Electrical resistivity tomography (ERT) is examined as a method to provide spatially continuous information about aquifer properties through imaging of tracer flow and transport in an unconfined aquifer. Field data were collected at the Massachusetts Military Reservation, Cape Cod, Massachusetts, during the summer of 2002. High resolution images in both space and time of the movement of an electrically conductive sodium-chloride tracer in three dimensions (3-D) help delineate aquifer heterogeneity. Sixty 3-D data sets were collected between four corner-point wells for 20 days following the 9-hour injection. Concentrations were measured at a 15-point multilevel sampler centrally located within the ERT array, at the production well, and at two wells external to the central array.
The tomograms indicate movement of the saline tracer consistent with measured concentration data. The resistivity tomograms serve as an appropriate surrogate for concentration maps that are otherwise impossible to obtain. Under reasonable assumptions, estimates of groundwater.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings: Symposium on the Application of Geophysics to Engineering and Environmental Problems (SAGEEP)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Symposium on the Application of Geophysics to Engineering and Environmental Problems (SAGEEP)","conferenceDate":"April 6-10, 2003","conferenceLocation":"San Antonio TX","language":"English","publisher":"Environmental and Engineering Geophysical Society","usgsCitation":"Kamini Singha, Binley, A., Lane, J., and Gorelick, S.M., 2003, Electrical imaging of tracer migration at the Massachusetts Military Reservation, Cape Cod, in Proceedings: Symposium on the Application of Geophysics to Engineering and Environmental Problems (SAGEEP), San Antonio TX, April 6-10, 2003, 11 p.","productDescription":"11 p.","costCenters":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":368768,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368767,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://water.usgs.gov/ogw/bgas/publications/SAGEEP03_Singha/"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Massachusetts Military Reservation","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.58544158935547,\n 41.66803916450639\n ],\n [\n -70.50029754638672,\n 41.66803916450639\n ],\n [\n -70.50029754638672,\n 41.774896327485244\n ],\n [\n -70.58544158935547,\n 41.774896327485244\n ],\n [\n -70.58544158935547,\n 41.66803916450639\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kamini Singha","contributorId":200810,"corporation":false,"usgs":false,"family":"Kamini Singha","affiliations":[],"preferred":false,"id":774221,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Binley, Andrew 0000-0002-0938-9070","orcid":"https://orcid.org/0000-0002-0938-9070","contributorId":192556,"corporation":false,"usgs":false,"family":"Binley","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":774222,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lane, John W. Jr. 0000-0002-3558-243X","orcid":"https://orcid.org/0000-0002-3558-243X","contributorId":210076,"corporation":false,"usgs":true,"family":"Lane","given":"John W.","suffix":"Jr.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":774223,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gorelick, Steven M.","contributorId":8784,"corporation":false,"usgs":true,"family":"Gorelick","given":"Steven","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":774224,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70206341,"text":"70206341 - 2003 - Object-based inversion of crosswell radar tomography data to monitor vegetable-oil injection experiment","interactions":[],"lastModifiedDate":"2020-04-06T22:50:07.977306","indexId":"70206341","displayToPublicDate":"2003-12-31T16:05:47","publicationYear":"2003","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Object-based inversion of crosswell radar tomography data to monitor vegetable-oil injection experiment","docAbstract":"Crosswell radar tomography methods can be used to dynamically image ground-water flow and mass transport associated with tracer tests, hydraulic tests, and natural physical processes. Dynamic imaging can be used to identify preferential flow paths and to help characterize complex aquifer heterogeneity. Unfortunately, because the raypath coverage of the interwell region is limited by the borehole geometry, the tomographic inverse problem is typically underdetermined, and tomograms may contain artifacts such as spurious blurring or streaking that confuse interpretation.
We implement object-based inversion (using a constrained, non-linear, least-squares algorithm) as an alternative to pixel-based inversion approaches that utilize regularization (such as damping or smoothing criteria). Our approach requires pre- and post-injection travel-time data. Parameterization of the image plane comprises a small number of objects rather than a large number of pixels, resulting in an overdetermined problem that reduces the need for prior information. The nature and geometry of the objects are based on hydrologic insight into aquifer characteristics, the nature of the experiment, and the planned use of the geophysical results.
The object-based inversion approach is demonstrated using synthetic and crosswell radar field data acquired during vegetable-oil injection experiments at a site in Fridley, Minnesota. The region where oil has displaced ground water is discretized as a stack of rectangles of variable horizontal extents. The inversion provides the geometry of the affected region and an estimate of the radar slowness change for each rectangle. Applying petrophysical models to these results and porosity from neutron logs, we estimate that the vegetable-oil emulsion saturation in various layers ranges from 60 to 90%. Further work is needed to assess the accuracy of the emulsion saturation estimates.
Using synthetic- and field-data examples, the object-based inversion approach is shown to be an effective strategy for inverting crosswell radar tomography data acquired to monitor the emplacement of vegetable-oil emulsions. A principal advantage of object-based inversion is that it yields images that hydrologists and engineers can easily interpret and use for model calibration.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings: Symposium on the Application of Geophysics to Engineering and Environmental Problems (SAGEEP)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Symposium on the Application of Geophysics to Engineering and Environmental Problems (SAGEEP)","conferenceDate":"April 6-10, 2003","conferenceLocation":"San Antonio TX","language":"English","publisher":"Environmental and Engineering Geophysical Society","usgsCitation":"Lane, J., Day-Lewis, F.D., Roelof J. Versteeg, and Casey, C., 2003, Object-based inversion of crosswell radar tomography data to monitor vegetable-oil injection experiment, in Proceedings: Symposium on the Application of Geophysics to Engineering and Environmental Problems (SAGEEP), San Antonio TX, April 6-10, 2003, 27 p.","productDescription":"27 p.","costCenters":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":368766,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368765,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://water.usgs.gov/ogw/bgas/publications/SAGEEP03_Lane/"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lane, John W. Jr. 0000-0002-3558-243X","orcid":"https://orcid.org/0000-0002-3558-243X","contributorId":210076,"corporation":false,"usgs":true,"family":"Lane","given":"John W.","suffix":"Jr.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":774217,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":774218,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roelof J. Versteeg","contributorId":199895,"corporation":false,"usgs":false,"family":"Roelof J. Versteeg","affiliations":[],"preferred":false,"id":774219,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Casey, C.C.","contributorId":10206,"corporation":false,"usgs":true,"family":"Casey","given":"C.C.","email":"","affiliations":[],"preferred":false,"id":774220,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70209812,"text":"70209812 - 2003 - U-series disequilibrium as a test for unsaturated-zone hydrologic models at Yucca Mountain, Nevada","interactions":[],"lastModifiedDate":"2020-05-01T17:56:42.647124","indexId":"70209812","displayToPublicDate":"2003-12-31T13:26:45","publicationYear":"2003","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"U-series disequilibrium as a test for unsaturated-zone hydrologic models at Yucca Mountain, Nevada","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 10th international high-level radioactive waste management conference (IHLRWM)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"10th International High-level Radioactive Waste Management Conference (IHLRWM)","conferenceDate":"Mar 30 - Apr 2, 2003","conferenceLocation":"Las Vegas, NV","language":"English","publisher":"American Nuclear Society","usgsCitation":"Paces, J.B., and Neymark, L., 2003, U-series disequilibrium as a test for unsaturated-zone hydrologic models at Yucca Mountain, Nevada, in Proceedings of the 10th international high-level radioactive waste management conference (IHLRWM), Las Vegas, NV, Mar 30 - Apr 2, 2003, p. 27-38.","productDescription":"12 p.","startPage":"27","endPage":"38","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":374370,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Yucca Mountain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.48254394531249,\n 36.91352904330221\n ],\n [\n -116.43602371215822,\n 36.91352904330221\n ],\n [\n -116.43602371215822,\n 36.95757376878687\n ],\n [\n -116.48254394531249,\n 36.95757376878687\n ],\n [\n -116.48254394531249,\n 36.91352904330221\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Paces, James B. 0000-0002-9809-8493 jbpaces@usgs.gov","orcid":"https://orcid.org/0000-0002-9809-8493","contributorId":2514,"corporation":false,"usgs":true,"family":"Paces","given":"James","email":"jbpaces@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":788130,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neymark, Leonid A. 0000-0003-4190-0278 lneymark@usgs.gov","orcid":"https://orcid.org/0000-0003-4190-0278","contributorId":140338,"corporation":false,"usgs":true,"family":"Neymark","given":"Leonid A.","email":"lneymark@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":788131,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70205798,"text":"70205798 - 2003 - Application of artificial neural networks to complex groundwater management problems","interactions":[],"lastModifiedDate":"2019-10-03T13:30:09","indexId":"70205798","displayToPublicDate":"2003-12-31T13:23:28","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2832,"text":"Natural Resources Research","onlineIssn":"1573-8981","printIssn":"1520-7439","active":true,"publicationSubtype":{"id":10}},"title":"Application of artificial neural networks to complex groundwater management problems","docAbstract":"As water quantity and quality problems become increasingly severe, accurate prediction and effective management of scarcer water resources will become critical. In this paper, the successful application of artificial neural network (ANN) technology is described for three types of groundwater prediction and management problems. In the first example, an ANN was trained with simulation data from a physically based numerical model to predict head (groundwater elevation) at locations of interest under variable pumping and climate conditions. The ANN achieved a high degree of predictive accuracy, and its derived state-transition equations were embedded into a multiobjective optimization formulation and solved to generate a trade-off curve depicting water supply in relation to contamination risk. In the second and third examples, ANNs were developed with real-world hydrologic and climate data for different hydrogeologic environments. For the second problem, an ANN was developed using data collected for a 5-year, 8-month period to predict heads in a multilayered surficial and limestone aquifer system under variable pumping, state, and climate conditions. Using weekly stress periods, the ANN substantially outperformed a well-calibrated numerical flow model for the 71-day validation period, and provided insights into the effects of climate and pumping on water levels. For the third problem, an ANN was developed with data collected automatically over a 6-week period to predict hourly heads in 11 high-capacity public supply wells tapping a semiconfined bedrock aquifer and subject to large well-interference effects. Using hourly stress periods, the ANN accurately predicted heads for 24-hour periods in all public supply wells. These test cases demonstrate that the ANN technology can solve a variety of complex groundwater management problems and overcome many of the problems and limitations associated with traditional physically based flow models.
","language":"English","publisher":"Springer","doi":"10.1023/B:NARR.0000007808.11860.7e","usgsCitation":"Coppola, E., Poulton, M., Charles, E.G., Dustman, J., and Szidarovszky, F., 2003, Application of artificial neural networks to complex groundwater management problems: Natural Resources Research, v. 12, no. 4, p. 303-320, https://doi.org/10.1023/B:NARR.0000007808.11860.7e.","productDescription":"18 p.","startPage":"303","endPage":"320","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":367974,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Coppola, Emery Jr.","contributorId":219496,"corporation":false,"usgs":false,"family":"Coppola","given":"Emery","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":772384,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poulton, Mary","contributorId":219497,"corporation":false,"usgs":false,"family":"Poulton","given":"Mary","email":"","affiliations":[],"preferred":false,"id":772385,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":772386,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dustman, John","contributorId":219498,"corporation":false,"usgs":false,"family":"Dustman","given":"John","email":"","affiliations":[],"preferred":false,"id":772387,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Szidarovszky, F.","contributorId":30457,"corporation":false,"usgs":true,"family":"Szidarovszky","given":"F.","email":"","affiliations":[],"preferred":false,"id":772388,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70185153,"text":"70185153 - 2003 - The behavior of U- and Th-series nuclides in groundwater","interactions":[],"lastModifiedDate":"2017-03-15T13:12:34","indexId":"70185153","displayToPublicDate":"2003-12-31T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3281,"text":"Reviews in Mineralogy and Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"The behavior of U- and Th-series nuclides in groundwater","docAbstract":"Groundwater has long been an active area of research driven by its importance both as a societal resource and as a component in the global hydrological cycle. Key issues in groundwater research include inferring rates of transport of chemical constituents, determining the ages of groundwater, and tracing water masses using chemical fingerprints. While information on the trace elements pertinent to these topics can be obtained from aquifer tests using experimentally introduced tracers, and from laboratory experiments on aquifer materials, these studies are necessarily limited in time and space. Regional studies of aquifers can focus on greater scales and time periods, but must contend with greater complexities and variations. In this regard, the isotopic systematics of the naturally occurring radionuclides in the U- and Th- decay series have been invaluable in investigating aquifer behavior of U, Th, and Ra. These nuclides are present in all groundwaters and are each represented by several isotopes with very different half-lives, so that processes occurring over a range of time-scales can be studied (Table 1⇓). Within the host aquifer minerals, the radionuclides in each decay series are generally expected to be in secular equilibrium and so have equal activities (see Bourdon et al. 2003). In contrast, these nuclides exhibit strong relative fractionations within the surrounding groundwaters that reflect contrasting behavior during release into the water and during interaction with the surrounding host aquifer rocks. Radionuclide data can be used, within the framework of models of the processes involved, to obtain quantitative assessments of radionuclide release from aquifer rocks and groundwater migration rates. The isotopic variations that are generated also have the potential for providing fingerprints for groundwaters from specific aquifer environments, and have even been explored as a means for calculating groundwater ages.
","language":"English","publisher":" Mineralogical Society of America (MSA) and the Geochemical Society","doi":"10.2113/0520317","usgsCitation":"Porcelli, D., and Swarzenski, P., 2003, The behavior of U- and Th-series nuclides in groundwater: Reviews in Mineralogy and Geochemistry, v. 52, no. 1, p. 317-361, https://doi.org/10.2113/0520317.","productDescription":"45 p.","startPage":"317","endPage":"361","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":337637,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ca52d1e4b0849ce97c86d2","contributors":{"authors":[{"text":"Porcelli, D.","contributorId":35912,"corporation":false,"usgs":true,"family":"Porcelli","given":"D.","email":"","affiliations":[],"preferred":false,"id":684548,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swarzenski, P.W. 0000-0003-0116-0578","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":29487,"corporation":false,"usgs":true,"family":"Swarzenski","given":"P.W.","affiliations":[],"preferred":false,"id":684549,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70240592,"text":"70240592 - 2003 - Shallow water table fluctuations in relation to soil penetration resistance","interactions":[],"lastModifiedDate":"2023-02-09T20:31:04.2917","indexId":"70240592","displayToPublicDate":"2003-12-01T14:23:10","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Shallow water table fluctuations in relation to soil penetration resistance","docAbstract":"Hydrologic modeling of catchments is frequently hampered by lack of information on subsurface stratigraphy and zones of preferred flow. We evaluated the usefulness of soil penetration resistance, easily measured by a dynamic cone penetrometer, together with measurements of ground water level fluctuations, as a cost-effective means to infer subsurface flow patterns. At our field site at Sleepers River, Vermont, penetration resistance was lowest in the surficial 10 to 30 cm, then typically increased to a local maximum at 60 to 80 cm, which we interpreted as the soil/till interface. Below this depth usually lies a zone of decreased resistance in the till, giving way to either a gradual or abrupt increase in resistance toward the bedrock surface at 1 to 4.5 m depth. Penetration resistance had a weak but significant negative correlation with saturated hydraulic conductivity determined by bail tests (r2= 0.25, p < 0.05). At many wells, monthly ground water levels tended to cluster at or just above the resistant zone near the soil/till interface. Chemical and isotopic dynamics in nested wells finished above and below the resistant zone suggest that the zone may temporarily isolate the deeper ground water reservoir from meltwater inputs, which were clearly identified by low δ18O values. In ground water discharge zones, δ18O values tended to converge throughout the profile. In contrast, dissolved organic carbon (DOC) maintained a gradient of increasing concentration toward land surface, even in otherwise well-mixed waters, reflecting its rapid release from organic horizons. Understanding the effect of soil penetration resistance on ground water behavior may be useful in future catchment modeling efforts.
","language":"English","publisher":"National Ground Water Association","usgsCitation":"Shanley, J.B., Hjerdt, K.N., McDonnell, J.J., and Kendall, C., 2003, Shallow water table fluctuations in relation to soil penetration resistance: Groundwater, v. 41, no. 7, p. 964-972.","productDescription":"9 p.","startPage":"964","endPage":"972","costCenters":[],"links":[{"id":412918,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Vermont","otherGeospatial":"Sleepers River Research Watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -72.80107041929911,\n 44.807565523241294\n ],\n [\n -72.80107041929911,\n 44.35469178581053\n ],\n [\n -72.03477403258064,\n 44.35469178581053\n ],\n [\n -72.03477403258064,\n 44.807565523241294\n ],\n [\n -72.80107041929911,\n 44.807565523241294\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"41","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":864000,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hjerdt, K. Niclas","contributorId":302313,"corporation":false,"usgs":false,"family":"Hjerdt","given":"K.","email":"","middleInitial":"Niclas","affiliations":[],"preferred":false,"id":864001,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McDonnell, Jeffrey J.","contributorId":202934,"corporation":false,"usgs":false,"family":"McDonnell","given":"Jeffrey","email":"","middleInitial":"J.","affiliations":[{"id":36551,"text":"University of Saskatchewan, Canada, and University of Aberdeen, Scotland","active":true,"usgs":false}],"preferred":false,"id":864002,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kendall, Carol 0000-0002-0247-3405 ckendall@usgs.gov","orcid":"https://orcid.org/0000-0002-0247-3405","contributorId":1462,"corporation":false,"usgs":true,"family":"Kendall","given":"Carol","email":"ckendall@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":864003,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":52893,"text":"wri034133 - 2003 - Diffusion and drive-point sampling to detect ordnance-related compounds in shallow ground water beneath Snake Pond, Cape Cod, Massachusetts, 2001-02","interactions":[],"lastModifiedDate":"2020-02-09T17:46:08","indexId":"wri034133","displayToPublicDate":"2003-12-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2003-4133","title":"Diffusion and drive-point sampling to detect ordnance-related compounds in shallow ground water beneath Snake Pond, Cape Cod, Massachusetts, 2001-02","docAbstract":"Diffusion samplers and temporary drive points were used to test for ordnance-related compounds in ground water discharging to Snake Pond near Camp Edwards at the Massachusetts Military Reservation, Cape Cod, MA. The contamination resulted from artillery use and weapons testing at various ranges upgradient of the pond.The diffusion samplers were constructed with a high-grade cellulose membrane that allowed diffusion of explosive compounds, such as RDX (Hexahydro-1,3,5-trinitro-1,3,5-triazine) and HMX (Octahydro-1,3,5,7-tetranitro-1,3,5,7-tetrazocine), into deionized water inside the samplers. Laboratory tests confirmed that the cellulose membrane was permeable to RDX and HMX. One transect of 22 diffusion samplers was installed and retrieved in August-September 2001, and 12 transects with a total of 108 samplers were installed and retrieved in September-October 2001. \r\n\r\nThe diffusion samplers were buried about 0.5 feet into the pond-bottom sediments by scuba divers and allowed to equilibrate with the ground water beneath the pond bottom for 13 to 27 days before retrieval. Water samples were collected from temporary well points driven about 2-4 feet into the pond bottom at 21 sites in December 2001 and March 2002 for analysis of explosives and perchlorate to confirm the diffusion-sampling results. \r\n\r\nThe water samples from the diffusion samplers exhibited numerous chromatographic peaks, but evaluation of the photo-diode-array spectra indicated that most of the peaks did not represent the target compounds. The peaks probably are associated with natural organic compounds present in the soft, organically enriched pond-bottom sediments. The presence of four explosive compounds at five widely spaced sites was confirmed by the photo-diode-array analysis, but the compounds are not generally found in contaminated ground water near the ranges. No explosives were detected in water samples obtained from the drive points. Perchlorate was detected at less than 1 microgram per liter in two drive-point samples collected at the same site on two dates about 3 months apart. The source of the perchlorate in the samples could not be related directly to other contamination from Camp Edwards with the available information. \r\n\r\nThe results from the diffusion and drive-point sampling do not indicate an area of ground-water discharge with concentrations of the ordnance-related compounds that are sufficiently elevated to be detected by these sampling methods. The diffusion and drive-point sampling data cannot be interpreted further without additional information concerning the pattern of ground-water flow at Snake Pond and the distributions of RDX, HMX, and perchlorate in ground water in the aquifer near the pond.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/wri034133","usgsCitation":"LeBlanc, D.R., 2003, Diffusion and drive-point sampling to detect ordnance-related compounds in shallow ground water beneath Snake Pond, Cape Cod, Massachusetts, 2001-02: U.S. Geological Survey Water-Resources Investigations Report 2003-4133, 25 p., https://doi.org/10.3133/wri034133.","productDescription":"25 p.","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":4957,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri034133/","linkFileType":{"id":5,"text":"html"}},{"id":177139,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Massachusetts ","otherGeospatial":"Cape Cod","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.7958984375,\n 41.582579601430346\n ],\n [\n -69.85107421874999,\n 41.582579601430346\n ],\n [\n -69.85107421874999,\n 42.21224516288584\n ],\n [\n -70.7958984375,\n 42.21224516288584\n ],\n [\n -70.7958984375,\n 41.582579601430346\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9ae4b07f02db65d69f","contributors":{"authors":[{"text":"LeBlanc, Denis R. 0000-0002-4646-2628 dleblanc@usgs.gov","orcid":"https://orcid.org/0000-0002-4646-2628","contributorId":1696,"corporation":false,"usgs":true,"family":"LeBlanc","given":"Denis","email":"dleblanc@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":246159,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":52917,"text":"wri034124 - 2003 - Development, calibration, and analysis of a hydrologic and water-quality model of the Delaware Inland Bays watershed","interactions":[],"lastModifiedDate":"2018-03-21T15:39:06","indexId":"wri034124","displayToPublicDate":"2003-12-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2003-4124","title":"Development, calibration, and analysis of a hydrologic and water-quality model of the Delaware Inland Bays watershed","docAbstract":"Excessive nutrients and sediment are among the most significant environmental stressors in the Delaware Inland Bays (Rehoboth, Indian River, and Little Assawoman Bays). Sources of nutrients, sediment, and other contaminants within the Inland Bays watershed include point-source discharges from industries and wastewater-treatment plants, runoff and infiltration to ground water from agricultural fields and poultry operations, effluent from on-site wastewater disposal systems, and atmospheric deposition. To determine the most effective restoration methods for the Inland Bays, it is necessary to understand the relative distribution and contribution of each of the possible sources of nutrients, sediment, and other contaminants.\r\n\r\nA cooperative study involving the Delaware Department of Natural Resources and Environmental Control, the Delaware Geological Survey, and the U.S. Geological Survey was initiated in 2000 to develop a hydrologic and water-quality model of the Delaware Inland Bays watershed that can be used as a water-resources planning and management tool. The model code Hydrological Simulation Program - FORTRAN (HSPF) was used. The 719-square-kilometer watershed was divided into 45 model segments, and the model was calibrated using streamflow and water-quality data for January 1999 through April 2000 from six U.S. Geological Survey stream-gaging stations within the watershed. Calibration for some parameters was accomplished using PEST, a model-independent parameter estimator. Model parameters were adjusted systematically so that the discrepancies between the simulated values and the corresponding observations were minimized.\r\n\r\nModeling results indicate that soil and aquifer permeability, ditching, dominant land-use class, and land-use practices affect the amount of runoff, the mechanism or flow path (surface flow, interflow, or base flow), and the loads of sediment and nutrients. In general, the edge-of-stream total suspended solids yields in the Inland Bays watershed are low in comparison to yields reported for the Eastern Shore from the Chesapeake Bay watershed model. The flatness of the terrain and the low annual surface runoff are important factors in determining the amount of detached sediment from the land that is delivered to streams. The highest total suspended solids yields were found in the southern part of the watershed, associated with high total streamflow and a high surface runoff component, and related to soil and aquifer permeability and land use. Nutrient yields from watershed model segments in the southern part of the Inland Bays watershed were the highest of all calibrated segments, due to high runoff and the substantial amount of available organic fertilizer (animal waste), which results in over-application of organic fertilizer to crops.\r\n\r\nTime series of simulated hourly total nitrogen concentrations and observed instantaneous values indicate a seasonal pattern, with the lowest values occurring during the summer and the highest during the winter months. Total phosphorus and total suspended solids concentrations are somewhat less seasonal. During storm events, total nitrogen concentrations tend to be diluted and total phosphorus concentrations tend to rise sharply. Nitrogen is transported mainly in the aqueous phase and primarily through ground water, whereas phosphorus is strongly associated with sediment, which washes off during precipitation events.","language":"ENGLISH","doi":"10.3133/wri034124","usgsCitation":"Gutierrez-Magness, A.L., and Raffensperger, J.P., 2003, Development, calibration, and analysis of a hydrologic and water-quality model of the Delaware Inland Bays watershed: U.S. Geological Survey Water-Resources Investigations Report 2003-4124, 50 p., https://doi.org/10.3133/wri034124.","productDescription":"50 p.","costCenters":[],"links":[{"id":5006,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri034124/","linkFileType":{"id":5,"text":"html"}},{"id":124841,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/wri_2003_4124.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9be4b07f02db65dda5","contributors":{"authors":[{"text":"Gutierrez-Magness, Angelica L.","contributorId":36995,"corporation":false,"usgs":true,"family":"Gutierrez-Magness","given":"Angelica","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":246226,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Raffensperger, Jeff P. 0000-0001-9275-6646 jpraffen@usgs.gov","orcid":"https://orcid.org/0000-0001-9275-6646","contributorId":199119,"corporation":false,"usgs":true,"family":"Raffensperger","given":"Jeff","email":"jpraffen@usgs.gov","middleInitial":"P.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":246227,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":52924,"text":"wri034035 - 2003 - Residence times and nitrate transport in ground water discharging to streams in the Chesapeake Bay Watershed","interactions":[],"lastModifiedDate":"2021-07-02T14:15:01.692846","indexId":"wri034035","displayToPublicDate":"2003-12-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2003-4035","title":"Residence times and nitrate transport in ground water discharging to streams in the Chesapeake Bay Watershed","docAbstract":"One of the major water-quality problems in the Chesapeake Bay is an overabundance of nutrients from the streams and rivers that discharge to the Bay. Some of these nutrients are from nonpoint sources such as atmospheric deposition, agricultural manure and fertilizer, and septic systems. The effects of efforts to control nonpoint sources, however, can be difficult to quantify because of the lag time between changes at the land surface and the response in the base-flow (ground water) component of streams. To help resource managers understand the lag time between implementation of management practices and subsequent response in the nutrient concentrations in the base-flow component of streamflow, a study of ground-water discharge, residence time, and nitrate transport in springs throughout the Chesapeake Bay Watershed and in four smaller watersheds in selected hydrogeomorphic regions (HGMRs) was conducted. The four watersheds were in the Coastal Plain Uplands, Piedmont crystalline, Valley and Ridge carbonate, and Valley and Ridge siliciclastic HGMRs.
A study of springs to estimate an apparent age of the ground water was based on analyses for concentrations of chlorofluorocarbons in water samples collected from 48 springs in the Chesapeake Bay Watershed. Results of the analysis indicate that median age for all the samples was 10 years, with the 25th percentile having an age of 7 years and the 75th percentile having an age of 13 years. Although the number of samples collected in each HGMR was limited, there did not appear to be distinct differences in the ages between the HGMRs. The ranges were similar between the major HGMRs above the Fall Line (modern to about 50 years), with only two HGMRs of small geographic extent (Piedmont carbonate and Mesozoic Lowland) having ranges of modern to about 10 years. The median values of all the HGMRs ranged from 7 to 11 years. Not enough samples were collected in the Coastal Plain for comparison. Spring samples showed slightly younger water under wet conditions than under dry conditions. The apparent age of water from wells, springs, and other ground-water discharge points in the four targeted watersheds was modern to 60 years, which was similar to the apparent ages from the spring study. In the Pocomoke River Watershed in the Coastal Plain Uplands HGMR, the apparent age of ground-water samples ranged from 0 to 60 years; the ages in the vicinity of the streams ranged from 0 to 23 years.
The apparent ages of ground water in the Polecat Creek Watershed in the Piedmont crystalline HGMR ranged from 2 to 30 years. The apparent ages of water from wells in the Muddy Creek Watershed in the Valley and Ridge carbonate HGMR ranged from 10 to 20 years (except for a single sample that was 45 years). The ages in the East Mahantango Creek Watershed in the Valley and Ridge siliciclastic HGMR ranged from 0 to 50 years. The distribution in apparent age of water from wells in the targeted watersheds, however, generally is older than that for water from the springs. The median age of water from wells in the Muddy Creek Watershed, for example, was 15 years, compared to 11 years for the water from the springs in that watershed, and less than 10 years for water from all springs in the spring study. The similarity in the ranges in apparent age of water from the wells and from the springs shows that the samples from the targeted watersheds and springs have bracketed the range of apparent ages that would be expected in the shallow ground-water-flow systems throughout the Chesapeake Bay Watershed.
The apparent age of water from individual wells does not necessarily represent the entire distribution of ages of the discharging ground water, and it is this distribution of ages that affects the response of nutrient concentrations in stream base flow. Nutrient-reduction scenarios were modeled for two watersheds for which the distribution of apparent ground-water ages was available, the East Mahantango Creek Watershed in the Valley and Ridge siliciclastic HGMR and the Locust Grove Watershed in the Coastal Plain Uplands HGMR. A nutrient-reduction scenario was created for East Mahantango Creek, where the average residence time was determined to be approximately 10 years on the basis of the output of particle tracking from a ground-water-flow model. This scenario showed decreases of nearly 50 percent in base-flow concentrations of nitrate in streams within the first year after the reduction in nitrogen input; smaller reductions in nitrate concentration occurred in each subsequent year. A second scenario for that same watershed, in which the same 10-year average residence time was assumed and an exponential model was used for analysis, showed that a 50-percent reduction in base-flow concentrations of nitrate could take up to 5 years. For the Locust Grove Watershed, in which an average residence time of 32 years was assumed, simulation with the exponential model showed that it may take more than 20 years to achieve a 50-percent reduction in base-flow concentra-tions of nitrate. Although it was not possible to construct such scenarios for all watersheds, these examples show the range of possible responses to changes in nutrient inputs in two very different types of watersheds.
Findings from this study include information on factors that affect ground-water age, spatial distribution of ages, and nitrogen transport. In the East Mahantango Creek Watershed and the Polecat Creek Watershed, the residence time varied spatially depending on the position of the flow path, and temporally depending on the recharge conditions. Generally, ground water in areas near the stream had short residence times and the water in upland areas had longer residence times. Water traveling through deep layers had longer residence times than water traveling through shallow layers, and residence times were faster under high recharge conditions than low recharge conditions. Ground water in the Pocomoke Watershed exhibits a similar pattern: younger water discharges to small order streams in headwater basins and older water discharges to larger streams near the basin outlet.
Factors affecting nitrogen transport in ground water include spatial and temporal variation in input sources, ground-water age, and aquifer processes that lead to denitrification. Spatial and temporal variations in nitrogen sources affect all the watersheds. Tributaries with higher inputs of nitrogen have higher concentrations in stream base flow. Areas where nitrogen application rates have increased over time show an age-nitrate relation in ground-water samples. The age-nitrate relation can be affected by denitrification, which occurs in Pocomoke and East Mahantango Creeks but is not evident in Polecat and Muddy Creeks. In East Mahantango Creek, the level of denitrification is significant in water with residence times greater than 20 years, but because this is a small component of overall ground-water discharge to a stream, it may not remove a significant quantity of nitrogen from the system. Denitrification in Pocomoke Creek is significant and appears to affect mostly older water discharging to streams. Therefore, if most of the nitrogen entering these two streams is associated with the discharge of younger ground water, denitrification may not greatly affect the overall nitrogen delivery to these streams.
Other findings of this study show that nitrate in ground water discharging along preferential flow paths may not be affected by natural processes, such as denitrification or uptake by riparian vegetation. Seeps to swales and ditches beneath the north uplands at Polecat Creek indicate a shallow water table and discharge of young ground water whereas the absence of such seeps on the south side indicates a deep water table and a lack of young ground water. Similarly, discharge at the base of the slope and to the valley wetland south of the creek but not north of the creek indicates a different role for the riparian forest on the two sides of the creek. In many of the systems where water discharges at the base of slopes to wetlands, ditches have been dug to drain the valley. Such drainage circumvents possible removal of nitrate by riparian vegetation.
Because ground-water residence times do not appear directly related to the HGMRs, the targeting of management practices will achieve the most rapid response in water quality if directed at 1) watersheds with large agricultural sources of nitrate, 2) areas with the shortest ground-water-flow paths and 3) areas not affected by significant denitrification. The fastest response in stream base-flow concentrations of nitrogen to implementation of management practices would be to implement practices in those areas with the highest loads rather than attempt to target practices on the basis of HGMR stratification. Overall findings of the study indicate that 1) ground-water contributions to nitrogen in streamflow are significant, 2) some response to management practices should be evident in base-flow concentrations of nitrogen and loads within 1 to 5 years in watersheds with the shortest average residence times, but response time may be closer to 20 years in watersheds with longer average ground-water residence times, 3) the majority of the response in ground-water discharge to any changes in management practices will be distributed over a 10-year time period even in the watersheds with the fastest response times, and 4) given that half the streamflow is from ground-water discharge and the other half is runoff or soil water, about 90 percent of total water being discharged to a stream will be less than about a decade old; therefore, full implementation of nutrient reductions may result in improved streamwater quality in about a decade. In the more-likely scenario of gradual source reduction, the reduction in concentrations of nitrate in streams and aquifers would take longer than the examples shown here.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/wri034035","collaboration":"Prepared in cooperation with the Chesapeake Bay Program","usgsCitation":"Lindsey, B., Phillips, S., Donnelly, C.A., Speiran, G.K., Plummer, N., Bohlke, J., Focazio, M.J., Burton, W.C., and Busenberg, E., 2003, Residence times and nitrate transport in ground water discharging to streams in the Chesapeake Bay Watershed: U.S. Geological Survey Water-Resources Investigations Report 2003-4035, xiv, 201 p., https://doi.org/10.3133/wri034035.","productDescription":"xiv, 201 p.","onlineOnly":"Y","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":5012,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/2003/4035/wri20034035.pdf","text":"Report","size":"10.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"WRI 2003-4035"},{"id":174422,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/2003/4035/coverthb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.1904296875,\n 38.41916639395372\n ],\n [\n -75.223388671875,\n 38.64261790634527\n ],\n [\n -75.35522460937499,\n 38.79690830348427\n ],\n [\n -75.498046875,\n 38.87392853923629\n ],\n [\n -75.5419921875,\n 39.0533181067413\n ],\n [\n -75.662841796875,\n 39.30029918615029\n ],\n [\n -75.750732421875,\n 39.70718665682654\n ],\n [\n -75.6298828125,\n 40.052847601823984\n ],\n [\n -75.69580078125,\n 40.07807142745009\n ],\n [\n -75.95947265625,\n 40.052847601823984\n ],\n [\n -76.0693359375,\n 40.069664523297774\n ],\n [\n -76.058349609375,\n 40.18726672309203\n ],\n [\n -75.9375,\n 40.29628651711716\n ],\n [\n -75.91552734375,\n 40.3549167507906\n ],\n [\n -75.89355468749999,\n 40.47202439692057\n ],\n [\n -76.09130859375,\n 40.56389453066509\n ],\n [\n -76.190185546875,\n 40.64730356252251\n ],\n [\n -76.0693359375,\n 40.75557964275589\n ],\n [\n -75.83862304687499,\n 40.871987756697415\n ],\n [\n -75.76171875,\n 40.91351257612758\n ],\n [\n -75.706787109375,\n 40.95501133048621\n ],\n [\n -75.7177734375,\n 41.071069130806414\n ],\n [\n -75.662841796875,\n 41.1455697310095\n ],\n [\n -75.5419921875,\n 41.13729606112276\n ],\n [\n -75.322265625,\n 41.104190944576466\n ],\n [\n -75.377197265625,\n 41.22824901518529\n ],\n [\n -75.377197265625,\n 41.28606238749825\n ],\n [\n -75.377197265625,\n 41.43449030894922\n ],\n [\n -75.399169921875,\n 41.6154423246811\n ],\n [\n -75.34423828125,\n 41.68111756290652\n ],\n [\n -75.2783203125,\n 41.91045347666418\n ],\n [\n -75.38818359375,\n 42.00848901572399\n ],\n [\n -75.377197265625,\n 42.09007006868398\n ],\n [\n -75.223388671875,\n 42.17968819665961\n ],\n [\n -74.970703125,\n 42.26917949243506\n ],\n [\n -74.8388671875,\n 42.32606244456202\n ],\n [\n -74.520263671875,\n 42.415346114253616\n ],\n [\n -74.278564453125,\n 42.54498667313236\n ],\n [\n -74.322509765625,\n 42.64204079304426\n ],\n [\n -74.410400390625,\n 42.80346172417078\n ],\n [\n -74.68505859374999,\n 42.924251753870685\n ],\n [\n -75.069580078125,\n 42.98053954751642\n ],\n [\n -75.38818359375,\n 42.96446257387128\n ],\n [\n -75.684814453125,\n 42.93229601903058\n ],\n [\n -75.9375,\n 42.87596410238256\n ],\n [\n -76.201171875,\n 42.827638636242284\n ],\n [\n -76.26708984375,\n 42.72280375732727\n ],\n [\n -76.2890625,\n 42.601619944327965\n ],\n [\n -76.2890625,\n 42.52069952914966\n ],\n [\n -76.343994140625,\n 42.415346114253616\n ],\n [\n -76.46484375,\n 42.382894009614034\n ],\n [\n -76.640625,\n 42.431565872579185\n ],\n [\n -76.7724609375,\n 42.39912215986002\n ],\n [\n -76.80541992187499,\n 42.24478535602799\n ],\n [\n -76.88232421875,\n 42.285437007491545\n ],\n [\n -76.9482421875,\n 42.415346114253616\n ],\n [\n -77.04711914062499,\n 42.44778143462245\n ],\n [\n -77.14599609375,\n 42.415346114253616\n ],\n [\n -77.2998046875,\n 42.382894009614034\n ],\n [\n -77.222900390625,\n 42.54498667313236\n ],\n [\n -77.442626953125,\n 42.69858589169842\n ],\n [\n -77.574462890625,\n 42.60970621339408\n ],\n [\n -77.640380859375,\n 42.48830197960227\n ],\n [\n -77.728271484375,\n 42.439674178149424\n ],\n [\n -77.6513671875,\n 42.31793945446847\n ],\n [\n -77.596435546875,\n 42.22851735620852\n ],\n [\n -77.5634765625,\n 42.09007006868398\n ],\n [\n -77.6953125,\n 41.92680320648791\n ],\n [\n -77.9150390625,\n 41.83682786072714\n ],\n [\n -78.0908203125,\n 41.795888098191426\n ],\n [\n -78.453369140625,\n 41.599013054830216\n ],\n [\n -78.453369140625,\n 41.50857729743935\n ],\n [\n -78.42041015625,\n 41.376808565702355\n ],\n [\n -78.3984375,\n 41.21172151054787\n ],\n [\n -78.519287109375,\n 41.054501963290505\n ],\n [\n -78.541259765625,\n 40.9218144123785\n ],\n [\n -78.409423828125,\n 40.713955826286046\n ],\n [\n -78.299560546875,\n 40.55554790286311\n ],\n [\n -78.343505859375,\n 40.48873742102282\n ],\n [\n -78.475341796875,\n 40.30466538259176\n ],\n [\n -78.64013671875,\n 40.06125658140474\n ],\n [\n -78.826904296875,\n 39.9434364619742\n ],\n [\n -78.848876953125,\n 39.80853604144591\n ],\n [\n -78.85986328125,\n 39.715638134796336\n ],\n [\n -78.99169921875,\n 39.69873414348139\n ],\n [\n -79.046630859375,\n 39.64799732373418\n ],\n [\n -79.266357421875,\n 39.436192999314095\n ],\n [\n -79.420166015625,\n 39.2832938689385\n ],\n [\n -79.354248046875,\n 39.26628442213066\n ],\n [\n -79.266357421875,\n 39.232253141714885\n ],\n [\n -79.2333984375,\n 39.155622393423215\n ],\n [\n -79.244384765625,\n 39.01918369029134\n ],\n [\n -79.27734374999999,\n 38.89103282648846\n ],\n [\n -79.398193359375,\n 38.74551518488265\n ],\n [\n -79.661865234375,\n 38.54816542304656\n ],\n [\n -79.683837890625,\n 38.47079371120379\n ],\n [\n -79.727783203125,\n 38.34165619279595\n ],\n [\n -79.815673828125,\n 38.20365531807149\n ],\n [\n -80.04638671875,\n 38.013476231041935\n ],\n [\n -80.17822265625,\n 37.779398571318765\n ],\n [\n -80.2880859375,\n 37.59682400108367\n ],\n [\n -80.4638671875,\n 37.47485808497102\n ],\n [\n -80.694580078125,\n 37.38761749978395\n ],\n [\n -80.771484375,\n 37.23032838760387\n ],\n [\n -80.57373046875,\n 37.26530995561875\n ],\n [\n -80.44189453125,\n 37.309014074275915\n ],\n [\n -80.255126953125,\n 37.31775185163688\n ],\n [\n -80.013427734375,\n 37.3002752813443\n ],\n [\n -79.8486328125,\n 37.23907530202184\n ],\n [\n -79.771728515625,\n 37.18657859524883\n ],\n [\n -79.6728515625,\n 37.07271048132943\n ],\n [\n -79.541015625,\n 37.09900294387622\n ],\n [\n -79.354248046875,\n 37.142803443716836\n ],\n [\n -79.1455078125,\n 37.10776507118514\n ],\n [\n -79.112548828125,\n 37.055177106660814\n ],\n [\n -78.936767578125,\n 36.932330061503144\n ],\n [\n -78.837890625,\n 36.94111143010769\n ],\n [\n -78.662109375,\n 37.055177106660814\n ],\n [\n -78.486328125,\n 37.03763967977139\n ],\n [\n -78.42041015625,\n 36.94111143010769\n ],\n [\n -78.20068359374999,\n 36.96744946416934\n ],\n [\n -77.904052734375,\n 37.03763967977139\n ],\n [\n -77.750244140625,\n 37.081475648860525\n ],\n [\n -77.53051757812499,\n 37.081475648860525\n ],\n [\n -77.354736328125,\n 37.07271048132943\n ],\n [\n -77.069091796875,\n 37.081475648860525\n ],\n [\n -76.959228515625,\n 37.01132594307015\n ],\n [\n -76.893310546875,\n 36.932330061503144\n ],\n [\n -76.871337890625,\n 36.83566824724438\n ],\n [\n -76.849365234375,\n 36.677230602346214\n ],\n [\n -76.7724609375,\n 36.527294814546245\n ],\n [\n -76.629638671875,\n 36.55377524336089\n ],\n [\n -76.46484375,\n 36.589068371399115\n ],\n [\n -76.35498046875,\n 36.48314061639213\n ],\n [\n -76.256103515625,\n 36.57142382346277\n ],\n [\n -76.190185546875,\n 36.66841891894786\n ],\n [\n -76.0693359375,\n 36.65079252503471\n ],\n [\n -75.9375,\n 36.66841891894786\n ],\n [\n -75.948486328125,\n 36.76529191711624\n ],\n [\n -75.904541015625,\n 37.01132594307015\n ],\n [\n -75.926513671875,\n 37.17782559332976\n ],\n [\n -75.882568359375,\n 37.42252593456307\n ],\n [\n -75.618896484375,\n 37.640334898059486\n ],\n [\n -75.509033203125,\n 37.82280243352756\n ],\n [\n -75.38818359375,\n 38.013476231041935\n ],\n [\n -75.16845703124999,\n 38.272688535980976\n ],\n [\n -75.1904296875,\n 38.41916639395372\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Pennsylvania Water Science Center U.S. Geological Survey
215 Limekiln Road
New Cumberland, PA 17070
Microbial mercury (Hg) methylation and methylmercury (MeHg) degradation processes were examined using radiolabled model Hg compounds in San Francisco Bay-Delta surface sediments during three seasonal periods: late winter, spring, and fall. Strong seasonal and spatial differences were evident for both processes. MeHg production rates were positively correlated with microbial sulfate reduction rates during late winter only. MeHg production potential was also greatest during this period and decreased during spring and fall. This temporal trend was related both to an increase in gross MeHg degradation, driven by increasing temperature, and to a build-up in pore water sulfide and solid phase reduced sulfur driven by increased sulfate reduction during the warmer seasons. MeHg production decreased sharply with depth at two of three sites, both of which exhibited a corresponding increase in reduced sulfur compounds with depth. One site that was comparatively oxidized and alkaline exhibited little propensity for net MeHg production. These results support the hypothesis that net MeHg production is greatest when and where gross MeHg degradation rates are low and dissolved and solid phase reduced sulfur concentrations are low.
","language":"English","publisher":"Estuarine Research Federation","doi":"10.1007/BF02803660","usgsCitation":"Marvin-DiPasquale, M., and Agee, J.L., 2003, Microbial mercury cycling in sediments of the San Francisco Bay-Delta: Estuaries, v. 26, no. 6, p. 1517-1528, https://doi.org/10.1007/BF02803660.","productDescription":"12 p. ","startPage":"1517","endPage":"1528","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":338362,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay-Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.90155029296875,\n 37.77505678240509\n ],\n [\n -121.26983642578124,\n 37.77505678240509\n ],\n [\n -121.26983642578124,\n 38.34165619279595\n ],\n [\n -121.90155029296875,\n 38.34165619279595\n ],\n [\n -121.90155029296875,\n 37.77505678240509\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"26","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58da251be4b0543bf7fda80a","contributors":{"authors":[{"text":"Marvin-DiPasquale, Mark 0000-0002-8186-9167 mmarvin@usgs.gov","orcid":"https://orcid.org/0000-0002-8186-9167","contributorId":149175,"corporation":false,"usgs":true,"family":"Marvin-DiPasquale","given":"Mark","email":"mmarvin@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":686258,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Agee, Jennifer L. 0000-0002-5964-5079 jlagee@usgs.gov","orcid":"https://orcid.org/0000-0002-5964-5079","contributorId":2586,"corporation":false,"usgs":true,"family":"Agee","given":"Jennifer","email":"jlagee@usgs.gov","middleInitial":"L.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":686259,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70184629,"text":"70184629 - 2003 - Dams and downstream ground water","interactions":[],"lastModifiedDate":"2018-11-16T10:34:16","indexId":"70184629","displayToPublicDate":"2003-12-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Dams and downstream ground water","docAbstract":"No abstract available .
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.5164","usgsCitation":"Constantz, J., 2003, Dams and downstream ground water: Hydrological Processes, v. 17, no. 17, p. 3533-3535, https://doi.org/10.1002/hyp.5164.","productDescription":"3 p. ","startPage":"3533","endPage":"3535","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":337374,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"17","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58c3c945e4b0f37a93ee9b5f","contributors":{"authors":[{"text":"Constantz, Jim","contributorId":66338,"corporation":false,"usgs":true,"family":"Constantz","given":"Jim","affiliations":[],"preferred":false,"id":682313,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":52668,"text":"cir1260 - 2003 - Heat as a tool for studying the movement of ground water near streams","interactions":[{"subject":{"id":70194921,"text":"70194921 - 2003 - Determining temperature and thermal properties for heat-based studies of surface-water ground-water interactions: Appendix A of Heat as a tool for studying the movement of ground water near streams (Cir1260)","indexId":"70194921","publicationYear":"2003","noYear":false,"chapter":"Appendix A","title":"Determining temperature and thermal properties for heat-based studies of surface-water ground-water interactions: Appendix A of Heat as a tool for studying the movement of ground water near streams (Cir1260)"},"predicate":"IS_PART_OF","object":{"id":52668,"text":"cir1260 - 2003 - Heat as a tool for studying the movement of ground water near streams","indexId":"cir1260","publicationYear":"2003","noYear":false,"title":"Heat as a tool for studying the movement of ground water near streams"},"id":1}],"lastModifiedDate":"2022-06-28T20:01:42.588471","indexId":"cir1260","displayToPublicDate":"2003-12-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1260","title":"Heat as a tool for studying the movement of ground water near streams","docAbstract":"Stream temperature has long been recognized as an important water quality parameter. Temperature plays a key role in the health of a stream’s aquatic life, both in the water column and in the benthic habitat of streambed sediments. Many fish are sensitive to temperature. For example, anadromous salmon require specific temperature ranges to successfully develop, migrate, and spawn [see Halupka and others, 2000]. Metabolic rates, oxygen requirements and availability, predation patterns, and susceptibility of organisms to contaminants are but a few of the many environmental responses regulated by temperature.
Hydrologists traditionally treated streams and ground water as distinct, independent resources to be utilized and managed separately. With increasing demands on water supplies, however, hydrologists realized that streams and ground water are parts of a single, interconnected resource [see Winter and others, 1998]. Attempts to distinguish these resources for analytical or regulatory purposes are fraught with difficulty because each domain can supply (or drain) the other, with attendant possibilities for contamination exchange. Sustained depletion of one resource usually results in depletion of the other, propagating adverse effects within the watershed.
An understanding of the interconnections between surface water and ground water is therefore essential. This understanding is still incomplete, but receiving growing attention from the research community. Exchanges between streams and shallow ground-water systems play a key role in controlling temperatures not only in streams, but also in their underlying sediments. As a result, analyses of subsurface temperature patterns provide information about surface-water/ground-water interactions.
Chemical tracers are commonly used for tracing flow between streams and ground water. Introduction of chemical tracers in near-stream environments is, however, limited by real and perceived issues regarding introduced contamination and practical constraints. As an alternative, naturally occurring variations in temperature can be used to track (or trace) the heat carried by flowing water. The hydraulic transport of heat enables its use as a tracer.
Differences between temperatures in the stream and surrounding sediments are now being analyzed to trace the movement of ground water to and from streams. As shown in the subsequent chapters of this circular, tracing the transport of heat leads to a better understanding of the magnitudes and mechanisms of stream/ground-water exchanges, and helps quantify the resulting effects on stream and streambed temperatures.
Chapter 1 describes the general principals and procedures by which the natural transport of heat can be utilized to infer the movement of subsurface water near streams. This information sets the foundation for understanding the advanced applications in chapters 2 through 8. Each of these chapters provides a case study, using heat tracing as a tool, of interactions between surface water and ground water for a different location in the western United States. Technical details of the use of heat as an environmental tracer appear in appendices.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1260","usgsCitation":"2003, Heat as a tool for studying the movement of ground water near streams: U.S. Geological Survey Circular 1260, 96 p., https://doi.org/10.3133/cir1260.","productDescription":"96 p.","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":124617,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir_1260.bmp"},{"id":5166,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/circ1260/","linkFileType":{"id":5,"text":"html"}},{"id":402634,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_68302.htm","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a69e4b07f02db63c563","contributors":{"editors":[{"text":"Stonestrom, David A. 0000-0001-7883-3385 dastones@usgs.gov","orcid":"https://orcid.org/0000-0001-7883-3385","contributorId":2280,"corporation":false,"usgs":true,"family":"Stonestrom","given":"David","email":"dastones@usgs.gov","middleInitial":"A.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":726122,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Constantz, Jim","contributorId":66338,"corporation":false,"usgs":true,"family":"Constantz","given":"Jim","affiliations":[],"preferred":false,"id":726123,"contributorType":{"id":2,"text":"Editors"},"rank":2}]}} ,{"id":53110,"text":"wri034138 - 2003 - Simulation of streamflow and water quality in the Red Clay Creek subbasin of the Christina River Basin, Pennsylvania and Delaware, 1994-98","interactions":[],"lastModifiedDate":"2018-02-26T15:31:41","indexId":"wri034138","displayToPublicDate":"2003-12-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2003-4138","title":"Simulation of streamflow and water quality in the Red Clay Creek subbasin of the Christina River Basin, Pennsylvania and Delaware, 1994-98","docAbstract":"The Christina River Basin drains 565 square miles (mi2) in Pennsylvania and Delaware and includes the major subbasins of Red Clay Creek, White Clay Creek, Brandywine Creek, and Christina River. The Red Clay Creek is the smallest of the subbasins and drains an area of 54 mi2. Streams in the Christina River Basin are used for recreation, drinking-water supply, and to support aquatic life. Water quality in some parts of the Christina River Basin is impaired and does not support designated uses of the stream. A multi-agency, waterquality management strategy included a modeling component to evaluate the effects of point and nonpointsource contributions of nutrients and suspended sediment on stream water quality. To assist in nonpointsource evaluation, four independent models, one for each of the four main subbasins of the Christina River Basin, were developed and calibrated using the model code Hydrological Simulation Program?Fortran (HSPF). Water-quality data for model calibration were collected in each of the four main subbasins and in smaller subbasins predominantly covered by one land use following a nonpoint-source monitoring plan. Under this plan, stormflow and base-flow samples were collected during 1998 at 1 site in the Red Clay Creek subbasin and at 10 sites elsewhere in the Christina River Basin.
The HSPF model for the Red Clay Creek subbasin simulates streamflow, suspended sediment, and the nutrients, nitrogen and phosphorus. In addition, the model simulates water temperature, dissolved oxygen, biochemical oxygen demand, and plankton as secondary objectives needed to support the sediment and nutrient simulations. For the model, the basin was subdivided into nine reaches draining areas that ranged from 1.7 to 10 mi2. One of the reaches contains a regulated reservoir. Ten different pervious land uses and two impervious land uses were selected for simulation. Land-use areas were determined from 1995 land-use data. The predominant land uses in the Red Clay Creek subbasin are agricultural, forested, residential, and urban.
The hydrologic component of the model was run at an hourly time step and calibrated using streamflow data from three U.S. Geological Survey (USGS) streamflow-measurement stations for the period of October 1, 1994, through October 29, 1998. Daily precipitation data from one National Oceanic and Atmospheric Administration (NOAA) gage and hourly data from one NOAA gage were used for model input. The difference between observed and simulated stream- flow volume ranged from -0.8 to 2.1 percent for the 4-year period at the three calibration sites. Annual differences between observed and simulated streamflow generally were greater than the overall error for the 4-year period. For example, at a site near Stanton, Del., near the bottom of the basin (drainage area of 50.2 mi2), annual differences between observed and simulated streamflow ranged from -5.8 to 6.0 percent and the overall error for the 4-year period was -0.8 percent. Calibration errors for 36 storm periods at the three calibration sites for total volume, low-flow-recession rate, 50-percent lowest flows, 10-percent highest flows, and storm peaks were 20 percent or less. Much of the error in simulating storm events on an hourly time step can be attributed to uncertainty in the rainfall data.
The water-quality component of the model was calibrated using nonpoint-source monitoring data collected in 1998 at one USGS streamflowmeasurement station and other water-quality monitoring data collected at three USGS streamflowmeasurement stations. The period of record for waterquality monitoring was variable at the stations, with an end date of October 1998 but the start date ranging from October 1994 to January 1998. Because of availability, monitoring data for suspended-solids concentrations were used as surrogates for suspendedsediment concentrations, although suspended solids may underestimate suspended sediment and affect apparent accuracy of the suspended-sediment simulation. Comparison of observed to simulated loads for five storms in 1998 at the one nonpoint-source monitoring site at Wooddale, Del., indicates that simulation error commonly is as large as an order of magnitude for suspended sediment and nutrients. The simulation error tends to be smaller for dissolved utrients than particulate nutrients. Errors of 40 percent or less for monthly or annual values indicate a fair to good water-quality calibration according to recommended criteria, with much larger errors possible for individual storm events. Assessment of the accuracy of the water-quality calibration under stormflow conditions is limited by the sparsity of available water-quality data in the basin.
Users of the Red Clay Creek HSPF model should be aware of model limitations and consider the following when predictive scenarios are desired: streamflow-duration curves indicate the model simulates stream-flow reasonably well when evaluated over a broad range of conditions and time, although streamflow and the corresponding water quality for individual storm events may not be well simulated; streamflow-duration curves for the simulation period compare well with duration curves for the 57.5-year period ending in 2001 at Wooddale, Del., and include all but the extreme high-flow and low-flow events; calibration for water quality was based on sparse data, with the result of increasing uncertainty in the water-quality simulation.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/wri034138","collaboration":"Prepared in cooperation with Delaware River Basin Commission, Delaware Department of Natural Resources and Environmental Control, and the Pennsylvania Department of Environmental Protection","usgsCitation":"Senior, L.A., and Koerkle, E.H., 2003, Simulation of streamflow and water quality in the Red Clay Creek subbasin of the Christina River Basin, Pennsylvania and Delaware, 1994-98: U.S. Geological Survey Water-Resources Investigations Report 2003-4138, x, 119 p., https://doi.org/10.3133/wri034138.","productDescription":"x, 119 p.","numberOfPages":"129","onlineOnly":"Y","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":122082,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/2003/4138/coverthb.jpg"},{"id":4671,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/2003/4138/wri20034138.pdf","text":"Report","size":"1.83 MB","linkFileType":{"id":1,"text":"pdf"},"description":"WRI 2003-4138"}],"contact":"Director, Pennsylvania Water Science Center U.S. Geological Survey
215 Limekiln Road
New Cumberland, PA 17070
In our 3 years serving as editors, we have learned to our delight that Water Resources Research is truly the journal of the hydrologic community. Many individuals have expressed to us their sense of ownership of the journal and their passion for the sustained excellence of the journal. This is extremely healthy as it leads to productive discussions in which varying points of view are put forward, all for the purpose of making the journal better. The community decides the future of its journal. For WRR to be strong the community must be engaged, committed, and willing to discuss matters in a way that will enhance the journal. At this time, there are a number of challenges that face Water Resources Research. These are challenges for each member of the hydrologic community to consider.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2003WR002829","usgsCitation":"Gray, W., and Bencala, K.E., 2003, Editorial: Water Resources Research, v. 39, no. 11, p. COM-01-COM-02, https://doi.org/10.1029/2003WR002829.","productDescription":"2 p.","startPage":"COM-01","endPage":"COM-02","costCenters":[],"links":[{"id":478336,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2003wr002829","text":"Publisher Index Page"},{"id":413957,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"11","noUsgsAuthors":false,"publicationDate":"2003-11-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Gray, William G.","contributorId":105308,"corporation":false,"usgs":true,"family":"Gray","given":"William G.","affiliations":[],"preferred":false,"id":866153,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bencala, Kenneth E. kbencala@usgs.gov","contributorId":1541,"corporation":false,"usgs":true,"family":"Bencala","given":"Kenneth","email":"kbencala@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":866154,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":53196,"text":"b2210A - 2003 - Environmental controls on water quality: Case studies from Battle Mountain mining district, north-central Nevada","interactions":[{"subject":{"id":53196,"text":"b2210A - 2003 - Environmental controls on water quality: Case studies from Battle Mountain mining district, north-central Nevada","indexId":"b2210A","publicationYear":"2003","noYear":false,"chapter":"A","title":"Environmental controls on water quality: Case studies from Battle Mountain mining district, north-central Nevada"},"predicate":"IS_PART_OF","object":{"id":76850,"text":"b2210 - 2003 - Geoenvironmental Investigations of the Humboldt River Basin, Northern Nevada","indexId":"b2210","publicationYear":"2003","noYear":false,"title":"Geoenvironmental Investigations of the Humboldt River Basin, Northern Nevada"},"id":1}],"isPartOf":{"id":76850,"text":"b2210 - 2003 - Geoenvironmental Investigations of the Humboldt River Basin, Northern Nevada","indexId":"b2210","publicationYear":"2003","noYear":false,"title":"Geoenvironmental Investigations of the Humboldt River Basin, Northern Nevada"},"lastModifiedDate":"2021-09-16T21:25:27.125014","indexId":"b2210A","displayToPublicDate":"2003-11-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":306,"text":"Bulletin","code":"B","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2210","chapter":"A","title":"Environmental controls on water quality: Case studies from Battle Mountain mining district, north-central Nevada","docAbstract":"The environmental controls on water quality were the\r\nfocus of our study in a portion of the Battle Mountain mining\r\ndistrict, north-central Nevada. Samples representing areas\r\noutside known mineralized areas, in undisturbed mineralized\r\nareas, and in mined areas were chemically and isotopically\r\nanalyzed. The results are related to geologic, hydrologic, and\r\nclimatic data.\r\nStreams in background areas outside the mineralized\r\nzones reflect normal weathering of volcanically derived rocks.\r\nThe waters are generally dilute, slightly alkaline in pH, and\r\nvery low in metals. As these streams flow into mineralized\r\nzones, their character changes. In undisturbed mineralized\r\nareas, discharge into streams of ground water through hydrologically\r\nconductive fractures can be traced with chemistry\r\nand, even more effectively, with sulfur isotopic composition\r\nof dissolved sulfate. Generally, these tracers are much more\r\nsubtle than in those areas where mining has produced adits and\r\nmine-waste piles. The influence of drainage from these mining\r\nrelicts on water quality is often dramatic, especially in unusually\r\nwet conditions.\r\nIn one heavily mined area, we were able to show that\r\nthe unusually wet weather in the winter and spring greatly\r\ndegraded water quality. Addition of calcite to the acid, metalrich\r\nmine drainage raised the stream pH and nearly quantitatively\r\nremoved the metals through coprecipitation and (or)\r\nadsorption onto oxyhydroxides.\r\nThis paper is divided into four case studies used to\r\ndemonstrate our results. Each addresses the role of geology,\r\nhydrology, mining activity and (or) local climate on water\r\nquality. Collectively, they provide a comprehensive look at the\r\nimportant factors affecting water quality in this portion of the\r\nBattle Mountain mining district.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Geoenvironmental Investigations of the Humboldt River Basin, Northern Nevada","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/b2210A","usgsCitation":"Tuttle, M.L., Wanty, R.B., Berger, B.R., and Stillings, L., 2003, Environmental controls on water quality: Case studies from Battle Mountain mining district, north-central Nevada (Version 1.0): U.S. Geological Survey Bulletin 2210, 30 p., https://doi.org/10.3133/b2210A.","productDescription":"30 p.","temporalStart":"1995-01-01","temporalEnd":"2000-12-31","costCenters":[],"links":[{"id":174809,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":389374,"rank":2,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_58916.htm"},{"id":4791,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/bul/b2210-a/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Nevada","otherGeospatial":"Battle Mountain mining district","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.15,\n 40.6883\n ],\n [\n -117.0,\n 40.6883\n ],\n [\n -117.0,\n 40.5403\n ],\n [\n -117.15,\n 40.5403\n ],\n [\n -117.15,\n 40.6883\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a14e4b07f02db602422","contributors":{"authors":[{"text":"Tuttle, Michele L.W. mtuttle@usgs.gov","contributorId":47839,"corporation":false,"usgs":true,"family":"Tuttle","given":"Michele","email":"mtuttle@usgs.gov","middleInitial":"L.W.","affiliations":[],"preferred":false,"id":246885,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wanty, Richard B. 0000-0002-2063-6423 rwanty@usgs.gov","orcid":"https://orcid.org/0000-0002-2063-6423","contributorId":443,"corporation":false,"usgs":true,"family":"Wanty","given":"Richard","email":"rwanty@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":246882,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berger, Byron R. bberger@usgs.gov","contributorId":1490,"corporation":false,"usgs":true,"family":"Berger","given":"Byron","email":"bberger@usgs.gov","middleInitial":"R.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":246883,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stillings, Lisa L. 0000-0002-9011-8891 stilling@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-8891","contributorId":3143,"corporation":false,"usgs":true,"family":"Stillings","given":"Lisa L.","email":"stilling@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":246884,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":53118,"text":"ofr03356 - 2003 - Water-quality, bed-sediment, and biological data (October 2001 through September 2002) and statistical summaries of data for streams in the upper Clark Fork basin, Montana","interactions":[],"lastModifiedDate":"2020-02-11T07:05:10","indexId":"ofr03356","displayToPublicDate":"2003-11-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2003-356","title":"Water-quality, bed-sediment, and biological data (October 2001 through September 2002) and statistical summaries of data for streams in the upper Clark Fork basin, Montana","docAbstract":"No abstract available.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr03356","usgsCitation":"Dodge, K.A., Hornberger, M.I., and Lavigne, I.R., 2003, Water-quality, bed-sediment, and biological data (October 2001 through September 2002) and statistical summaries of data for streams in the upper Clark Fork basin, Montana: U.S. Geological Survey Open-File Report 2003-356, iv, 95 p. , https://doi.org/10.3133/ofr03356.","productDescription":"iv, 95 p. ","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":174709,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2003/0356/report-thumb.jpg"},{"id":87113,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2003/0356/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Montana","otherGeospatial":"Upper Clark Fork Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.027099609375,\n 45.706179285330855\n ],\n [\n -114.027099609375,\n 47.517200697839414\n ],\n [\n -112.225341796875,\n 47.517200697839414\n ],\n [\n -112.225341796875,\n 45.706179285330855\n ],\n [\n -114.027099609375,\n 45.706179285330855\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e3e4b07f02db5e51a5","contributors":{"authors":[{"text":"Dodge, Kent A. kdodge@usgs.gov","contributorId":1036,"corporation":false,"usgs":true,"family":"Dodge","given":"Kent","email":"kdodge@usgs.gov","middleInitial":"A.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":246685,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hornberger, Michelle I. 0000-0002-7787-3446 mhornber@usgs.gov","orcid":"https://orcid.org/0000-0002-7787-3446","contributorId":1037,"corporation":false,"usgs":true,"family":"Hornberger","given":"Michelle","email":"mhornber@usgs.gov","middleInitial":"I.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":246686,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lavigne, Irene R.","contributorId":17683,"corporation":false,"usgs":true,"family":"Lavigne","given":"Irene","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":246687,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":51552,"text":"ofr03148 - 2003 - Questa baseline and pre-mining ground-water quality investigation. 2. Low-flow (2001) and snowmelt (2002) synoptic/tracer water chemistry for the Red River, New Mexico","interactions":[],"lastModifiedDate":"2023-04-03T20:11:25.770014","indexId":"ofr03148","displayToPublicDate":"2003-11-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2003-148","title":"Questa baseline and pre-mining ground-water quality investigation. 2. Low-flow (2001) and snowmelt (2002) synoptic/tracer water chemistry for the Red River, New Mexico","docAbstract":"Water analyses are reported for 259 samples\r\ncollected from the Red River, New Mexico, and its\r\ntributaries during low-flow(2001) and spring snowmelt\r\n(2002) tracer studies. Water samples were collected\r\nalong a 20-kilometer reach of the Red River beginning\r\njust east of the town of Red River and ending at the U.S.\r\nGeological Survey streamflow-gaging station located\r\neast of Questa, New Mexico. The study area was\r\ndivided into three sections where separate injections\r\nand synoptic sampling events were performed during\r\nthe low-flow tracer study. During the spring snowmelt\r\ntracer study, three tracer injections and synoptic\r\nsampling events were performed bracketing the areas\r\nwith the greatest metal loading into the Red River as\r\ndetermined from the low-flow tracer study. The lowflow\r\ntracer synoptic sampling events were August 17,\r\n20, and 24, 2001. The synoptic sampling events for the\r\nspring snowmelt tracer were March 30, 31, and April 1,\r\n2002.\r\nStream and large inflow water samples were\r\nsampled using equal-width and depth-integrated\r\nsampling methods and composited into half-gallon\r\nbottles. Grab water samples were collected from\r\nsmaller inflows. Stream temperatures were measured at\r\nthe time of sample collection. Samples were\r\ntransported to a nearby central processing location\r\nwhere pH and specific conductance were measured and\r\nthe samples processed for chemical analyses. Cations,\r\ntrace metals, iron redox species, and fluoride were\r\nanalyzed at the U.S. Geological Survey laboratory in\r\nBoulder, Colorado. Cations and trace metal\r\nconcentrations were determined using inductively\r\ncoupled plasma-optical emission spectrometry and\r\ngraphite furnace atomic absorption spectrometry.\r\nArsenic concentrations were determined using hydride\r\ngeneration atomic absorption spectrometry, iron redox\r\nspecies were measured using ultraviolet-visible\r\nspectrometry, and fluoride concentrations were\r\ndetermined using an ion-selective electrode. Alkalinity\r\nwas measured by automated titration, and sulfate,\r\nchloride, and bromide were analyzed by ion\r\nchromatography at the U.S. Geological Survey\r\nlaboratory in Salt Lake City, Utah.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr03148","usgsCitation":"McCleskey, R.B., Nordstrom, D.K., Steiger, J.I., Kimball, B.A., and Verplanck, P.L., 2003, Questa baseline and pre-mining ground-water quality investigation. 2. Low-flow (2001) and snowmelt (2002) synoptic/tracer water chemistry for the Red River, New Mexico: U.S. Geological Survey Open-File Report 2003-148, v, 166 p., https://doi.org/10.3133/ofr03148.","productDescription":"v, 166 p.","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":179480,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":4586,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2003/ofr03-148/","linkFileType":{"id":5,"text":"html"}},{"id":415105,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_62016.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New Mexico","otherGeospatial":"Red River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.5717,\n 36.6539\n ],\n [\n -105.5717,\n 36.7339\n ],\n [\n -105.3914,\n 36.7339\n ],\n [\n -105.3914,\n 36.6539\n ],\n [\n -105.5717,\n 36.6539\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b32e4b07f02db6b4867","contributors":{"authors":[{"text":"McCleskey, R. Blaine 0000-0002-2521-8052 rbmccles@usgs.gov","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":147399,"corporation":false,"usgs":true,"family":"McCleskey","given":"R.","email":"rbmccles@usgs.gov","middleInitial":"Blaine","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":243932,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nordstrom, D. Kirk 0000-0003-3283-5136 dkn@usgs.gov","orcid":"https://orcid.org/0000-0003-3283-5136","contributorId":749,"corporation":false,"usgs":true,"family":"Nordstrom","given":"D.","email":"dkn@usgs.gov","middleInitial":"Kirk","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":243934,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Steiger, Judy I. jsteiger@usgs.gov","contributorId":3689,"corporation":false,"usgs":true,"family":"Steiger","given":"Judy","email":"jsteiger@usgs.gov","middleInitial":"I.","affiliations":[],"preferred":true,"id":243933,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kimball, Briant A. bkimball@usgs.gov","contributorId":533,"corporation":false,"usgs":true,"family":"Kimball","given":"Briant","email":"bkimball@usgs.gov","middleInitial":"A.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":243930,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Verplanck, Philip L. 0000-0002-3653-6419 plv@usgs.gov","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":728,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip","email":"plv@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":243931,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":53015,"text":"ofr03277 - 2003 - The U.S. Geological Survey streamflow and observation-well network in Massachusetts and Rhode Island","interactions":[],"lastModifiedDate":"2012-02-02T00:11:26","indexId":"ofr03277","displayToPublicDate":"2003-11-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2003-277","title":"The U.S. Geological Survey streamflow and observation-well network in Massachusetts and Rhode Island","docAbstract":"The U.S. Geological Survey began systematic streamflow monitoring in Massachusetts nearly 100 years ago (1904) on the Connecticut River at Montague City. Since that time, hydrologic data collection has evolved into a monitoring network of 103 streamgage stations and 200 ground-water observation wells in Massachusetts and Rhode Island (2000 water year). Data from this network provide critical information for a variety of purposes to Federal, State, and local government agencies, engineering consultants, and the public. The uses of this information have been enhanced by the fact that about 70 percent of the streamgage stations and a small but increasing number of observation wells in Massachusetts and Rhode Island have been equipped with digital collection platforms that transmit data by satellite every 4 hours. Twenty-one of the telemetered streamgage stations are also equipped with precipitation recorders. The near real-time data provided by these stations, along with historical data collected at all stations, are available over the Internet at no charge.\r\n\r\n The monitoring network operated during the 2000 water year was summarized and evaluated with respect to spatial distribution, the current uses of the data, and the physical characteristics associated with the monitoring sites. This report provides maps that show locations and summary tables for active continuous record streamgage stations, discontinued streamgage stations, and observation wells in each of the 28 major basins identified by the Massachusetts Executive Office of Environmental Affairs and five of the major Rhode Island basins. Metrics of record length, regulation, physiographic region and physical and land-cover characteristics indicate that the streamflow-monitoring network represents a wide range of drainage-area sizes, physiographic regions, and basin characteristics. Most streamgage stations are affected by regulation, which provides information for specific water-management purposes, but diminishes the usefulness of these stations for many types of hydrologic analysis. Only 26 of the 103 active streamgage stations operated by the U.S. Geological Survey in Massachusetts and Rhode Island are unaffected by regulation; of these, 17 are in Massachusetts and 9 are in Rhode Island. The paucity of unregulated stations is particularly evident when the stations are grouped into five drainage-area size classes; the fact that about half of these size classes have no representative unregulated stations underscores the importance of establishing and maintaining stations that are unaffected by regulation. The observation-well network comprises 200 wells; 80 percent of these wells are finished in sand and gravel, 19 percent are finished in till, and 1 percent are finished in bedrock. About 6 percent of the wells are equipped with continuous data recorders, and about half of these are capable of transmitting data in near real time.","language":"ENGLISH","doi":"10.3133/ofr03277","usgsCitation":"Zarriello, P.J., and Socolow, R.S., 2003, The U.S. Geological Survey streamflow and observation-well network in Massachusetts and Rhode Island: U.S. Geological Survey Open-File Report 2003-277, 120 p., https://doi.org/10.3133/ofr03277.","productDescription":"120 p.","costCenters":[],"links":[{"id":179353,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":5123,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/ofr03277/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db672c46","contributors":{"authors":[{"text":"Zarriello, Phillip J. 0000-0001-9598-9904 pzarriel@usgs.gov","orcid":"https://orcid.org/0000-0001-9598-9904","contributorId":1868,"corporation":false,"usgs":true,"family":"Zarriello","given":"Phillip","email":"pzarriel@usgs.gov","middleInitial":"J.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":246382,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Socolow, Roy S.","contributorId":65070,"corporation":false,"usgs":true,"family":"Socolow","given":"Roy","email":"","middleInitial":"S.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":false,"id":246383,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70185130,"text":"70185130 - 2003 - Airflows and turbulent flux measurements in mountainous terrain: Part 1. Canopy and local effects","interactions":[],"lastModifiedDate":"2018-11-14T10:58:27","indexId":"70185130","displayToPublicDate":"2003-10-30T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":681,"text":"Agricultural and Forest Meteorology","active":true,"publicationSubtype":{"id":10}},"title":"Airflows and turbulent flux measurements in mountainous terrain: Part 1. Canopy and local effects","docAbstract":"We have studied the effects of local topography and canopy structure on turbulent flux measurements at a site located in mountainous terrain within a subalpine, coniferous forest. Our primary aim was to determine whether the complex terrain of the site affects the accuracy of eddy flux measurements from a practical perspective. We observed displacement heights, roughness lengths, spectral peaks, turbulent length scales, and profiles of turbulent intensities that were comparable in magnitude and pattern to those reported for forest canopies in simpler terrain. We conclude that in many of these statistical measures, the local canopy exerts considerably more influence than does topographical complexity. Lack of vertical flux divergence and modeling suggests that the flux footprints for the site are within the standards acceptable for the application of flux statistics. We investigated three different methods of coordinate rotation: double rotation (DR), triple rotation (TR), and planar-fit rotation (PF). Significant variability in rotation angles at low wind speeds was encountered with the commonly used DR and TR methods, as opposed to the PF method, causing some overestimation of the fluxes. However, these differences in fluxes were small when applied to large datasets involving sensible heat and CO2 fluxes. We observed evidence of frequent drainage flows near the ground during stable, stratified conditions at night. Concurrent with the appearance of these flows, we observed a positive bias in the mean vertical wind speed, presumably due to subtle topographic variations inducing a flow convergence below the measurement sensors. In the presence of such drainage flows, advection of scalars and non-zero bias in the mean vertical wind speed can complicate closure of the mass conservation budget at the site.
","language":"English","publisher":"Elsevier","doi":"10.1016/S0168-1923(03)00136-9","usgsCitation":"Turnipseed, A.A., Anderson, D.E., Blanken, P.D., Baugh, W.M., and Monson, R.K., 2003, Airflows and turbulent flux measurements in mountainous terrain: Part 1. Canopy and local effects: Agricultural and Forest Meteorology, v. 119, no. 1-2, p. 1-21, https://doi.org/10.1016/S0168-1923(03)00136-9.","productDescription":"21 p. ","startPage":"1","endPage":"21","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":337607,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"119","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ca52d1e4b0849ce97c86d4","contributors":{"authors":[{"text":"Turnipseed, Andrew A.","contributorId":189304,"corporation":false,"usgs":false,"family":"Turnipseed","given":"Andrew","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":684458,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Dean E. deander@usgs.gov","contributorId":662,"corporation":false,"usgs":true,"family":"Anderson","given":"Dean","email":"deander@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":684459,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blanken, Peter D.","contributorId":189305,"corporation":false,"usgs":false,"family":"Blanken","given":"Peter","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":684460,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baugh, William M.","contributorId":189306,"corporation":false,"usgs":false,"family":"Baugh","given":"William","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":684461,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Monson, Russell K.","contributorId":48136,"corporation":false,"usgs":true,"family":"Monson","given":"Russell","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":684462,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":52914,"text":"wri034120 - 2003 - Main-channel slopes of selected streams in Iowa for estimation of flood-frequency discharges","interactions":[],"lastModifiedDate":"2016-02-03T13:36:09","indexId":"wri034120","displayToPublicDate":"2003-10-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2003-4120","title":"Main-channel slopes of selected streams in Iowa for estimation of flood-frequency discharges","docAbstract":"This report describes a statewide study conducted to develop main-channel slope (MCS) curves for 138 selected streams in Iowa with drainage areas greater than 100 square miles. MCS values determined from the curves can be used in regression equations for estimating floodfrequency discharges. Multivariable regression equations previously developed for two of the three hydrologic regions defined for Iowa require the measurement of MCS. Main-channel slope is a difficult measurement to obtain for large streams using 1:24,000-scale topographic maps. The curves developed in this report provide a simplified method for determining MCS values for sites located along large streams in Iowa within hydrologic Regions 2 and 3. The curves were developed using MCS values quantified for 2,058 selected sites along 138 selected streams in Iowa. A geographic information system (GIS) technique and 1:24,000-scale topographic data were used to quantify MCS values for the stream sites. The sites were selected at about 5-mile intervals along the streams. River miles were quantified for each stream site using a GIS program. Data points for river-mile and MCS values were plotted and a best-fit curve was developed for each stream. An adjustment was applied to all 138 curves to compensate for differences in MCS values between manual measurements and GIS quantifications. The multivariable equations for Regions 2 and 3 were developed using manual measurements of MCS. A comparison of manual measurements and GIS quantifications of MCS indicates that manual measurements typically produce greater values of MCS compared to GIS quantifications. Median differences between manual measurements and GIS quantifications of MCS are 14.8 and 17.7 percent for Regions 2 and 3, respectively. Comparisons of percentage differences between flood-frequency discharges calculated using MCS values of manual measurements and GIS quantifications indicate that use of GIS values of MCS for Region 3 substantially underestimate flood discharges. Mean and median percentage differences for 2- to 500-year recurrence- interval flood discharges ranged from 5.0 to 5.3 and 4.3 to 4.5 percent, respectively, for Region 2 and ranged from 18.3 to 27.1 and 12.3 to 17.3 percent for Region 3. The MCS curves developed from GIS quantifications were adjusted by 14.8 percent for streams located in Region 2 and by 17.7 percent for streams located in Region 3. Comparisons of percentage differences between flood discharges calculated using MCS values of manual measurements and adjusted-GIS quantifications for Regions 2 and 3 indicate that the flood-discharge estimates are comparable. For Region 2, mean percentage differences for 2- to 500-year recurrence- interval flood discharges ranged between 0.6 and 0.8 percent and median differences were 0.0 percent. For Region 3, mean and median differences ranged between 5.4 to 8.4 and 0.0 to 0.3 percent, respectively. A list of selected stream sites presented with each curve provides information about the sites including river miles, drainage areas, the location of U.S. Geological Survey streamflowgaging stations, and the location of streams crossing hydrologic region boundaries or the Des Moines Lobe landform region boundary. Two examples are presented for determining river-mile and MCS values, and two techniques are presented for computing flood-frequency discharges.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/wri034120","usgsCitation":"Eash, D.A., 2003, Main-channel slopes of selected streams in Iowa for estimation of flood-frequency discharges: U.S. Geological Survey Water-Resources Investigations Report 2003-4120, vi, 215 p. : ill., maps. (some color) ; 28 cm., https://doi.org/10.3133/wri034120.","productDescription":"vi, 215 p. : ill., maps. (some color) ; 28 cm.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":87040,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/2003/4120/report.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":126703,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/2003/4120/report-thumb.jpg"}],"country":"United States","state":"Iowa","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-91.217706,43.50055],[-91.216035,43.481142],[-91.233367,43.455168],[-91.200359,43.412701],[-91.198953,43.389835],[-91.21477,43.365874],[-91.20662,43.352524],[-91.132813,43.32803],[-91.107237,43.313645],[-91.07371,43.274746],[-91.071698,43.261014],[-91.058644,43.257679],[-91.066398,43.239293],[-91.12217,43.197255],[-91.1462,43.152405],[-91.1562,43.142945],[-91.175253,43.134665],[-91.179457,43.067427],[-91.156562,42.978226],[-91.14543,42.958211],[-91.14988,42.941955],[-91.1438,42.922877],[-91.146177,42.90985],[-91.100565,42.883078],[-91.097656,42.859871],[-91.091837,42.851225],[-91.09406,42.830813],[-91.078665,42.827678],[-91.069549,42.769628],[-91.060261,42.761847],[-91.065783,42.753387],[-91.056297,42.747341],[-91.051275,42.737001],[-91.035418,42.73734],[-91.026786,42.724228],[-91.000128,42.716189],[-90.977735,42.696816],[-90.949213,42.685573],[-90.923634,42.6855],[-90.88743,42.67247],[-90.731132,42.643437],[-90.706303,42.634169],[-90.692031,42.610366],[-90.686975,42.591774],[-90.661527,42.567999],[-90.654127,42.5499],[-90.643927,42.540401],[-90.636927,42.513202],[-90.655927,42.491703],[-90.654027,42.478503],[-90.624328,42.458904],[-90.567968,42.440389],[-90.560439,42.432897],[-90.555018,42.416138],[-90.477279,42.383794],[-90.462619,42.367253],[-90.443874,42.355218],[-90.416535,42.325109],[-90.430884,42.27823],[-90.419326,42.254467],[-90.400653,42.239293],[-90.391108,42.225473],[-90.356964,42.205445],[-90.328273,42.201047],[-90.282173,42.178846],[-90.234919,42.165431],[-90.209479,42.15268],[-90.197342,42.128163],[-90.167533,42.122475],[-90.161159,42.106372],[-90.168358,42.075779],[-90.164485,42.042105],[-90.151579,42.030633],[-90.140061,42.003252],[-90.146225,41.981329],[-90.164135,41.956178],[-90.163847,41.944934],[-90.152659,41.933058],[-90.153584,41.906614],[-90.181401,41.844647],[-90.181973,41.80707],[-90.278633,41.767358],[-90.310708,41.742214],[-90.317668,41.72269],[-90.313435,41.698082],[-90.334525,41.679559],[-90.343452,41.646959],[-90.339528,41.598633],[-90.343228,41.587833],[-90.41283,41.565333],[-90.461432,41.523533],[-90.500633,41.518033],[-90.540935,41.526133],[-90.591037,41.512832],[-90.602137,41.506032],[-90.605937,41.494232],[-90.655839,41.462132],[-90.750142,41.449632],[-90.846558,41.455141],[-90.930016,41.421404],[-90.979815,41.434321],[-91.027787,41.423603],[-91.043988,41.415897],[-91.05101,41.387556],[-91.06652,41.365246],[-91.074841,41.305578],[-91.092034,41.286911],[-91.114186,41.250029],[-91.113648,41.241401],[-91.07298,41.207151],[-91.041536,41.166138],[-91.027214,41.163373],[-91.007586,41.166183],[-90.99496,41.160624],[-90.946627,41.096632],[-90.949383,41.072711],[-90.942253,41.034702],[-90.945949,41.006495],[-90.958142,40.979767],[-90.952233,40.954047],[-90.965344,40.921633],[-91.009536,40.900565],[-91.021562,40.884021],[-91.044653,40.868356],[-91.05643,40.848387],[-91.092993,40.821079],[-91.097649,40.805575],[-91.091703,40.779708],[-91.110424,40.745528],[-91.115735,40.725168],[-91.11194,40.697018],[-91.123928,40.669152],[-91.185428,40.638071],[-91.253074,40.637962],[-91.306524,40.626231],[-91.339719,40.613488],[-91.359873,40.601805],[-91.379752,40.57445],[-91.401482,40.559458],[-91.406373,40.551831],[-91.404125,40.539127],[-91.384531,40.530948],[-91.369059,40.512532],[-91.364211,40.500043],[-91.364915,40.484168],[-91.381769,40.442555],[-91.372554,40.4012],[-91.381958,40.387632],[-91.419422,40.378264],[-91.441243,40.386255],[-91.452458,40.375501],[-91.463895,40.375659],[-91.465116,40.385257],[-91.484507,40.3839],[-91.490977,40.393484],[-91.487829,40.403866],[-91.498093,40.401926],[-91.522333,40.409648],[-91.527057,40.416689],[-91.519012,40.431298],[-91.529132,40.434272],[-91.533548,40.440804],[-91.523271,40.450061],[-91.526155,40.458625],[-91.552691,40.458769],[-91.574746,40.465664],[-91.590817,40.492292],[-91.621353,40.510072],[-91.618028,40.53403],[-91.6219,40.542292],[-91.6887,40.55739],[-91.691557,40.564867],[-91.686357,40.580875],[-91.716769,40.59853],[-91.729115,40.61364],[-92.686693,40.589809],[-94.294813,40.571341],[-94.632032,40.571186],[-95.765645,40.585208],[-95.753148,40.59284],[-95.748626,40.603355],[-95.768926,40.621264],[-95.776251,40.647463],[-95.795489,40.662384],[-95.822913,40.66724],[-95.842801,40.677496],[-95.852615,40.702262],[-95.883178,40.717579],[-95.888907,40.731855],[-95.879027,40.753081],[-95.84662,40.768619],[-95.835232,40.779151],[-95.834523,40.787778],[-95.845342,40.811324],[-95.837186,40.835347],[-95.847084,40.854174],[-95.847785,40.864328],[-95.838735,40.872191],[-95.815933,40.879846],[-95.809474,40.891228],[-95.813458,40.901693],[-95.836438,40.921642],[-95.839743,40.93278],[-95.829074,40.975688],[-95.838908,40.986484],[-95.867286,41.001599],[-95.869486,41.009399],[-95.859918,41.025403],[-95.859654,41.035695],[-95.882415,41.060411],[-95.862587,41.088399],[-95.865888,41.117898],[-95.882088,41.143998],[-95.883489,41.154898],[-95.871912,41.168122],[-95.846188,41.166698],[-95.841288,41.174998],[-95.856788,41.187098],[-95.90969,41.184398],[-95.91829,41.186698],[-95.92599,41.195698],[-95.924891,41.211198],[-95.910891,41.231798],[-95.921891,41.264598],[-95.913991,41.271398],[-95.928691,41.281398],[-95.927491,41.298397],[-95.90589,41.300897],[-95.90429,41.293497],[-95.912491,41.279498],[-95.90249,41.273398],[-95.87689,41.285097],[-95.871489,41.295797],[-95.883089,41.316697],[-95.92569,41.322197],[-95.946891,41.334096],[-95.956691,41.345496],[-95.954891,41.351796],[-95.93549,41.360596],[-95.92879,41.370096],[-95.93689,41.396387],[-95.929721,41.411331],[-95.933169,41.42943],[-95.919865,41.447922],[-95.922529,41.455766],[-95.936801,41.46519],[-95.962329,41.46281],[-96.011757,41.476212],[-96.019542,41.486617],[-95.997903,41.504789],[-95.992599,41.514174],[-95.999529,41.538679],[-96.005079,41.544004],[-96.019686,41.545743],[-96.027289,41.541081],[-96.034305,41.512853],[-96.040701,41.507076],[-96.05369,41.508859],[-96.07307,41.525052],[-96.08822,41.530595],[-96.09409,41.539265],[-96.093613,41.558271],[-96.081152,41.577289],[-96.085771,41.585746],[-96.109387,41.596871],[-96.117558,41.609999],[-96.116233,41.621574],[-96.100701,41.635507],[-96.095046,41.647365],[-96.099837,41.66103],[-96.120983,41.677861],[-96.121401,41.688522],[-96.111968,41.697773],[-96.082429,41.698159],[-96.073063,41.705004],[-96.079682,41.717962],[-96.10261,41.728016],[-96.106425,41.73789],[-96.102772,41.746339],[-96.079915,41.757895],[-96.077543,41.777824],[-96.064537,41.793002],[-96.075548,41.807811],[-96.107592,41.820685],[-96.110246,41.84885],[-96.142045,41.868865],[-96.148826,41.888132],[-96.161756,41.90182],[-96.160767,41.908044],[-96.136743,41.920826],[-96.144583,41.941544],[-96.133318,41.955732],[-96.1289,41.969727],[-96.141228,41.978063],[-96.156538,41.980137],[-96.184243,41.976696],[-96.192141,41.984461],[-96.183568,41.999987],[-96.194556,42.008662],[-96.215225,42.006701],[-96.223896,41.995456],[-96.236487,41.996428],[-96.241932,42.006965],[-96.223611,42.022652],[-96.223822,42.033346],[-96.238392,42.041088],[-96.261132,42.038974],[-96.271427,42.044988],[-96.279342,42.07028],[-96.267636,42.096177],[-96.2689,42.11359],[-96.279203,42.12348],[-96.310085,42.132523],[-96.319528,42.146647],[-96.342395,42.160491],[-96.349688,42.172043],[-96.348066,42.194747],[-96.35987,42.210545],[-96.358141,42.214088],[-96.336323,42.218922],[-96.323723,42.229887],[-96.330004,42.240224],[-96.328905,42.254734],[-96.336003,42.264806],[-96.365792,42.285875],[-96.369212,42.308344],[-96.375307,42.318339],[-96.407998,42.337408],[-96.417786,42.351449],[-96.417093,42.361443],[-96.408436,42.376092],[-96.41498,42.393442],[-96.413609,42.407894],[-96.387608,42.432494],[-96.380707,42.446394],[-96.385407,42.473094],[-96.396107,42.484095],[-96.409408,42.487595],[-96.474409,42.491895],[-96.476909,42.497795],[-96.473339,42.503537],[-96.477454,42.509589],[-96.490089,42.512441],[-96.49297,42.517282],[-96.479909,42.524195],[-96.476952,42.556079],[-96.498041,42.558153],[-96.498709,42.57087],[-96.489328,42.5708],[-96.485796,42.575001],[-96.49545,42.579474],[-96.494777,42.585741],[-96.499885,42.588539],[-96.509468,42.61273],[-96.517048,42.615343],[-96.525671,42.609312],[-96.531604,42.615148],[-96.518542,42.62035],[-96.516338,42.630435],[-96.537881,42.646446],[-96.542366,42.660736],[-96.559281,42.657903],[-96.556461,42.663939],[-96.566684,42.675942],[-96.576381,42.671302],[-96.575299,42.682665],[-96.596405,42.688514],[-96.59908,42.697296],[-96.61017,42.694568],[-96.629625,42.705102],[-96.624446,42.714294],[-96.624704,42.725497],[-96.631931,42.725086],[-96.638621,42.734921],[-96.630485,42.750378],[-96.620548,42.753534],[-96.620272,42.757124],[-96.632212,42.761512],[-96.633168,42.768325],[-96.61949,42.784034],[-96.604559,42.783034],[-96.595283,42.792982],[-96.590757,42.808255],[-96.596008,42.815044],[-96.585699,42.818041],[-96.577937,42.827645],[-96.581604,42.837521],[-96.571353,42.837155],[-96.565605,42.830434],[-96.560572,42.839373],[-96.552092,42.836057],[-96.549513,42.839143],[-96.554709,42.846142],[-96.545502,42.849956],[-96.54146,42.857682],[-96.550439,42.863171],[-96.549659,42.870281],[-96.537851,42.878475],[-96.540396,42.888877],[-96.526563,42.893755],[-96.542847,42.903737],[-96.537354,42.908791],[-96.541689,42.922576],[-96.525536,42.935511],[-96.516203,42.933769],[-96.52012,42.938183],[-96.500308,42.959391],[-96.505028,42.970844],[-96.515922,42.972886],[-96.520773,42.980385],[-96.512237,42.985937],[-96.509986,42.995126],[-96.49782,42.998143],[-96.49167,43.009707],[-96.499187,43.019213],[-96.510995,43.024701],[-96.509146,43.03668],[-96.518431,43.042068],[-96.510256,43.049917],[-96.490365,43.050789],[-96.476905,43.062383],[-96.463094,43.062981],[-96.458201,43.067554],[-96.454188,43.083379],[-96.462636,43.089614],[-96.460516,43.09494],[-96.436589,43.120842],[-96.450361,43.142237],[-96.458854,43.143356],[-96.466537,43.150281],[-96.464896,43.182034],[-96.473834,43.189804],[-96.470781,43.205099],[-96.475571,43.221054],[-96.496454,43.223652],[-96.519273,43.21769],[-96.535741,43.22764],[-96.56044,43.224219],[-96.568505,43.231554],[-96.571194,43.238961],[-96.552963,43.247281],[-96.552591,43.257769],[-96.582904,43.26769],[-96.586317,43.274319],[-96.577588,43.2788],[-96.580346,43.298204],[-96.553087,43.29286],[-96.530392,43.300034],[-96.526004,43.309999],[-96.534913,43.336473],[-96.524289,43.347214],[-96.527345,43.368109],[-96.521323,43.374607],[-96.521572,43.38564],[-96.524044,43.394762],[-96.529152,43.397735],[-96.537116,43.395063],[-96.573579,43.419228],[-96.569628,43.427527],[-96.575181,43.431756],[-96.592905,43.43317],[-96.602608,43.449649],[-96.600039,43.45708],[-96.584603,43.46961],[-96.586364,43.478251],[-96.580997,43.481384],[-96.590452,43.494298],[-96.598396,43.495074],[-96.598929,43.500441],[-91.217706,43.50055]]]},\"properties\":{\"name\":\"Iowa\",\"nation\":\"USA \"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a80e4b07f02db64969d","contributors":{"authors":[{"text":"Eash, David A. 0000-0002-2749-8959 daeash@usgs.gov","orcid":"https://orcid.org/0000-0002-2749-8959","contributorId":1887,"corporation":false,"usgs":true,"family":"Eash","given":"David","email":"daeash@usgs.gov","middleInitial":"A.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":246217,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ]}