking-water providers to evaluate the risk and develop management options. In order to evaluate the effects of wildfire on water quality and downstream ecosystems in the Colorado Front Range, the U.S. Geological Survey initiated a study after the 2010 Fourmile Canyon fire near Boulder, Colorado. Hydrologists frequently sampled Fourmile Creek at monitoring sites upstream and downstream of the burned area to study water-quality changes during hydrologic conditions such as base flow, spring snowmelt, and summer thunderstorms. This fact sheet summarizes principal findings from the first year of research. Stream discharge and nitrate concentrations increased downstream of the burned area during snowmelt runoff, but increases were probably within the treatment capacity of most drinking-water plants, and limited changes were observed in downstream ecosystems. During and after high-intensity thunderstorms, however, turbidity, dissolved organic carbon, nitrate, and some metals increased by 1 to 4 orders of magnitude within and downstream of the burned area. Increases of such magnitude can pose problems for water-supply reservoirs, drinking-water treatment plants, and downstream aquatic ecosystems.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123095","usgsCitation":"Writer, J.H., and Murphy, S.F., 2012, Wildfire effects on source-water quality--Lessons from Fourmile Canyon fire, Colorado, and implications for drinking-water treatment: U.S. Geological Survey Fact Sheet 2012-3095, 4 p., https://doi.org/10.3133/fs20123095.","productDescription":"4 p.","numberOfPages":"4","additionalOnlineFiles":"N","costCenters":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true}],"links":[{"id":258973,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3095.gif"},{"id":258965,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3095/FS12-3095.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":258964,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3095/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Colorado","otherGeospatial":"Fourmile Canyon","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bd0cbe4b08c986b32f07c","contributors":{"authors":[{"text":"Writer, Jeffrey H. jwriter@usgs.gov","contributorId":1393,"corporation":false,"usgs":true,"family":"Writer","given":"Jeffrey","email":"jwriter@usgs.gov","middleInitial":"H.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":465590,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murphy, Sheila F. 0000-0002-5481-3635 sfmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-5481-3635","contributorId":1854,"corporation":false,"usgs":true,"family":"Murphy","given":"Sheila","email":"sfmurphy@usgs.gov","middleInitial":"F.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":465591,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70039040,"text":"sir20125100 - 2012 - Geohydrology of Big Bear Valley, California: phase 1--geologic framework, recharge, and preliminary assessment of the source and age of groundwater","interactions":[],"lastModifiedDate":"2012-07-17T01:01:41","indexId":"sir20125100","displayToPublicDate":"2012-07-16T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5100","title":"Geohydrology of Big Bear Valley, California: phase 1--geologic framework, recharge, and preliminary assessment of the source and age of groundwater","docAbstract":"The Big Bear Valley, located in the San Bernardino Mountains of southern California, has increased in population in recent years. Most of the water supply for the area is pumped from the alluvial deposits that form the Big Bear Valley groundwater basin. This study was conducted to better understand the thickness and structure of the groundwater basin in order to estimate the quantity and distribution of natural recharge to Big Bear Valley. A gravity survey was used to estimate the thickness of the alluvial deposits that form the Big Bear Valley groundwater basin. This determined that the alluvial deposits reach a maximum thickness of 1,500 to 2,000 feet beneath the center of Big Bear Lake and the area between Big Bear and Baldwin Lakes, and decrease to less than 500 feet thick beneath the eastern end of Big Bear Lake. Interferometric Synthetic Aperture Radar (InSAR) was used to measure pumping-induced land subsidence and to locate structures, such as faults, that could affect groundwater movement. The measurements indicated small amounts of land deformation (uplift and subsidence) in the area between Big Bear Lake and Baldwin Lake, the area near the city of Big Bear Lake, and the area near Sugarloaf, California. Both the gravity and InSAR measurements indicated the possible presence of subsurface faults in subbasins between Big Bear and Baldwin Lakes, but additional data are required for confirmation. The distribution and quantity of groundwater recharge in the area were evaluated by using a regional water-balance model (Basin Characterization Model, or BCM) and a daily rainfall-runoff model (INFILv3). The BCM calculated spatially distributed potential recharge in the study area of approximately 12,700 acre-feet per year (acre-ft/yr) of potential in-place recharge and 30,800 acre-ft/yr of potential runoff. Using the assumption that only 10 percent of the runoff becomes recharge, this approach indicated there is approximately 15,800 acre-ft/yr of total recharge in Big Bear Valley. The INFILv3 model was modified for this study to include a perched zone beneath the root zone to better simulate lateral seepage and recharge in the shallow subsurface in mountainous terrain. The climate input used in the INFILv3 model was developed by using daily climate data from 84 National Climatic Data Center stations and published Parameter Regression on Independent Slopes Model (PRISM) average monthly precipitation maps to match the drier average monthly precipitation measured in the Baldwin Lake drainage basin. This model resulted in a good representation of localized rain-shadow effects and calibrated well to measured lake volumes at Big Bear and Baldwin Lakes. The simulated average annual recharge was about 5,480 acre-ft/yr in the Big Bear study area, with about 2,800 acre-ft/yr in the Big Bear Lake surface-water drainage basin and about 2,680 acre-ft/yr in the Baldwin Lake surface-water drainage basin. One spring and eight wells were sampled and analyzed for chemical and isotopic data in 2005 and 2006 to determine if isotopic techniques could be used to assess the sources and ages of groundwater in the Big Bear Valley. This approach showed that the predominant source of recharge to the Big Bear Valley is winter precipitation falling on the surrounding mountains. The tritium and uncorrected carbon-14 ages of samples collected from wells for this study indicated that the groundwater basin contains water of different ages, ranging from modern to about 17,200-years old.The results of these investigations provide an understanding of the lateral and vertical extent of the groundwater basin, the spatial distribution of groundwater recharge, the processes responsible for the recharge, and the source and age of groundwater in the groundwater basin. Although the studies do not provide an understanding of the detailed water-bearing properties necessary to determine the groundwater availability of the basin, they do provide a framework for the future development of a groundwater model that would help to improve the understanding of the potential hydrologic effects of water-management alternatives in Big Bear Valley.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125100","collaboration":"Prepared in cooperation with Big Bear City Community Services District","usgsCitation":"Flint, L.E., Brandt, J., Christensen, A.H., Flint, A.L., Hevesi, J.A., Jachens, R., Kulongoski, J., Martin, P., and Sneed, M., 2012, Geohydrology of Big Bear Valley, California: phase 1--geologic framework, recharge, and preliminary assessment of the source and age of groundwater: U.S. Geological Survey Scientific Investigations Report 2012-5100, xiv, 112 p., https://doi.org/10.3133/sir20125100.","productDescription":"xiv, 112 p.","startPage":"i","endPage":"112","numberOfPages":"130","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":258929,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5100.jpg"},{"id":258920,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5100/pdf/sir20125100.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":258917,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5100/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"Big Bear Valley","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a1802e4b0c8380cd55665","contributors":{"authors":[{"text":"Flint, Lorraine E. 0000-0002-7868-441X lflint@usgs.gov","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":1184,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","email":"lflint@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465502,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brandt, Justin 0000-0002-9397-6824","orcid":"https://orcid.org/0000-0002-9397-6824","contributorId":75798,"corporation":false,"usgs":true,"family":"Brandt","given":"Justin","affiliations":[],"preferred":false,"id":465507,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Christensen, Allen H. 0000-0002-7061-5591 ahchrist@usgs.gov","orcid":"https://orcid.org/0000-0002-7061-5591","contributorId":1510,"corporation":false,"usgs":true,"family":"Christensen","given":"Allen","email":"ahchrist@usgs.gov","middleInitial":"H.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465505,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Flint, Alan L. 0000-0002-5118-751X aflint@usgs.gov","orcid":"https://orcid.org/0000-0002-5118-751X","contributorId":1492,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"aflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":465503,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hevesi, Joseph A. 0000-0003-2898-1800 jhevesi@usgs.gov","orcid":"https://orcid.org/0000-0003-2898-1800","contributorId":1507,"corporation":false,"usgs":true,"family":"Hevesi","given":"Joseph","email":"jhevesi@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465504,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jachens, Robert","contributorId":54660,"corporation":false,"usgs":true,"family":"Jachens","given":"Robert","affiliations":[],"preferred":false,"id":465506,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kulongoski, Justin T. 0000-0002-3498-4154","orcid":"https://orcid.org/0000-0002-3498-4154","contributorId":94750,"corporation":false,"usgs":true,"family":"Kulongoski","given":"Justin T.","affiliations":[],"preferred":false,"id":465508,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Martin, Peter pmmartin@usgs.gov","contributorId":799,"corporation":false,"usgs":true,"family":"Martin","given":"Peter","email":"pmmartin@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465501,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sneed, Michelle 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