Yosemite National Park, located in the central Sierra Nevada in California, is an icon of the U.S. National Park system. It is famous for its many spectacular geologic features, which include the towering cliffs and hanging waterfalls of Yosemite Valley and the rounded granite domes, deep blue lakes, and jagged peaks and spires of the high country. More subtle but just as spectacular are the vast areas of polished granite, linear scratches, and isolated boulders scattered across the landscape. All of these features owe their origin, at least in part, to glaciers. Glaciers originating at the crest of the Sierra Nevada flowed down preexisting river canyons numerous times throughout the Quaternary Period (the past 2.6 million years). Although the field evidence for past glaciations is necessarily incomplete, at least seven distinct glacial periods have been identified in the Sierra Nevada, spanning a minimum of 1.5 million years.
This map shows the extent of alpine icefields and associated valley glaciers in Yosemite National Park and vicinity during the most recent large glaciation, known as the Last Glacial Maximum, a globally recognized cold period characterized by low sea levels and the growth of ice sheets and mountain glaciers. In the Sierra Nevada, the Last Glacial Maximum glaciation is referred to as the Tioga glaciation. By virtue of being the most recent of the large Pleistocene glaciations, the evidence for the Tioga glaciation is abundant and relatively well preserved in the Yosemite landscape. The Tioga glaciation likely involved at least two, and perhaps as many as four, major glacial advances spanning the interval from approximately 27,000 to 15,000 years ago; the largest of these, representing the maximum ice extent shown on the map, occurred from approximately 21,000 to 18,000 years ago. Although it is possible that the various Tioga-age glaciers in the study area attained their maximum extents at slightly different times during the Last Glacial Maximum, for the purposes of this map we assume that they reached their maximum extents simultaneously. The maximum ice extent shown here may have occupied certain areas only briefly.
During the maximum extent of the Tioga glaciation, glaciers and ice fields covered most areas in and around Yosemite National Park above 2,700 meters elevation, having a profound impact on the Yosemite landscape. In addition to sculpting most of the granite monoliths for which the park is famous, glaciation also dictated the distribution of many geological, hydrological, and ecological features. Thus, the lasting effects of Tioga glaciation are still readily observable in Yosemite National Park today.
Geology, Minerals, Energy and Geophysics Science Center
U.S. Geological Survey
345 Middlefield Road
Mail Stop 973
Menlo Park, CA 94025
In 2015, the U.S. Geological Survey began a 1-year hydrologic study to investigate the extent and cause of inundation at Farm Creek Marsh, in Dorchester County, Maryland. In combination with a tide and precipitation gage, a representative section of the marsh was instrumented with surface-water monitors and shallow groundwater piezometers to capture the spatial and temporal extent of inundation. In addition, water-quality data (major ions and nutrients) were collected to help discern the cause of inundation. Results indicate that during the year-long study, all sites were periodically inundated, ranging from a total of 108 days to the entire study period of 353 days. The depth of inundation was typically between 0 and 0.2 feet (ft) (above land surface), with the exception of large storm events. Less than 0.5 ft of elevation was the difference between a site being inundated during the entire study period of 353 days and a site being inundated for 36 consecutive days out of 108 total days of inundation during the study period. Water-quality data showed a large difference in pH between marsh surface water (6.1 to 6.9 standard pH units) and shallow groundwater (3.0 to 3.6 standard pH units), with differences also observed in concentrations of silica, iron, manganese, and potassium. Collectively, the combination of water-quality, hydrologic, and soils data indicate that inundation is caused by tide and storm events rather than groundwater discharge.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195032","collaboration":"Prepared in cooperation with The Conservation Fund and Audubon Maryland-DC","usgsCitation":"Walker, C.W., Lester, T.R., and Nealen, C.W., 2019, Hydrologic study at Farm Creek Marsh, Dorchester County, Maryland, from April 2015 to April 2016: U.S. Geological Survey Scientific Investigations Report 2019–5032, 12 p., https://doi.org/10.3133/sir20195032.","productDescription":"iv, 12 p.","onlineOnly":"Y","ipdsId":"IP-084533","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":365336,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5032/sir20195032.pdf","text":"Report","size":"5.56 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5032"},{"id":365333,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5032/coverthb.jpg"}],"country":"United States","state":"Maryland","county":"Dorchester County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.343994140625,\n 38.10754709314396\n ],\n [\n -75.69168090820312,\n 38.10754709314396\n ],\n [\n -75.69168090820312,\n 38.70694605159386\n ],\n [\n -76.343994140625,\n 38.70694605159386\n ],\n [\n -76.343994140625,\n 38.10754709314396\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, MD-DE-DC Water Science Center
U.S. Geological Survey
5522 Research Park Drive
Baltimore, MD 21228
Methods to quantify solar insolation in riparian landscapes are needed due to the importance of stream temperature to aquatic biota. We have tested three lidar predictors using two approaches developed for other applications of estimating solar insolation from airborne lidar using field data collected in a heavily forested narrow stream in western Oregon, USA. We show that a raster methodology based on the light penetration index (LPI) and a synthetic hemispherical photograph approach both accurately predict solar insolation, explaining more than 73 % of the variability observed in pyranometers placed in the stream channel. We apply the LPI-based model to predict solar insolation for an entire riparian system and demonstrate that no field-based calibration is necessary to produce an unbiased prediction of solar insolation using airborne lidar alone.
An automated disc infiltrometer was developed to improve the measurements of soil hydraulic properties (saturated hydraulic conductivity and sorptivity) of soils affected by wildfire. Guidelines are given for interpreting curves showing cumulative infiltration as a function of time measured by the autodisc. The autodisc was used to measure the variability of these soil hydraulic properties in three different sample sets: (a) a reference soil consisting of a nonrepellent, uniform, fine sand; (b) soils with the same soil textural classification derived from the same bedrock geology but having different initial burn severities; and (c) soils from different bedrock geology but having the same burn severity. The autodisc infiltrometer had greater sampling rates and volume resolution when compared with the visual minidisc infiltrometer from previous studies. There was no statistical difference in the mean values measured using the autodisc and visual minidisc, but the variability of the autodisc measurements was significantly less than the visual minidisc for a given set of samples. The greatest variability of soil hydraulic properties in reference samples with uniform particle size was attributed to different pore geometries (coefficient of variation [COV] = 0.28–0.34). Unburned field samples (same soil type) with heterogeneous particle sizes had greater variability (COV = 0.57–0.78) than the reference samples. However, this basic variability decreased or remained constant in these field samples as burn severity increased. Additional sources of variability (COV = 0.53–1.99) were attributed to multiple layers resulting from ash or sediment deposition. Results indicate that resolving differences in soil hydraulic properties from different sites requires more than the common 10 random samples because of the multiple sources of variability.
Wastewater disposal associated with rapid population growth and development on Cape Cod, Massachusetts, during the past several decades has resulted in widespread contamination of groundwater with nitrogen. As a result, water quality in many of the streams, lakes, and coastal embayments on Cape Cod is impaired by excess nitrogen. To reduce nitrogen loads to these impaired water bodies, watershed-based planning is currently [2019] underway following a regional strategy, the section 208 areawide water-quality management plan update for Cape Cod. In the updated plan, traditional (sewering) and alternative wastewater management options are under consideration for restoring water quality in impaired surface-water bodies. Permeable reactive barriers, which are reactive zones emplaced below the water table for passive treatment of groundwater contaminants, are one of the alternatives being considered by Cape Cod towns as a potentially cost-effective technology for the removal of nitrogen from groundwater. However, the effectiveness of permeable reactive barriers depends on local conditions, and site-specific hydrologic and water-quality data are needed to inform the decision to install a permeable reactive barrier in a given location. These data are not available in most locations on Cape Cod; consequently, site assessments are needed before selecting this treatment option.
To address this need, the U.S. Environmental Protection Agency, U.S. Geological Survey, and Cape Cod Commission formed a technical team in 2015 to develop and evaluate a hydrologic site-assessment approach for permeable reactive barrier installation. The approach developed by the technical team includes a preliminary regional assessment followed by a phased onsite investigation. The approach was intended to provide the hydrologic data needed to make informed decisions on site suitability and to support installation and monitoring should the site be deemed appropriate for a permeable reactive barrier. The factors that were evaluated to characterize local hydrologic conditions and inform site selection included groundwater flow directions and rates, depth to the water table, hydraulic conductivity and degree of heterogeneity of the aquifer, spatial distribution and concentration of nitrate and oxidation-reduction-sensitive constituents, thickness and depth of the treatment zone, distance to downgradient water bodies, and access for drilling and permeable reactive barrier installation. The approach was demonstrated on Cape Cod by conducting a preliminary assessment of 27 sites, from which 5 sites were selected for onsite investigations. Results indicated that the site-assessment approach was successful for screening sites and characterizing the geologic, hydrologic, and water-quality conditions at the sites selected for onsite investigations. Overall, the phased assessment evaluated in this study provided an efficient means of obtaining the hydrologic information needed to determine if a site was suitable for permeable reactive barrier installation on Cape Cod for the passive treatment of nitrogen in groundwater.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195047","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Barbaro, J.R., Belaval, M., Truslow, D.B., LeBlanc, D.R., Cambareri, T.C., and Michaud, S.C., 2019, Hydrologic site assessment for passive treatment of groundwater nitrogen with permeable reactive barriers, Cape Cod, Massachusetts: U.S. Geological Survey Scientific Investigations Report 2019–5047, 39 p., https://doi.org/10.3133/sir20195047.","productDescription":"viii, 39 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-104222","costCenters":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":365261,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5047/coverthb.jpg"},{"id":365262,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5047/sir20195047.pdf","text":"Report","size":"2.58 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5047"}],"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 -70.24932861328125,\n 42.06356771883277\n ],\n [\n -70.2081298828125,\n 42.02481360781777\n ],\n [\n -70.1806640625,\n 42.01665183556825\n ],\n [\n -70.16693115234375,\n 42.032974332441405\n ],\n [\n -70.18890380859375,\n 42.04317376494972\n ],\n [\n -70.16143798828125,\n 42.06356771883277\n ],\n [\n -70.11199951171875,\n 42.04113400940807\n ],\n [\n -70.07904052734375,\n 41.92475971933975\n ],\n [\n -70.0653076171875,\n 41.89818843043047\n ],\n [\n -70.0543212890625,\n 41.920672548686824\n ],\n [\n -70.02960205078125,\n 41.92271616673922\n ],\n [\n -70.0213623046875,\n 41.887965758804484\n ],\n [\n -70.00762939453125,\n 41.81021999190292\n ],\n [\n -70.07080078125,\n 41.777456667491066\n ],\n [\n -70.125732421875,\n 41.76106872528616\n ],\n [\n -70.16693115234375,\n 41.75492216766298\n ],\n [\n -70.20263671875,\n 41.748775021355044\n ],\n [\n -70.257568359375,\n 41.7180304600481\n ],\n [\n -70.279541015625,\n 41.72828028223453\n ],\n [\n -70.345458984375,\n 41.74262728637672\n ],\n [\n -70.44158935546875,\n 41.75287318430239\n ],\n [\n -70.49102783203125,\n 41.77336007442076\n ],\n [\n -70.55145263671875,\n 41.775408403663285\n ],\n [\n -70.587158203125,\n 41.748775021355044\n ],\n [\n -70.6201171875,\n 41.73647896274239\n ],\n [\n -70.65582275390625,\n 41.68316883525891\n ],\n [\n -70.6475830078125,\n 41.64213096472801\n ],\n [\n -70.653076171875,\n 41.60312076451184\n ],\n [\n -70.64208984375,\n 41.57436130598913\n ],\n [\n -70.78765869140625,\n 41.47771800887871\n ],\n [\n -70.94146728515625,\n 41.42625319507269\n ],\n [\n -70.94970703125,\n 41.409775832009565\n ],\n [\n -70.86181640625,\n 41.41801503608024\n ],\n [\n -70.784912109375,\n 41.4509614012039\n ],\n [\n -70.653076171875,\n 41.51680395810118\n ],\n [\n -70.6201171875,\n 41.541477666790286\n ],\n [\n -70.5487060546875,\n 41.53531012183376\n ],\n [\n -70.48828125,\n 41.54764462357737\n ],\n [\n -70.4443359375,\n 41.588742636696765\n ],\n [\n -70.43060302734375,\n 41.60517452129933\n ],\n [\n -70.39764404296875,\n 41.60722821271717\n ],\n [\n -70.367431640625,\n 41.61749568924243\n ],\n [\n -70.3125,\n 41.6257084937525\n ],\n [\n -70.26580810546875,\n 41.60928183876483\n ],\n [\n -70.24108886718749,\n 41.6257084937525\n ],\n [\n -70.17791748046875,\n 41.65239288426814\n ],\n [\n -70.13946533203124,\n 41.65034063112266\n ],\n [\n -70.06805419921875,\n 41.66470503009207\n ],\n [\n -70.015869140625,\n 41.668808555620586\n ],\n [\n -69.98016357421875,\n 41.65239288426814\n ],\n [\n -70.0103759765625,\n 41.566141964768384\n ],\n [\n -70.0103759765625,\n 41.539421883822854\n ],\n [\n -69.9884033203125,\n 41.54764462357737\n ],\n [\n -69.98016357421875,\n 41.59490508367679\n ],\n [\n -69.92523193359375,\n 41.68316883525891\n ],\n [\n -69.93072509765625,\n 41.81431422987254\n ],\n [\n -69.97467041015625,\n 41.94927724511655\n ],\n [\n -70.048828125,\n 42.039094188385945\n ],\n [\n -70.13397216796875,\n 42.07783959017503\n ],\n [\n -70.21087646484375,\n 42.08803181932636\n ],\n [\n -70.24932861328125,\n 42.06356771883277\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New England Water Science Center
U.S. Geological Survey
331 Commerce Road, Suite 2
Pembroke, NH 03275-3718
In early November, 2006, an atmospheric river brought heavy rainfall and high freezing levels to the Pacific Northwest. Without snowpack to buffer the hydrologic response, the storm caused widespread landslides and debris flows in drainages sourced from every central Cascades volcano. At Mount St. Helens, in southwestern Washington State, intense rainfall in the crater of the volcano caused at least two mass failures with an aggregate volume of 4.5 million m3, which spawned a series of debris flows with velocities as great as 11 m/s. The debris flows incised Loowit Creek as much as 9 m and traveled 16 river km before transforming to hyperconcentrated flow via rapid dilution at the confluence of North Fork Toutle River (NFT), Castle Creek, and Maratta Creek (Figure 1). Reduced channel gradient downstream lowered velocity enough to transform to sediment-laden streamflow less than 40 km from the source, where suspended-sediment concentration (SSC) peaked at 177,000 mg/L. Heavy rain persisted for several days, producing over 100 cm of rainfall in upper NFT basin which caused immediate remobilization of surface deposits; half of the annual suspended-sediment discharge (SSQ) for water year (WY) 2007 was transported in 5 days, despite a relatively low 7-year flood recurrence interval. This analysis expands upon Major et al. (2005), Pitlick et al. (2007), and Olsen (2011) to document the largest suite of rainfall-triggered debris flows identified to date at Mount St. Helens. We investigate debris flow initiation, velocity, deposition, and downstream sediment flux in the NFT basin by integrating data from near real-time monitoring stations, remote sensing, terrestrial surveying, and fluvial sediment samples.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of SEDHYD 2019","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"SEDHYD 2019 Conference","conferenceDate":"June 24-28, 2019","conferenceLocation":"Reno, NV","language":"English","publisher":"Federal Interagency Sedimentation Conference (FISC) and Federal Interagency Hydrologic Modeling Conference (FIHMC)","usgsCitation":"Mosbrucker, A.R., Spicer, K.R., and Major, J.J., 2019, Toutle River debris flows initiated by atmospheric rivers: November 2006, in Proceedings of SEDHYD 2019, v. 1, Reno, NV, June 24-28, 2019, 6 p.","productDescription":"6 p.","ipdsId":"IP-106542","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":368660,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.sedhyd.org/2019/#sedhyd-2019-proceedings"},{"id":368661,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"North Fork Toutle River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.61360168457033,\n 46.21737666278269\n ],\n [\n -122.03269958496092,\n 46.21737666278269\n ],\n [\n -122.03269958496092,\n 46.38483322349276\n ],\n [\n -122.61360168457033,\n 46.38483322349276\n ],\n [\n -122.61360168457033,\n 46.21737666278269\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mosbrucker, Adam R. 0000-0003-0298-0324 amosbrucker@usgs.gov","orcid":"https://orcid.org/0000-0003-0298-0324","contributorId":4968,"corporation":false,"usgs":true,"family":"Mosbrucker","given":"Adam","email":"amosbrucker@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":760359,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spicer, Kurt R. 0000-0001-5030-3198 krspicer@usgs.gov","orcid":"https://orcid.org/0000-0001-5030-3198","contributorId":2684,"corporation":false,"usgs":true,"family":"Spicer","given":"Kurt","email":"krspicer@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":773984,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Major, Jon J. 0000-0003-2449-4466 jjmajor@usgs.gov","orcid":"https://orcid.org/0000-0003-2449-4466","contributorId":439,"corporation":false,"usgs":true,"family":"Major","given":"Jon","email":"jjmajor@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":773985,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70203891,"text":"70203891 - 2019 - Integrated hydrologic modeling of the Salinas River, California, for sustainable water management","interactions":[],"lastModifiedDate":"2022-01-12T15:30:43.909015","indexId":"70203891","displayToPublicDate":"2019-07-01T11:16:49","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Integrated hydrologic modeling of the Salinas River, California, for sustainable water management","docAbstract":"The Salinas River is the largest river in California’s Central Coast region. Groundwater resources of the Salinas River basin are used to meet water supply needs, including crop irrigation and municipal water supply. Two large multipurpose reservoirs also supply irrigation and municipal water uses. Historical imbalances between supply and demand have resulted in sinking groundwater levels, seawater intrusion, regulatory actions on pumping, adjudication, and requirements for minimum in-stream fish flows. Present needs include finding replacement water supplies and improving watershed management to comply with legal mandates, adapt to future climate variability and landuse conversions, and improve environmental conditions. The Salinas Valley Integrated Hydrologic Model (SVIHM) was developed to help water managers evaluate and adjust to projected impacts on water supplies and demands in the Salinas Valley watershed caused by changes in land use, population, and climate. The SVIHM includes four modeling components: (1) the Basin Characterization Model (BCM), (2) the Hydrologic Simulation Program – FORTRAN (HSPF), (3) MODFLOW - One Water Hydrologic Model (MF-OWHM), and (4) the Surface Water Operations (SWO) package. The BCM and HSPF components compose the Salinas Valley Watershed Model (SVWM). The 4,530 square-mile (mi2) SVWM domain encompasses the entire Salinas River watershed, as well as coastal drainages adjacent to the Salinas River outflow, and includes two separate and connected HSPF model domains, the 2,540 mi2 upper Salinas River and the 1,990 mi2 lower Salinas River models. SVWM (1) simulates the water budget for the entire Salinas River basin containing both the SVIHM domain as well as the mountainous terrain of the tributary headwater areas not included in the SVIHM; and (2) was used to develop the 148 boundary inflows for the SVIHM. Simulated evapotranspiration (ET) is the largest component of the water budget after precipitation, with a 71-year average basin-wide ET of 13.9 in/yr, compared to the basin-wide average precipitation of 18.4 in/yr. Simulated ET ranges from 15 to 29 in/yr along the western side of the SVWM to less than 10 in/yr throughout the valley floor and in the southeast part of the Salinas River watershed. The simulated total 71-year average inflow to the SVIHM was 890 ft3/sec (about 640,000 acre-feet per year), with the highest average inflow of 270 ft3/sec simulated for the Nacimiento River; whereas, the simulated 71-year average streamflow at the mouth of the Salinas River was only about 190 ft3/sec, indicating that most of the streamflow generated in the Salinas River basin is lost to channel seepage. The lack of sustained baseflow causes streamflow to be highly sensitive to the temporal variability in precipitation, especially during the drier periods, and this increases the importance of developing adequate reservoir management, flow augmentation, and conjunctive water use scenarios for potential future drought periods and potentially increased temporal variability in precipitation.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of SEDHYD 2019","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"SEDHYD 2019 Conference","conferenceDate":"June 24-28, 2019","conferenceLocation":"Reno, NV","language":"English","publisher":"Federal Interagency Sedimentation Conference (FISC) and Federal Interagency Hydrologic Modeling Conference (FIHMC)","usgsCitation":"Hevesi, J.A., Henson, W.R., Hanson, R.T., and Boyce, S.E., 2019, Integrated hydrologic modeling of the Salinas River, California, for sustainable water management, in Proceedings of SEDHYD 2019, v. 4, Reno, NV, June 24-28, 2019, 15 p.","productDescription":"15 p.","ipdsId":"IP-107062","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":364813,"type":{"id":15,"text":"Index Page"},"url":"https://www.sedhyd.org/2019/#sedhyd-2019-proceedings"},{"id":368648,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Salinas River Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.4044189453125,\n 36.796089518731506\n ],\n [\n -121.607666015625,\n 36.96744946416934\n ],\n [\n -121.98669433593749,\n 36.54936246839778\n ],\n [\n -120.8770751953125,\n 35.39352808136067\n ],\n [\n -119.65209960937501,\n 35.25459097465022\n ],\n [\n -121.4044189453125,\n 36.796089518731506\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hevesi, Joseph A. 0000-0003-2898-1800 jhevesi@usgs.gov","orcid":"https://orcid.org/0000-0003-2898-1800","contributorId":1507,"corporation":false,"usgs":true,"family":"Hevesi","given":"Joseph","email":"jhevesi@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":764610,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Henson, Wesley R. 0000-0003-4962-5565 whenson@usgs.gov","orcid":"https://orcid.org/0000-0003-4962-5565","contributorId":384,"corporation":false,"usgs":true,"family":"Henson","given":"Wesley","email":"whenson@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":764611,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hanson, Randall T. 0000-0002-9819-7141 rthanson@usgs.gov","orcid":"https://orcid.org/0000-0002-9819-7141","contributorId":801,"corporation":false,"usgs":true,"family":"Hanson","given":"Randall","email":"rthanson@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":764612,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boyce, Scott E. 0000-0003-0626-9492 seboyce@usgs.gov","orcid":"https://orcid.org/0000-0003-0626-9492","contributorId":4766,"corporation":false,"usgs":true,"family":"Boyce","given":"Scott","email":"seboyce@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":764613,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70227424,"text":"70227424 - 2019 - Characterization of hydrology and sediment transport following drought and wildfire in Cache Creek, California","interactions":[],"lastModifiedDate":"2022-01-14T16:47:03.777945","indexId":"70227424","displayToPublicDate":"2019-07-01T10:39:51","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Characterization of hydrology and sediment transport following drought and wildfire in Cache Creek, California","docAbstract":"The worst drought in California in over 1,200 years occurred between 2012-2017 (Griffin, 2014), depleting surface water and groundwater supply and drying out the soils past wilting point. In the summer of 2015, the Jerusalem and Rocky fires burned roughly 40,000 acres within the Cache Creek watershed. To fully characterize the post-fire effects in the Cache Creek watershed, an hourly model of streamflow and sediment transport was developed using the Hydrological Simulation Program – FORTRAN (HSPF). This model requires air temperature, precipitation, and potential evapotranspiration as climate inputs. Hourly station data are sparse in the area and may not capture the variability of elevation and local climatology patterns within the watershed. \n\nA technique used previously to spatially-interpolate daily-climate station data has improved the characterization of local and regional climate patterns on a daily scale in areas with sparse data (Flint et al., 2014). This technique was extended to hourly observed data to produce spatially-varying climate inputs for the Cache Creek hydrologic model to run as a continuous multi-year simulation with hourly time steps. Monthly PRISM grids were used in a two-step scaling method with climate Gradient and Inverse Distance Squared (GIDS) maps (Nalder and Wein, 1998) to develop daily grids, then the daily grids were used to scale hourly climate GIDS maps. This method captures the temporal variability at each climate station yet preserves the regional monthly spatial structure of the PRISM data.\n\nHydrologic calibration used data from water year 2015, and validation used the same parameters for water year 2016. The model was run through water year 2017 to characterize the effects of wildfire on hydrology and sediment transport. For final simulations, the model was run at an hourly time step from June 2014 through September 2017 to ensure a model initiation period of 4 months prior to the target simulation period used for analysis. Sediment parameters were initially set using the existing Sacramento River Basin model for this sub-watershed area and then iteratively adjusted in the calibration process. To simulate a fire across the landscape, sediment parameters for water years 2016-17 were further modified for burned sub-basins to represent post-fire vegetation and soils in 2016, then partial recovery in 2017. \n\nResults were inconclusive for drought and wildfire effects on runoff. Modeled peak flows generally underpredicted observed peak flows; however, the modeled storm volumes were only slightly under or over the observed storm volumes. Sediment transport was sensitive to the watershed disturbances and R^2 values for daily mean suspended concentrations (SSC) and sediment discharge were 0.70 and 0.75, respectively. Simulated hourly values correlated less strongly with observed instantaneous SSC and sediment discharge (R^2 values of 0.56 and 0.46, respectively).","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of SEDHYD 2019","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"SEDHYD 2019 Conference","conferenceDate":"June 24-28, 2019","conferenceLocation":"Reno, NV","language":"English","publisher":"Federal Interagency Sedimentation Conference (FISC) and Federal Interagency Hydrologic Modeling Conference (FIHMC)","usgsCitation":"Stern, M.A., Flint, L.E., and Flint, A.L., 2019, Characterization of hydrology and sediment transport following drought and wildfire in Cache Creek, California, in Proceedings of SEDHYD 2019, v. 5, Reno, NV, June 24-28, 2019, 8 p.","productDescription":"8 p.","ipdsId":"IP-107472","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":394386,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":394372,"type":{"id":15,"text":"Index Page"},"url":"https://www.sedhyd.org/2019/#sedhyd-2019-proceedings"}],"country":"United States","state":"California","otherGeospatial":"Cache Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.76397705078124,\n 38.792626957868904\n ],\n [\n -122.36297607421874,\n 38.792626957868904\n ],\n [\n -122.36297607421874,\n 39.17478791493289\n ],\n [\n -122.76397705078124,\n 39.17478791493289\n ],\n [\n -122.76397705078124,\n 38.792626957868904\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Stern, Michelle A. 0000-0003-3030-7065 mstern@usgs.gov","orcid":"https://orcid.org/0000-0003-3030-7065","contributorId":4244,"corporation":false,"usgs":true,"family":"Stern","given":"Michelle","email":"mstern@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":830818,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flint, Lorraine E. 0000-0002-7868-441X lflint@usgs.gov","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":1184,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","email":"lflint@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":830819,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flint, Alan L. 0000-0002-5118-751X aflint@usgs.gov","orcid":"https://orcid.org/0000-0002-5118-751X","contributorId":1492,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"aflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":830820,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70203002,"text":"sir20195029 - 2019 - Groundwater quality and hydrology with emphasis on selenium mobilization and transport in the Lower Gunnison River Basin, Colorado, 2012–16","interactions":[],"lastModifiedDate":"2019-07-01T09:22:29","indexId":"sir20195029","displayToPublicDate":"2019-06-28T13:00:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5029","title":"Groundwater quality and hydrology with emphasis on selenium mobilization and transport in the Lower Gunnison River Basin, Colorado, 2012–16","docAbstract":"Dissolved selenium is a contaminant of concern in the lower Gunnison River Basin, Colorado. Selenium is naturally present in the Cretaceous Mancos Shale and is leached to groundwater and surface water by irrigation. The groundwater on the east side of the Uncompahgre River in Delta and Montrose Counties is one of the primary sources of selenium concentration and load to surface water in the lower Gunnison River Basin. Although little information about the contribution of groundwater to surface water has been historically available, groundwater has often been implicated as an appreciable source of selenium to surface water. From 2012 to 2016, the U.S. Geological Survey, in cooperation with the Bureau of Reclamation, the Colorado Water Conservation Board, and the Gunnison Basin Selenium Management Program, established a 30-well groundwater-monitoring network on irrigated land to characterize the hydrology and groundwater quality of the shallow groundwater system on the east side of the Uncompahgre River in the lower Gunnison River Basin. The installation of the 30-well network and the data collected allowed for the development of a conceptual model of selenium mobilization and transport in the shallow groundwater system. Monitoring wells were completed in surficial deposits and in weathered Mancos Shale, which generally exhibited unconfined and confined conditions, respectively. Groundwater-quality monitoring provides information on the distribution of selenium and the geochemical processes controlling selenium concentrations in shallow groundwater. Monitoring wells were sampled between August 2013 and March 2015 to understand groundwater quality, seasonality, sources of recharge, and groundwater age. Concentrations of dissolved selenium ranged from below the limit of detection to 4,100 micrograms per liter (µg/L), with a median concentration of 14 µg/L. Concentrations showed a high degree of spatial variability and no seasonal difference. Similarly, no seasonal pattern was observed in specific conductance values of groundwater despite the considerably lower specific conductance value of irrigation water.
Reduction-oxidation processes are important controls on selenium mobility. Nitrate derived from geologic material was a primary control on reduction-oxidation conditions in groundwater and inhibited selenium reduction to less mobile forms. Nitrate was reduced by denitrification in groundwater, but it was not reduced to the extent necessary to allow for selenium reduction. Groundwater ages were determined for groundwater samples from eight wells and ranged from 6 to 20 years old. Isotopic data indicate groundwater was recharged by irrigation water; no information collected supported an older, deeper source of recharge to the shallow groundwater system. Data on water level in all wells showed response to irrigation practices, but the response was delayed in some wells, which may be an indication of distance from recharge source.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20195029","collaboration":"Prepared in cooperation with the Bureau of Reclamation, the Colorado Water Conservation Board, and the Gunnison Basin Selenium Management Program","usgsCitation":"Thomas, J.C., McMahon, P.B., and Arnold, L.R., 2019, Groundwater quality and hydrology with emphasis on selenium mobilization and transport in the lower Gunnison River Basin, Colorado, 2012–16: U.S. Geological Survey Scientific Investigations Report 2019–5029, 69 p., https://doi.org/10.3133/sir20195029.","productDescription":"viii, 69 p.","onlineOnly":"Y","ipdsId":"IP-084069","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":365132,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5029/coverthb.jpg"},{"id":365133,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5029/sir20195029.pdf","text":"Report","size":"10.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019–5029"}],"country":"United States","state":"Colorado","otherGeospatial":"Lower Gunnison River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108.80584716796875,\n 39.01064750994083\n ],\n [\n -109.11895751953125,\n 38.8782049970615\n ],\n [\n -108.6328125,\n 38.10214399750345\n ],\n [\n -108.69598388671875,\n 37.77288579232439\n ],\n [\n -107.87750244140625,\n 37.309014074275915\n ],\n [\n -107.4462890625,\n 37.31338308990806\n ],\n [\n -107.1441650390625,\n 37.727280276860036\n ],\n [\n -107.18536376953125,\n 38.07620357665235\n ],\n [\n -107.26776123046875,\n 38.50304202775689\n ],\n [\n -107.50671386718749,\n 38.9380483825641\n ],\n [\n -107.6495361328125,\n 39.115144700901475\n ],\n [\n -108.80584716796875,\n 39.01064750994083\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Colorado Water Science Center
U.S. Geological Survey
Box 25046, MS-415
Denver, CO 80225-0046
Infections from antibiotic resistant microorganisms are considered to be one of the greatest global public health challenges that result in huge annual economic losses. While genes that impart resistance to antibiotics (AbR) existed long before the discovery and use of antibiotics, anthropogenic uses of antibiotics in agriculture, domesticated animals, and humans are known to influence the prevalence of these genes in pathogenic microorganisms. It is critical to understand the role that natural and anthropogenic processes have on the occurrence and distribution of antibiotic resistance in microbial populations to minimize health risks associated with exposures. As part of this research, 15 antibiotic resistance genes were analyzed in coastal sediments and soils along the eastern seaboard of the USA using presence/absence quantitative and digital polymerase chain reaction assays. Samples (53 soil and 192 sediment samples including 54 replicates) were collected from a variety of coastal settings where human and wildlife exposure is likely. At least one of the antibiotic resistance genes was detected in 76.4% of the samples. Samples that contained at least five or more antibiotic resistance genes (5.7%) where typically hydrologically down gradient of watersheds influenced by combined sewer outfalls (CSO). The most frequently detected antibiotic resistance target genes were found in 33.2%, 34.4%, and 42.2% of samples (target genes blaSHV, tetO, and aadA2, respectively). These data provide unique insight into potential exposure of AbR genes over a large geographical region of the eastern seaboard of the USA.
","language":"English","publisher":"Springer International Publishing","doi":"10.1007/s10661-019-7426-z","usgsCitation":"Griffin, D.W., Benzel, W., Fisher, S.C., Focazio, M.J., Iwanowicz, L.R., Loftin, K., Reilly, T.J., and Jones, D.K., 2019, The presence of antibiotic resistance genes in coastal soil and sediment samples from the eastern seaboard of the USA: Environmental Monitoring and Assessment, v. 19, no. 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-76.83837890625,\n 39.317300373271024\n ],\n [\n -77.222900390625,\n 38.93377552819722\n ],\n [\n -77.464599609375,\n 38.460041065720446\n ],\n [\n -77.03887939453125,\n 36.855449936136495\n ],\n [\n -76.7669677734375,\n 36.59127365634205\n ],\n [\n -75.86883544921875,\n 36.558187766360675\n ],\n [\n -73.575439453125,\n 39.90973623453719\n ],\n [\n -69.840087890625,\n 41.236511201246216\n ],\n [\n -70.015869140625,\n 42.61779143282346\n ],\n [\n -69.818115234375,\n 43.51668853502906\n ],\n [\n -66.873779296875,\n 44.68427737181225\n ],\n [\n -67.1044921875,\n 45.042478050891546\n ],\n [\n -67.379150390625,\n 45.042478050891546\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"19","issue":"Suppl 2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Griffin, Dale W. 0000-0003-1719-5812 dgriffin@usgs.gov","orcid":"https://orcid.org/0000-0003-1719-5812","contributorId":2178,"corporation":false,"usgs":true,"family":"Griffin","given":"Dale","email":"dgriffin@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":769584,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benzel, William 0000-0002-4085-1876 wbenzel@usgs.gov","orcid":"https://orcid.org/0000-0002-4085-1876","contributorId":3594,"corporation":false,"usgs":true,"family":"Benzel","given":"William","email":"wbenzel@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":769594,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fisher, Shawn C. 0000-0001-6324-1061 scfisher@usgs.gov","orcid":"https://orcid.org/0000-0001-6324-1061","contributorId":4843,"corporation":false,"usgs":true,"family":"Fisher","given":"Shawn","email":"scfisher@usgs.gov","middleInitial":"C.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":769595,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Focazio, Michael J. 0000-0003-0967-5576 mfocazio@usgs.gov","orcid":"https://orcid.org/0000-0003-0967-5576","contributorId":1276,"corporation":false,"usgs":true,"family":"Focazio","given":"Michael","email":"mfocazio@usgs.gov","middleInitial":"J.","affiliations":[{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true}],"preferred":true,"id":769596,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Iwanowicz, Luke R. 0000-0002-1197-6178 liwanowicz@usgs.gov","orcid":"https://orcid.org/0000-0002-1197-6178","contributorId":190787,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke","email":"liwanowicz@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":769597,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Loftin, Keith A. 0000-0001-5291-876X","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":205662,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":769598,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reilly, Timothy J. 0000-0002-2939-3050 tjreilly@usgs.gov","orcid":"https://orcid.org/0000-0002-2939-3050","contributorId":1858,"corporation":false,"usgs":true,"family":"Reilly","given":"Timothy","email":"tjreilly@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"preferred":true,"id":769599,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jones, Daniel K. 0000-0003-0724-8001 dkjones@usgs.gov","orcid":"https://orcid.org/0000-0003-0724-8001","contributorId":4959,"corporation":false,"usgs":true,"family":"Jones","given":"Daniel","email":"dkjones@usgs.gov","middleInitial":"K.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":769600,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70203662,"text":"sir20195050 - 2019 - Flood-inundation maps for the Iowa River at the Meskwaki Settlement in Iowa, 2019","interactions":[],"lastModifiedDate":"2019-06-27T12:31:59","indexId":"sir20195050","displayToPublicDate":"2019-06-27T11:30:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5050","displayTitle":"Flood-Inundation Maps for the Iowa River at the Meskwaki Settlement in Iowa, 2019","title":"Flood-inundation maps for the Iowa River at the Meskwaki Settlement in Iowa, 2019","docAbstract":"Digital flood-inundation maps for a 9.3-mile reach of the Iowa River along the Meskwaki Settlement, Iowa, were created by the U.S. Geological Survey (USGS) in cooperation with the Sac and Fox Tribe of the Mississippi in Iowa. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science website at https://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage 05451770 on the Iowa River at County Highway E49 near Tama, Iowa. Near-real-time stages at this streamgage may be obtained on the internet from the USGS National Water Information System at https://waterdata.usgs.gov/ or the National Weather Service (NWS) Advanced Hydrologic Prediction Service at https://water.weather.gov/ahps/, which also forecasts flood hydrographs at this site.
Flood profiles were computed for the stream reach by means of a calibrated one-dimensional and two-dimensional step-backwater hydraulic model. The model was calibrated by using the current stage-discharge relation at the USGS streamgage 05451770 on the Iowa River at County Highway E49 near Tama, Iowa, and stage and discharge data from historic flooding events that were recorded at the streamgage.
The hydraulic model was then used to compute eight water-surface profiles for flood stages at 1-foot intervals referenced to the streamgage datum and ranging from the NWS “action stage” of 11 feet (ft) to 18 ft, the stage exceeding the estimated 0.2-percent annual exceedance probability (500-year recurrence interval) flood, as determined at the USGS streamgage 05451770. The simulated water-surface profiles were then combined with a geographic information system digital elevation model to delineate the area flooded at each flood stage (water level).
In addition, potential modifications to hydraulic structures within the flood plain were modeled so any effects from the potential modifications could be evaluated. Four comparison points, which were along the flood plain, showed little to no change (less than 0.1 ft) in flood elevation from the existing conditions within the flood plain for the 11- to 16-ft stages as referenced to the USGS streamgage 05451770. There were greater changes (more than 0.1 ft) in flood elevation for the 2 comparison points that were closest to the modified hydraulic structure for the 2 highest modeled stages of 17 and 18 ft.
The availability of these maps, along with internet information regarding current stage from the USGS streamgage and forecasted high-flow stages from the NWS, will provide emergency management personnel and residents with information that is critical for flood-response activities such as evacuations and road closures, as well as for postflood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195050","collaboration":"Prepared in cooperation with the Sac and Fox Tribe of the Mississippi in Iowa","usgsCitation":"Cigrand, C.V., 2019, Flood-inundation maps for the Iowa River at the Meskwaki Settlement in Iowa, 2019: U.S. Geological Survey Scientific Investigations Report 2019–5050, 12 p., https://doi.org/10.3133/sir20195050.","productDescription":"12 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-103795","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":365048,"rank":3,"type":{"id":30,"text":"Data Release"},"url":" https://doi.org/10.5066/P912FO3L ","text":"USGS data release","description":"USGS data release","linkHelpText":"Geospatial datasets for the flood-inundation study for the Iowa River at the Meskwaki Settlement in Iowa, 2019"},{"id":365046,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5050/coverthb.jpg"},{"id":365047,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5050/sir20195050.pdf","text":"Report","size":"26.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5050"}],"country":"United States","state":"Iowa","otherGeospatial":"Meskwaki Settlement","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.7175,41.916666666666664 ], [ -92.7175,42.034166666666664 ], [ -92.55,42.034166666666664 ], [ -92.55,41.916666666666664 ], [ -92.7175,41.916666666666664 ] ] ] } } ] }","contact":"Director, Central Midwest Water Science Center
U.S. Geological Survey
400 South Clinton Street, Suite 269
Iowa City, IA 52240
The State of Nebraska requires a sustainable balance between long-term water supplies and uses of groundwater and surface water and requires Natural Resources Districts to include the effect of groundwater use on surface-water systems as part of their respective integrated management plans. Recent droughts in Nebraska (2000–6; 2012–13) have amplified concerns about the long-term sustainability of groundwater and surface-water resources in the state, and concerns about the effect of groundwater irrigation on both streamflow and the water supplies needed to meet wildlife, recreational, and municipal needs. The lower Platte River provides nearly 100 percent of drinking-water supplies to Lincoln, Nebraska, 40 to 60 percent of drinking-water supplies to Omaha, Nebr., and critical aquatic and riparian habitat for threatened and endangered species. The Lower Platte River Basin-wide Management Plan has been jointly developed by the Nebraska Department of Natural Resources and seven Natural Resources Districts to address some of these concerns by managing groundwater and surface-water resources conjunctively.
To sustain flows in the lower Platte River that are needed for municipal water supplies, water managers have proposed projects aimed at temporary storage of surface water in upstream parts of the basin to mitigate periods of low flow in the lower Platte River. To increase scientific understanding and provide support for any potential future streamflow augmentation projects, the Papio-Missouri River Natural Resources District, the Lower Platte North Natural Resources District, and the Nebraska Department of Natural Resources, in cooperation with the U.S. Geological Survey, initiated this study to examine groundwater/surface-water interaction along the lower Platte and Elkhorn Rivers upstream from their confluence. The study design described herein focused on understanding seasonal characteristics of groundwater movement and interaction with surface water during periods of high groundwater demand (June through August) and low groundwater demand (all other months). Understanding how groundwater movement and interaction with surface water are affected by streamflow conditions and local groundwater demand is critical to the development of any streamflow augmentation project intended to sustain streamflow and mitigate periods of low flow in the lower Platte River.
The characteristics of groundwater movement and interaction with surface water are affected by hydrologic and local climatic conditions. For the study area, 2016–18 conditions can be broadly characterized as above normal precipitation. The flows measured at the Elkhorn River at Waterloo, Nebr., streamflow-gaging station (U.S. Geological Survey station 06800500) were above the long-term median, and the streamflow of the Platte River near Leshara, Nebr., streamflow-gaging station (06796500) remained normal or slightly above normal for the duration of this study.
Continuous streamflow and water-level data were interpreted to examine differences in groundwater movement and interaction with surface water between the Platte and Elkhorn Rivers during high and low groundwater demand periods. Although the streamflow for the Platte and Elkhorn Rivers and their tributaries was less during the high groundwater demand period, the hydraulic gradient along a transect of recorder wells was identical (0.0012 foot per foot) during the high and low groundwater demand synoptic water-level and streamflow surveys. The hydraulic gradient between the Platte and Elkhorn Rivers generally remained between 0.0011 and 0.0012 foot per foot. It can be inferred that the hydraulic gradient, which is the only temporally variable factor in Darcy’s Law, is consistent throughout the study period and that groundwater flow does not vary appreciably along this transect.
The northern part of the study area (north of the transect of recorder wells) has consistent groundwater and tributary flow from Big Slough, Rawhide Creek (Old Channel), and Rawhide Creek for low and high groundwater demand periods. In the southern part of the study area (south of the transect of recorder wells), tributary flow is more variable and dependent on local groundwater demand and flow conditions of the Platte River. Small decreases (less than 2 feet) in the groundwater levels, such as those measured during the high groundwater demand period, can have substantial changes in the streamflow in an unnamed tributary to the Elkhorn River. The streamflow measured during the high groundwater demand synoptic water-level and streamflow survey had decreased by nearly a factor of 20 when compared to the low groundwater demand period.
The volume of groundwater discharge received by the Elkhorn River was estimated by examining the changes in streamflow between measurement locations. Streamflow measurements indicate that the groundwater discharge received by the Elkhorn River in the southern part of the study area was seasonably variable, making it difficult if not impossible to estimate an annual value. In the Elkhorn River, between the Elkhorn River at Waterloo, Nebr., streamflow-gaging station and the Q Street Bridge, streamflow measurements collected during the low groundwater demand period indicated a gain of 80 cubic feet per second, which is comparable to the gain estimated using aerial thermal infrared imagery and water temperature data. Streamflow measurements collected during the high groundwater demand period indicate a loss of 80 cubic feet per second across this same reach. In assessing water supply conditions in the lower Platte River system, the term “loss” in reference to streamflow in the Elkhorn River should be used with caution. Most likely, flow from the Elkhorn River which is “lost” to the groundwater system will later discharge to surface water closer to the confluence of the Platte and Elkhorn Rivers as underflow. A calibrated groundwater flow model of the study area likely is required to predict the fate of this water and to quantify groundwater discharge during varying hydrologic conditions along this reach.
Aerial thermal infrared imagery indicated that much of the groundwater discharge in the southern part of the study area is focused across a 3-mile reach where the Elkhorn River turns southwest, perpendicular to the regional groundwater flow direction. Points of focused groundwater discharge were not detected with aerial thermal infrared imagery, indicating that groundwater discharge is diffuse rather than concentrated at focused points. Temperature-based streambed flux estimates indicated that strong regional groundwater gradients are not driving groundwater discharge and hyporheic flow is the dominant groundwater/surface-water exchange process.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195048","collaboration":"Prepared in cooperation with the Papio-Missouri River and Lower Platte North Natural Resources Districts and the Nebraska Department of Natural Resources","usgsCitation":"Hobza, C.M., Johnson, M.J., Woodward, P.W., Strauch, K.R., and Schepers, A.R., 2019, Groundwater movement and interaction with surface water near the confluence of the Platte and Elkhorn Rivers, Nebraska, 2016–18: U.S. Geological Survey Scientific Investigations Report 2019–5048, 38 p., https://doi.org/10.3133/sir20195048.","productDescription":"Report: vi, 38 p.; Data Release","numberOfPages":"48","onlineOnly":"Y","ipdsId":"IP-101680","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":365092,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5048/sir20195048.pdf","text":"Report","size":"4.36 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019–5048"},{"id":365093,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9EZLGSC","text":"USGS data release ","description":"USGS Data Release","linkHelpText":"Water-level and aerial thermal infrared imagery data collected along the lower Platte and Elkhorn Rivers, Nebraska, 2016–2017"},{"id":365091,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5048/coverthb.jpg"}],"country":"United States","state":"Nebraska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.503662109375,\n 40.613952441166596\n ],\n [\n -95.7073974609375,\n 40.613952441166596\n ],\n [\n -95.7073974609375,\n 42.09007006868398\n ],\n [\n -97.503662109375,\n 42.09007006868398\n ],\n [\n -97.503662109375,\n 40.613952441166596\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Nebraska Water Science Center
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A study was conducted by the U.S. Geological Survey (USGS), in cooperation with the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperative (GCPO LCC) and the Department of the Interior Southeast Climate Adaptation Science Center, to evaluate the hydrologic response of a daily time step hydrologic model to historical observations and projections of potential climate and land-cover change for the period 1952–2099. The model simulations were used to compute the potential changes in hydrologic response and streamflow statistics across the Southeastern United States, using historical observations of climate and streamflow. Thirteen downscaled general circulation models with four representative concentration pathways were used to represent a range of potential future changes in climate (a total of 45 future simulations) from the Coupled Model Intercomparison Project Phase 5. The streamflow statistics were selected to describe streamflow conditions that may be most useful in defining the suitability for each river or stream to support sustaining populations of priority aquatic species across the GCPO LCC. An application of the Precipitation-Runoff Modeling System (included as part of the USGS National Hydrologic Model) was used to develop the hydrologic simulations. The results showed increases in air temperature across the study area, with the highest increases occurring in the northern part of the study area during July to September. The results showed a mix of increases and decreases in precipitation accumulation across the study area and across seasons, with decreases in precipitation accumulation across all seasons for the southwestern part of the study area. Actual evapotranspiration decreased for the southeastern part of the study area and increased for the northwestern part of the study area. The results showed general decreases in runoff across the study area, with increases in runoff in areas surrounding large metropolitan regions where potential future increases in impervious area occur. Results from a statistical analysis (Kolmogorov-Smirnov test) showed that the downscaled general circulation models generally have more skill in producing historical streamflow statistics in the duration and magnitude categories and less skill in producing historical streamflow statistics in the frequency, rate of change, and timing categories for this study area. The potential changes in the streamflow statistics and the results of the Kolmogorov-Smirnov test are available through the GCPO LCC Conservation Planning Atlas, an online science-based mapping platform built specifically for land managers and planners.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195039","collaboration":"Prepared in cooperation with the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperative and the Department of the Interior Southeast Climate Adaptation Science Center","usgsCitation":"LaFontaine, J.H., Hart, R.M., Hay, L.E., Farmer, W.H., Bock, A.R., Viger, R.J., Markstrom, S.L., Regan, R.S., and Driscoll, J.M., 2019, Simulation of water availability in the Southeastern United States for historical and potential future climate and land-cover conditions: U.S. Geological Survey Scientific Investigations Report 2019–5039, 83 p., https://doi.org/10.3133/sir20195039.","productDescription":"Report: x, 83 p.; Data release","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-075743","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":364749,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5039/coverthb.jpg"},{"id":364750,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5039/sir20195039.pdf","text":"Report","size":"63.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5039"},{"id":364806,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F74X56PH","text":"USGS data release","description":"USGS data release","linkHelpText":"Model Input and Output for Hydrologic Simulations of the Southeastern United States for Historical and Future Conditions"}],"country":"United States","state":"Alabama, Arkansas, Florida, Georgia, Illinois, Kansas, Kentucky, Louisiana, Mississippi, Missouri, North Carolina, Oklahoma, Tennessee, Texas, Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.515625,\n 40.51379915504413\n ],\n [\n -95.185546875,\n 38.89103282648846\n ],\n [\n -95.2734375,\n 37.37015718405753\n ],\n [\n -97.294921875,\n 35.96022296929667\n ],\n [\n -97.646484375,\n 35.17380831799959\n ],\n [\n -95.97656249999999,\n 33.578014746143985\n ],\n [\n -95.537109375,\n 32.32427558887655\n ],\n [\n -96.328125,\n 31.50362930577303\n ],\n [\n -97.734375,\n 30.977609093348686\n ],\n [\n -96.85546875,\n 30.600093873550072\n ],\n [\n -96.240234375,\n 28.536274512989916\n ],\n [\n -93.69140625,\n 29.38217507514529\n ],\n [\n -91.93359375,\n 29.305561325527698\n ],\n [\n -90.087890625,\n 29.075375179558346\n ],\n [\n -89.12109375,\n 29.075375179558346\n ],\n [\n -89.47265625,\n 29.916852233070173\n ],\n [\n -88.24218749999999,\n 30.372875188118016\n ],\n [\n -86.484375,\n 30.372875188118016\n ],\n [\n -85.166015625,\n 29.6880527498568\n ],\n [\n -84.0234375,\n 29.916852233070173\n ],\n [\n -82.880859375,\n 29.38217507514529\n ],\n [\n -81.9140625,\n 28.998531814051795\n ],\n [\n -82.44140625,\n 29.611670115197377\n ],\n [\n -81.474609375,\n 31.42866311735861\n ],\n [\n -83.49609375,\n 34.74161249883172\n ],\n [\n -81.9140625,\n 35.24561909420681\n ],\n [\n -81.9140625,\n 37.3002752813443\n ],\n [\n -85.95703125,\n 35.53222622770337\n ],\n [\n -88.41796875,\n 37.020098201368114\n ],\n [\n -89.82421875,\n 39.232253141714885\n ],\n [\n -91.7578125,\n 39.232253141714885\n ],\n [\n -93.515625,\n 40.51379915504413\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, South Atlantic Water Science Center
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The U.S. Geological Survey (USGS), in cooperation with the Muskingum Watershed Conservancy District, led hydrologic and hydraulic analyses within the Clear Fork Mohican River Basin in and near Bellville, Ohio. The analyses included the development of digital flood-inundation maps for an approximately 2.5-mile reach of the Clear Fork Mohican River and the development of a precipitation-runoff model for a portion of the Clear Fork Mohican River Basin.
Data collection for the study involved the installation and operation of 2 streamgages (Clear Fork Mohican River at Bellville, Ohio, and Cedar Fork above Bellville, Ohio); 1 lake-level gage (Clear Fork Reservoir near Lexington, Ohio); 2 precipitation gages (Clear Fork Reservoir near Lexington, Ohio, and Rain Gage at Cedar Fork above Bellville, Ohio); and 12 submersible pressure transducers on Clear Fork Mohican River and 4 of its tributaries. Data collection also included field surveys of hydraulic structures and channel cross sections.
Flood profiles were computed for the 2.5-mile reach of the Clear Fork Mohican River by means of a one-dimensional step-backwater model. The model was calibrated to 16 measured events and to a portion (stages 9 to 11 feet) of the current stage-streamflow relation at the USGS streamgage Clear Fork Mohican River at Bellville, Ohio, and to stage recorded at a submersible pressure transducer site near the downstream study limit. After calibration the step-backwater model was used to compute nine flood profiles for stages ranging from 9 to 17 feet. The flood profiles were then used in combination with a digital elevation model to delineate the area that would be inundated at each stage.
A precipitation-runoff model was developed and calibrated using data from the streamgage, precipitation gage, and 11 submersible pressure transducers. The modeling included data during 10 runoff events that were used for model calibration and validation, with focus on 6 events. The Nash-Sutcliffe model efficiency coefficients for six peak streamflow events ranged from 0.459 to 0.851.
The models produced by this study can be used to assess possible flood mitigation options and define flood hazard areas that could contribute to the protection of life and property. The availability of flood-inundation maps, internet information from USGS streamgages, and forecasted stages from the National Weather Service could provide emergency management personnel and residents with information on forecasting floods, appropriate flood response activities, and post-flood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195017","collaboration":"Prepared in cooperation with the Muskingum Watershed Conservancy District and Richland County","usgsCitation":"Ostheimer, C.J., and Huitger, C.A., 2019, Development of a flood-inundation map library and precipitation-runoff modeling for the Clear Fork Mohican River in and near Bellville, Ohio: U.S. Geological Survey Scientific Investigations Report 2019–5017, 34 p., including 1 appendix, https://doi.org/10.3133/sir20195017.","productDescription":"Report, iv, 34 p.; Data release","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-100979","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":364753,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5017/coverthb.jpg"},{"id":364755,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P95NMIDF","text":"USGS data release","description":"USGS data release","linkHelpText":"Geospatial data sets for flood-inundation maps in and near Bellville, Ohio"},{"id":364754,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5017/sir20195017.pdf","text":"Report","size":"17.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5017"}],"country":"United States","state":"Ohio","county":"Richland County","city":"Bellville","otherGeospatial":"Clear Fork Mohican River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.39265441894531,\n 40.58475654701271\n ],\n [\n -82.40020751953125,\n 40.603526799885884\n ],\n [\n -82.52792358398436,\n 40.660847697284815\n ],\n [\n -82.57598876953125,\n 40.70875101828792\n ],\n [\n -82.62405395507812,\n 40.758700379161006\n ],\n [\n -82.68722534179688,\n 40.76182096906601\n ],\n [\n -82.72430419921875,\n 40.71916022743469\n ],\n [\n -82.71194458007812,\n 40.658764163202925\n ],\n [\n -82.49153137207031,\n 40.58345286156245\n ],\n [\n -82.41462707519531,\n 40.56937143958841\n ],\n [\n -82.39471435546875,\n 40.57328324298059\n ],\n [\n -82.39265441894531,\n 40.58475654701271\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Ohio-Kentucky-Indiana Water Science Center
U.S. Geological Survey
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The Pawnee Nation is compiling a comprehensive water-management plan for the Pawnee Nation Tribal Jurisdictional Area in north-central Oklahoma. One of the first steps needed in preparing such a plan is a summary and analysis of available hydrologic data and reports that have been published for the area. In phase I of a three-phase, watershed-based approach to summary and analysis of water resources of the Pawnee Nation, the U.S. Geological Survey, in cooperation with the Pawnee Nation and Bureau of Indian Affairs, conducted a literature search and data analysis for the Black Bear Creek watershed within the Pawnee Nation Tribal Jurisdictional Area, referred to herein as the “Black Bear Creek study area.” This report summarizes the available data for the Black Bear Creek study area.
Climatic, geographic, geologic, water-use, and hydrologic data from previously published reports or databases were collected and analyzed for this report. Because of the limited amount of groundwater-quality data for the study area, a field collection of groundwater levels and water samples was conducted. Sixteen wells were identified, and groundwater levels were measured at each well. Eight wells were sampled, and water properties, major ions, and nutrients were measured.
Overall, there are few long-term monitoring stations to help determine trends of surface-water quality, groundwater quality, and groundwater levels across the study area. Establishing and maintaining long-term streamflow, surface-water-quality, groundwater-level, and groundwater-quality monitoring sites would greatly increase the understanding of the water resources in the Black Bear Creek study area. Additionally, water-use estimates would be greatly improved by metering groundwater withdrawals. Establishing hydrologic and water-quality trends and having improved estimates of water use can aid decision makers in the stewardship of the water resources in this area.
This report can aid the Pawnee Nation in prioritization of future projects and serve as a background document for the development of a jurisdiction-wide comprehensive water-management plan.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20195043","collaboration":"Prepared in cooperation with the Pawnee Nation and the Bureau of Indian Affairs","usgsCitation":"Varonka, M.S., 2019, Summary of climatic, geographic, geologic, and available hydrologic data and identification of data gaps for the Black Bear Creek watershed of the Pawnee Nation Tribal Jurisdictional Area, Oklahoma: U.S. Geological Survey Scientific Investigations Report 2019–5043, 39 p., https://doi.org/10.3133/sir20195043.","productDescription":"ix, 39 p.","numberOfPages":"53","onlineOnly":"N","ipdsId":"IP-105182","costCenters":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"links":[{"id":364751,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5043/coverthb.jpg"},{"id":364752,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5043/sir20195043.pdf","text":"Report","size":"4.60 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019–5043"}],"country":"United States","state":"Oklahoma","otherGeospatial":"Pawnee National Tribal Jurisdictional Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.0751953125,\n 36.03133177633187\n ],\n [\n -96.39404296875,\n 36.03133177633187\n ],\n [\n -96.39404296875,\n 36.51405119943165\n ],\n [\n -97.0751953125,\n 36.51405119943165\n ],\n [\n -97.0751953125,\n 36.03133177633187\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Oklahoma Water Science Center
U.S. Geological Survey
202 NW 66th Street, Building 7
Oklahoma City, OK 73116