Radio and acoustic telemetry were used to monitor the seasonal movement of hatchery-reared and wild shortnose sturgeon (622-927 mm total length) in the Savannah River. Diploid, and sterile hatchery-reared shortnose sturgeon, and wild shortnose sturgeon showed apparent similar seasonal patterns of movement within the river. We were unable to detect any significant differences in the seasonal mean river location, minimum daily distance moved, absolute distance moved, displacement or mean territory size among treatments. Fish moved throughout the brackish and freshwater interface area of the Savannah River during the summer months. Coinciding with decreasing fall temperatures, fish of all treatment groups moved downriver into brackish areas of the upper estuary, residing in the Front, Middle, and Back Rivers, where they remained through winter. Upriver movements of some hatchery-reared and wild groups began in early February as river temperatures began to increase. Shortnose sturgeon from each group selected apparent similar thermal, salinity and water depth conditions throughout the year. Hatchery-reared fish may be useful as surrogates for wild fish in behavioural studies. Triploid or surgically-sterilized fish may be used in situ behavioural studies where genetic contamination is a concern. It may be possible to monitor habitats used by released hatchery-reared fish to locate or verify remnant populations of rare or endangered species in systems where they are thought to be extirpated.
","language":"English","publisher":"Wiley-Blackwell","publisherLocation":"Berlin, Germany","doi":"10.1111/j.1439-0426.2011.01756.x","usgsCitation":"Trested, D., Ware, K., Bakal, R., and Isely, J.J., 2011, Microhabitat use and seasonal movements of hatchery-reared and wild shortnose sturgeon in the Savannah River, South Carolina--Georgia: Journal of Applied Ichthyology, v. 27, no. 2, p. 454-461, https://doi.org/10.1111/j.1439-0426.2011.01756.x.","productDescription":"8 p.","startPage":"454","endPage":"461","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-020790","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":475014,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1439-0426.2011.01756.x","text":"Publisher Index Page"},{"id":305432,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2011-03-28","publicationStatus":"PW","scienceBaseUri":"55926ce9e4b0b6d21dd67887","contributors":{"authors":[{"text":"Trested, D.G.","contributorId":98093,"corporation":false,"usgs":true,"family":"Trested","given":"D.G.","email":"","affiliations":[],"preferred":false,"id":556717,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ware, K.M.","contributorId":86603,"corporation":false,"usgs":true,"family":"Ware","given":"K.M.","email":"","affiliations":[],"preferred":false,"id":563923,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bakal, R.","contributorId":145420,"corporation":false,"usgs":false,"family":"Bakal","given":"R.","email":"","affiliations":[],"preferred":false,"id":563924,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Isely, J. Jeffery","contributorId":97224,"corporation":false,"usgs":true,"family":"Isely","given":"J.","email":"","middleInitial":"Jeffery","affiliations":[],"preferred":false,"id":563925,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70204971,"text":"70204971 - 2011 - Effects of conservation practices on wetland ecosystem services in the Mississippi Alluvial Valley","interactions":[],"lastModifiedDate":"2019-08-27T10:52:01","indexId":"70204971","displayToPublicDate":"2011-04-01T10:43:07","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Effects of conservation practices on wetland ecosystem services in the Mississippi Alluvial Valley","docAbstract":"Restoration of wetland ecosystems is an important priority for many state and federal agencies, as well as nongovernmental conservation organizations. The historic conversion of wetlands in the Mississippi Alluvial Valley (MAV) has resulted in large‐scale implementation of a variety of conservation practices designed to restore and enhance wetland ecosystem services. As a consequence, the effectiveness of multiple approaches in achieving desired conservation goals varies depending on site conditions, practices employed, and specific ecosystem services. We reviewed government agency programs and the scientific literature to evaluate the effects of conservation practices on wetlands in the MAV. There were 68 different conservation practices applied to a combined total of 1.27 million ha in the MAV between 2000 and 2006. These practices fell into two categories: Wetland Conservation Practices and Upland Conservation Practices. Sixteen different practices accounted for nearly 92% of the total area, and only three of these are directly related to wetlands: Wetland Wildlife Habitat Management, Wetland Restoration, and Riparian Forest Buffer. All three of these practices involve reforestation, primarily planting hard‐mast species such as Quercus sp. and Carya sp. These plantings are likely to develop into even‐aged stands of low tree diversity with little structural heterogeneity, which will impact future wildlife habitat. Since hydrology is a critical driver of wetland processes, the ability of a given conservation practice to restore wetland hydrology is a key determinant of how well it can restore ecosystem services. However, there is little to no follow‐up monitoring of projects, so it is difficult to know how much variability exists for any given practice or the efficacy of specific practices. Conservation practices that only plant trees without reconnecting the wetland to the hydrologic and nutrient fluxes in the watershed may restore some wildlife habitat but will do little for regulating services such as nitrogen retention. While conservation practices have overall beneficial effects on many ecosystem services in the MAV, the most effective are those with a direct link between the actions associated with a given practice and controls over ecosystem processes and services.
","language":"English","publisher":"ESA","doi":"10.1890/10-0592.1","usgsCitation":"Faulkner, S., Barrow, W., Keeland, B., Walls, S.E., and Telesco, D., 2011, Effects of conservation practices on wetland ecosystem services in the Mississippi Alluvial Valley: Ecological Applications, v. 21, no. sp1, p. s31-s48, https://doi.org/10.1890/10-0592.1.","productDescription":"18 p.","startPage":"s31","endPage":"s48","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":366960,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Kentucky, Louisiana, Mississippi, Missouri, Tennessee ","otherGeospatial":"Mississippi Alluvial Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.52783203125,\n 37.09023980307208\n ],\n [\n -89.56054687499999,\n 37.09023980307208\n ],\n [\n -91.7138671875,\n 35.04798673426734\n ],\n [\n -91.845703125,\n 34.14363482031264\n ],\n [\n -92.0654296875,\n 31.85889704445453\n ],\n [\n -92.17529296875,\n 30.221101852485987\n ],\n [\n -91.01074218749999,\n 29.267232865200878\n ],\n [\n -89.7802734375,\n 29.477861195816843\n ],\n [\n -89.736328125,\n 30.012030680358613\n ],\n [\n -89.69238281249999,\n 30.50548389892728\n ],\n [\n -90.439453125,\n 30.826780904779774\n ],\n [\n -90.9228515625,\n 31.372399104880525\n ],\n [\n -90.46142578125,\n 32.43561304116276\n ],\n [\n -90.65917968749999,\n 33.486435450999885\n ],\n [\n -88.52783203125,\n 37.09023980307208\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"21","issue":"sp1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Faulkner, Stephen 0000-0001-5295-1383 faulkners@usgs.gov","orcid":"https://orcid.org/0000-0001-5295-1383","contributorId":146152,"corporation":false,"usgs":true,"family":"Faulkner","given":"Stephen","email":"faulkners@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":769355,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barrow, Wylie C. Jr. 0000-0003-4671-2823 barroww@usgs.gov","orcid":"https://orcid.org/0000-0003-4671-2823","contributorId":168953,"corporation":false,"usgs":true,"family":"Barrow","given":"Wylie C.","suffix":"Jr.","email":"barroww@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":769356,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keeland, Bob","contributorId":218479,"corporation":false,"usgs":false,"family":"Keeland","given":"Bob","email":"","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":769357,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walls, Susan E. 0000-0001-7391-9155","orcid":"https://orcid.org/0000-0001-7391-9155","contributorId":209862,"corporation":false,"usgs":true,"family":"Walls","given":"Susan","middleInitial":"E.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":769358,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Telesco, David","contributorId":218480,"corporation":false,"usgs":false,"family":"Telesco","given":"David","email":"","affiliations":[],"preferred":false,"id":769359,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70208563,"text":"70208563 - 2011 - Integrating estimates of ecosystem services from conservation programs and practices into models for decision makers","interactions":[],"lastModifiedDate":"2020-02-20T10:01:17","indexId":"70208563","displayToPublicDate":"2011-04-01T09:47:40","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Integrating estimates of ecosystem services from conservation programs and practices into models for decision makers","docAbstract":"Most government agencies involved in land management are seeking consistent approaches to evaluate the effects of specific management actions on ecological processes and concurrent changes on ecosystem services. This is especially true within the context of anthropogenic influences, such as land use and climate change. The Conservation Effects Assessment Project—Wetlands National Component (CEAP–Wetlands) was developed by the U.S. Department of Agriculture (USDA) to evaluate effects of conservation practices on ecosystem services including carbon sequestration for climate stability, groundwater recharge, runoff and flood attenuation, water storage, nutrient and contaminant retention, and wildlife habitat. A primary purpose of CEAP–Wetlands is to provide science‐based information in an adaptive monitoring framework for use by the USDA to facilitate policy and management decisions, and to document effects of conservation programs and practices to the federal Office of Management and Budget. Herein, we propose a modeling framework to allow estimation of conservation practice and program effects on various ecosystem services at different temporal and spatial scales. This modeling approach provides the broad view needed by decision‐makers to avoid unintended negative environmental outcomes, and to communicate to society the positive effects of conservation actions on a broad suite of ecosystem services.
","language":"English","publisher":"Ecological Society of America","doi":"10.1890/09-0285.1","usgsCitation":"Euliss, N., Smith, L.M., Liu, S., Duffy, W.G., Faulkner, S., Gleason, R.A., and Eckles, S.D., 2011, Integrating estimates of ecosystem services from conservation programs and practices into models for decision makers: Ecological Applications, v. 21, no. sp1, p. 5128-5134, https://doi.org/10.1890/09-0285.1.","productDescription":"7 p.","startPage":"5128","endPage":"5134","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":372381,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"21","issue":"sp1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Euliss, Ned ceuliss@usgs.gov","contributorId":192021,"corporation":false,"usgs":true,"family":"Euliss","given":"Ned","email":"ceuliss@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":782532,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Loren M.","contributorId":191878,"corporation":false,"usgs":false,"family":"Smith","given":"Loren","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":782533,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liu, Shuguang 0000-0002-6027-3479 sliu@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3479","contributorId":147403,"corporation":false,"usgs":true,"family":"Liu","given":"Shuguang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":782534,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Duffy, Walter G. wgd7001@usgs.gov","contributorId":2491,"corporation":false,"usgs":true,"family":"Duffy","given":"Walter","email":"wgd7001@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":false,"id":782535,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Faulkner, Stephen 0000-0001-5295-1383 faulkners@usgs.gov","orcid":"https://orcid.org/0000-0001-5295-1383","contributorId":146152,"corporation":false,"usgs":true,"family":"Faulkner","given":"Stephen","email":"faulkners@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":782536,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gleason, Robert A. 0000-0001-5308-8657 rgleason@usgs.gov","orcid":"https://orcid.org/0000-0001-5308-8657","contributorId":2402,"corporation":false,"usgs":true,"family":"Gleason","given":"Robert","email":"rgleason@usgs.gov","middleInitial":"A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":782537,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Eckles, S. Diane","contributorId":222557,"corporation":false,"usgs":false,"family":"Eckles","given":"S.","email":"","middleInitial":"Diane","affiliations":[],"preferred":false,"id":782538,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70256787,"text":"70256787 - 2011 - Ecosystem services provided by playas in the High Plains: potential influences of USDA conservation programs","interactions":[],"lastModifiedDate":"2024-09-09T16:33:46.545535","indexId":"70256787","displayToPublicDate":"2011-04-01T09:14:05","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Ecosystem services provided by playas in the High Plains: potential influences of USDA conservation programs","docAbstract":"Playas are shallow depressional wetlands and the dominant wetland type in the non-glaciated High Plains of the United States. This region is one of the most intensively cultivated regions in the Western Hemisphere, and playas are profoundly impacted by a variety of agricultural activities. Conservation practices promoted through Farm Bills by the U.S. Department of Agriculture (USDA) that influence playas and surrounding catchments impact ecosystem functions and related services provided by wetlands in this region. As part of a national assessment, we review effects of agricultural cultivation and effectiveness of USDA conservation programs and practices on ecosystem functions and associated services of playas. Services provided by playas are influenced by hydrological function, and unlike other wetland types in the United States, hydrological function of playas is impacted more by accumulated sediments than drainage. Most playas with cultivated catchments have lost greater than 100% of their volume from sedimentation causing reduced hydroperiods. The Conservation Reserve Program (CRP) has the largest influence on playa catchments (the High Plains has >2.8 million ha), and associated sedimentation, of any USDA program. Unfortunately, most practices applied under CRP did not consider restoration of playa ecosystem function as a primary benefit, but rather established dense exotic grass in the watersheds to reduce soil erosion. Although this has reduced soil erosion, few studies have investigated its effects on playa hydrological function and services. Our review demonstrates that the Wetlands Reserve Program (WRP) has seldom been applied in the High Plains outside of south-central Nebraska. However, this is the primary program that exists within the USDA allowing conservation practices that restore wetland hydrology such as sediment removal. In addition to sediment removal, this practice has the greatest potential effect on improving hydrologic function by reducing sedimentation in vegetative buffer strips. We estimate that a 50-m native-grass buffer strip could improve individual playa hydroperiods by up to 90 days annually, enhancing delivery of most natural playa services. The potential for restoration of playa services using USDA programs is extensive, but only if WRP and associated practices are promoted and playas are considered an integral part of CRP contracts.
","language":"English","publisher":"Ecological Society of America","doi":"10.1890/09-1133.1","usgsCitation":"Smith, L.M., Haukos, D.A., McMurry, S., and Willis, D., 2011, Ecosystem services provided by playas in the High Plains: potential influences of USDA conservation programs: Ecological Applications, v. 21, no. sp1, p. S82-S92, https://doi.org/10.1890/09-1133.1.","productDescription":"11 p.","startPage":"S82","endPage":"S92","ipdsId":"IP-121660","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":486961,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/11244/321258","text":"External Repository"},{"id":433633,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Kansas, Nebraska, New Mexico, Oklahoma, Texas, Wyoming","otherGeospatial":"High Plains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -106.00717954750166,\n 42.491418601608046\n ],\n [\n -106.00717954750166,\n 31.281299035066382\n ],\n [\n -99.88771786947859,\n 31.281299035066382\n ],\n [\n -99.88771786947859,\n 42.491418601608046\n ],\n [\n -106.00717954750166,\n 42.491418601608046\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"21","issue":"sp1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Loren M.","contributorId":191878,"corporation":false,"usgs":false,"family":"Smith","given":"Loren","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":912759,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":912760,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McMurry, Scott T.","contributorId":344063,"corporation":false,"usgs":false,"family":"McMurry","given":"Scott T.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":912761,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Willis, David","contributorId":344064,"corporation":false,"usgs":false,"family":"Willis","given":"David","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":912762,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70133845,"text":"70133845 - 2011 - Development of a depth-integrated sample arm to reduce solids stratification bias in stormwater sampling","interactions":[],"lastModifiedDate":"2021-05-21T19:00:40.991522","indexId":"70133845","displayToPublicDate":"2011-04-01T09:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3711,"text":"Water Environment Research","active":true,"publicationSubtype":{"id":10}},"title":"Development of a depth-integrated sample arm to reduce solids stratification bias in stormwater sampling","docAbstract":"A new depth-integrated sample arm (DISA) was developed to improve the representation of solids in stormwater, both organic and inorganic, by collecting a water quality sample from multiple points in the water column. Data from this study demonstrate the idea of vertical stratification of solids in storm sewer runoff. Concentrations of suspended sediment in runoff were statistically greater using a fixed rather than multi-point collection system. Median suspended sediment concentrations measured at the fixed location (near the pipe invert) were approximately double those collected using the DISA. In general, concentrations and size distributions of suspended sediment decreased with increasing vertical distance from the storm sewer invert. Coarser particles tended to dominate the distribution of solids near the storm sewer invert as discharge increased. In contrast to concentration and particle size, organic material, to some extent, was distributed homogenously throughout the water column, likely the result of its low specific density, which allows for thorough mixing in less turbulent water.
","language":"English","publisher":"Water Environment Federation","publisherLocation":"Alexandria, VA","doi":"10.2175/106143010X12851009156006","usgsCitation":"Selbig, W.R., and Bannerman, R.T., 2011, Development of a depth-integrated sample arm to reduce solids stratification bias in stormwater sampling: Water Environment Research, v. 83, no. 4, p. 347-357, https://doi.org/10.2175/106143010X12851009156006.","productDescription":"11 p.","startPage":"347","endPage":"357","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-020752","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":296220,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"83","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"546f10ece4b057be23d4a770","contributors":{"authors":[{"text":"Selbig, William R. 0000-0003-1403-8280 wrselbig@usgs.gov","orcid":"https://orcid.org/0000-0003-1403-8280","contributorId":877,"corporation":false,"usgs":true,"family":"Selbig","given":"William","email":"wrselbig@usgs.gov","middleInitial":"R.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":525477,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bannerman, Roger T.","contributorId":127491,"corporation":false,"usgs":false,"family":"Bannerman","given":"Roger","email":"","middleInitial":"T.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":525478,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":99176,"text":"ofr20111074 - 2011 - Groundwater quality in the Eastern Lake Ontario Basin, New York, 2008","interactions":[],"lastModifiedDate":"2021-11-03T18:18:39.31246","indexId":"ofr20111074","displayToPublicDate":"2011-04-01T00:00:00","publicationYear":"2011","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":"2011-1074","title":"Groundwater quality in the Eastern Lake Ontario Basin, New York, 2008","docAbstract":"Water samples were collected from nine production wells and nine private residential wells in the Eastern Lake Ontario Basin of New York from August through October 2008 and analyzed to characterize the chemical quality of groundwater. The wells were selected to provide adequate spatial coverage of the 3,225-square-mile study area; areas of greatest groundwater use were emphasized. Eight of the 18 wells sampled, were screened in sand and gravel aquifers, and 10 were finished in bedrock aquifers. The samples were collected and processed by standard U.S. Geological Survey procedures and were analyzed for 223 physical properties and constituents, including major ions, nutrients, trace elements, radon-222, pesticides, volatile organic compounds (VOCs), and indicator bacteria.\r\nWater quality in the study area is generally good, but concentrations of some constituents exceeded current or proposed Federal or New York State drinking-water standards; these were: color (2 samples), pH (1 sample), sodium (5 samples), chloride (1 sample), aluminum (2 samples), iron (5 unfiltered samples), manganese (3 samples), radon-222 (13 samples), and bacteria (4 samples). Dissolved-oxygen concentrations in samples from wells finished in sand and gravel [median 3.8 milligrams per liter (mg/L)] were greater than those from wells finished in bedrock (median less than 0.7 mg/L). The pH of all samples was typically neutral or slightly basic (median 7.4); the median water temperature was 11.3 degrees Celsius. The ions with the highest concentrations were bicarbonate (median 174 mg/L) and calcium (median 24.1 mg/L). Groundwater in the basin ranges from soft to moderately hard [less than or equal to 120 mg/L as CaCO3] and median hardness was 90 mg/L as CaCO3. Concentrations of nitrate plus nitrite in samples from sand and gravel wells (median concentration 0.42 mg/L as nitrogen) were generally higher than those in samples from bedrock wells (median <0.04 mg/L as nitrogen). The trace elements with the highest concentrations were strontium [median 138 micrograms per liter (mug/L)], barium (median 38.2 mug/L) and iron (median 44 mug/L). Radon-222 activities were generally high [median 500 picocuries per liter (pCi/L)]; 72 percent of all samples exceeded a proposed U.S. Environmental Protection Agency (USEPA) drinking-water standard of 300 pCi/L. Five pesticides and pesticide degradates were detected among 6 samples at concentrations of 0.03 mug/L or less; most were herbicides or their degradates. Six VOCs were detected among 9 samples at concentrations of 1.2 mug/L or less; these included 3 trihalomethanes, benzene, toluene, and xylenes. Total coliform bacteria were detected in 3 samples, and the heterotrophic plate count exceeded the USEPA maximum contaminant level (MCL) of 500 colony forming units in one sample. Fecal coliform bacteria, including Escherichia coli, were not detected in any sample.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20111074","usgsCitation":"Risen, A.J., and Reddy, J.E., 2011, Groundwater quality in the Eastern Lake Ontario Basin, New York, 2008: U.S. Geological Survey Open-File Report 2011-1074, v, 32 p., https://doi.org/10.3133/ofr20111074.","productDescription":"v, 32 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2008-08-01","temporalEnd":"2008-10-31","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":116276,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1074.gif"},{"id":391331,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_95115.htm"},{"id":14589,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1074/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New York","otherGeospatial":"eastern Lake Ontario basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.5,43.25 ], [ -76.5,44.5 ], [ -74.5,44.5 ], [ -74.5,43.25 ], [ -76.5,43.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a95e4b07f02db659982","contributors":{"authors":[{"text":"Risen, Amy J.","contributorId":88070,"corporation":false,"usgs":true,"family":"Risen","given":"Amy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":307672,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reddy, James E. 0000-0002-6998-7267 jreddy@usgs.gov","orcid":"https://orcid.org/0000-0002-6998-7267","contributorId":1080,"corporation":false,"usgs":true,"family":"Reddy","given":"James","email":"jreddy@usgs.gov","middleInitial":"E.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307671,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":99174,"text":"fs20103048 - 2011 - Water Resources of Lafayette Parish","interactions":[],"lastModifiedDate":"2012-03-08T17:16:40","indexId":"fs20103048","displayToPublicDate":"2011-03-31T00:00:00","publicationYear":"2011","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":"2010-3048","title":"Water Resources of Lafayette Parish","docAbstract":"Fresh groundwater and surface water resources are available in Lafayette Parish, which is located in south-central Louisiana. In 2005, more than 47 million gallons per day (Mgal/d) were withdrawn from water sources in Lafayette Parish. About 92 percent (43.7 Mgal/d) of withdrawals was groundwater, and 8 percent (3.6 Mgal/d) was surface water. Public-supply withdrawals accounted for nearly 49 percent (23 Mgal/d) of the total groundwater use, with the cities of Lafayette and Carencro using about 21 Mgal/d. Withdrawals for other uses included about 10.4 Mgal/d for rice irrigation and about 8.4 Mgal/d for aquaculture. Water withdrawals in Lafayette Parish increased from 33 Mgal/d in 1995 to about 47 Mgal/d in 2005.\r\nThis fact sheet summarizes information on the water resources of Lafayette Parish, La. Information on groundwater and surface-water availability, quality, development, use, and trends is based on previously published reports listed in the references section.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20103048","collaboration":"In cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"Fendick, R., Griffith, J.M., and Prakken, L., 2011, Water Resources of Lafayette Parish: U.S. Geological Survey Fact Sheet 2010-3048, 6 p., https://doi.org/10.3133/fs20103048.","productDescription":"6 p.","additionalOnlineFiles":"N","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"links":[{"id":126182,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3048.png"},{"id":14585,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3048/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.33333333333333,30 ], [ -92.33333333333333,31 ], [ -91.83333333333333,31 ], [ -91.83333333333333,30 ], [ -92.33333333333333,30 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a08e4b07f02db5fa3cf","contributors":{"authors":[{"text":"Fendick, Robert B. Jr. rfendick@usgs.gov","contributorId":1313,"corporation":false,"usgs":true,"family":"Fendick","given":"Robert B.","suffix":"Jr.","email":"rfendick@usgs.gov","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":false,"id":307663,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Griffith, Jason M. 0000-0002-8942-0380 jmgriff@usgs.gov","orcid":"https://orcid.org/0000-0002-8942-0380","contributorId":2923,"corporation":false,"usgs":true,"family":"Griffith","given":"Jason","email":"jmgriff@usgs.gov","middleInitial":"M.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307664,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prakken, Lawrence B.","contributorId":73978,"corporation":false,"usgs":true,"family":"Prakken","given":"Lawrence B.","affiliations":[],"preferred":false,"id":307665,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":9001434,"text":"sir20115019 - 2011 - Simulation of water-use conservation scenarios for the Mississippi Delta using an existing regional groundwater flow model","interactions":[],"lastModifiedDate":"2012-03-08T17:16:40","indexId":"sir20115019","displayToPublicDate":"2011-03-31T00:00:00","publicationYear":"2011","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":"2011-5019","title":"Simulation of water-use conservation scenarios for the Mississippi Delta using an existing regional groundwater flow model","docAbstract":"The Mississippi River alluvial plain in northwestern Mississippi (referred to as the Delta), once a floodplain to the Mississippi River covered with hardwoods and marshland, is now a highly productive agricultural region of large economic importance to Mississippi. Water for irrigation is supplied primarily by the Mississippi River Valley alluvial aquifer, and although the alluvial aquifer has a large reserve, there is evidence that the current rate of water use from the alluvial aquifer is not sustainable. Using an existing regional groundwater flow model, conservation scenarios were developed for the alluvial aquifer underlying the Delta region in northwestern Mississippi to assess where the implementation of water-use conservation efforts would have the greatest effect on future water availability-either uniformly throughout the Delta, or focused on a cone of depression in the alluvial aquifer underlying the central part of the Delta. Five scenarios were simulated with the Mississippi Embayment Regional Aquifer Study groundwater flow model: (1) a base scenario in which water use remained constant at 2007 rates throughout the entire simulation; (2) a 5-percent 'Delta-wide' conservation scenario in which water use across the Delta was decreased by 5 percent; (3) a 5-percent 'cone-equivalent' conservation scenario in which water use within the area of the cone of depression was decreased by 11 percent (a volume equivalent to the 5-percent Delta-wide conservation scenario); (4) a 25-percent Delta-wide conservation scenario in which water use across the Delta was decreased by 25 percent; and (5) a 25-percent cone-equivalent conservation scenario in which water use within the area of the cone of depression was decreased by 55 percent (a volume equivalent to the 25-percent Delta-wide conservation scenario). The Delta-wide scenarios result in greater average water-level improvements (relative to the base scenario) for the entire Delta area than the cone-equivalent scenarios; however, the cone-equivalent scenarios result in greater average water-level improvements within the area of the cone of depression because of focused conservation efforts within that area. Regardless of where conservation is located, the greatest average improvements in water level occur within the area of the cone of depression because of the corresponding large area of unsaturated aquifer material within the area of the cone of depression and the hydraulic gradient, which slopes from the periphery of the Delta towards the area of the cone of depression. Of the four conservation scenarios, the 25-percent cone-equivalent scenario resulted in the greatest increase in storage relative to the base scenario with a 32-percent improvement over the base scenario across the entire Delta and a 60-percent improvement within the area of the cone of depression. Overall, the results indicate that focusing conservation efforts within the area of the cone of depression, rather than distributing conservation efforts uniformly across the Delta, results in greater improvements in the amount of storage within the alluvial aquifer. Additionally, as the total amount of conservation increases (that is, from 5 to 25 percent), the difference in storage improvement between the Delta-wide and cone-equivalent scenarios also increases, resulting in greater gains in storage in the cone-equivalent scenario than in the Delta-wide scenario for the same amount of conservation.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115019","collaboration":"Prepared in cooperation with the Yazoo Mississippi Delta Joint Water Management District","usgsCitation":"Barlow, J.R., and Clark, B.R., 2011, Simulation of water-use conservation scenarios for the Mississippi Delta using an existing regional groundwater flow model: U.S. Geological Survey Scientific Investigations Report 2011-5019, iv, 14 p., https://doi.org/10.3133/sir20115019.","productDescription":"iv, 14 p.","additionalOnlineFiles":"N","costCenters":[{"id":394,"text":"Mississippi Water Science Center","active":true,"usgs":true}],"links":[{"id":126181,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5019.jpg"},{"id":19241,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2011/5019/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Mississippi","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92,32 ], [ -92,35 ], [ -89,35 ], [ -89,32 ], [ -92,32 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a17e4b07f02db6042d5","contributors":{"authors":[{"text":"Barlow, Jeannie R.B.","contributorId":33965,"corporation":false,"usgs":true,"family":"Barlow","given":"Jeannie","email":"","middleInitial":"R.B.","affiliations":[],"preferred":false,"id":344473,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Brian R. 0000-0001-6611-3807 brclark@usgs.gov","orcid":"https://orcid.org/0000-0001-6611-3807","contributorId":1502,"corporation":false,"usgs":true,"family":"Clark","given":"Brian","email":"brclark@usgs.gov","middleInitial":"R.","affiliations":[{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"preferred":true,"id":344472,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70179138,"text":"70179138 - 2011 - Columbia River Project water use plan: Mid Columbia sturgeon incubation and rearing study (year 2)","interactions":[],"lastModifiedDate":"2021-10-27T15:54:30.475465","indexId":"70179138","displayToPublicDate":"2011-03-31T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Columbia River Project water use plan: Mid Columbia sturgeon incubation and rearing study (year 2)","docAbstract":"This report describes the results from the second year of a three-year investigation on the effects of different thermal regimes on incubation and rearing early life stages of white sturgeon Acipenser transmontanus. The Columbia River has been significantly altered by the construction of dams resulting in annual flows and water temperatures that differ from historical levels. White sturgeon have been demonstrated to spawn in two very distinct sections of the Columbia River in British Columbia, Canada, which are both located immediately downstream of hydropower facilities. The thermal regimes differ substantially between these two areas. The general approach of this study was to incubate and rear white sturgeon early life stages under two thermal regimes; one mimicking the current, cool water regime of the Columbia River downstream from Revelstoke Dam, and one mimicking a warmer regime similar to conditions found on the Columbia River at the international border. Second-year results suggest that thermal regimes during incubation influence rate of egg development and size at hatch. Eggs incubated under the warm thermal regime hatched sooner than those incubated under the cool thermal regime. Mean length of free embryos at hatch was significantly different between thermal regimes with free embryos from the warm thermal regime being longer at hatch. However, free embryos from the cool thermal regime had a significantly higher mean weight at hatch. This is in contrast with results obtained during 2009. The rearing trials revealed that growth of fish reared in the cool thermal regime was substantially less than growth of fish reared in the warm thermal regime. The magnitude of mortality was greatest in the warm thermal regime prior to initiation of exogenous feeding, but chronic low levels of mortality in the cool thermal regime were higher throughout the period. The starvation trials showed that the fish in the warm thermal regime exhausted their yolk reserves faster than fish in the cool thermal regime.
","language":"English","publisher":"BC Hydro","usgsCitation":"Parsley, M.J., Kofoot, E., and Blubaugh, J.T., 2011, Columbia River Project water use plan: Mid Columbia sturgeon incubation and rearing study (year 2), 29 p.","productDescription":"29 p.","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":332276,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":391014,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.bchydro.com/toolbar/about/sustainability/conservation/water_use_planning/southern_interior/columbia_river/columbia-sturgeon.html"}],"country":"Canada","state":"British Columbia","otherGeospatial":"Columbia River, Revelstoke Dam","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.3612060546875,\n 50.95496653774911\n ],\n [\n -118.05908203124999,\n 50.95496653774911\n ],\n [\n -118.05908203124999,\n 51.12421275782688\n ],\n [\n -118.3612060546875,\n 51.12421275782688\n ],\n [\n -118.3612060546875,\n 50.95496653774911\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5859000ee4b03639a6025e4d","contributors":{"authors":[{"text":"Parsley, Michael J. 0000-0003-0097-6364 mparsley@usgs.gov","orcid":"https://orcid.org/0000-0003-0097-6364","contributorId":2608,"corporation":false,"usgs":true,"family":"Parsley","given":"Michael","email":"mparsley@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":656157,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kofoot, Eric","contributorId":9939,"corporation":false,"usgs":true,"family":"Kofoot","given":"Eric","affiliations":[],"preferred":false,"id":656158,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blubaugh, J. Timothy","contributorId":121430,"corporation":false,"usgs":true,"family":"Blubaugh","given":"J.","email":"","middleInitial":"Timothy","affiliations":[],"preferred":false,"id":656159,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":99175,"text":"sir20115020 - 2011 - Effects of natural and human factors on groundwater quality of basin-fill aquifers in the southwestern United States: Conceptual models for selected contaminants","interactions":[],"lastModifiedDate":"2024-01-16T20:34:07.837656","indexId":"sir20115020","displayToPublicDate":"2011-03-31T00:00:00","publicationYear":"2011","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":"2011-5020","title":"Effects of natural and human factors on groundwater quality of basin-fill aquifers in the southwestern United States: Conceptual models for selected contaminants","docAbstract":"As part of the U.S. Geological Survey National Water-Quality Assessment (NAWQA) Program, the Southwest Principal Aquifers (SWPA) study is building a better understanding of the factors that affect water quality in basin-fill aquifers in the Southwestern United States. The SWPA study area includes four principal aquifers of the United States: the Basin and Range basin-fill aquifers in California, Nevada, Utah, and Arizona; the Rio Grande aquifer system in New Mexico and Colorado; and the California Coastal Basin and Central Valley aquifer systems in California. Similarities in the hydrogeology, land- and water-use practices, and water-quality issues for alluvial basins within the study area allow for regional analysis through synthesis of the baseline knowledge of groundwater-quality conditions in basins previously studied by the NAWQA Program. Resulting improvements in the understanding of the sources, movement, and fate of contaminants are assisting in the development of tools used to assess aquifer susceptibility and vulnerability.
This report synthesizes previously published information about the groundwater systems and water quality of 15 information-rich basin-fill aquifers (SWPA case-study basins) into conceptual models of the primary natural and human factors commonly affecting groundwater quality with respect to selected contaminants, thereby helping to build a regional understanding of the susceptibility and vulnerability of basin-fill aquifers to those contaminants. Four relatively common contaminants (dissolved solids, nitrate, arsenic, and uranium) and two contaminant classes (volatile organic compounds (VOCs) and pesticide compounds) were investigated for sources and controls affecting their occurrence and distribution above specified levels of concern in groundwater of the case-study basins. Conceptual models of factors that are important to aquifer vulnerability with respect to those contaminants and contaminant classes were subsequently formed. The conceptual models are intended in part to provide a foundation for subsequent development of regional-scale statistical models that relate specific constituent concentrations or occurrence in groundwater to natural and human factors.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115020","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Bexfield, L.M., Thiros, S.A., Anning, D.W., Huntington, J.M., and McKinney, T., 2011, Effects of natural and human factors on groundwater quality of basin-fill aquifers in the southwestern United States: Conceptual models for selected contaminants: U.S. Geological Survey Scientific Investigations Report 2011-5020, viii, 90 p., https://doi.org/10.3133/sir20115020.","productDescription":"viii, 90 p.","numberOfPages":"102","additionalOnlineFiles":"N","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science 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dwanning@usgs.gov","contributorId":432,"corporation":false,"usgs":true,"family":"Anning","given":"David","email":"dwanning@usgs.gov","middleInitial":"W.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307666,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Huntington, Jena M. 0000-0002-9291-1404 jmhunt@usgs.gov","orcid":"https://orcid.org/0000-0002-9291-1404","contributorId":2294,"corporation":false,"usgs":true,"family":"Huntington","given":"Jena","email":"jmhunt@usgs.gov","middleInitial":"M.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307669,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McKinney, Tim S.","contributorId":66792,"corporation":false,"usgs":true,"family":"McKinney","given":"Tim S.","affiliations":[],"preferred":false,"id":307670,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":9001426,"text":"sir20105228 - 2011 - Trends in nutrient concentrations, loads, and yields in streams in the Sacramento, San Joaquin, and Santa Ana Basins, California, 1975-2004","interactions":[],"lastModifiedDate":"2022-12-09T21:44:56.698484","indexId":"sir20105228","displayToPublicDate":"2011-03-30T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5228","title":"Trends in nutrient concentrations, loads, and yields in streams in the Sacramento, San Joaquin, and Santa Ana Basins, California, 1975-2004","docAbstract":"A comprehensive database was assembled for the Sacramento, San Joaquin, and Santa Ana Basins in California on nutrient concentrations, flows, and point and nonpoint sources of nutrients for 1975-2004. Most of the data on nutrient concentrations (nitrate, ammonia, total nitrogen, orthophosphate, and total phosphorus) were from the U.S. Geological Survey's National Water Information System database (35.2 percent), the California Department of Water Resources (21.9 percent), the University of California at Davis (21.6 percent), and the U.S. Environmental Protection Agency's STOrage and RETrieval database (20.0 percent). Point-source discharges accounted for less than 1 percent of river flows in the Sacramento and San Joaquin Rivers, but accounted for close to 80 percent of the nonstorm flow in the Santa Ana River. Point sources accounted for 4 and 7 percent of the total nitrogen and total phosphorus loads, respectively, in the Sacramento River at Freeport for 1985-2004. Point sources accounted for 8 and 17 percent of the total nitrogen and total phosphorus loads, respectively, in the San Joaquin River near Vernalis for 1985-2004. The volume of wastewater discharged into the Santa Ana River increased almost three-fold over the study period. However, due to improvements in wastewater treatment, the total nitrogen load to the Santa Ana River from point sources in 2004 was approximately the same as in 1975 and the total phosphorus load in 2004 was less than in 1975. Nonpoint sources of nutrients estimated in this study included atmospheric deposition, fertilizer application, manure production, and tile drainage. The estimated dry deposition of nitrogen exceeded wet deposition in the Sacramento and San Joaquin Valleys and in the basin area of the Santa Ana Basin, with ratios of dry to wet deposition of 1.7, 2.8, and 9.8, respectively. Fertilizer application increased appreciably from 1987 to 2004 in all three California basins, although manure production increased in the San Joaquin Basin but decreased in the Sacramento and Santa Ana Basins from 1982 to 2002. Tile drainage accounted for 22 percent of the total nitrogen load in the San Joaquin River near Vernalis for 1985-2004. Nutrient loads and trends were calculated by using the log-linear multiple-regression model, LOADEST. Loads were calculated for water years 1975-2004 for 22 sites in the Sacramento Basin, 15 sites in the San Joaquin Basin, and 6 sites in the Santa Ana Basin. The average annual load of total nitrogen and total phosphorus for 1985-2004 in subbasins in the Sacramento and San Joaquin Basins were divided by their drainage areas to calculate average annual yield. Total nitrogen yields were greater than 2.45 tons per square mile per year [(tons/mi2)/yr] in about 61 percent of the valley floor in the San Joaquin Basin compared with only about 12 percent of the valley floor in the Sacramento Basin. Total phosphorus yields were greater than 0.34 (tons/mi2)/yr in about 43 percent of the valley floor in the San Joaquin Basin compared with only about 5 percent in the valley floor of the Sacramento Basin. In a stepwise multiple linear-regression analysis of 30 subbasins in the Sacramento and San Joaquin Basins, the most important explanatory variables (out of 11 variables) for the response variable (total nitrogen yield) were the percentage of land use in (1) orchards and vineyards, (2) row crops, and (3) urban categories. For total phosphorus yield, the most important explanatory variable was the amount of fertilizer application plus manure production. Trends were evaluated for three time periods: 1975-2004, 1985-2004, and 1993-2004. Most trends in flow-adjusted concentrations of nutrients in the Sacramento Basin were downward for all three time periods. The decreasing nutrient trends in the American River at Sacramento and the Sacramento River at Freeport for 1975-2004 were attributed to the consolidation of wastewater in the Sacramento metropolitan area in December 1982 to","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105228","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Kratzer, C.R., Kent, R., Seleh, D.K., Knifong, D.L., Dileanis, P.D., and Orlando, J., 2011, Trends in nutrient concentrations, loads, and yields in streams in the Sacramento, San Joaquin, and Santa Ana Basins, California, 1975-2004: U.S. Geological Survey Scientific Investigations Report 2010-5228, xii, 112p., https://doi.org/10.3133/sir20105228.","productDescription":"xii, 112p.","numberOfPages":"112","additionalOnlineFiles":"Y","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":116267,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5228.jpg"},{"id":410239,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_95083.htm","linkFileType":{"id":5,"text":"html"}},{"id":19234,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5228/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"Sacramento, San Joaquin, and Santa Ana Basins","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.0667,\n 36.75\n ],\n [\n -123.0667,\n 41.7333\n ],\n [\n -119.25,\n 41.7333\n ],\n [\n -119.25,\n 36.75\n ],\n [\n -123.0667,\n 36.75\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e2e4b07f02db5e4d6f","contributors":{"authors":[{"text":"Kratzer, Charles R.","contributorId":30619,"corporation":false,"usgs":true,"family":"Kratzer","given":"Charles","email":"","middleInitial":"R.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":344453,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kent, Robert 0000-0003-4174-9467 rhkent@usgs.gov","orcid":"https://orcid.org/0000-0003-4174-9467","contributorId":1445,"corporation":false,"usgs":true,"family":"Kent","given":"Robert","email":"rhkent@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":344451,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seleh, Dina K.","contributorId":50275,"corporation":false,"usgs":true,"family":"Seleh","given":"Dina","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":344454,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Knifong, Donna L. dknifong@usgs.gov","contributorId":1517,"corporation":false,"usgs":true,"family":"Knifong","given":"Donna","email":"dknifong@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":344452,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dileanis, Peter D. dileanis@usgs.gov","contributorId":71541,"corporation":false,"usgs":true,"family":"Dileanis","given":"Peter","email":"dileanis@usgs.gov","middleInitial":"D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":344455,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Orlando, James L. 0000-0002-0099-7221","orcid":"https://orcid.org/0000-0002-0099-7221","contributorId":95954,"corporation":false,"usgs":true,"family":"Orlando","given":"James L.","affiliations":[],"preferred":false,"id":344456,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":9001429,"text":"fs20113031 - 2011 - Early results from the Northern Gulf of Mexico Ecosystem Change and Hazard Susceptibility Project","interactions":[],"lastModifiedDate":"2012-02-10T00:11:57","indexId":"fs20113031","displayToPublicDate":"2011-03-30T00:00:00","publicationYear":"2011","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":"2011-3031","title":"Early results from the Northern Gulf of Mexico Ecosystem Change and Hazard Susceptibility Project","docAbstract":"The northern Gulf of Mexico coastal region and its diverse ecosystems are threatened by population and development pressure and by the impacts of rising sea level and severe storms such as the series of hurricanes that has impacted the northern Gulf in recent years. In response to the complex management issues facing the region, the U.S. Geological Survey (USGS) organized a multidisciplinary research program to coordinate the activities of USGS and other scientists working in the northern Gulf of Mexico region (fig. 1). The Northern Gulf of Mexico (NGOM) Ecosystem Change and Hazard Susceptibility Project aims to develop a thorough understanding of the dynamic coastal ecosystems on the northern Gulf coast, the impact of human activities on these ecosystems, and the vulnerability of ecosystems and human communities to more frequent and more intense hurricanes in the future. A special issue of Geo-Marine Letters published in December 2009 is devoted to early results of studies completed as part of this project. These studies, which have been conducted at sites throughout the northern Gulf region, from the Chandeleur Islands to Apalachicola Bay, have focused on three themes: (1) The underlying geologic framework that exerts controls over coastal processes (2) The impact of human activities on nearshore water quality (3) Hurricanes and associated effects","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20113031","collaboration":"Coastal and Marine Geology Program","usgsCitation":"Brock, J., Lavoie, D.L., and Poore, R.Z., 2011, Early results from the Northern Gulf of Mexico Ecosystem Change and Hazard Susceptibility Project: U.S. Geological Survey Fact Sheet 2011-3031, 4 p., https://doi.org/10.3133/fs20113031.","productDescription":"4 p.","additionalOnlineFiles":"N","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":116272,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3031.jpg"},{"id":19237,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2011/3031/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.75,27.25 ], [ -92.75,31 ], [ -85,31 ], [ -85,27.25 ], [ -92.75,27.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a54e4b07f02db62c20e","contributors":{"authors":[{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":344464,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lavoie, Dawn L. dlavoie@usgs.gov","contributorId":3006,"corporation":false,"usgs":true,"family":"Lavoie","given":"Dawn","email":"dlavoie@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":344465,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poore, Richard Z. rpoore@usgs.gov","contributorId":345,"corporation":false,"usgs":true,"family":"Poore","given":"Richard","email":"rpoore@usgs.gov","middleInitial":"Z.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":344463,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":9001428,"text":"sir20105219 - 2011 - Fluctuations in groundwater levels related to regional and local withdrawals in the fractured-bedrock groundwater system in northern Wake County, North Carolina, March 2008-February 2009","interactions":[],"lastModifiedDate":"2017-01-17T10:49:58","indexId":"sir20105219","displayToPublicDate":"2011-03-30T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5219","title":"Fluctuations in groundwater levels related to regional and local withdrawals in the fractured-bedrock groundwater system in northern Wake County, North Carolina, March 2008-February 2009","docAbstract":"A study of dewatering of the fractured-bedrock aquifer in a localized area of east-central North Carolina was conducted from March 2008 through February 2009 to gain an understanding of why some privately owned wells and monitoring wells were intermittently dry. Although the study itself was localized in nature, the resulting water-resources data and information produced from the study will help enable resource managers to make sound water-supply and water-use decisions in similar crystalline-rock aquifer setting in parts of the Piedmont and Blue Ridge Physiographic Provinces. In June 2005, homeowners in a subdivision of approximately 11 homes on lots approximately 1 to 2 acres in size in an unincorporated area of Wake County, North Carolina, reported extremely low water pressure and temporarily dry wells during a brief period. This area of the State, which is in the Piedmont Physiographic Province, is undergoing rapid growth and development. Similar well conditions were reported again in July 2007. In an effort to evaluate aquifer conditions in the area of intermittent water loss, a study was begun in March 2008 to measure and monitor water levels and groundwater use. During the study period from March 2008 through February 2009, regular dewatering of the fractured-bedrock aquifer was documented with water levels in many wells ranging between 100 and 200 feet below land surface. Prior to this period, water levels from the 1980s through the late 1990s were reported to range from 15 to 50 feet below land surface. The study area includes three community wells and more than 30 private wells within a 2,000-foot radius of the dewatered private wells. Although groundwater levels were low, recovery was observed during periods of heavy rainfall, most likely a result of decreased withdrawals owing to less demand for irrigation purposes. Similar areal patterns of low groundwater levels were delineated during nine water-level measurement periods from March 2008 through February 2009. Correlation of groundwater-level distribution patterns with orientations of geologic structures obtained from surficial mapping, borehole geophysical measurements, and interpretation of fracture traces suggests two dominant trends striking north-south and N. 65 degrees W. A variation in overall response to groundwater withdrawals was noted in the continuous groundwater-level records for the monitored observation wells and dewatered private wells. The largest overall declines during the study period were observed in an observation well in which the water-level declined as much as 247 feet from mid-July through early August 2008, during a period of heavy usage. A private well had a water-level decline of about 94 feet during the same monitoring period. The large declines recorded in the observation well and the private well indicated a substantial temporary loss of storage in the fractured-bedrock aquifer near the wells, thus reducing the amount of water available to shallow wells in the area (those wells with total depths of about 300 feet), and resulting in temporary well failures until such time as the aquifer recovered.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105219","collaboration":"Prepared in cooperation with Wake County Department of Environmental Services","usgsCitation":"Chapman, M.J., Almanaseer, N., McClenney, B., and Hinton, N., 2011, Fluctuations in groundwater levels related to regional and local withdrawals in the fractured-bedrock groundwater system in northern Wake County, North Carolina, March 2008-February 2009: U.S. Geological Survey Scientific Investigations Report 2010-5219, viii, 50 p.; Appendix, https://doi.org/10.3133/sir20105219.","productDescription":"viii, 50 p.; Appendix","numberOfPages":"60","additionalOnlineFiles":"N","temporalStart":"2008-03-01","temporalEnd":"2009-02-28","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":116271,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5219.jpg"},{"id":19236,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2010/5219/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"North Carolina","county":"Wake County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-78.5465,36.0218],[-78.4307,35.9795],[-78.3969,35.9387],[-78.3567,35.9318],[-78.351,35.909],[-78.3385,35.9052],[-78.3347,35.8997],[-78.3302,35.896],[-78.3245,35.896],[-78.3177,35.8963],[-78.3137,35.8976],[-78.3081,35.8935],[-78.2948,35.8797],[-78.292,35.8792],[-78.2893,35.8741],[-78.2859,35.8713],[-78.2831,35.8681],[-78.2782,35.8631],[-78.2749,35.8567],[-78.2756,35.8494],[-78.2707,35.843],[-78.2657,35.8361],[-78.2652,35.8325],[-78.2613,35.8315],[-78.2591,35.826],[-78.2599,35.8183],[-78.3731,35.7523],[-78.4635,35.7072],[-78.4686,35.7087],[-78.4709,35.7078],[-78.4732,35.7046],[-78.4778,35.7011],[-78.5716,35.6255],[-78.708,35.5191],[-78.9196,35.5857],[-78.9956,35.6104],[-78.9796,35.6656],[-78.9439,35.7515],[-78.9421,35.756],[-78.9403,35.7615],[-78.9337,35.7859],[-78.9191,35.8216],[-78.9096,35.8506],[-78.9076,35.8678],[-78.89,35.8676],[-78.8298,35.8689],[-78.8056,35.9281],[-78.7609,35.9176],[-78.751,35.9307],[-78.7372,35.941],[-78.714,35.9729],[-78.7009,36.0068],[-78.6985,36.0131],[-78.7048,36.0091],[-78.7077,36.0087],[-78.7076,36.0132],[-78.7052,36.0223],[-78.7085,36.0287],[-78.7102,36.0287],[-78.713,36.0278],[-78.7164,36.0283],[-78.7232,36.0334],[-78.726,36.0343],[-78.7272,36.0334],[-78.7278,36.0289],[-78.7324,36.0267],[-78.7353,36.0199],[-78.7422,36.0209],[-78.75,36.026],[-78.7551,36.0283],[-78.7545,36.0301],[-78.7511,36.0323],[-78.7499,36.035],[-78.747,36.0395],[-78.7492,36.0427],[-78.7503,36.0468],[-78.7519,36.0491],[-78.7564,36.0532],[-78.7498,36.0718],[-78.7088,36.0768],[-78.6895,36.0752],[-78.5922,36.0378],[-78.5465,36.0218]]]},\"properties\":{\"name\":\"Wake\",\"state\":\"NC\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49d6e4b07f02db5de7ab","contributors":{"authors":[{"text":"Chapman, Melinda J. 0000-0003-4021-0320 mjchap@usgs.gov","orcid":"https://orcid.org/0000-0003-4021-0320","contributorId":1597,"corporation":false,"usgs":true,"family":"Chapman","given":"Melinda","email":"mjchap@usgs.gov","middleInitial":"J.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":344459,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Almanaseer, Naser","contributorId":13732,"corporation":false,"usgs":true,"family":"Almanaseer","given":"Naser","email":"","affiliations":[],"preferred":false,"id":344460,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McClenney, Bryce","contributorId":18095,"corporation":false,"usgs":true,"family":"McClenney","given":"Bryce","email":"","affiliations":[],"preferred":false,"id":344461,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hinton, Natalie","contributorId":33035,"corporation":false,"usgs":true,"family":"Hinton","given":"Natalie","email":"","affiliations":[],"preferred":false,"id":344462,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":9001425,"text":"ofr20111072 - 2011 - Big Spring spinedace and associated fish populations and habitat conditions in Condor Canyon, Meadow Valley Wash, Nevada","interactions":[],"lastModifiedDate":"2012-02-02T00:15:49","indexId":"ofr20111072","displayToPublicDate":"2011-03-30T00:00:00","publicationYear":"2011","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":"2011-1072","title":"Big Spring spinedace and associated fish populations and habitat conditions in Condor Canyon, Meadow Valley Wash, Nevada","docAbstract":"Executive Summary: This project was designed to document habitat conditions and populations of native and non-native fish within the 8-kilometer Condor Canyon section of Meadow Valley Wash, Nevada, with an emphasis on Big Spring spinedace (Lepidomeda mollispinis pratensis). Other native fish present were speckled dace (Rhinichthys osculus) and desert sucker (Catostomus clarki). Big Spring spinedace were known to exist only within this drainage and were known to have been extirpated from a portion of their former habitat located downstream of Condor Canyon. Because of this extirpation and the limited distribution of Big Spring spinedace, the U.S. Fish and Wildlife Service listed this species as threatened under the Endangered Species Act in 1985. Prior to our effort, little was known about Big Spring spinedace populations or life histories and habitat associations. In 2008, personnel from the U.S. Geological Survey's Columbia River Research Laboratory began surveys of Meadow Valley Wash in Condor Canyon. Habitat surveys characterized numerous variables within 13 reaches, thermologgers were deployed at 9 locations to record water temperatures, and fish populations were surveyed at 22 individual sites. Additionally, fish were tagged with Passive Integrated Transponder (PIT) tags, which allowed movement and growth information to be collected on individual fish. The movements of tagged fish were monitored with a combination of recapture events and stationary in-stream antennas, which detected tagged fish. Meadow Valley Wash within Condor Canyon was divided by a 12-meter (m) waterfall known as Delmue Falls. About 6,100 m of stream were surveyed downstream of the falls and about 2,200 m of stream were surveyed upstream of the falls. Although about three-quarters of the surveyed stream length was downstream of Delmue Falls, the highest densities and abundance of native fish were upstream of the falls. Big Spring spinedace and desert sucker populations were highest near the upper end of Condor Canyon, where a tributary known as Kill Wash, and several springs, contribute flow and moderate high and low water temperature. Kill Wash and the area around its confluence with Meadow Valley Wash appeared important for spawning of all three native species. Detections of PIT-tagged fish indicated that there were substantial movements to this area during the spring. Our surveys included about 700 m of Meadow Valley Wash upstream of Kill Wash. A small falls about 2 m high was about 560 m upstream of Kill Wash. This falls is likely a barrier to upstream fish movement at most flows. Populations of all three native species were found upstream of this small falls. Age-0 fish of all three species were present, indicating successful spawning. The maximum upstream extent of native fish within Meadow Valley Wash was not determined. Our surveys included about 700 m of Meadow Valley Wash upstream of Kill Wash. A small falls about 2 m high was about 560 m upstream of Kill Wash. This falls is likely a barrier to upstream fish movement at most flows. Populations of all three native species were found upstream of this small falls. Age-0 fish of all three species were present, indicating successful spawning. The maximum upstream extent of native fish within Meadow Valley Wash was not determined. A population of non-native rainbow trout (Oncorhynchus mykiss) was found within the 2,000 m of stream immediately downstream of Delmue Falls. Non-native crayfish were very common both upstream and downstream of Delmue Falls. We were not able to quantify crayfish populations, but they compose a significant portion of the biomass of aquatic species in Condor Canyon. There were some distinctive habitat features that may have favored native fish upstream of Delmue Falls. Upstream of the falls, water temperatures were moderated by inputs from springs, turbidity was lower, pool habitat was more prevalent, substrate heterogeneity was higher, and there was less fine sediment than","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111072","collaboration":"Prepared in cooperation with the U.S. Bureau of Land Management","usgsCitation":"Jezorek, I.G., Connolly, P., Munz, C.S., and Dixon, C., 2011, Big Spring spinedace and associated fish populations and habitat conditions in Condor Canyon, Meadow Valley Wash, Nevada: U.S. Geological Survey Open-File Report 2011-1072, viii, 77 p.; Appendices, https://doi.org/10.3133/ofr20111072.","productDescription":"viii, 77 p.; Appendices","numberOfPages":"116","additionalOnlineFiles":"N","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":116266,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1072.png"},{"id":19233,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2011/1072/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4ce4b07f02db6260c2","contributors":{"authors":[{"text":"Jezorek, Ian G. 0000-0002-3842-3485 ijezorek@usgs.gov","orcid":"https://orcid.org/0000-0002-3842-3485","contributorId":3572,"corporation":false,"usgs":true,"family":"Jezorek","given":"Ian","email":"ijezorek@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":344448,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connolly, Patrick J. 0000-0001-7365-7618 pconnolly@usgs.gov","orcid":"https://orcid.org/0000-0001-7365-7618","contributorId":2920,"corporation":false,"usgs":true,"family":"Connolly","given":"Patrick J.","email":"pconnolly@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":344447,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Munz, Carrie S. cmunz@usgs.gov","contributorId":3582,"corporation":false,"usgs":true,"family":"Munz","given":"Carrie","email":"cmunz@usgs.gov","middleInitial":"S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":344449,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dixon, Chris","contributorId":37447,"corporation":false,"usgs":true,"family":"Dixon","given":"Chris","email":"","affiliations":[],"preferred":false,"id":344450,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":99172,"text":"sir20105236 - 2011 - Use of instantaneous streamflow measurements to improve regression estimates of index flow for the summer month of lowest streamflow in Michigan","interactions":[],"lastModifiedDate":"2012-03-08T17:16:40","indexId":"sir20105236","displayToPublicDate":"2011-03-30T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5236","title":"Use of instantaneous streamflow measurements to improve regression estimates of index flow for the summer month of lowest streamflow in Michigan","docAbstract":"In Michigan, index flow Q50 is a streamflow characteristic defined as the minimum of median flows for July, August, and September. The state of Michigan uses index flow estimates to help regulate large (greater than 100,000 gallons per day) water withdrawals to prevent adverse effects on characteristic fish populations. At sites where long-term streamgages are located, index flows are computed directly from continuous streamflow records as GageQ50. In an earlier study, a multiple-regression equation was developed to estimate index flows IndxQ50 at ungaged sites. The index equation explains about 94 percent of the variability of index flows at 147 (index) streamgages by use of six explanatory variables describing soil type, aquifer transmissivity, land cover, and precipitation characteristics. This report extends the results of the previous study, by use of Monte Carlo simulations, to evaluate alternative flow estimators, DiscQ50, IntgQ50, SiteQ50, and AugmQ50. The Monte Carlo simulations treated each of the available index streamgages, in turn, as a miscellaneous site where streamflow conditions are described by one or more instantaneous measurements of flow. In the simulations, instantaneous flows were approximated by daily mean flows at the corresponding site. All estimators use information that can be obtained from instantaneous flow measurements and contemporaneous daily mean flow data from nearby long-term streamgages. The efficacy of these estimators was evaluated over a set of measurement intensities in which the number of simulated instantaneous flow measurements ranged from 1 to 100 at a site.\r\n\r\nThe discrete measurement estimator DiscQ50 is based on a simple linear regression developed between information on daily mean flows at five or more streamgages near the miscellaneous site and their corresponding GageQ50 index flows. The regression relation then was used to compute a DiscQ50 estimate at the miscellaneous site by use of the simulated instantaneous flow measurement. This process was repeated to develop a set of DiscQ50 estimates for all simulated instantaneous measurements, a weighted DiscQ50 estimate was formed from this set. Results indicated that the expected value of this weighted estimate was more precise than the IndxQ50 estimate for all measurement intensities evaluated.\r\n\r\nThe integrated index-flow estimator, IntgQ50, was formed by computing a weighted average of the index estimate IndxQ50 and the DiscQ50 estimate. Results indicated that the IntgQ50 estimator was more precise than the DiscQ50 estimator at low measurement intensities of one to two measurements. At greater measurement intensities, the precision of the IntgQ50 estimator converges to the DiscQ50 estimator. Neither the DiscQ50 nor the IntgQ50 estimators provided site-specific estimates. In particular, although expected values of DiscQ50 and IntgQ50 estimates converge with increasing measurement intensity, they do not necessarily converge to the site-specific value of Q50.\r\n\r\nThe site estimator of flow, SiteQ50, was developed to facilitate this convergence at higher measurement intensities. This is accomplished by use of the median of simulated instantaneous flow values for each measurement intensity level. A weighted estimate of the median and information associated with the IntgQ50 estimate was used to form the SiteQ50 estimate. Initial simulations indicate that the SiteQ50 estimator generally has greater precision than the IntgQ50 estimator at measurement intensities greater than 3, however, additional analysis is needed to identify streamflow conditions under which instantaneous measurements will produce estimates that generally converge to the index flows.\r\n\r\nA preliminary augmented index regression equation was developed, which contains the index regression estimate and two additional variables associated with base-flow recession characteristics. When these recession variables were estimated as the medians of recession parameters compute","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105236","collaboration":"Prepared in cooperation with the Michigan Department of Natural Resources and Environment","usgsCitation":"Holtschlag, D.J., 2011, Use of instantaneous streamflow measurements to improve regression estimates of index flow for the summer month of lowest streamflow in Michigan: U.S. Geological Survey Scientific Investigations Report 2010-5236, x, 48 p.; Appendices, https://doi.org/10.3133/sir20105236.","productDescription":"x, 48 p.; Appendices","additionalOnlineFiles":"N","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":116275,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5236.gif"},{"id":14583,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5236/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90,40 ], [ -90,48 ], [ -82,48 ], [ -82,40 ], [ -90,40 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adae4b07f02db6858f3","contributors":{"authors":[{"text":"Holtschlag, David J. 0000-0001-5185-4928 dholtschlag@usgs.gov","orcid":"https://orcid.org/0000-0001-5185-4928","contributorId":5447,"corporation":false,"usgs":true,"family":"Holtschlag","given":"David","email":"dholtschlag@usgs.gov","middleInitial":"J.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307661,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":99132,"text":"sir20115033 - 2011 - Simulated effects of allocated and projected 2025 withdrawals from the Potomac-Raritan-Magothy aquifer system, Gloucester and Northeastern Salem Counties, New Jersey","interactions":[],"lastModifiedDate":"2012-03-08T17:16:40","indexId":"sir20115033","displayToPublicDate":"2011-03-29T00:00:00","publicationYear":"2011","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":"2011-5033","title":"Simulated effects of allocated and projected 2025 withdrawals from the Potomac-Raritan-Magothy aquifer system, Gloucester and Northeastern Salem Counties, New Jersey","docAbstract":"Withdrawals from the Potomac-Raritan-Magothy aquifer system in New Jersey, which includes the Upper, Middle, and Lower Potomac-Raritan-Magothy aquifers, are the principal source of groundwater supply in northern Gloucester and northeastern Salem Counties in the New Jersey Coastal Plain. Water levels in these aquifers have declined in response to pumping. With increased population growth and development expected in Gloucester County and parts of Salem County over the next 2 decades (2005-2025), withdrawals from these aquifers also are expected to increase.\r\n\r\nA steady-state groundwater-flow model, developed to simulate flow in the Potomac-Raritan-Magothy aquifer system in northern Gloucester and northeastern Salem Counties, was calibrated to withdrawal conditions in 1998, when groundwater withdrawals from the Potomac-Raritan-Magothy aquifer system in the model area were more than 10,100 Mgal/yr (million gallons per year). Withdrawals from water-purveyor wells accounted for about 63 percent of these withdrawals, and withdrawals from industrial self-supply wells accounted for about 32 percent. Withdrawals from agricultural-irrigation, commercial self-supply, and domestic self-supply wells accounted for the remaining 5 percent. Results of the 2000 baseline groundwater-flow simulation, incorporating average annual 1999-2001 groundwater withdrawals, indicate that the average simulated water levels in the Upper, Middle, and Lower Potomac-Raritan-Magothy aquifers are 31, 27, and 30 feet below the National Geodetic Vertical Datum of 1929 (NGVD 29), respectively, and the lowest simulated water levels are 77, 65, and 59 feet below NGVD 29, respectively.\r\n\r\nIn the full-allocation scenario, the maximum State-permitted (allocated) groundwater withdrawals totaled 16,567 Mgal/yr, an increase of 72 percent from the 2000 baseline simulation. Results of the full-allocation simulation indicate that the average simulated water levels in the Upper, Middle, and Lower Potomac-Raritan-Magothy aquifers are 49, 43, and 48 feet below NGVD 29, respectively, which are 18, 16, and 18 feet lower, respectively, than in the 2000 baseline simulation. The lowest simulated water levels are 156, 95, and 69 feet below NGVD 29, respectively, which are 79, 30, and 10 feet lower, respectively, than in the 2000 baseline simulation. Simulated net flow from the Potomac-Raritan-Magothy aquifer system to streams is 8,441 Mgal/yr in the 2000 baseline simulation but is 6,018 Mgal/yr in the full-allocation scenario, a decrease of 29 percent from the 2000 baseline simulation. Simulated net flow in the 2000 baseline simulation is 1,183 Mgal/yr from the aquifer system to the Delaware River but in the full-allocation scenario is 1,816 Mgal/yr from the river to the aquifer system.\r\n\r\nFour other simulations were conducted that incorporated full-allocation conditions at water-purveyor wells in Critical Area 2 but increased or decreased withdrawals at selected water-purveyor wells outside Critical Area 2 and agricultural-irrigation and industrial-self-supply wells in the study area. The results of the four simulations also indicate net flow from the Delaware River to the Potomac-Raritan-Magothy aquifer system.\r\n\r\nA growth scenario was developed to simulate future withdrawals in 2025 estimated from population projections for municipalities in the Salem-Gloucester study area. Simulated withdrawals for this scenario totaled 10,261 Mgal/yr, an increase of 6 percent from the 2000 baseline simulation. This total includes about 25 Mgal/yr withdrawn from the Englishtown aquifer system for domestic self-supply. This scenario incorporated full-allocation withdrawals at water-purveyor wells in Critical Area 2, and increased withdrawals at water-purveyor wells outside Critical Area 2. Results of this simulation indicate that the average simulated water levels in the Upper, Middle, and Lower Potomac-Raritan-Magothy aquifers are 32, 29, and 32 feet below NGVD 29, respectively, which are 1, 2, and ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20115033","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"Charles, E.G., Nawyn, J.P., Voronin, L.M., and Gordon, A.D., 2011, Simulated effects of allocated and projected 2025 withdrawals from the Potomac-Raritan-Magothy aquifer system, Gloucester and Northeastern Salem Counties, New Jersey: U.S. Geological Survey Scientific Investigations Report 2011-5033, xii, 145 p., https://doi.org/10.3133/sir20115033.","productDescription":"xii, 145 p.","additionalOnlineFiles":"N","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":116290,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5033.png"},{"id":14581,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5033/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76,39 ], [ -76,41 ], [ -73,41 ], [ -73,39 ], [ -76,39 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afce4b07f02db6966e8","contributors":{"authors":[{"text":"Charles, Emmanuel G. 0000-0002-3338-4958 echarles@usgs.gov","orcid":"https://orcid.org/0000-0002-3338-4958","contributorId":4280,"corporation":false,"usgs":true,"family":"Charles","given":"Emmanuel","email":"echarles@usgs.gov","middleInitial":"G.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307658,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nawyn, John P. 0000-0002-9918-8394 jnawyn@usgs.gov","orcid":"https://orcid.org/0000-0002-9918-8394","contributorId":4308,"corporation":false,"usgs":true,"family":"Nawyn","given":"John","email":"jnawyn@usgs.gov","middleInitial":"P.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307659,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Voronin, Lois M. 0000-0002-1064-1675 lvoronin@usgs.gov","orcid":"https://orcid.org/0000-0002-1064-1675","contributorId":1475,"corporation":false,"usgs":true,"family":"Voronin","given":"Lois","email":"lvoronin@usgs.gov","middleInitial":"M.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307657,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gordon, Alison D. 0000-0002-9502-8633 agordon@usgs.gov","orcid":"https://orcid.org/0000-0002-9502-8633","contributorId":890,"corporation":false,"usgs":true,"family":"Gordon","given":"Alison","email":"agordon@usgs.gov","middleInitial":"D.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307656,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":99133,"text":"ds573 - 2011 - Tillage practices in the conterminous United States, 1989-2004: Datasets aggregated by watershed","interactions":[],"lastModifiedDate":"2022-07-19T19:09:50.82379","indexId":"ds573","displayToPublicDate":"2011-03-29T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"573","title":"Tillage practices in the conterminous United States, 1989-2004: Datasets aggregated by watershed","docAbstract":"This report documents the methods used to aggregate county-level tillage practices to the 8-digit hydrologic unit (HU) watershed. The original county-level data were collected by the Conservation Technology Information Center (CTIC). The CTIC collects tillage data by conducting surveys about tillage systems for all counties in the United States. Tillage systems include three types of conservation tillage (no-till, ridge-till, and mulch-till), reduced tillage, and intensive tillage. Total planted acreage for each tillage practice for each crop grown is reported to the CTIC. The dataset includes total planted acreage by tillage type for selected crops (corn, cotton, grain sorghum, soybeans, fallow, forage, newly established permanent pasture, spring and fall seeded small grains, and 'other' crops) for 1989-2004. Two tabular datasets, based on the 1992 enhanced and 2001 National Land Cover Data (NLCD), are provided as part of this report and include the land-cover area-weighted interpolation and aggregation of acreage for each tillage practice in each 8-digit HU watershed in the conterminous United States for each crop. Watershed aggregations were done by overlying the 8-digit HU polygons with a raster of county boundaries and a raster of either the enhanced 1992 or the 2001 NLCD for cultivated land to derive a county/land-cover area weighting factor. The weighting factor then was applied to the county-level tillage data for the counties within each 8-digit HU and summed to yield the total acreage of each tillage type within each 8-digit HU watershed.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds573","collaboration":"National Water-Quality Assessment ProgramPrepared in cooperation with the Conservation Technology Information Center","usgsCitation":"Baker, N.T., 2011, Tillage practices in the conterminous United States, 1989-2004: Datasets aggregated by watershed: U.S. Geological Survey Data Series 573, Report: iv, 12 p.; 3 Appendices, https://doi.org/10.3133/ds573.","productDescription":"Report: iv, 12 p.; 3 Appendices","additionalOnlineFiles":"Y","temporalStart":"1989-01-01","temporalEnd":"2004-12-31","costCenters":[{"id":346,"text":"Indiana Water Science 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Program","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307660,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":99127,"text":"sir20105260 - 2011 - Regional skew for California, and flood frequency for selected sites in the Sacramento-San Joaquin River Basin, based on data through water year 2006","interactions":[],"lastModifiedDate":"2012-03-08T17:16:40","indexId":"sir20105260","displayToPublicDate":"2011-03-25T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5260","title":"Regional skew for California, and flood frequency for selected sites in the Sacramento-San Joaquin River Basin, based on data through water year 2006","docAbstract":"Improved flood-frequency information is important throughout California in general and in the Sacramento-San Joaquin River Basin in particular, because of an extensive network of flood-control levees and the risk of catastrophic flooding. A key first step in updating flood-frequency information is determining regional skew. A Bayesian generalized least squares (GLS) regression method was used to derive a regional-skew model based on annual peak-discharge data for 158 long-term (30 or more years of record) stations throughout most of California. The desert areas in southeastern California had too few long-term stations to reliably determine regional skew for that hydrologically distinct region; therefore, the desert areas were excluded from the regional skew analysis for California. Of the 158 long-term stations used to determine regional skew, 145 have minimally regulated annual-peak discharges, and 13 stations are dam sites for which unregulated peak discharges were estimated from unregulated daily maximum discharge data furnished by the U.S. Army Corp of Engineers. Station skew was determined by using an expected moments algorithm (EMA) program for fitting the Pearson Type 3 flood-frequency distribution to the logarithms of annual peak-discharge data.\r\n\r\nThe Bayesian GLS regression method previously developed was modified because of the large cross correlations among concurrent recorded peak discharges in California and the use of censored data and historical flood information with the new expected moments algorithm. In particular, to properly account for these cross-correlation problems and develop a suitable regression model and regression diagnostics, a combination of Bayesian weighted least squares and generalized least squares regression was adopted. This new methodology identified a nonlinear function relating regional skew to mean basin elevation. The regional skew values ranged from -0.62 for a mean basin elevation of zero to 0.61 for a mean basin elevation of 11,000 feet. This relation between skew and elevation reflects the interaction of snow with rain, which increases with increased elevation. The equivalent record length for the new regional skew ranges from 52 to 65 years of record, depending upon mean basin elevation. The old regional skew map in Bulletin 17B, published by the Hydrology Subcommittee of the Interagency Advisory Committee on Water Data (1982), reported an equivalent record length of only 17 years.\r\n\r\nThe newly developed regional skew relation for California was used to update flood frequency for the 158 sites used in the regional skew analysis as well as 206 selected sites in the Sacramento-San Joaquin River Basin. For these sites, annual-peak discharges having recurrence intervals of 2, 5, 10, 25, 50, 100, 200, and 500 years were determined on the basis of data through water year 2006. The expected moments algorithm was used for determining the magnitude and frequency of floods at gaged sites by using regional skew values and using the basic approach outlined in Bulletin \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105260","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency, the U.S. Army Corps of Engineers, and the U.S. Forest Service\r\n","usgsCitation":"Parrett, C., Veilleux, A., Stedinger, J., Barth, N., Knifong, D.L., and Ferris, J., 2011, Regional skew for California, and flood frequency for selected sites in the Sacramento-San Joaquin River Basin, based on data through water year 2006: U.S. Geological Survey Scientific Investigations Report 2010-5260, vi, 40 p.; Appendices, https://doi.org/10.3133/sir20105260.","productDescription":"vi, 40 p.; Appendices","temporalStart":"2005-10-01","temporalEnd":"2006-09-30","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":116933,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5260.jpg"},{"id":14576,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5260/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.5,38 ], [ -124.5,42 ], [ -120,42 ], [ -120,38 ], [ -124.5,38 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a60e4b07f02db634e37","contributors":{"authors":[{"text":"Parrett, Charles","contributorId":9635,"corporation":false,"usgs":true,"family":"Parrett","given":"Charles","email":"","affiliations":[],"preferred":false,"id":307637,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Veilleux, Andrea","contributorId":65212,"corporation":false,"usgs":true,"family":"Veilleux","given":"Andrea","affiliations":[],"preferred":false,"id":307640,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stedinger, J.R.","contributorId":90733,"corporation":false,"usgs":true,"family":"Stedinger","given":"J.R.","affiliations":[],"preferred":false,"id":307641,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barth, N.A.","contributorId":31512,"corporation":false,"usgs":true,"family":"Barth","given":"N.A.","email":"","affiliations":[],"preferred":false,"id":307639,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Knifong, Donna L. dknifong@usgs.gov","contributorId":1517,"corporation":false,"usgs":true,"family":"Knifong","given":"Donna","email":"dknifong@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":307636,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ferris, J.C.","contributorId":13731,"corporation":false,"usgs":true,"family":"Ferris","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":307638,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":99124,"text":"ds572 - 2011 - Sediment samples and channel-geometry data, lower Platte River watershed, Nebraska, 2010","interactions":[],"lastModifiedDate":"2018-01-08T12:23:35","indexId":"ds572","displayToPublicDate":"2011-03-25T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"572","title":"Sediment samples and channel-geometry data, lower Platte River watershed, Nebraska, 2010","docAbstract":"The relation between channel width and stream physical habitat in the lower Platte River in eastern Nebraska was studied as part of the lower Platte River Cumulative Impact Study. The purpose of this component was to document the grain-size distribution of sediment deposited as specific types of physical features, such as sandbars, banks, and stream beds within different hydraulic habitats, within the lower Platte River system. In so doing, the major sources of sediment for sandbar creation downstream are described. Sediment samples were collected from 11 reaches of the lower Platte River from Silver Creek, Nebraska, to the mouth of the Platte River, and from 4 tributary streams. Two bed-material samples, 2 bank-material samples, and 3 sandbar-material samples were collected at main-stem sampling sites, and 1 sample each of bed material and bank material was collected at each tributary sampling site. Aspects of channel geometry, such as channel width, sandbar height and width, and bank height, were measured at each sampled site. This report presents the channel-geometry results and documents the sample-collection methods.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds572","collaboration":"pared in cooperation with the United States Army Corps of Engineers\r\n","usgsCitation":"Schaepe, N.J., and Alexander, J.S., 2011, Sediment samples and channel-geometry data, lower Platte River watershed, Nebraska, 2010: U.S. Geological Survey Data Series 572, iv, 20 p.; Appendix, https://doi.org/10.3133/ds572.","productDescription":"iv, 20 p.; Appendix","additionalOnlineFiles":"N","temporalStart":"2010-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":116951,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_572.jpg"},{"id":14573,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/572/","linkFileType":{"id":5,"text":"html"}}],"scale":"1","projection":"Universal Transverse Mercator","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98,40.666666666666664 ], [ -98,42 ], [ -95.66666666666667,42 ], [ -95.66666666666667,40.666666666666664 ], [ -98,40.666666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abde4b07f02db673e9d","contributors":{"authors":[{"text":"Schaepe, Nathaniel J. 0000-0003-1776-7411 nschaepe@usgs.gov","orcid":"https://orcid.org/0000-0003-1776-7411","contributorId":2377,"corporation":false,"usgs":true,"family":"Schaepe","given":"Nathaniel","email":"nschaepe@usgs.gov","middleInitial":"J.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307625,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alexander, Jason S. 0000-0002-1602-482X jalexand@usgs.gov","orcid":"https://orcid.org/0000-0002-1602-482X","contributorId":2802,"corporation":false,"usgs":true,"family":"Alexander","given":"Jason","email":"jalexand@usgs.gov","middleInitial":"S.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":false,"id":307626,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":99126,"text":"ofr20111062 - 2011 - cloudPEST - A python module for cloud-computing deployment of PEST, a program for parameter estimation","interactions":[],"lastModifiedDate":"2012-03-08T17:16:40","indexId":"ofr20111062","displayToPublicDate":"2011-03-25T00:00:00","publicationYear":"2011","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":"2011-1062","title":"cloudPEST - A python module for cloud-computing deployment of PEST, a program for parameter estimation","docAbstract":"This report documents cloudPEST-a Python module with functions to facilitate deployment of the model-independent parameter estimation code PEST on a cloud-computing environment. cloudPEST makes use of low-level, freely available command-line tools that interface with the Amazon Elastic Compute Cloud (EC2(TradeMark)) that are unlikely to change dramatically. This report describes the preliminary setup for both Python and EC2 tools and subsequently describes the functions themselves. The code and guidelines have been tested primarily on the Windows(Registered) operating system but are extensible to Linux(Registered). \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20111062","usgsCitation":"Fienen, M., Kunicki, T.C., and Kester, D.E., 2011, cloudPEST - A python module for cloud-computing deployment of PEST, a program for parameter estimation: U.S. Geological Survey Open-File Report 2011-1062, iv, 22 p., https://doi.org/10.3133/ofr20111062.","productDescription":"iv, 22 p.","additionalOnlineFiles":"Y","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":116932,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1062.gif"},{"id":14575,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1062/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e478be4b07f02db487fbf","contributors":{"authors":[{"text":"Fienen, Michael N. 0000-0002-7756-4651 mnfienen@usgs.gov","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":893,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","email":"mnfienen@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":307633,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kunicki, Thomas C. tkunicki@usgs.gov","contributorId":4609,"corporation":false,"usgs":true,"family":"Kunicki","given":"Thomas","email":"tkunicki@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":307634,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kester, Daniel E. dekester@usgs.gov","contributorId":4621,"corporation":false,"usgs":true,"family":"Kester","given":"Daniel","email":"dekester@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":307635,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":99121,"text":"sir20115014 - 2011 - Distribution of trace metals at Hopewell Furnace National Historic Site, Berks and Chester Counties, Pennsylvania","interactions":[],"lastModifiedDate":"2023-12-15T22:15:52.293482","indexId":"sir20115014","displayToPublicDate":"2011-03-25T00:00:00","publicationYear":"2011","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":"2011-5014","title":"Distribution of trace metals at Hopewell Furnace National Historic Site, Berks and Chester Counties, Pennsylvania","docAbstract":"Hopewell Furnace, located approximately 50 miles northwest of Philadelphia, was a cold-blast, charcoal iron furnace that operated for 113 years (1771 to 1883). The purpose of this study by the U.S. Geological Survey, in cooperation with the National Park Service, was to determine the distribution of trace metals released to the environment from an historical iron smelter at Hopewell Furnace National Historic Site (NHS). Hopewell Furnace used iron ore from local mines that contained abundant magnetite and accessory sulfide minerals enriched in arsenic, cobalt, copper, and other metals. Ore, slag, cast iron furnace products, soil, groundwater, stream base flow, streambed sediment, and benthic macroinvertebrates were sampled for this study. Soil samples analyzed in the laboratory had concentrations of trace metals low enough to meet Pennsylvania Department of Environmental Protection standards for non-residential use. Groundwater samples from the supply well met U.S. Environmental Protection Agency drinking-water regulations. Concentrations of metals in surface-water base flow at the five stream sampling sites were below continuous concentration criteria for protection of aquatic organisms. Concentrations of metals in sediment at the five stream sites were below probable effects level guidelines for protection of aquatic organisms except for copper at site HF-3.\r\n\r\nArsenic, copper, lead, zinc, and possibly cobalt were incorporated into the cast iron produced by Hopewell Furnace. Manganese was concentrated in slag along with iron, nickel, and zinc. The soil near the furnace has elevated concentrations of chromium, copper, iron, lead, and zinc compared to background soil concentrations. Concentrations of toxic elements were not present at concentrations of concern in water, soil, or stream sediments, despite being elevated in ore, slag, and cast iron furnace products.\r\n\r\nThe base-flow surface-water samples indicated good overall quality. The five sampled sites generally had low concentrations of nutrients and major ions but had elevated concentrations of iron, manganese, and strontium when compared to sites sampled in adjacent watersheds. The background site on Baptism Creek generally had the lowest concentrations and yields of constituents. Low concentrations of nutrients and major ions at all five sites indicate that measured concentrations can be attributed to general land use and geology and not to point sources.\r\n\r\nStreambed-sediment sampling results indicated higher concentrations of all metals except nickel at sites on French Creek compared to the background site on Baptism Creek. Concentrations of aluminum, cadmium, and nickel were highest in sediment from the sampling site upstream from Hopewell Furnace. The highest concentrations of arsenic, boron, cobalt, copper, iron, lead, manganese, mercury, and zinc were detected at the site just below Hopewell Furnace, which indicates that the source of these metals may be in Hopewell Furnace NHS.\r\n\r\nThe invertebrate community at the background site on Baptism Creek was dominated by pollution sensitive taxa indicating a healthy, diverse benthic-macroinvertebrate community. Benthic-macroinvertebrate communities at sampling sites on French Creek indicated disturbed communities when compared to the background site on Baptism Creek and that the overall stream quality immediately above and below Hopewell Furnace NHS is degraded. The benthic-macroinvertebrate communities were dominated by pollution-tolerant taxa, and taxa were less diverse than at the background site.\r\n\r\nHabitat conditions at the upstream site on French Creek were good but were degraded at downstream sites on French Creek. The major habitat issues at these sites were related to a lack of stable substrate, erosion, and deposition. Water quality and streambed-sediment quality do not indicate that the degraded benthic-macroinvertebrate communities are the result of poor water quality. Habitat conditions (erosion and sedimentation) and physical alterations (water temperature) from the outfall of Hopewell Lake are the most likely causes of the impaired communities.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20115014","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Sloto, R.A., and Reif, A.G., 2011, Distribution of trace metals at Hopewell Furnace National Historic Site, Berks and Chester Counties, Pennsylvania: U.S. Geological Survey Scientific Investigations Report 2011-5014, viii, 38 p., https://doi.org/10.3133/sir20115014.","productDescription":"viii, 38 p.","additionalOnlineFiles":"N","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":423655,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_95082.htm","linkFileType":{"id":5,"text":"html"}},{"id":14570,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5014/","linkFileType":{"id":5,"text":"html"}},{"id":116910,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5014.png"}],"country":"United States","state":"Pennsylvania","county":"Berks County, Chester County","otherGeospatial":"Hopewell Furnace National Historic Site","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.78566334714907,\n 40.22149103148911\n ],\n [\n -75.78566334714907,\n 40.1904054071604\n ],\n [\n -75.74942825882859,\n 40.1904054071604\n ],\n [\n -75.74942825882859,\n 40.22149103148911\n ],\n [\n -75.78566334714907,\n 40.22149103148911\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a6de4b07f02db63f2d7","contributors":{"authors":[{"text":"Sloto, Ronald A. rasloto@usgs.gov","contributorId":424,"corporation":false,"usgs":true,"family":"Sloto","given":"Ronald","email":"rasloto@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307619,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reif, Andrew G. 0000-0002-5054-5207 agreif@usgs.gov","orcid":"https://orcid.org/0000-0002-5054-5207","contributorId":2632,"corporation":false,"usgs":true,"family":"Reif","given":"Andrew","email":"agreif@usgs.gov","middleInitial":"G.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307620,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":99120,"text":"ds575 - 2011 - Endocrine active chemicals, pharmaceuticals, and other chemicals of concern in surface water, wastewater-treatment plant effluent, and bed sediment, and biological characteristics in selected streams, Minnesota: Design, methods, and data, 2009","interactions":[],"lastModifiedDate":"2024-01-16T20:53:40.339098","indexId":"ds575","displayToPublicDate":"2011-03-25T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"575","title":"Endocrine active chemicals, pharmaceuticals, and other chemicals of concern in surface water, wastewater-treatment plant effluent, and bed sediment, and biological characteristics in selected streams, Minnesota: Design, methods, and data, 2009","docAbstract":"This report presents the study design, environmental data, and quality-assurance data for an integrated chemical and biological study of selected streams or lakes that receive wastewater-treatment plant effluent in Minnesota. This study was a cooperative effort of the U.S. Geological Survey, the Minnesota Pollution Control Agency, St. Cloud State University, the University of St. Thomas, and the University of Colorado. The objective of the study was to identify distribution patterns of endocrine active chemicals, pharmaceuticals, and other organic and inorganic chemicals of concern indicative of wastewater effluent, and to identify biological characteristics of estrogenicity and fish responses in the same streams.\r\n\r\nThe U.S. Geological Survey collected and analyzed water, bed-sediment, and quality-assurance samples, and measured or recorded streamflow once at each sampling location from September through November 2009. Sampling locations included surface water and wastewater-treatment plant effluent. Twenty-five wastewater-treatment plants were selected to include continuous flow and periodic release facilities with differing processing steps (activated sludge or trickling filters) and plant design flows ranging from 0.002 to 10.9 cubic meters per second (0.04 to 251 million gallons per day) throughout Minnesota in varying land-use settings. Water samples were collected from the treated effluent of the 25 wastewater-treatment plants and at one point upstream from and one point downstream from wastewater-treatment plant effluent discharges. Bed-sediment samples also were collected at each of the stream or lake locations. Water samples were analyzed for major ions, nutrients, trace elements, pharmaceuticals, phytoestrogens and pharmaceuticals, alkylphenols and other neutral organic chemicals, carboxylic acids, and steroidal hormones. A subset (25 samples) of the bed-sediment samples were analyzed for carbon, wastewater-indicator chemicals, and steroidal hormones; the remaining samples were archived.\r\n\r\nBiological characteristics were determined by using an in-vitro bioassay to determine total estrogenicity in water samples and a caged fish study to determine characteristics of fish from experiments that exposed fish to wastewater effluent in 2009. St. Cloud State University deployed and processed caged fathead minnows at 13 stream sites during September 2009 for the caged fish study. Measured fish data included length, weight, body condition factor, and vitellogenin concentrations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds575","collaboration":"Prepared in cooperation with the Minnesota Pollution Control Agency, St. Cloud State University, University of St. Thomas, and the University of Colorado","usgsCitation":"Lee, K., Langer, S.K., Barber, L.B., Writer, J.H., Ferrey, M.L., Schoenfuss, H.L., Furlong, E.T., Foreman, W., Gray, J.L., ReVello, R., Martinovic, D., Woodruff, O.R., Keefe, S.H., Brown, G.K., Taylor, H.E., Ferrer, I., and Thurman, E.M., 2011, Endocrine active chemicals, pharmaceuticals, and other chemicals of concern in surface water, wastewater-treatment plant effluent, and bed sediment, and biological characteristics in selected streams, Minnesota: Design, methods, and data, 2009: U.S. Geological Survey Data Series 575, x, 49 p., https://doi.org/10.3133/ds575.","productDescription":"x, 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Baseline data required to substantiate impact assessment in this sub-arctic region is sparse to non-existent. The U.S. Geological Survey, in cooperation with the National Park Service, conducted a water-quality assessment of several large lakes in and around the Park from June 2006 to August 2008. Discrete water-quality samples, lake profiles of pH, specific conductivity, dissolved-oxygen concentration, water temperature, turbidity, and continuous-record temperature profile data were collected from Wonder Lake, Chilchukabena Lake, and Lake Minchumina. In addition, zooplankton, snow chemistry data, fecal coliform, and inflow/outflow water-quality samples also were collected from Wonder Lake.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101322","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Long, D., and Arp, C., 2011, Limnological and water-quality data from Wonder Lake, Chilchukabena Lake, and Lake Minchumina, Denali National Park and Preserve and surrounding area, Alaska, June 2006-August 2008: U.S. Geological Survey Open-File Report 2010-1322, vi, 30 p., https://doi.org/10.3133/ofr20101322.","productDescription":"vi, 30 p.","numberOfPages":"30","additionalOnlineFiles":"N","temporalStart":"2006-06-01","temporalEnd":"2008-08-31","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":116294,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1322.jpg"},{"id":19232,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2010/1322/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -153,62 ], [ -153,64.08333333333333 ], [ -148.5,64.08333333333333 ], [ -148.5,62 ], [ -153,62 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b16e4b07f02db6a52b7","contributors":{"authors":[{"text":"Long, D.A.","contributorId":89270,"corporation":false,"usgs":true,"family":"Long","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":344446,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arp, C.D.","contributorId":54715,"corporation":false,"usgs":true,"family":"Arp","given":"C.D.","email":"","affiliations":[],"preferred":false,"id":344445,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":9001344,"text":"ofr20111024 - 2011 - Well installation, single-well testing, and particle-size analysis for selected sites in and near the Lost Creek Designated Ground Water Basin, north-central Colorado, 2003-2004","interactions":[],"lastModifiedDate":"2012-02-10T00:11:57","indexId":"ofr20111024","displayToPublicDate":"2011-03-23T00:00:00","publicationYear":"2011","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":"2011-1024","title":"Well installation, single-well testing, and particle-size analysis for selected sites in and near the Lost Creek Designated Ground Water Basin, north-central Colorado, 2003-2004","docAbstract":"This report describes results from a groundwater data-collection program completed in 2003-2004 by the U.S. Geological Survey in support of the South Platte Decision Support System and in cooperation with the Colorado Water Conservation Board. Two monitoring wells were installed adjacent to existing water-table monitoring wells. These wells were installed as well pairs with existing wells to characterize the hydraulic properties of the alluvial aquifer and shallow Denver Formation sandstone aquifer in and near the Lost Creek Designated Ground Water Basin. Single-well tests were performed in the 2 newly installed wells and 12 selected existing monitoring wells. Sediment particle size was analyzed for samples collected from the screened interval depths of each of the 14 wells. Hydraulic-conductivity and transmissivity values were calculated after the completion of single-well tests on each of the selected wells. Recovering water-level data from the single-well tests were analyzed using the Bouwer and Rice method because test data most closely resembled those obtained from traditional slug tests. Results from the single-well test analyses for the alluvial aquifer indicate a median hydraulic-conductivity value of 3.8 x 10-5 feet per second and geometric mean hydraulic-conductivity value of 3.4 x 10-5 feet per second. Median and geometric mean transmissivity values in the alluvial aquifer were 8.6 x 10-4 feet squared per second and 4.9 x 10-4 feet squared per second, respectively. Single-well test results for the shallow Denver Formation sandstone aquifer indicate a median hydraulic-conductivity value of 5.4 x 10-6 feet per second and geometric mean value of 4.9 x 10-6 feet per second. Median and geometric mean transmissivity values for the shallow Denver Formation sandstone aquifer were 4.0 x 10-5 feet squared per second and 5.9 x 10-5 feet squared per second, respectively. Hydraulic-conductivity values for the alluvial aquifer in and near the Lost Creek Designated Ground Water Basin generally were greater than hydraulic-conductivity values for the Denver Formation sandstone aquifer and less than hydraulic-conductivity values for the alluvial aquifer along the main stem of the South Platte River Basin reported by previous studies. Particle sizes were analyzed for a total of 14 samples of material representative of the screened interval in each of the 14 wells tested in this study. Of the 14 samples collected, 8 samples represent the alluvial aquifer and 6 samples represent the Denver Formation sandstone aquifer in and near the Lost Creek Designated Ground Water Basin. The sampled alluvial aquifer material generally contained a greater percentage of large particles (larger than 0.5 mm) than the sampled sandstone aquifer material. Alternatively, the sampled sandstone aquifer material generally contained a greater percentage of fine particles (smaller than 0.5 mm) than the sampled alluvial aquifer material consistent with the finding that the alluvial aquifer is more conductive than the sandstone aquifer in the vicinity of the Lost Creek Designated Ground Water Basin.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111024","collaboration":"Prepared in cooperation with the Colorado Water Conservation Board","usgsCitation":"Beck, J., Paschke, S.S., and Arnold, L., 2011, Well installation, single-well testing, and particle-size analysis for selected sites in and near the Lost Creek Designated Ground Water Basin, north-central Colorado, 2003-2004: U.S. Geological Survey Open-File Report 2011-1024, iv, 20 p.; Appendices; Appendix 1; Appendix 2; Appendix 3, https://doi.org/10.3133/ofr20111024.","productDescription":"iv, 20 p.; Appendices; Appendix 1; Appendix 2; Appendix 3","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2011-01-01","temporalEnd":"2004-12-31","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":116842,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1024.png"},{"id":14564,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1024/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104.75,39.5 ], [ -104.75,40.5 ], [ -103.83333333333333,40.5 ], [ -103.83333333333333,39.5 ], [ -104.75,39.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e2e4b07f02db5e4ad4","contributors":{"authors":[{"text":"Beck, Jennifer A.","contributorId":53922,"corporation":false,"usgs":true,"family":"Beck","given":"Jennifer A.","affiliations":[],"preferred":false,"id":344434,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paschke, Suzanne S.","contributorId":14072,"corporation":false,"usgs":true,"family":"Paschke","given":"Suzanne","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":344433,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arnold, L. Rick","contributorId":101613,"corporation":false,"usgs":true,"family":"Arnold","given":"L. Rick","affiliations":[],"preferred":false,"id":344435,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70236115,"text":"70236115 - 2011 - Investigating the complex interface where bedrock transforms to regolith","interactions":[],"lastModifiedDate":"2022-08-29T16:11:53.000246","indexId":"70236115","displayToPublicDate":"2011-03-22T11:06:16","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Investigating the complex interface where bedrock transforms to regolith","docAbstract":"The interface where bedrock transforms to regolith is not planar but rather has a roughness that varies with the scale of observation. The complexity of this surface is manifested in both element-depth and fragment size-depth distributions and may sometimes be related to the longitudinal profiles of watershed streams. The fractal nature of the bedrock-regolith interface means that the interface has a “thickness” which is >20 m in two ridgetop examples from Pennsylvania and Puerto Rico. Such weathering thicknesses, modeled as a function of one-dimensional fluid flow, are affected by the balance between rates of weathering and erosion. One-dimensional models are consistent with weathering advance rates that vary with equilibrium solubility and porefluid velocities (and not reaction kinetics). However, fluid flow is not strictly downward and one-dimensional. Permeability of regolith changes as particle size and bulk density changes with depth. Thus, both downward and lateral flow occurs especially at reaction fronts where reactions change permeability. The rate of weathering advance is, therefore, affected by the 3-dimensional distribution of reaction zones that affect permeability across the watershed. Quantitative models of such phenomena over a range of spatial and temporal scales are needed.
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