Vegetation communities in restored bottomland hardwood forests in northeast Indiana were studied 6–21 years after restoration to assess progress toward restoration objectives. The study focused on four sites that were restored to compensate for resource injuries after contaminant releases. The restored sites were compared with four reference-site conditions, including crops (prerestoration condition), old field communities representing a no-management alternative, locally sampled second-growth mature forests, and forest community types described by the US National Vegetation Classification (USNVC), which represent ideal or defining conditions of recognized vegetation communities. Fixed-area plots provided data on field-sampled environmental variables, vegetation, soil, and hydrological conditions for crops, old fields, restored areas, and mature forests. The USNVC database provided quantitative data for three historically and geographically relevant reference forest community types for comparison with the sampled communities. Results of nonmetric multidimensional scaling based on species cover revealed clear gradients relating to site age and canopy development. Along those gradients, restored areas demonstrated increasing similarity to mature forest reference communities in terms of floristic composition. Specifically, the floristic quality of restored areas was significantly greater than that of crops and old fields. Furthermore, soil health measurements of physical, chemical, and hydrological conditions indicated significant improvements in restored site soils compared with prerestoration conditions represented by cropland soils. Descriptions and data from the USNVC provided ecological context for restoration target conditions and facilitated the assessment of restoration recovery along a trajectory from starting conditions to those target conditions. Descriptions by USNVC also helped identify deviations from the intended restoration objectives (e.g., invasive species recruitment) and potential adaptive management actions to return sites to their intended trajectories. Integr Environ Assess Manag 2024;00:1–22. Published 2024. This article is a U.S. Government work and is in the public domain in the USA. Integrated Environmental Assessment and Management published by Wiley Periodicals LLC on behalf of Society of Environmental Toxicology & Chemistry (SETAC).
Saltwater intrusion (SWI) is a well-studied phenomenon that threatens the freshwater supplies of coastal communities around the world. The development and advancement of numerical models has led to improved assessment of the risk of salinization. However, these studies often fail to include the impact of surface waters as potential sources of aquifer salinity and how they may impact SWI. Based on field-collected data, we developed a regional, variable-density groundwater model using SEAWAT for east Dover, Delaware. In this location, major users of groundwater from the surficial aquifer are the City of Dover and irrigation for agriculture. Our model includes salinized marshland and tidal streams, along with irrigation and municipal pumping wells. Model scenarios were run for 100 years and included changes in pumping rates and sea-level rise (SLR). We examined how these drivers of SWI affect the extent and location of salinization in the surficial aquifer by evaluating differences in chloride concentration near surface waters and the subsurface freshwater-saltwater interface. We found the presence of the marsh inverts the typical freshwater-saltwater wedge interface and that the edge of the interface did not migrate farther inland. Additionally, we found that tidal streams are the dominant pathways of SWI at our site with salinization from streams being exacerbated by SLR. Our results also show that spatial distribution of pumping affects both the magnitude and extent of salinization, with an increase in concentrated pumping leading to more intensive salinization than a more widely distributed increase of the same total pumping volume.
The energy derived from available foods is an important factor used in conservation planning for migratory species. Estimating true metabolizable energy (TME) of available foods has become a common method for resource managers to increase reliability in energetic carrying-capacity estimates. Lesser scaup (Aythya affinis; hereafter scaup), have experienced a population decline concurrent with suspected decreases in foraging habitat quality and quantity at spring stopover sites in the upper Midwest, USA. Unfortunately, few TME estimates are available for common diet items of scaup. We estimated nitrogen-adjusted TME (TMEN) of 5 common foods of scaup by conducting feeding trials on wild females and males. True metabolizable energy varied by food taxa, but not by pretrial body mass or sex. Mean TMEN (kcal/g[dry] ± SE) was greatest for wild millet (Echinochloa crus-galli; 2.20 ± 0.14), followed by chironomids (Chironomus spp.; 1.41 ± 0.49), amphipods (Gammarus spp.; 1.33 ± 0.23), planorbid snails (Planorbidae; 0.17 ± 0.07), and fingernail clams (Sphaeriidae; −0.79 ± 0.27). Our results, combined with scaup diet literature indicated that the management of spring staging areas for high-energy invertebrates (i.e., chironomids and amphipods) would provide improved opportunity for energy acquisition during migration. Further study could help determine if the acclimation of scaup to particular diets, especially bivalves, increases their TMEN values.
Elevated nitrogen loads are pervasive in the Long Island Sound, an estuary that receives freshwater and nutrients from both surface-water and groundwater discharge. Surface-water nitrogen loads to the Long Island Sound are relatively well characterized, but less is known about groundwater-transported nitrogen loads. Prior work on the northern shore of Long Island Sound (Connecticut and areas of New York and Rhode Island) suggested that groundwater travel times are relatively short (median less than 2 years) and that decade-long nutrient legacies are not widespread. Because the travel times are short, groundwater flow and nutrient loads likely vary substantially between months. In the current study, the U.S. Geological Survey, in cooperation with the U.S. Environmental Protection Agency’s Long Island Sound Study and the Connecticut Department of Energy and Environmental Protection, developed a set of models to better characterize spatial and temporal patterns of groundwater-transported nitrogen loading from atmospheric deposition, septic systems, and fertilizers within the study area. The models provide an estimate, with uncertainty, of groundwater-transported nitrogen loads in the study area, filling a key gap in the nitrogen budget for Long Island Sound. The models also highlight the spatial and temporal variation in nitrogen loading throughout the study area.
The modeling workflow involved four models. (1) A soil-water-balance model was developed by using the Soil-Water-Balance software to simulate groundwater recharge across the study area for water years 2005 through 2022. The simulated mean monthly recharge from the soil-water-balance model was used as input into a groundwater-flow model. (2) The groundwater-flow model was developed by using the MODFLOW 6 software and data for water years 1993 through 2022 and simulates average monthly hydrologic conditions. The groundwater-flow model was calibrated by using the Iterative Ensemble Smoother method within the PEST++ software. The Iterative Ensemble Smoother method generates an ensemble of sets of parameter values, with each set producing reasonable simulated hydrologic parameter values. (3) An ensemble of MODPATH particle-tracking simulations were run to generate particle flow paths and travel times, with each simulation using a different set of the flow model parameters. (4) A nitrogen load model uses the MODPATH simulation outputs to track nitrogen from the land surface through multiple attenuation zones until it discharges into fresh or saline surface water. As with the groundwater-flow model, the nitrogen model simulated average monthly groundwater-transported nitrogen loads for water years 1993 through 2022. One novel aspect of the nitrogen load model is that the nitrogen attenuation parameters were calibrated to observed nitrogen loads.
Across the ensemble of simulated nitrogen loads, the median study-area-wide monthly simulated nitrogen loads from the aquifer to Long Island Sound throughout the year ranged from 900 to 18,600 kilograms of nitrogen per day, with a median load of 5,100 kilograms of nitrogen per day. The simulated loads were based on average monthly conditions for water years 1993 through 2022. Loads were highest during the winter and early spring and lowest during the late summer. However, simulated travel times for groundwater and nitrogen loads discharged to Long Island Sound during summer were longer than travel times for groundwater and loads discharged during the winter, indicating that, on average, groundwater discharged during summer traveled along different, and longer, flow paths, than groundwater discharged during winter. This indicates that summer loads would respond more slowly to changes in nitrogen inputs at the water table than winter loads. Over the entire study area, approximately 15 percent of the simulated load is from atmospheric deposition sources, 30 to 40 percent is from fertilizer, and 50 to 60 percent is from septic systems.
The final analysis of the study involved simulating the change in groundwater-transported nitrogen load in response to upgrading septic systems or reducing fertilizing inputs to areas of turf grass. Both management interventions reduced the groundwater-transported nitrogen load, and reductions were greater in areas with greater loads from septic systems or turf-grass fertilizers. The delay between management actions and substantial reductions in groundwater-transported nitrogen loads varied seasonally; loads during the late summer months remained elevated longer than the winter loads.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245090","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency’s Long Island Sound Study and the Connecticut Department of Energy and Environmental Protection","usgsCitation":"Barclay, J.R., Holland, M.J., and Mullaney, J.R., 2024, Simulated mean monthly groundwater-transported nitrogen loads in watersheds on the north shore of Long Island Sound, 1993–2022: U.S. Geological Survey Scientific Investigations Report 2024–5090, 63 p., https://doi.org/10.3133/sir20245090.","productDescription":"Report: xi, 63; 3 Data Releases","numberOfPages":"63","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-150246","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":462294,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1HKENGV","text":"USGS data release","linkHelpText":"MODFLOW6 groundwater flow model, MODPATH particle-tracking simulation, and groundwater-transported nitrogen load model of average monthly conditions in coastal Connecticut and adjacent areas of New York and Rhode Island, 1993–2022"},{"id":497952,"rank":10,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117502.htm","linkFileType":{"id":5,"text":"html"}},{"id":462296,"rank":9,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20215116","text":"Scientific Investigations Report 2021–5116","linkHelpText":"- Simulation of Groundwater Budgets and Travel Times for Watersheds on the North Shore of Long Island Sound, With Implications for Nitrogen-Transport Studies"},{"id":462295,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1GUC7FE","text":"USGS data release","linkHelpText":"Soil-Water-Balance model developed to simulate net infiltration in watersheds on the north shore of the Long Island Sound"},{"id":462293,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1XEN74S","text":"USGS data release","linkHelpText":"Summary simulated groundwater-transported nitrogen loads on the north shore of Long Island Sound and associated data"},{"id":462292,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5090/sir20245090.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2024-5090 XML"},{"id":462291,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5090/images/"},{"id":462290,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245090/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5090 HTML"},{"id":462289,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5090/sir20245090.pdf","text":"Report","size":"24.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5090 PDF"},{"id":462288,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5090/coverthb.jpg"}],"country":"United States","state":"Connecticut, Rhode Island","otherGeospatial":"Long Island Sound","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -73.60521599677895,\n 40.99974278286342\n ],\n [\n -71.33663482988541,\n 40.99974278286342\n ],\n [\n -71.33663482988541,\n 41.7908892811372\n ],\n [\n -73.60521599677895,\n 41.7908892811372\n ],\n [\n -73.60521599677895,\n 40.99974278286342\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, New England Water Science Center
U.S. Geological Survey
10 Bearfoot Road
Northborough, MA 01532
The effectiveness of using neural networks for picking seismic phase arrival times has been demonstrated through several case studies, and seismic monitoring programs are starting to adopt the technology into their workflows. However, published models were designed and trained using rather arbitrary choices of hyperparameters, limiting their performance. In this study, we use phase picks from both routine and template-matching analyses from multiple regions (Ridgecrest, California; Kilauea, Hawaii; Yellowstone, Wyoming-Montana-Idaho) to test a hyperparameter optimization scheme for phase-picking neural networks and to evaluate their performance. We show that a published model, namely PhaseNet (Zhu and Beroza, 2019), can be simplified and improved with reasonable effort and there are preferred choices of hyperparameters that increase the performance. We also show that models optimized based on the arrival times reported in routine event catalogs consistently perform well when picking arrival times of smaller events, which is crucial for certain tasks from microseismicity to explosion monitoring.
","language":"English","publisher":"GeoScienceWorld","doi":"10.1785/0320240025","usgsCitation":"Park, Y., and Shelly, D.R., 2024, The value of hyperparameter optimization in phase-picking neural networks: The Seismic Record, v. 4, no. 3, p. 231-239, https://doi.org/10.1785/0320240025.","productDescription":"9 p.","startPage":"231","endPage":"239","ipdsId":"IP-167611","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":487286,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0320240025","text":"Publisher Index Page"},{"id":481863,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Hawaii, Idaho, Montana, Wyoming","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-122.421439,37.869969],[-122.41847,37.852721],[-122.446316,37.861046],[-122.421439,37.869969]]],[[[-122.3785,37.826505],[-122.369941,37.832137],[-122.362661,37.807577],[-122.3785,37.826505]]],[[[-120.248484,33.999329],[-120.230001,34.010136],[-120.167306,34.008219],[-120.140362,34.025974],[-120.090182,34.019806],[-120.043259,34.035806],[-120.046575,34.000002],[-120.011123,33.979894],[-119.978876,33.983081],[-119.97026,33.944359],[-120.017715,33.936366],[-120.049682,33.914563],[-120.121817,33.895712],[-120.168974,33.91909],[-120.224461,33.989059],[-120.248484,33.999329]]],[[[-119.789798,34.05726],[-119.755521,34.056716],[-119.712576,34.043265],[-119.686507,34.019805],[-119.637742,34.013178],[-119.612226,34.021256],[-119.59324,34.049625],[-119.5667,34.053452],[-119.52064,34.034262],[-119.560464,33.99553],[-119.662825,33.985889],[-119.721206,33.959583],[-119.758141,33.959212],[-119.873358,33.980375],[-119.884896,34.008814],[-119.876329,34.032087],[-119.923337,34.069361],[-119.912857,34.077508],[-119.857304,34.071298],[-119.818742,34.052997],[-119.789798,34.05726]]],[[[-120.46258,34.042627],[-120.440248,34.036918],[-120.418768,34.052093],[-120.390906,34.051994],[-120.370176,34.074907],[-120.354982,34.059256],[-120.358608,34.050235],[-120.331161,34.049097],[-120.302122,34.023574],[-120.35532,34.017914],[-120.409368,34.032198],[-120.454134,34.028081],[-120.46258,34.042627]]],[[[-118.524531,32.895488],[-118.573522,32.969183],[-118.586928,33.008281],[-118.606559,33.01469],[-118.605534,33.030999],[-118.569013,33.029151],[-118.496811,32.933847],[-118.353504,32.821962],[-118.394565,32.823978],[-118.425634,32.800595],[-118.496298,32.851572],[-118.524531,32.895488]]],[[[-118.500212,33.449592],[-118.370323,33.409285],[-118.365094,33.388374],[-118.310213,33.335795],[-118.305084,33.310323],[-118.325244,33.299075],[-118.374768,33.320065],[-118.465368,33.326056],[-118.48877,33.356649],[-118.478465,33.38632],[-118.48875,33.419826],[-118.570927,33.439351],[-118.60403,33.47654],[-118.54453,33.474119],[-118.500212,33.449592]]],[[[-119.543842,33.280329],[-119.532941,33.284728],[-119.465717,33.259239],[-119.429559,33.228167],[-119.476029,33.21552],[-119.545872,33.233406],[-119.564971,33.24744],[-119.578942,33.278628],[-119.562042,33.271129],[-119.543842,33.280329]]],[[[-122.289533,42.007764],[-121.035195,41.993323],[-120.001058,41.995139],[-120.001014,38.999574],[-118.714312,38.102185],[-117.244917,37.030244],[-115.852908,35.96966],[-114.633013,35.002085],[-114.635176,34.875003],[-114.586842,34.835672],[-114.552682,34.766871],[-114.46862,34.707573],[-114.438739,34.621455],[-114.424202,34.610453],[-114.43009,34.596874],[-114.422382,34.580711],[-114.405228,34.569637],[-114.380838,34.529724],[-114.387187,34.462021],[-114.373719,34.446938],[-114.335372,34.450038],[-114.229686,34.368908],[-114.176909,34.349306],[-114.138167,34.300936],[-114.134768,34.268965],[-114.223384,34.205136],[-114.229715,34.186928],[-114.287294,34.170529],[-114.320777,34.138635],[-114.348052,34.134458],[-114.390565,34.110084],[-114.411681,34.110031],[-114.43338,34.088413],[-114.438266,34.022609],[-114.499883,33.961789],[-114.522002,33.955623],[-114.535478,33.934651],[-114.508558,33.906098],[-114.518555,33.889847],[-114.503017,33.867998],[-114.529385,33.851755],[-114.520465,33.827778],[-114.527161,33.816191],[-114.504863,33.760465],[-114.512348,33.734214],[-114.494197,33.707922],[-114.531523,33.675108],[-114.525783,33.616588],[-114.5403,33.580615],[-114.524599,33.552231],[-114.588239,33.502453],[-114.643302,33.416745],[-114.687953,33.417944],[-114.725282,33.405048],[-114.698035,33.352442],[-114.705241,33.327767],[-114.729904,33.305745],[-114.723259,33.288079],[-114.684363,33.276025],[-114.672401,33.26047],[-114.688205,33.247966],[-114.673715,33.219245],[-114.678729,33.162948],[-114.707819,33.091102],[-114.68902,33.084036],[-114.66506,33.033908],[-114.641622,33.046896],[-114.618788,33.027202],[-114.589778,33.026228],[-114.575161,33.036542],[-114.523578,33.030961],[-114.502871,33.011153],[-114.494212,32.974262],[-114.469039,32.972295],[-114.48092,32.935252],[-114.464448,32.913129],[-114.468971,32.845155],[-114.528849,32.796307],[-114.526856,32.757094],[-114.615733,32.729427],[-114.69879,32.744846],[-114.717665,32.721654],[-117.124862,32.534156],[-117.136664,32.618754],[-117.168866,32.671952],[-117.192967,32.687751],[-117.213068,32.687751],[-117.246069,32.669352],[-117.25757,32.72605],[-117.25497,32.786948],[-117.280971,32.822247],[-117.28217,32.839547],[-117.25617,32.859447],[-117.25447,32.900146],[-117.28077,33.012343],[-117.315278,33.093504],[-117.359484,33.164231],[-117.469794,33.296417],[-117.547693,33.365491],[-117.59588,33.386629],[-117.645582,33.440728],[-117.684584,33.461927],[-117.715349,33.460556],[-117.726486,33.483427],[-117.784888,33.541525],[-117.87679,33.592322],[-117.927091,33.605521],[-118.029694,33.676418],[-118.088896,33.729817],[-118.132698,33.753217],[-118.1755,33.763617],[-118.187701,33.749218],[-118.181367,33.717367],[-118.258687,33.703741],[-118.317205,33.712818],[-118.360505,33.736817],[-118.411211,33.741985],[-118.428407,33.774715],[-118.394376,33.804289],[-118.392107,33.840915],[-118.460611,33.969111],[-118.519514,34.027509],[-118.569235,34.04164],[-118.744952,34.032103],[-118.783433,34.021543],[-118.805114,34.001239],[-118.854653,34.034215],[-118.938081,34.043383],[-119.088536,34.09831],[-119.130169,34.100102],[-119.227743,34.161728],[-119.278644,34.266902],[-119.313034,34.275689],[-119.370356,34.319486],[-119.388249,34.317398],[-119.461036,34.374064],[-119.536957,34.395495],[-119.559459,34.413395],[-119.616862,34.420995],[-119.671866,34.416096],[-119.709067,34.395397],[-119.794771,34.417597],[-119.873971,34.408795],[-120.008077,34.460447],[-120.088591,34.460208],[-120.141165,34.473405],[-120.295051,34.470623],[-120.471376,34.447846],[-120.47661,34.475131],[-120.511421,34.522953],[-120.581293,34.556959],[-120.622575,34.554017],[-120.637805,34.56622],[-120.645739,34.581035],[-120.640244,34.604406],[-120.60045,34.70464],[-120.637415,34.755895],[-120.610266,34.85818],[-120.639283,34.880413],[-120.647328,34.901133],[-120.670835,34.904115],[-120.629931,35.061515],[-120.630957,35.101941],[-120.644311,35.139616],[-120.704203,35.173206],[-120.74887,35.177795],[-120.756086,35.160459],[-120.856047,35.206487],[-120.89679,35.247877],[-120.862684,35.346776],[-120.866099,35.393045],[-120.884757,35.430196],[-120.907937,35.449069],[-120.946546,35.446715],[-120.969436,35.460197],[-121.003359,35.46071],[-121.101595,35.548814],[-121.126027,35.593058],[-121.166712,35.635399],[-121.284973,35.674109],[-121.314632,35.71331],[-121.315786,35.75252],[-121.332449,35.783106],[-121.388053,35.823483],[-121.413146,35.855316],[-121.462264,35.885618],[-121.503112,36.000299],[-121.574602,36.025156],[-121.629634,36.114452],[-121.680145,36.165818],[-121.717176,36.195146],[-121.826425,36.24186],[-121.851967,36.277831],[-121.888491,36.30281],[-121.892917,36.340428],[-121.905446,36.358269],[-121.903195,36.393603],[-121.9416,36.485602],[-121.944666,36.521861],[-121.928769,36.523147],[-121.932508,36.559935],[-121.978592,36.580488],[-121.929666,36.636959],[-121.889064,36.601759],[-121.860604,36.611136],[-121.814462,36.682858],[-121.788278,36.803994],[-121.862266,36.931552],[-121.894667,36.961851],[-121.930069,36.97815],[-121.972771,36.954151],[-122.012373,36.96455],[-122.027174,36.95115],[-122.050122,36.948523],[-122.105976,36.955951],[-122.20618,37.013949],[-122.284882,37.101747],[-122.306139,37.116383],[-122.337071,37.117382],[-122.344029,37.144099],[-122.367085,37.172817],[-122.405073,37.195791],[-122.419113,37.24147],[-122.40085,37.359225],[-122.443687,37.435941],[-122.452087,37.48054],[-122.467888,37.49814],[-122.499289,37.495341],[-122.516689,37.52134],[-122.517187,37.590637],[-122.501386,37.599637],[-122.494085,37.644035],[-122.514483,37.780829],[-122.485783,37.790629],[-122.478083,37.810828],[-122.398139,37.80563],[-122.385323,37.790724],[-122.375854,37.734979],[-122.356784,37.729505],[-122.361749,37.71501],[-122.391374,37.708331],[-122.387626,37.67906],[-122.374291,37.662206],[-122.386072,37.637662],[-122.35531,37.615736],[-122.378545,37.605592],[-122.360219,37.592501],[-122.317676,37.590865],[-122.305895,37.575484],[-122.262698,37.572866],[-122.214264,37.538505],[-122.196593,37.537196],[-122.194957,37.522469],[-122.168449,37.504143],[-122.116112,37.505386],[-122.111998,37.528851],[-122.147014,37.588411],[-122.163049,37.667933],[-122.246826,37.72193],[-122.257134,37.745001],[-122.244938,37.750294],[-122.253753,37.761218],[-122.329159,37.783173],[-122.333711,37.809797],[-122.306222,37.827469],[-122.301313,37.847758],[-122.309986,37.892755],[-122.33453,37.908791],[-122.385908,37.908136],[-122.430087,37.963115],[-122.399832,37.956009],[-122.367582,37.978168],[-122.363655,38.014166],[-122.340093,38.003694],[-122.283478,38.022674],[-122.262861,38.0446],[-122.273006,38.07438],[-122.314567,38.115287],[-122.39638,38.149976],[-122.439577,38.116923],[-122.489974,38.112014],[-122.483757,38.071762],[-122.497828,38.019402],[-122.448413,37.988313],[-122.488665,37.966714],[-122.480484,37.945443],[-122.499465,37.939225],[-122.503064,37.928753],[-122.43925,37.88392],[-122.45005,37.871157],[-122.480811,37.873448],[-122.479151,37.825428],[-122.505383,37.822128],[-122.548986,37.836227],[-122.561487,37.851827],[-122.656519,37.904519],[-122.678474,37.906604],[-122.70264,37.89382],[-122.727297,37.904626],[-122.736898,37.925825],[-122.783244,37.951334],[-122.821383,37.996735],[-122.882114,38.025273],[-122.956811,38.02872],[-122.981776,38.009119],[-122.976764,37.99568],[-123.024066,37.994878],[-122.99242,38.041758],[-122.949074,38.15406],[-122.953629,38.17567],[-122.991953,38.233185],[-122.993235,38.239686],[-122.968569,38.242879],[-122.977082,38.267902],[-123.024333,38.310573],[-123.063671,38.302178],[-123.074684,38.322574],[-123.068265,38.359865],[-123.128825,38.450418],[-123.202277,38.494314],[-123.249797,38.511045],[-123.331899,38.565542],[-123.343338,38.590008],[-123.371876,38.607235],[-123.441774,38.699744],[-123.514784,38.741966],[-123.541837,38.776764],[-123.647387,38.845472],[-123.659846,38.872529],[-123.725367,38.917438],[-123.738886,38.95412],[-123.711149,38.977316],[-123.690095,39.031157],[-123.713392,39.108422],[-123.774998,39.212083],[-123.777368,39.237214],[-123.803848,39.278771],[-123.808772,39.324368],[-123.822085,39.343857],[-123.81469,39.446538],[-123.766475,39.552803],[-123.787417,39.604552],[-123.792659,39.684122],[-123.808208,39.710715],[-123.829545,39.723071],[-123.851714,39.832041],[-123.907664,39.863028],[-123.930047,39.909697],[-123.954952,39.922373],[-123.980031,39.962458],[-124.035904,40.013319],[-124.079983,40.029773],[-124.080709,40.06611],[-124.110549,40.103765],[-124.187874,40.130542],[-124.214895,40.160902],[-124.363414,40.260974],[-124.347853,40.314634],[-124.373599,40.392923],[-124.409591,40.438076],[-124.38494,40.48982],[-124.382816,40.519],[-124.329404,40.61643],[-124.158322,40.876069],[-124.112165,41.028173],[-124.125448,41.048504],[-124.153622,41.05355],[-124.165414,41.129822],[-124.158539,41.143021],[-124.1438,41.144686],[-124.106986,41.229678],[-124.072294,41.374844],[-124.066057,41.470258],[-124.081427,41.511228],[-124.081987,41.547761],[-124.101123,41.569192],[-124.100961,41.602499],[-124.135552,41.657307],[-124.147412,41.717955],[-124.164716,41.740126],[-124.17739,41.745756],[-124.19104,41.736079],[-124.255994,41.783014],[-124.230678,41.818681],[-124.208439,41.888192],[-124.203402,41.940964],[-124.211605,41.99846],[-122.289533,42.007764]]],[[[-155.778234,20.245743],[-155.746893,20.232325],[-155.732704,20.205392],[-155.653966,20.16736],[-155.600909,20.126573],[-155.558933,20.13157],[-155.443957,20.095318],[-155.282629,20.021969],[-155.204486,19.969438],[-155.086341,19.855399],[-155.094414,19.81491],[-155.087118,19.728013],[-155.006423,19.739286],[-154.981102,19.690687],[-154.983778,19.641647],[-154.950359,19.626461],[-154.947106,19.604856],[-154.903542,19.570622],[-154.809561,19.522377],[-154.838545,19.463642],[-154.980861,19.349291],[-155.159635,19.268375],[-155.205892,19.260907],[-155.264619,19.274213],[-155.296761,19.266289],[-155.360631,19.20893],[-155.417369,19.187858],[-155.453516,19.151952],[-155.51474,19.132501],[-155.512137,19.124296],[-155.557817,19.08213],[-155.557371,19.046565],[-155.596032,18.998833],[-155.601866,18.971572],[-155.625256,18.961951],[-155.672005,18.917466],[-155.687716,18.923358],[-155.693117,18.940542],[-155.726043,18.969437],[-155.763598,18.981837],[-155.806109,19.013967],[-155.88155,19.036644],[-155.903693,19.080777],[-155.921389,19.121183],[-155.888701,19.348031],[-155.924269,19.438794],[-155.922609,19.478611],[-155.95149,19.486649],[-155.978206,19.608159],[-155.997728,19.642816],[-156.028982,19.650098],[-156.029281,19.678908],[-156.064364,19.730766],[-156.049651,19.780452],[-155.976651,19.85053],[-155.925843,19.858928],[-155.892533,19.932162],[-155.831948,19.982775],[-155.828182,20.035424],[-155.866931,20.078652],[-155.899149,20.145728],[-155.906035,20.205157],[-155.890663,20.25524],[-155.853293,20.271548],[-155.778234,20.245743]]],[[[-160.125,21.95909],[-160.112746,21.995245],[-160.09645,22.001489],[-160.072123,22.003334],[-160.051992,21.983681],[-160.078393,21.955153],[-160.085787,21.927295],[-160.079065,21.89608],[-160.16162,21.864746],[-160.205851,21.779518],[-160.218044,21.783755],[-160.24961,21.815145],[-160.231028,21.886263],[-160.190158,21.923592],[-160.125,21.95909]]],[[[-159.431707,22.220015],[-159.40732,22.230555],[-159.353795,22.217669],[-159.315613,22.186817],[-159.295271,22.13039],[-159.321667,22.063411],[-159.337996,22.046575],[-159.333109,21.964176],[-159.446599,21.871647],[-159.490914,21.888898],[-159.610241,21.898356],[-159.671872,21.957038],[-159.758218,21.980694],[-159.788139,22.018411],[-159.786543,22.06369],[-159.748159,22.100388],[-159.726043,22.152171],[-159.66984,22.170782],[-159.583965,22.22668],[-159.554166,22.228212],[-159.507811,22.205987],[-159.488558,22.23317],[-159.431707,22.220015]]],[[[-157.014553,21.185503],[-156.991318,21.18551],[-156.974002,21.218503],[-156.946159,21.175963],[-156.903466,21.16421],[-156.896537,21.172208],[-156.867944,21.16452],[-156.771495,21.180053],[-156.742231,21.176214],[-156.736648,21.16188],[-156.712696,21.161547],[-156.726033,21.13236],[-156.794136,21.075796],[-156.877137,21.0493],[-157.079696,21.105835],[-157.254061,21.090601],[-157.313343,21.105755],[-157.293774,21.146127],[-157.254709,21.181376],[-157.25026,21.207739],[-157.263163,21.220873],[-157.257085,21.227268],[-157.202125,21.219298],[-157.185553,21.205602],[-157.014553,21.185503]]],[[[-156.544169,20.522802],[-156.586238,20.511711],[-156.603844,20.524372],[-156.668809,20.504738],[-156.703673,20.527237],[-156.6801,20.557021],[-156.576871,20.60657],[-156.543034,20.580115],[-156.556021,20.542657],[-156.540189,20.534741],[-156.544169,20.522802]]],[[[-156.612012,21.02477],[-156.606238,21.034371],[-156.592256,21.03288],[-156.549813,21.004939],[-156.474796,20.894546],[-156.386045,20.919563],[-156.324578,20.950184],[-156.230159,20.931936],[-156.230089,20.917864],[-156.166746,20.865646],[-156.132669,20.861369],[-156.115735,20.827301],[-156.090291,20.831872],[-156.059788,20.81054],[-156.003532,20.795545],[-155.984587,20.767496],[-155.991534,20.713654],[-156.053385,20.65432],[-156.081472,20.654387],[-156.142665,20.623605],[-156.210258,20.628518],[-156.302692,20.586199],[-156.377633,20.578427],[-156.415313,20.586099],[-156.423141,20.602079],[-156.444242,20.607941],[-156.448656,20.704739],[-156.464043,20.781667],[-156.501688,20.799933],[-156.537752,20.778408],[-156.631794,20.82124],[-156.688969,20.888673],[-156.697418,20.916368],[-156.680905,20.980262],[-156.642809,21.027583],[-156.612012,21.02477]]],[[[-157.010001,20.929757],[-156.897169,20.915395],[-156.837047,20.863575],[-156.808469,20.820396],[-156.838321,20.764575],[-156.909081,20.739533],[-156.96789,20.73508],[-156.994001,20.786671],[-156.991834,20.826603],[-157.010911,20.854476],[-157.054552,20.877219],[-157.061128,20.890635],[-157.05913,20.913407],[-157.010001,20.929757]]],[[[-158.044485,21.306011],[-158.1127,21.3019],[-158.1225,21.3224],[-158.111949,21.326622],[-158.125459,21.330264],[-158.1403,21.3738],[-158.1792,21.4043],[-158.192352,21.44804],[-158.233,21.4876],[-158.234314,21.540058],[-158.27951,21.575794],[-158.12561,21.586739],[-158.10672,21.596577],[-158.0639,21.6584],[-158.018127,21.699955],[-157.968628,21.712704],[-157.924591,21.651183],[-157.9238,21.6293],[-157.87735,21.575277],[-157.878601,21.560181],[-157.85614,21.560661],[-157.836945,21.529945],[-157.837372,21.512085],[-157.852625,21.499971],[-157.84099,21.459483],[-157.8163,21.4502],[-157.786513,21.415633],[-157.774455,21.421352],[-157.774905,21.453698],[-157.764572,21.461335],[-157.731777,21.455944],[-157.7386,21.4043],[-157.724324,21.403311],[-157.7089,21.3833],[-157.7106,21.3585],[-157.6971,21.3364],[-157.6518,21.3139],[-157.6537,21.302],[-157.7001,21.264],[-157.7142,21.2665],[-157.7122,21.2814],[-157.7213,21.2869],[-157.8096,21.2577],[-157.8457,21.29],[-157.89,21.3065],[-157.90482,21.329172],[-157.918939,21.318615],[-157.910925,21.305768],[-157.952263,21.306531],[-157.951881,21.318742],[-157.967971,21.327986],[-158.044485,21.306011]]],[[[-111.046689,42.001567],[-112.709375,42.000309],[-113.893261,41.988057],[-114.831077,42.002207],[-117.026222,42.000252],[-117.02678,43.829841],[-117.013954,43.859358],[-116.98294,43.86771],[-116.96247,43.928336],[-116.971835,43.962806],[-116.942944,43.987512],[-116.934485,44.021249],[-116.943361,44.035645],[-116.972504,44.048771],[-116.977351,44.085364],[-116.937835,44.096943],[-116.894309,44.158114],[-116.900103,44.176851],[-116.925392,44.191544],[-116.971675,44.197256],[-116.975905,44.242844],[-117.031862,44.248635],[-117.050057,44.22883],[-117.104208,44.27994],[-117.15706,44.25749],[-117.198147,44.273828],[-117.222647,44.297578],[-117.189842,44.335007],[-117.235117,44.373853],[-117.242675,44.396548],[-117.215072,44.427162],[-117.224104,44.483734],[-117.200237,44.492027],[-117.185386,44.519261],[-117.152406,44.531802],[-117.146032,44.568603],[-117.126009,44.581553],[-117.120522,44.614658],[-117.098221,44.640689],[-117.07912,44.692175],[-117.063824,44.703623],[-117.062273,44.727143],[-117.03827,44.748179],[-116.9368,44.782881],[-116.931099,44.804781],[-116.896249,44.84833],[-116.852427,44.887577],[-116.833632,44.928976],[-116.858313,44.978761],[-116.846103,44.999878],[-116.848037,45.021728],[-116.797329,45.060267],[-116.774847,45.105536],[-116.731216,45.139934],[-116.703607,45.239757],[-116.672733,45.283183],[-116.673793,45.321511],[-116.619057,45.39821],[-116.597447,45.41277],[-116.588195,45.44292],[-116.554829,45.46293],[-116.548676,45.510385],[-116.523638,45.54661],[-116.48297,45.577008],[-116.463504,45.615785],[-116.535396,45.691734],[-116.535698,45.734231],[-116.546643,45.750972],[-116.593004,45.778541],[-116.665344,45.781998],[-116.70845,45.825117],[-116.759787,45.816167],[-116.782676,45.825376],[-116.790151,45.849851],[-116.814142,45.877551],[-116.857254,45.904159],[-116.892935,45.974396],[-116.915989,45.995413],[-116.942656,46.061],[-116.981962,46.084915],[-116.978823,46.095731],[-116.959548,46.099058],[-116.92187,46.167808],[-116.962966,46.19968],[-116.958801,46.24232],[-116.991422,46.278467],[-116.986688,46.296662],[-117.020663,46.314793],[-117.027744,46.338751],[-117.060703,46.349015],[-117.062785,46.365287],[-117.046915,46.379577],[-117.034696,46.418318],[-117.042657,47.760857],[-117.032351,48.999188],[-104.048736,48.999877],[-104.039977,45.124988],[-104.040128,44.999987],[-104.057698,44.997431],[-104.053249,41.001406],[-111.046723,40.997959],[-111.046689,42.001567]]]]},\"properties\":{\"name\":\"California\",\"nation\":\"USA \"}}]}","volume":"4","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-09-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Park, Yongsoo","contributorId":350716,"corporation":false,"usgs":false,"family":"Park","given":"Yongsoo","affiliations":[{"id":48588,"text":"Los Alamos National Lab","active":true,"usgs":false}],"preferred":false,"id":926908,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shelly, David R. 0000-0003-2783-5158 dshelly@usgs.gov","orcid":"https://orcid.org/0000-0003-2783-5158","contributorId":206750,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":926909,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70263332,"text":"70263332 - 2024 - Stream nitrate dynamics driven primarily by discharge and watershed physical and soil characteristics at intensively monitored sites: Insights from deep learning","interactions":[],"lastModifiedDate":"2025-02-06T15:50:05.857714","indexId":"70263332","displayToPublicDate":"2024-09-26T08:45:09","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Stream nitrate dynamics driven primarily by discharge and watershed physical and soil characteristics at intensively monitored sites: Insights from deep learning","docAbstract":"We developed a suite of models using deep learning to make hindcast predictions of the 7‐day\naverage backward‐looking nitrate concentration at 46 predominantly agricultural sites across the midwestern and eastern United States. The models used daily observations of discharge and meteorological variables and watershed attributes describing anthropogenic modification to hydrology, nitrogen application, climate, groundwater, land use, watershed physiographic attributes, and soils. Across all sites, discharge and watershed soil and physiographic attributes showed a strong influence on model performance. Analysis of drivers across sites revealed considerable regional differences related to controlling processes such as groundwater contributions. We tested several ways to pool data across sites to develop accurate models and make the most effective use of available data. Single‐site models, in which models are trained and tested at a single location, showed generally strong predictive performance (median Kling‐Gupta Efficiency = 0.66), and accuracy at poorly performing sites could be improved by grouping sites with similar characteristics. Developing a single model for all sites reduced performance at several locations with distinct characteristics, suggesting that there is a threshold of dissimilarity beyond which more data does not improve the model. While many deep learning studies have shown that national or even global models can outperform local models, it is not clear that this is true for water quality constituents. This study demonstrates how data can be combined effectively, using deep learning to develop accurate and interpretable models of instream nitrate at sites where varying processes are responsible for changes in nitrate concentration.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023WR036591","usgsCitation":"Gorski, G., Larsen, L., Wingenroth, J., Zhang, L., Bellugi, D., and Appling, A.P., 2024, Stream nitrate dynamics driven primarily by discharge and watershed physical and soil characteristics at intensively monitored sites: Insights from deep learning: Water Resources Research, v. 60, no. 9, e2023WR036591, 20 p., https://doi.org/10.1029/2023WR036591.","productDescription":"e2023WR036591, 20 p.","ipdsId":"IP-159507","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":487626,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023wr036591","text":"Publisher Index Page"},{"id":481745,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -96.40564338832684,\n 45.91506689989822\n ],\n [\n -96.40564338832684,\n 37.394013908611555\n ],\n [\n -74.76198078442837,\n 37.394013908611555\n ],\n [\n -74.76198078442837,\n 45.91506689989822\n ],\n [\n -96.40564338832684,\n 45.91506689989822\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"60","issue":"9","noUsgsAuthors":false,"publicationDate":"2024-09-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Gorski, Galen 0000-0003-0083-4251","orcid":"https://orcid.org/0000-0003-0083-4251","contributorId":329714,"corporation":false,"usgs":true,"family":"Gorski","given":"Galen","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":926442,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larsen, Laurel 0000-0001-7057-5377","orcid":"https://orcid.org/0000-0001-7057-5377","contributorId":298678,"corporation":false,"usgs":false,"family":"Larsen","given":"Laurel","affiliations":[{"id":64654,"text":"University of California, Berkeley, Berkeley, CA, USA","active":true,"usgs":false}],"preferred":false,"id":926443,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wingenroth, Jordan 0000-0002-7970-841X","orcid":"https://orcid.org/0000-0002-7970-841X","contributorId":350622,"corporation":false,"usgs":false,"family":"Wingenroth","given":"Jordan","affiliations":[{"id":36572,"text":"Resources for the Future","active":true,"usgs":false}],"preferred":false,"id":926444,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhang, Liang","contributorId":288484,"corporation":false,"usgs":false,"family":"Zhang","given":"Liang","email":"","affiliations":[{"id":13243,"text":"University of California Berkeley","active":true,"usgs":false}],"preferred":false,"id":926445,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bellugi, Dino","contributorId":148040,"corporation":false,"usgs":false,"family":"Bellugi","given":"Dino","email":"","affiliations":[],"preferred":false,"id":926446,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Appling, Alison P. 0000-0003-3638-8572 aappling@usgs.gov","orcid":"https://orcid.org/0000-0003-3638-8572","contributorId":150595,"corporation":false,"usgs":true,"family":"Appling","given":"Alison","email":"aappling@usgs.gov","middleInitial":"P.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":926447,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70258713,"text":"sir20245042 - 2024 - Groundwater quality near the Placerita Oil Field, California, 2018","interactions":[],"lastModifiedDate":"2025-12-23T22:04:59.870246","indexId":"sir20245042","displayToPublicDate":"2024-09-26T08:40:00","publicationYear":"2024","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":"2024-5042","displayTitle":"Groundwater Quality Near the Placerita Oil Field, California, 2018","title":"Groundwater quality near the Placerita Oil Field, California, 2018","docAbstract":"Groundwater-quality data and potential fluid-migration pathways near the Placerita Oil Field in Los Angeles County, California, were examined by the U.S. Geological Survey to determine if oil-field fluids (water and gas from oil-producing and non-producing zones) have mixed with groundwater resources. Six of the 13 new groundwater samples collected for this study contained petroleum hydrocarbons, thermogenic gas, inorganic chemical signatures, and (or) isotopic values consistent with potential mixing with fluids from hydrocarbon-bearing formations.
For historical groundwater samples, benzene was the most detected petroleum hydrocarbon. The historical groundwater samples with a benzene concentration greater than 0.5 micrograms per liter were from environmental monitoring wells at industrial or commercial facilities unrelated to oil and gas development that, in many cases, have identified soil or groundwater contamination and were not typically analyzed for other constituents that could provide additional lines of evidence for potential mixing with oil-field fluids. Methane was not detected in any of the 12 historical samples with a reported measurement.
Reviewing historical data revealed factors that could potentially adversely affect groundwater quality in the study area. These factors include modified hydraulic gradients caused by large volumes of water extracted from the main production area and reinjected downgradient into nonproducing zones, well-barrier failures in wells constructed in the northern part of the oil field before the 1970s, well-barrier failures in produced-water disposal wells downgradient from the main production area, and naturally occurring hydrocarbons at shallow intervals. The groundwater samples most geochemically similar to samples from hydrocarbon-bearing formations were in areas where hydrocarbons are naturally occurring at shallow intervals and where oil development is at shallow depths. Additional data for hydraulic heads, water quality, and formation temperatures at multiple depths in areas with large injection volumes and well-integrity issues are needed to evaluate whether those factors have contributed to mixing between fluids from oil-producing or injection formations and groundwater resources.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245042","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Stanton, J.S., Landon, M.K., Shimabukuro, D.H., Kulongoski, J.T., Hunt, A.G., McMahon, P.B., Cozzarelli, I.M., Anders, R., and Sowers, T.A., 2024, Groundwater quality near the Placerita Oil Field, California, 2018: U.S. Geological Survey Scientific Investigations Report 2024–5042, 65 p., https://doi.org/10.3133/sir20245042.","productDescription":"Report: ix, 65 p.; 2 Data Releases; 7 Tables","numberOfPages":"65","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-152098","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":462192,"rank":9,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2024/5042/sir20245042_app2_csv.zip","text":"Appendix 2, Tables 2.1–2.7","size":"10.4 KB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":"- CSV files"},{"id":462187,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5042/images/"},{"id":462188,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5042/sir20245042.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2024-5042 XML"},{"id":462186,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245042/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5042 HTML"},{"id":462191,"rank":8,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2024/5042/sir20245042_app2.xlsx","text":"Appendix 2, Tables 2.1–2.7","size":"56.3 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- Supplemental Tables for the Placerita Oil Field Study Area, California, 2018"},{"id":462190,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9G5UD7J","text":"USGS data release","linkHelpText":"Water chemistry data for samples collected at groundwater sites in the Placerita Oil Field study area, June 2018—November 2018, Los Angeles County, California"},{"id":462189,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93KFFR8","text":"USGS data release","linkHelpText":"Produced water chemistry data collected from the Oxnard Oil Field, Ventura County, and the Placerita Oil Field, Los Angeles County, 2018, California"},{"id":462185,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5042/sir20245042.pdf","text":"Report","size":"7.93 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5042 PDF"},{"id":462184,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5042/coverthb.jpg"},{"id":497953,"rank":10,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117501.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"Placerita Oil Field","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.5667,\n 34.4333\n ],\n [\n -118.5667,\n 34.3333\n ],\n [\n -118.4,\n 34.3333\n ],\n [\n -118.4,\n 34.4333\n ],\n [\n -118.5667,\n 34.4333\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819
The U.S. Geological Survey studied groundwater near the Placerita Oil Field in Los Angeles County to see if oil-field fluids have mixed with groundwater. Six out of 13 new samples showed signs of mixing with fluids from hydrocarbon-bearing formations. Historical data revealed factors that could affect groundwater quality, including modified hydraulic gradients, well-barrier failures, and naturally occurring hydrocarbons. More data are needed to evaluate the effects of these factors.
","publicationDate":"2024-09-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Stanton, Jennifer S. 0000-0002-2520-753X jstanton@usgs.gov","orcid":"https://orcid.org/0000-0002-2520-753X","contributorId":830,"corporation":false,"usgs":true,"family":"Stanton","given":"Jennifer","email":"jstanton@usgs.gov","middleInitial":"S.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":913787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Landon, Matthew K. 0000-0002-5766-0494 landon@usgs.gov","orcid":"https://orcid.org/0000-0002-5766-0494","contributorId":392,"corporation":false,"usgs":true,"family":"Landon","given":"Matthew","email":"landon@usgs.gov","middleInitial":"K.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":913788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shimabukuro, David H. 0000-0002-6106-5284","orcid":"https://orcid.org/0000-0002-6106-5284","contributorId":208209,"corporation":false,"usgs":false,"family":"Shimabukuro","given":"David","email":"","middleInitial":"H.","affiliations":[{"id":37762,"text":"California State University, Sacramento","active":true,"usgs":false}],"preferred":false,"id":913789,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kulongoski, Justin T. 0000-0002-3498-4154 kulongos@usgs.gov","orcid":"https://orcid.org/0000-0002-3498-4154","contributorId":173457,"corporation":false,"usgs":true,"family":"Kulongoski","given":"Justin","email":"kulongos@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":913790,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hunt, Andrew G. 0000-0002-3810-8610","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":206197,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew G.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":913791,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McMahon, Peter B. 0000-0001-7452-2379 pmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":724,"corporation":false,"usgs":true,"family":"McMahon","given":"Peter","email":"pmcmahon@usgs.gov","middleInitial":"B.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":913792,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":913793,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Anders, Robert 0000-0002-2363-9072 randers@usgs.gov","orcid":"https://orcid.org/0000-0002-2363-9072","contributorId":1210,"corporation":false,"usgs":true,"family":"Anders","given":"Robert","email":"randers@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":913794,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sowers, Theron A. 0000-0002-3208-5411","orcid":"https://orcid.org/0000-0002-3208-5411","contributorId":211482,"corporation":false,"usgs":false,"family":"Sowers","given":"Theron","email":"","middleInitial":"A.","affiliations":[{"id":37762,"text":"California State University, Sacramento","active":true,"usgs":false}],"preferred":false,"id":913795,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70259106,"text":"70259106 - 2024 - A framework for estimating economic impacts of ecological restoration","interactions":[],"lastModifiedDate":"2024-11-22T16:07:40.961159","indexId":"70259106","displayToPublicDate":"2024-09-26T07:10:39","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"A framework for estimating economic impacts of ecological restoration","docAbstract":"Ecological restoration projects are designed to improve natural and cultural resources. Spending on restoration also stimulates economic impacts to the restoration economy through the creation or support of jobs and business activity. This paper presents accessible methods for quantifying the economic impacts supported by restoration spending and is written to be a guide and toolbox for an interdisciplinary audience of restoration practitioners and economists. Measuring the economic impacts of restoration can be challenging due to lacking or limited data. The complex, collaborative, and heterogeneous nature of restoration projects can make it difficult to clearly track costs, contributing to limited availability and inconsistency in restoration cost data. And business classification systems, such as the North American Industrial Classification System (NAICS), do not include restoration-sectors that consistently describe the patterns of restoration spending. The aims of this paper are to (1) provide restoration practitioners and program managers with a clear understanding of the application of economic impact analyses to restoration, (2) provide a framework for collecting project cost data for economic impact analyses, and (3) provide modeling best practices and an example application of the framework.
This paper introduces cross-fade sampling, a computationally efficient Markov Chain Monte Carlo simulation method that uses a semi-analytical approach to quickly solve Bayesian inverse problems that do not themselves have an analytical solution. Cross-fading is efficient in two ways. First, it requires fewer samples to obtain the same quality simulation of the target probability density function (PDF). Secondly, it is much faster to evaluate the posterior probability of each sample than conventional sampling methods for simulating Bayesian posterior PDFs. Conventional methods require evaluating the prior probability (which describes your a priori constraints) and data likelihood (which describes the fit between the observations and the predictions of the model) for each sample model. However, cross-fading does not require evaluating the data likelihood, meaning that ‘big data’ can be fit with zero additional computational cost. Further, the cross-fading approach can be used to calculate the marginal likelihood associated with a model design, facilitating model comparison and Bayesian model averaging. Topics covered in this paper include derivation of the cross-fade approach and how it can be used to simulate Bayesian posterior PDFs and compute the marginal likelihood, discussion of the class of problems to which cross-fading can be applied (with examples from earthquake statistics, earthquake ground motion modelling, volcanic eruption forecasting, and finite fault slip modelling), demonstration of efficiency relative to existing sampling methods and discussion of how cross-fading can be used to account for prediction errors (i.e. epistemic errors) as part of the geophysical inverse problem.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/gji/ggae353","usgsCitation":"Minson, S.E., 2024, Cross-fade sampling: Extremely efficient Bayesian inversion for a variety of geophysical problems: Geophysical Journal International, v. 239, no. 3, p. 1629-1649, https://doi.org/10.1093/gji/ggae353.","productDescription":"21 p.","startPage":"1629","endPage":"1649","ipdsId":"IP-158117","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":466901,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/gji/ggae353","text":"Publisher Index Page"},{"id":463412,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"239","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-09-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Minson, Sarah E. 0000-0001-5869-3477 sminson@usgs.gov","orcid":"https://orcid.org/0000-0001-5869-3477","contributorId":5357,"corporation":false,"usgs":true,"family":"Minson","given":"Sarah","email":"sminson@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":917419,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70258746,"text":"sir20245071 - 2024 - Pesticides in surface water downstream of and near agricultural and developed land in Hawai‘i, 2015–19","interactions":[],"lastModifiedDate":"2025-12-29T14:29:03.412249","indexId":"sir20245071","displayToPublicDate":"2024-09-25T13:15:46","publicationYear":"2024","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":"2024-5071","displayTitle":"Pesticides in Surface Water Downstream of and Near Agricultural and Developed Land in Hawai‘i, 2015–19","title":"Pesticides in surface water downstream of and near agricultural and developed land in Hawai‘i, 2015–19","docAbstract":"Pesticides and pesticide degradates (herein referred to as pesticides) in surface water were assessed at 78 sites on 4 Hawaiian Islands (Kauaʻi, Oʻahu, Maui, and Island of Hawaiʻi) during 2015–19. Each site was downstream of or near agricultural land, developed land, or both. Most (58) sites were streams; the remaining sites were canals, ditches, anchialine pools, coastal ponds, and the nearshore ocean. Pesticides in water at each site were assessed by collection of one to four water samples, by a weeks-long deployment of a passive sampler, or both. Passive-sampler extracts and water samples, which consisted of fair-weather samples and storm samples, were analyzed for as many as 253 pesticides that consisted of 129 herbicides, 101 insecticides, and 23 fungicides.
A total of 117 pesticides were detected in water. Of these, 30 pesticides were detected at more than 20 percent of their assessment sites and thus were considered “common” pesticides. The common pesticides included 17 herbicides (ametryn, atrazine, bentazon, bromacil, diuron, hexazinone, metolachlor, propazine, simazine, triclopyr, prometryn, and degradates of atrazine [4], diuron, hexazinone, and prometryn); 8 insecticides (carbaryl, dinotefuran, fipronil, flubendiamide, imidacloprid, methoxyfenozide and 2 degradates of fipronil); and 5 fungicides (azoxystrobin, metalaxyl, propiconazole, a degradate of chlorothalonil, and a degradate of thiophanate-methyl and benomyl). Common pesticides typically were present more frequently in storm samples than in fair-weather samples. A mixture of two or more pesticides was detected in 86 percent of the water samples and in water during every passive-sampler deployment.
About 92 percent of all pesticide detections had concentrations less than 100 nanograms per liter. Pesticide concentrations were less than Federal aquatic-life benchmarks (ALBs) for vertebrates and typically were less than ALBs for invertebrates, nonvascular plants, and vascular plants. Acute ALBs were exceeded by acetochlor, atrazine, carbaryl, chlorpyrifos, cis-permethrin, diazinon, diuron, halosulfuron methyl, and imidacloprid in storm samples at one to four sites. ALBs for invertebrates were exceeded by clothianidin, diazinon, fipronil, and imidacloprid in fair-weather samples, during passive-sampler deployments, or both at 1 to 17 sites. Federal drinking water standards were available for only five pesticides detected in water, and the standard for atrazine was exceeded in one storm sample. Pesticide concentrations did not exceed any Federal human-health benchmarks, but many of the detected pesticides did not have a benchmark.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245071","collaboration":"Prepared in cooperation with the State of Hawai‘i Department of Agriculture","usgsCitation":"Johnson, A.G., Kennedy, J.J., and Alvarez, D.A., 2024, Pesticides in surface water downstream of and near agricultural and developed land in Hawai‘i, 2015–19: U.S. Geological Survey Scientific Investigations Report 2024–5071, 94 p., https://doi.org/10.3133/sir20245071.","productDescription":"Report: ix, 94 p.; 3 Data Releases","numberOfPages":"94","onlineOnly":"Y","ipdsId":"IP-154311","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":462624,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9K782ZO","text":"USGS Data Release","description":"Johnson, A.G., and Alvarez, D.A., 2024, Pesticide, organic-contaminant, and wastewater-indicator results for passive samplers deployed in surface water and groundwater in Hawai‘i, 2015–19: U.S. Geological Survey data release, https://doi.org/10.5066/P9K782ZO.","linkHelpText":"Pesticide, organic-contaminant, and wastewater-indicator results for passive samplers deployed in surface water and groundwater in Hawai‘i, 2015–19"},{"id":462625,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P95XY6ZY","text":"USGS Data Release","description":"Johnson, A.G., and Kennedy, J.J., 2024, Surface-water sites in Hawai‘i where pesticides were assessed, 2015–19: U.S. Geological Survey data release, https://doi.org/10.5066/P95XY6ZY.","linkHelpText":"Surface-water sites in Hawai‘i where pesticides were assessed, 2015–19"},{"id":462623,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9WX2RGU","text":"USGS Data Release","description":"Johnson, A.G. 2024, Pesticide concentrations in water samples and quality-control samples collected at surface-water sites in Hawai‘i, 2016–19: U.S. Geological Survey data release, https://doi.org/10.5066/P9WX2RGU.","linkHelpText":"Pesticide concentrations in water samples and quality-control samples collected at surface-water sites in Hawai‘i, 2016–19"},{"id":462622,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5071/sir20245071.pdf","text":"Report","size":"13 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":462251,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5071/covrthb.jpg"},{"id":497954,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117499.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Hawaii","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-155.778234,20.245743],[-155.772734,20.245409],[-155.746893,20.232325],[-155.737004,20.222773],[-155.735822,20.212417],[-155.732704,20.205392],[-155.653966,20.16736],[-155.630382,20.146916],[-155.624565,20.145911],[-155.607797,20.137987],[-155.600909,20.126573],[-155.598033,20.124539],[-155.590923,20.122497],[-155.58168,20.123617],[-155.568368,20.130545],[-155.558933,20.13157],[-155.523661,20.120028],[-155.516795,20.11523],[-155.502561,20.114155],[-155.468211,20.104296],[-155.443957,20.095318],[-155.405459,20.078772],[-155.4024,20.075541],[-155.387578,20.067119],[-155.33021,20.038517],[-155.29548,20.024438],[-155.282629,20.021969],[-155.270316,20.014525],[-155.240933,19.990173],[-155.204486,19.969438],[-155.194593,19.958368],[-155.179939,19.949372],[-155.149215,19.922872],[-155.144394,19.920523],[-155.131235,19.906801],[-155.124618,19.897288],[-155.12175,19.886099],[-155.107541,19.872467],[-155.098716,19.867811],[-155.095032,19.867882],[-155.086341,19.855399],[-155.084357,19.849736],[-155.085674,19.838584],[-155.088979,19.826656],[-155.094414,19.81491],[-155.09207,19.799409],[-155.091216,19.776368],[-155.093517,19.771832],[-155.093387,19.737751],[-155.087118,19.728013],[-155.079426,19.726193],[-155.063972,19.728917],[-155.045382,19.739824],[-155.006423,19.739286],[-154.997278,19.72858],[-154.987168,19.708524],[-154.981102,19.690687],[-154.984718,19.672161],[-154.983778,19.641647],[-154.974342,19.633201],[-154.963933,19.627605],[-154.950359,19.626461],[-154.947874,19.62425],[-154.947718,19.621947],[-154.951014,19.613614],[-154.947106,19.604856],[-154.93394,19.597505],[-154.928205,19.592702],[-154.924422,19.586553],[-154.903542,19.570622],[-154.875,19.556797],[-154.852618,19.549172],[-154.837384,19.538354],[-154.826732,19.537626],[-154.814417,19.53009],[-154.809561,19.522377],[-154.809379,19.519086],[-154.822968,19.48129],[-154.838545,19.463642],[-154.86854,19.438126],[-154.887817,19.426425],[-154.928772,19.397646],[-154.944185,19.381852],[-154.964619,19.365646],[-154.980861,19.349291],[-155.020537,19.331317],[-155.061729,19.316636],[-155.113272,19.290613],[-155.1337,19.276099],[-155.159635,19.268375],[-155.172413,19.26906],[-155.187427,19.266156],[-155.19626,19.261295],[-155.205892,19.260907],[-155.243961,19.271313],[-155.264619,19.274213],[-155.296761,19.266289],[-155.303808,19.261835],[-155.31337,19.250698],[-155.341268,19.234039],[-155.349148,19.217756],[-155.360631,19.20893],[-155.378638,19.202435],[-155.390701,19.201171],[-155.417369,19.187858],[-155.427093,19.179546],[-155.432519,19.170623],[-155.453516,19.151952],[-155.465663,19.146964],[-155.505281,19.137908],[-155.51474,19.132501],[-155.51214,19.128174],[-155.512137,19.124296],[-155.519652,19.117025],[-155.526136,19.115889],[-155.528902,19.11371],[-155.544806,19.091059],[-155.551129,19.08878],[-155.557817,19.08213],[-155.555326,19.069377],[-155.555177,19.053932],[-155.557371,19.046565],[-155.566446,19.032531],[-155.576599,19.027412],[-155.581903,19.02224],[-155.596032,18.998833],[-155.596521,18.980654],[-155.601866,18.971572],[-155.613966,18.970399],[-155.625256,18.961951],[-155.625,18.959934],[-155.638054,18.941723],[-155.658486,18.924835],[-155.672005,18.917466],[-155.681825,18.918694],[-155.687716,18.923358],[-155.690171,18.932195],[-155.693117,18.940542],[-155.726043,18.969437],[-155.763598,18.981837],[-155.806109,19.013967],[-155.853943,19.023762],[-155.88155,19.036644],[-155.884077,19.039266],[-155.886278,19.05576],[-155.903693,19.080777],[-155.908355,19.081138],[-155.921389,19.121183],[-155.917292,19.155963],[-155.903339,19.217792],[-155.90491,19.230147],[-155.902565,19.258427],[-155.895435,19.274639],[-155.890842,19.298905],[-155.887356,19.337101],[-155.888701,19.348031],[-155.898792,19.377984],[-155.913849,19.401107],[-155.909087,19.415455],[-155.921707,19.43055],[-155.924269,19.438794],[-155.925166,19.468081],[-155.922609,19.478611],[-155.924124,19.481406],[-155.930523,19.484921],[-155.935641,19.485628],[-155.936403,19.481905],[-155.939145,19.481577],[-155.95149,19.486649],[-155.952897,19.488805],[-155.953663,19.510003],[-155.960457,19.546612],[-155.962264,19.551779],[-155.965211,19.554745],[-155.96935,19.555963],[-155.970969,19.586328],[-155.978206,19.608159],[-155.997728,19.642816],[-156.028982,19.650098],[-156.032928,19.653905],[-156.034994,19.65936],[-156.033326,19.66923],[-156.027427,19.672154],[-156.029281,19.678908],[-156.036079,19.690252],[-156.04796,19.698938],[-156.051652,19.703649],[-156.052485,19.718667],[-156.064364,19.730766],[-156.05722,19.742536],[-156.052315,19.756836],[-156.049651,19.780452],[-156.021732,19.8022],[-156.006267,19.81758],[-155.982821,19.845651],[-155.976651,19.85053],[-155.964817,19.855183],[-155.949251,19.857034],[-155.945297,19.853443],[-155.940311,19.852305],[-155.925843,19.858928],[-155.926938,19.870221],[-155.92549,19.875],[-155.915662,19.887126],[-155.901987,19.912081],[-155.894099,19.923135],[-155.894474,19.926927],[-155.892533,19.932162],[-155.866919,19.954172],[-155.856588,19.968885],[-155.840708,19.976952],[-155.838692,19.975527],[-155.835312,19.976078],[-155.831948,19.982775],[-155.828965,19.995542],[-155.825473,20.025944],[-155.828182,20.035424],[-155.850385,20.062506],[-155.866931,20.078652],[-155.88419,20.10675],[-155.899149,20.145728],[-155.906035,20.205157],[-155.901452,20.235787],[-155.890663,20.25524],[-155.882631,20.263026],[-155.873921,20.267744],[-155.853293,20.271548],[-155.811459,20.26032],[-155.783242,20.246395],[-155.778234,20.245743]]],[[[-157.789581,21.438396],[-157.789734,21.437679],[-157.789276,21.435833],[-157.790543,21.434313],[-157.791718,21.434881],[-157.793045,21.43391],[-157.793167,21.43574],[-157.791565,21.43651],[-157.791779,21.437752],[-157.793289,21.437658],[-157.791779,21.438435],[-157.791092,21.438442],[-157.790741,21.43874],[-157.789581,21.438396]]],[[[-160.125,21.95909],[-160.122262,21.962881],[-160.112746,21.995245],[-160.09645,22.001489],[-160.072123,22.003334],[-160.058543,21.99638],[-160.051992,21.983681],[-160.052729,21.980321],[-160.056336,21.977939],[-160.060549,21.976729],[-160.063349,21.978354],[-160.065811,21.976562],[-160.078393,21.955153],[-160.085787,21.927295],[-160.080012,21.910808],[-160.079065,21.89608],[-160.098897,21.884711],[-160.124283,21.876789],[-160.147609,21.872814],[-160.16162,21.864746],[-160.174796,21.846923],[-160.189782,21.82245],[-160.205211,21.789053],[-160.200427,21.786479],[-160.205851,21.779518],[-160.218044,21.783755],[-160.23478,21.795418],[-160.24961,21.815145],[-160.244943,21.848943],[-160.231028,21.886263],[-160.228965,21.889117],[-160.21383,21.899193],[-160.205528,21.907507],[-160.202716,21.912422],[-160.190158,21.923592],[-160.167471,21.932863],[-160.13705,21.948632],[-160.127302,21.955508],[-160.125,21.95909]]],[[[-159.431707,22.220015],[-159.40732,22.230555],[-159.388119,22.223252],[-159.385977,22.220009],[-159.367563,22.214906],[-159.359842,22.214831],[-159.357227,22.217744],[-159.353795,22.217669],[-159.339964,22.208519],[-159.315613,22.186817],[-159.308855,22.155555],[-159.297808,22.149748],[-159.295875,22.144547],[-159.295271,22.13039],[-159.297143,22.113815],[-159.317451,22.080944],[-159.321667,22.063411],[-159.324775,22.05867],[-159.333267,22.054639],[-159.337996,22.046575],[-159.341401,22.028978],[-159.333224,21.973005],[-159.333109,21.964176],[-159.334714,21.961099],[-159.350828,21.950817],[-159.356613,21.939546],[-159.382349,21.924479],[-159.408284,21.897781],[-159.425862,21.884527],[-159.446599,21.871647],[-159.471962,21.88292],[-159.490914,21.888898],[-159.517973,21.890996],[-159.555415,21.891355],[-159.574991,21.896585],[-159.577784,21.900486],[-159.584272,21.899038],[-159.610241,21.898356],[-159.637849,21.917166],[-159.648132,21.93297],[-159.671872,21.957038],[-159.681493,21.960054],[-159.705255,21.963427],[-159.72014,21.970789],[-159.758218,21.980694],[-159.765735,21.986593],[-159.788139,22.018411],[-159.790932,22.031177],[-159.786543,22.06369],[-159.780096,22.072567],[-159.748159,22.100388],[-159.741223,22.115666],[-159.733457,22.142756],[-159.726043,22.152171],[-159.699978,22.165252],[-159.66984,22.170782],[-159.608794,22.207878],[-159.591596,22.219456],[-159.583965,22.22668],[-159.559643,22.229185],[-159.554166,22.228212],[-159.548594,22.226263],[-159.54115,22.216764],[-159.534594,22.219403],[-159.523769,22.217602],[-159.51941,22.215646],[-159.518348,22.211182],[-159.515574,22.208008],[-159.507811,22.205987],[-159.501055,22.211064],[-159.500821,22.225538],[-159.488558,22.23317],[-159.480158,22.232715],[-159.467007,22.226529],[-159.45619,22.228811],[-159.441809,22.226321],[-159.431707,22.220015]]],[[[-157.014553,21.185503],[-156.999108,21.182221],[-156.991318,21.18551],[-156.987768,21.18935],[-156.982343,21.207798],[-156.984464,21.210063],[-156.984032,21.212198],[-156.974002,21.218503],[-156.969064,21.217018],[-156.962847,21.212131],[-156.951654,21.191662],[-156.950808,21.182636],[-156.946159,21.175963],[-156.918248,21.168279],[-156.903466,21.16421],[-156.898174,21.16594],[-156.89613,21.169561],[-156.896537,21.172208],[-156.867944,21.16452],[-156.841592,21.167926],[-156.821944,21.174693],[-156.771495,21.180053],[-156.742231,21.176214],[-156.738341,21.17202],[-156.736648,21.16188],[-156.719386,21.163911],[-156.712696,21.161547],[-156.714158,21.152238],[-156.726033,21.13236],[-156.748932,21.1086],[-156.775995,21.089751],[-156.790815,21.081686],[-156.794136,21.075796],[-156.835351,21.06336],[-156.865795,21.057801],[-156.877137,21.0493],[-156.891946,21.051831],[-156.89517,21.055771],[-156.953719,21.067761],[-157.00295,21.083282],[-157.02617,21.089015],[-157.032045,21.091094],[-157.037667,21.097864],[-157.079696,21.105835],[-157.095373,21.10636],[-157.125,21.1026],[-157.143483,21.096632],[-157.254061,21.090601],[-157.298054,21.096917],[-157.313343,21.105755],[-157.299187,21.132488],[-157.299471,21.135972],[-157.293774,21.146127],[-157.284346,21.157755],[-157.276474,21.163175],[-157.274504,21.162762],[-157.259911,21.174875],[-157.254709,21.181376],[-157.251007,21.190952],[-157.25026,21.207739],[-157.256935,21.215665],[-157.261457,21.217661],[-157.263163,21.220873],[-157.26069,21.225684],[-157.257085,21.227268],[-157.241534,21.220969],[-157.226445,21.220185],[-157.212082,21.221848],[-157.202125,21.219298],[-157.192439,21.207644],[-157.185553,21.205602],[-157.157103,21.200706],[-157.148125,21.200745],[-157.144627,21.202555],[-157.128207,21.201488],[-157.113438,21.197375],[-157.097971,21.198012],[-157.064264,21.189076],[-157.053053,21.188754],[-157.047757,21.190739],[-157.039987,21.190909],[-157.014553,21.185503]]],[[[-156.544169,20.522802],[-156.550016,20.520273],[-156.559994,20.521892],[-156.586238,20.511711],[-156.603844,20.524372],[-156.631143,20.514943],[-156.642347,20.508285],[-156.647464,20.512017],[-156.668809,20.504738],[-156.682939,20.506775],[-156.703673,20.527237],[-156.702265,20.532451],[-156.696662,20.541646],[-156.6801,20.557021],[-156.651567,20.565574],[-156.614598,20.587109],[-156.610734,20.59377],[-156.576871,20.60657],[-156.56714,20.604895],[-156.553604,20.594729],[-156.543034,20.580115],[-156.542808,20.573674],[-156.548909,20.56859],[-156.556021,20.542657],[-156.553018,20.539382],[-156.540189,20.534741],[-156.539643,20.527644],[-156.544169,20.522802]]],[[[-156.612012,21.02477],[-156.612065,21.027273],[-156.606238,21.034371],[-156.592256,21.03288],[-156.580448,21.020172],[-156.562773,21.016167],[-156.549813,21.004939],[-156.546291,21.005082],[-156.528246,20.967757],[-156.518707,20.954662],[-156.512226,20.95128],[-156.510391,20.940358],[-156.507913,20.937886],[-156.49948,20.934577],[-156.495883,20.928005],[-156.493263,20.916011],[-156.481055,20.898199],[-156.474796,20.894546],[-156.422668,20.911631],[-156.386045,20.919563],[-156.374297,20.927616],[-156.370729,20.932669],[-156.352649,20.941414],[-156.345655,20.941596],[-156.342365,20.938737],[-156.332817,20.94645],[-156.324578,20.950184],[-156.307198,20.942739],[-156.286332,20.947701],[-156.275116,20.937361],[-156.263107,20.940888],[-156.242555,20.937838],[-156.230159,20.931936],[-156.230089,20.917864],[-156.226757,20.916677],[-156.222062,20.918309],[-156.217953,20.916573],[-156.216341,20.907035],[-156.173103,20.876926],[-156.170458,20.874605],[-156.166746,20.865646],[-156.132669,20.861369],[-156.129381,20.847513],[-156.115735,20.827301],[-156.100123,20.828502],[-156.090291,20.831872],[-156.059788,20.81054],[-156.033287,20.808246],[-156.003532,20.795545],[-156.002947,20.789418],[-155.987944,20.776552],[-155.984587,20.767496],[-155.986851,20.758577],[-155.985413,20.744245],[-155.987216,20.722717],[-155.991534,20.713654],[-156.00187,20.698064],[-156.01415,20.685681],[-156.020044,20.686857],[-156.030702,20.682452],[-156.040341,20.672719],[-156.043786,20.664902],[-156.053385,20.65432],[-156.059753,20.652044],[-156.081472,20.654387],[-156.089365,20.648519],[-156.120985,20.633685],[-156.129898,20.627523],[-156.142665,20.623605],[-156.144588,20.624032],[-156.148085,20.629067],[-156.156772,20.629639],[-156.169732,20.627358],[-156.173393,20.6241],[-156.184556,20.629719],[-156.192938,20.631769],[-156.210258,20.628518],[-156.225338,20.62294],[-156.236145,20.61595],[-156.265921,20.601629],[-156.284391,20.596488],[-156.288037,20.59203],[-156.293454,20.588783],[-156.302692,20.586199],[-156.322944,20.588273],[-156.351716,20.58697],[-156.359634,20.581977],[-156.370725,20.57876],[-156.377633,20.578427],[-156.415313,20.586099],[-156.417523,20.589728],[-156.415746,20.594044],[-156.417799,20.598682],[-156.423141,20.602079],[-156.427708,20.598873],[-156.431872,20.598143],[-156.438385,20.601337],[-156.444242,20.607941],[-156.442884,20.613842],[-156.450651,20.642212],[-156.445894,20.64927],[-156.443673,20.656018],[-156.448656,20.704739],[-156.451038,20.725469],[-156.452895,20.731287],[-156.458438,20.736676],[-156.462242,20.753952],[-156.462058,20.772571],[-156.464043,20.781667],[-156.473562,20.790756],[-156.489496,20.798339],[-156.501688,20.799933],[-156.506026,20.799463],[-156.515994,20.794234],[-156.525215,20.780821],[-156.537752,20.778408],[-156.631794,20.82124],[-156.678634,20.870541],[-156.688969,20.888673],[-156.687804,20.89072],[-156.688132,20.906325],[-156.691334,20.91244],[-156.697418,20.916368],[-156.69989,20.920629],[-156.69411,20.952708],[-156.680905,20.980262],[-156.665514,21.007054],[-156.652419,21.008994],[-156.645966,21.014416],[-156.642592,21.019936],[-156.644167,21.022312],[-156.642809,21.027583],[-156.619581,21.027793],[-156.612012,21.02477]]],[[[-157.010001,20.929757],[-156.989813,20.932127],[-156.971604,20.926254],[-156.937529,20.925274],[-156.91845,20.922546],[-156.897169,20.915395],[-156.837047,20.863575],[-156.825237,20.850731],[-156.809576,20.826036],[-156.808469,20.820396],[-156.809463,20.809169],[-156.817427,20.794606],[-156.838321,20.764575],[-156.846413,20.760201],[-156.851481,20.760069],[-156.869753,20.754701],[-156.890295,20.744855],[-156.909081,20.739533],[-156.949009,20.738997],[-156.96789,20.73508],[-156.984747,20.756677],[-156.994001,20.786671],[-156.988933,20.815496],[-156.991834,20.826603],[-157.006243,20.849603],[-157.010911,20.854476],[-157.054552,20.877219],[-157.059663,20.884634],[-157.061128,20.890635],[-157.062511,20.904385],[-157.05913,20.913407],[-157.035789,20.927078],[-157.025626,20.929528],[-157.010001,20.929757]]],[[[-158.044485,21.306011],[-158.0883,21.2988],[-158.1033,21.2979],[-158.1127,21.3019],[-158.1211,21.3169],[-158.1225,21.3224],[-158.111949,21.326622],[-158.114196,21.331123],[-158.119427,21.334594],[-158.125459,21.330264],[-158.13324,21.359207],[-158.1403,21.3738],[-158.149719,21.385208],[-158.161743,21.396282],[-158.1792,21.4043],[-158.181274,21.409626],[-158.181,21.420868],[-158.182648,21.430073],[-158.192352,21.44804],[-158.205383,21.459793],[-158.219446,21.46978],[-158.233,21.4876],[-158.231171,21.523857],[-158.23175,21.533035],[-158.234314,21.540058],[-158.250671,21.557373],[-158.27951,21.575794],[-158.277679,21.578789],[-158.254425,21.582684],[-158.190704,21.585892],[-158.17,21.5823],[-158.12561,21.586739],[-158.10672,21.596577],[-158.106689,21.603024],[-158.1095,21.6057],[-158.108185,21.607487],[-158.079895,21.628101],[-158.0668,21.6437],[-158.066711,21.65234],[-158.0639,21.6584],[-158.0372,21.6843],[-158.018127,21.699955],[-157.9923,21.708],[-157.98703,21.712494],[-157.968628,21.712704],[-157.947174,21.689568],[-157.939,21.669],[-157.9301,21.6552],[-157.924591,21.651183],[-157.9228,21.6361],[-157.9238,21.6293],[-157.910797,21.611183],[-157.900574,21.605885],[-157.87735,21.575277],[-157.878601,21.560181],[-157.872528,21.557568],[-157.8669,21.5637],[-157.85614,21.560661],[-157.85257,21.557514],[-157.836945,21.529945],[-157.837372,21.512085],[-157.849579,21.509598],[-157.852625,21.499971],[-157.84549,21.466747],[-157.84099,21.459483],[-157.82489,21.455379],[-157.8163,21.4502],[-157.8139,21.4403],[-157.8059,21.4301],[-157.786513,21.415633],[-157.779846,21.417309],[-157.774455,21.421352],[-157.772209,21.431236],[-157.774905,21.453698],[-157.772209,21.457741],[-157.764572,21.461335],[-157.754239,21.461335],[-157.737617,21.459089],[-157.731777,21.455944],[-157.731328,21.444713],[-157.73582,21.438424],[-157.740762,21.424048],[-157.741211,21.414614],[-157.7386,21.4043],[-157.730191,21.401871],[-157.728221,21.402104],[-157.726421,21.402845],[-157.724324,21.403311],[-157.723794,21.40329],[-157.723286,21.403227],[-157.722735,21.403121],[-157.722544,21.403036],[-157.721845,21.401596],[-157.721083,21.399541],[-157.7189,21.3961],[-157.7089,21.3833],[-157.7087,21.3793],[-157.7126,21.3689],[-157.7106,21.3585],[-157.7088,21.3534],[-157.6971,21.3364],[-157.6938,21.3329],[-157.6619,21.3131],[-157.6518,21.3139],[-157.652629,21.308709],[-157.6537,21.302],[-157.6946,21.2739],[-157.6944,21.2665],[-157.7001,21.264],[-157.7097,21.2621],[-157.7139,21.2638],[-157.7142,21.2665],[-157.7114,21.272],[-157.7122,21.2814],[-157.7143,21.2845],[-157.7213,21.2869],[-157.7572,21.278],[-157.765,21.2789],[-157.7782,21.2735],[-157.7931,21.2604],[-157.8096,21.2577],[-157.8211,21.2606],[-157.8241,21.2646],[-157.8253,21.2714],[-157.8319,21.2795],[-157.8457,21.29],[-157.89,21.3065],[-157.894518,21.319632],[-157.898969,21.327391],[-157.90482,21.329172],[-157.918939,21.318615],[-157.917921,21.313781],[-157.913469,21.310983],[-157.910925,21.305768],[-157.952263,21.306531],[-157.950736,21.312509],[-157.951881,21.318742],[-157.967971,21.327986],[-157.973334,21.327426],[-157.989424,21.317984],[-158.0245,21.3093],[-158.044485,21.306011]]]]},\"properties\":{\"name\":\"Hawaii\",\"nation\":\"USA \"}}]}","contact":"Director,
Pacific Islands Water Science Center
U.S. Geological Survey
Inouye Regional Center
1845 Wasp Blvd., B176
Honolulu, HI 96818
National parks and preserves in the South Atlantic-Gulf Region contain valuable coastal habitats such as tidal wetlands and mangrove forests, as well as irreplaceable historic buildings and archeological sites located in low-lying areas. These natural and cultural resources are vulnerable to accelerated sea-level rise and escalating high tide flooding events. Through a Natural Resources Preservation Program-funded project during 2021–23, the U.S. Geological Survey, in collaboration with the National Park Service, estimated the probability of inundation at San Juan National Historic Site, Puerto Rico, and several other parks under various sea-level rise scenarios and contemporary high tide flooding thresholds. The maps produced for this effort can be used to assess potential habitat change and explore how infrastructure and cultural resources within the park may be exposed to future flooding-related hazards.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20243021","issn":"2327-6932","collaboration":"Prepared in collaboration with the National Park Service","usgsCitation":"Thurman, H.R., Enwright, N.M., Osland, M.J., Passeri, D.L., Day, R.H., and Simons, B.M., 2024, Projected sea-level rise and high tide flooding at San Juan National Historic Site, Puerto Rico: U.S. Geological Survey Fact Sheet 2024–3021, 6 p., https://doi.org/10.3133/fs20243021.","productDescription":"Report: 6 p.; Data Release","numberOfPages":"6","onlineOnly":"Y","ipdsId":"IP-156844","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":497956,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117503.htm","linkFileType":{"id":5,"text":"html"}},{"id":462351,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/fs20243008","text":"USGS Fact Sheet 2024-3008","description":"FS 2024-3008","linkHelpText":"- Projected Sea-Level Rise and High Tide Flooding at Timucuan Ecological and Historic Preserve, Florida"},{"id":462349,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/fs20243023","text":"USGS Fact Sheet 2024-3023","description":"FS 2024-3023","linkHelpText":"- Projected Sea-Level Rise and High Tide Flooding at Dry Tortugas National Park, Florida"},{"id":462141,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2024/3021/fs20243021.pdf","size":"3.76 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2024-3021"},{"id":462142,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GKQT13","text":"USGS Data Release","linkHelpText":"Sea-level rise and high tide flooding inundation probability and depth statistics at San Juan National Historic Site, Puerto Rico"},{"id":462140,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2024/3021/coverthb.jpg"},{"id":462350,"rank":8,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/fs20243024","text":"USGS Fact Sheet 2024-3024","description":"FS2024-3024","linkHelpText":"- Projected Sea-Level Rise and High Tide Flooding at Biscayne National Park, Florida"},{"id":462352,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/fs20243022","text":"USGS Fact Sheet 2024-3022","description":"FS 2024-3022","linkHelpText":"- Projected Sea-Level Rise and High Tide Flooding at Big Cypress National Preserve, Florida"},{"id":462353,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/fs20243016","text":"USGS Fact Sheet 2024-3016","description":"FS 2024-3016","linkHelpText":"- Projected Sea-Level Rise and High Tide Flooding at De Soto National Memorial, Florida"}],"country":"United States","otherGeospatial":"San Juan National Historic Site","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -66.14822077462958,\n 18.477902946276473\n ],\n [\n -66.14822077462958,\n 18.454711725978513\n ],\n [\n -66.10248459843638,\n 18.454711725978513\n ],\n [\n -66.10248459843638,\n 18.477902946276473\n ],\n [\n -66.14822077462958,\n 18.477902946276473\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Wetland and Aquatic Research Center
U.S. Geological Survey
700 Cajundome Blvd.
Lafayette, LA 70506–3152
Contact Us- USGS Publications Warehouse
","tableOfContents":"Spatial and temporal distribution data provide critical information for invasive species management. For example, distribution data can help managers with early detections and guiding other response actions. Environmental DNA (eDNA)-based sampling exists as one tool for monitoring invasive species. As part of bigheaded carp Hypophthalmichthys spp. monitoring efforts in the Illinois River, USA, we compared eDNA-based sampling results at multiple habitats across an invasion gradient in 2015. Greater densities of carp occurred downriver in the Illinois River and lower densities occurred upriver. We sampled from five locations along this gradient and from three habitat types (backwater, main channel, and shoreline) within each location. We sampled each location in April and June. A priori, we hypothesized that more eDNA detections would occur downriver, where higher densities of carp occur; that more eDNA detections would occur in backwater habitats compared to areas of the river with more fish movement; and that more eDNA detections would occur in April, because bigheaded carps are thought to use our sampling areas more during the spring. We compared the proportion of samples positive across this gradient, the habitat type, and the two sampling time periods. The most downriver location had the highest proportion of samples with eDNA detections, the backwater habitats had the highest proportion of samples with eDNA detections, and April had more positive detections than June. Our results highlight the importance of sampling across multiple habitat types and across time to gain a clear understanding of distribution when using eDNA-based sampling. Thus, being cognizant of the interactions between seasonal habitat use and eDNA-based detections is important for managers who rely upon eDNA-based monitoring.
","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/JFWM-23-038","usgsCitation":"Peterman, L.L., Tuttle-Lau, M.T., DeHaan, P.W., Coulter, D.P., Spear, S.F., and Erickson, R.A., 2024, Spatial variation of eDNA detection across an invasion gradient for invasive species monitoring programs: Journal of Fish and Wildlife Management, v. 15, no. 2, p. 350-360, https://doi.org/10.3996/JFWM-23-038.","productDescription":"11 p.","startPage":"350","endPage":"360","ipdsId":"IP-138781","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":466902,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/jfwm-23-038","text":"Publisher Index Page"},{"id":462743,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois","otherGeospatial":"Illinois River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -87.97996788684303,\n 41.96009875147479\n ],\n [\n -89.36825568969475,\n 41.96009875147479\n ],\n [\n -89.36825568969475,\n 40.943421835218516\n ],\n [\n -87.97996788684303,\n 40.943421835218516\n ],\n [\n -87.97996788684303,\n 41.96009875147479\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-03-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Peterman, Laura Lynne 0000-0001-6976-4138","orcid":"https://orcid.org/0000-0001-6976-4138","contributorId":328472,"corporation":false,"usgs":true,"family":"Peterman","given":"Laura","email":"","middleInitial":"Lynne","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":915401,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tuttle-Lau, Maren T.","contributorId":146196,"corporation":false,"usgs":false,"family":"Tuttle-Lau","given":"Maren","email":"","middleInitial":"T.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":915402,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeHaan, Patrick W.","contributorId":145918,"corporation":false,"usgs":false,"family":"DeHaan","given":"Patrick","email":"","middleInitial":"W.","affiliations":[{"id":16297,"text":"USFWS Abernathy Fish Technology Center, Longview, WA 98632","active":true,"usgs":false}],"preferred":false,"id":915403,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coulter, David P.","contributorId":205629,"corporation":false,"usgs":false,"family":"Coulter","given":"David","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":915404,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Spear, Stephen Frank 0000-0001-8351-9382","orcid":"https://orcid.org/0000-0001-8351-9382","contributorId":293162,"corporation":false,"usgs":true,"family":"Spear","given":"Stephen","email":"","middleInitial":"Frank","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":915405,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":915406,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70259609,"text":"70259609 - 2024 - Groundwater-Surface water interactions research: Past trends and future directions","interactions":[],"lastModifiedDate":"2024-10-17T11:58:22.178363","indexId":"70259609","displayToPublicDate":"2024-09-25T06:55:28","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater-Surface water interactions research: Past trends and future directions","docAbstract":"The U.S. Geological Survey (USGS) in partnership with the International Joint Commission installed and operated continuous water-quality monitors at three sites on the Souris River from May 2019 to October 2023. Continuously recorded data included dissolved oxygen (DO), water temperature, and specific conductance at the Souris River near Sherwood, North Dakota (USGS station 05114000), Souris River above Minot, N. Dak. (USGS station 05117500), and Souris River near Westhope, N. Dak (USGS station 05124000). The three sites on the Souris River were chosen for additional DO monitoring because they provided the best opportunity to capture potential effects on DO in areas downstream from major flow control structures and because identifying the connection of streamflow to DO at the international border is a focus of the International Souris River Board (ISRB).
The continuous water-quality monitoring at three sites on the Souris River from May 16, 2019, to October 1, 2023, indicated different patterns in DO among the three sites, and the different patterns indicate different factors affect DO concentrations among the sites. DO concentrations near Sherwood indicated the strong effect of algal dynamics at lower streamflow conditions with large diurnal fluctuations in DO concentration and indicated that streamflow does seem to affect DO concentrations when the streamflow is greater than about 100 cubic feet per second. DO concentrations were also frequently less than the water-quality objective (WQO) of 5 milligrams per liter in the summer and winter months, particularly during relatively low streamflow conditions in 2020 and 2021. DO concentrations above Minot had a different pattern with considerably fewer diurnal fluctuations than near Sherwood, high DO concentrations most winters except for the winter of 2021–22, and fewer instances when the DO was less than the WQO compared to Sherwood. The pattern of DO concentrations near Westhope seemed to be mainly influenced by the water chemistry coming out of J. Clark Salyer Pool 357 rather than streamflow and channel conditions at the site. The Westhope site also had the most days with daily minimum DO concentrations less than the WQO among the three sites, mainly in the winter when concentrations were consistently at or near 0 milligrams per liter for most of the winter months.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241043","collaboration":"Prepared in cooperation with the International Joint Commission","usgsCitation":"Galloway, J.M., 2024, Dissolved oxygen monitoring on the Souris River, 2019–23: U.S. Geological Survey Open-File Report 2024–1043, 13 p., https://doi.org/10.3133/ofr20241043.","productDescription":"Report: iv, 13 p.; Dataset","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-167787","costCenters":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":497955,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117500.htm","linkFileType":{"id":5,"text":"html"}},{"id":462183,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241043/full"},{"id":462182,"rank":5,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"- USGS water data for the Nation"},{"id":462181,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1043/images/"},{"id":462180,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1043/ofr20241043.XML"},{"id":462179,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1043/ofr20241043.pdf","text":"Report","size":"3.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024–1043"},{"id":462178,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1043/coverthb.jpg"}],"country":"Canada, United States","state":"North Dakota","otherGeospatial":"Souris River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.03302625208204,\n 50.79350866915286\n ],\n [\n -105.03302625208204,\n 47.533599370512235\n ],\n [\n -98.11163953333218,\n 47.533599370512235\n ],\n [\n -98.11163953333218,\n 50.79350866915286\n ],\n [\n -105.03302625208204,\n 50.79350866915286\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Dakota Water Science Center
U.S. Geological Survey
821 East Interstate Avenue
Bismarck, ND 58503
1608 Mountain View Road
Rapid City, SD 57702
The U.S. Geological Survey, in cooperation with Colorado Springs Utilities and Colorado Springs Stormwater Enterprise, synthesized previous studies and evaluated recent monitoring data to understand the distribution of fish and invertebrates in the Fountain Creek Basin and documented response to streamflow, water temperature, and water quality. The goal was to identify opportunities for aligning data collection to help maximize information gained from additional monitoring. Fifty-two publications were compiled from the literature that were completed within the study area between 1964 and 2022. Of these publications, 19 were fish and invertebrate focused. Overall, the distribution of fish and invertebrates in the Fountain Creek Basin has changed since the early 1900s. The occurrence of several fish species has increased or decreased since 2003, and a few species have not been collected in more than 100 years. Several mayfly, stonefly, and caddisfly taxa once common at several locations before 2000 are now rarely encountered, and those that now occur more frequently are associated with warmer-water streams. Decreasing invertebrate multimetric index values were noted at six locations, and the invasive Potamopyrgus antipodarum (New Zealand mud snail) is now established at two locations and occurs at several others, but in low numbers. Various streamflow characteristics were frequently noted to affect spatial and temporal patterns in fish and invertebrate communities, including early development and recruitment of Platygobio gracilis (flathead chub). Water quality and temperature contributed to patterns in aquatic communities, but less is known about the direct effects as these data were inconsistently available. Reach-scale habitat also contributed to patterns in aquatic communities, especially measures associated with the streambank, stream channel, and composition of streambed substrate. Moving forward, aligning consistent streamflow, water temperature, water quality, and geomorphic data collection at fish-, invertebrate-, and habitat-monitoring locations could maximize information gained from monitoring efforts and potentially inform evolving management activities and interests within the basin.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245074","collaboration":"Prepared in cooperation with Colorado Springs Utilities and Colorado Springs Stormwater Enterprise","usgsCitation":"Zuellig, R.E., Wahl, C.F., Hennessy, E.K., Jouney, A., and Foutz, P., 2024, Evaluation and review of ecology-focused stream studies to support cooperative monitoring, Fountain Creek Basin, Colorado: U.S. Geological Survey Scientific Investigations Report 2024–5074, 30 p., https://doi.org/10.3133/sir20245074.","productDescription":"Report: vii, 30 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-158983","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":497958,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117504.htm","linkFileType":{"id":5,"text":"html"}},{"id":462209,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245074/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5074"},{"id":462156,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5074/images"},{"id":462112,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P91QQ6GT","text":"USGS data release","linkHelpText":"Datasets for Evaluation and Review of Ecology-Focused Stream Studies, Fountain Creek Basin, Colorado"},{"id":462111,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5074/sir20245074.pdf","text":"Report","size":"2.22 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5074"},{"id":462110,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5074/coverthb.jpg"},{"id":462157,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5074/sir20245074.xml"}],"country":"United States","state":"Colorado","otherGeospatial":"Fountain Creek Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.45322123672925,\n 39.26331261795599\n ],\n [\n -105.45322123672925,\n 38.0924698636114\n ],\n [\n -104.3145085834951,\n 38.0924698636114\n ],\n [\n -104.3145085834951,\n 39.26331261795599\n ],\n [\n -105.45322123672925,\n 39.26331261795599\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Colorado Water Science Center
U.S. Geological Survey
Box 25046, Mail Stop 415
Denver, CO 80225
The cisco (Coregonus artedi) population in Crystal Lake, Pennsylvania, is of great scientific interest as it either originated from Lake Erie or Lake Ontario. Cisco in Lake Erie once supported the largest freshwater fishery in the world, but populations were extirpated by 1960. We conducted a morphological analysis of Crystal Lake cisco to determine whether it was consistent with a distinctive Lake Erie form (albus), which was also historically documented, albeit rarely, in western Lake Ontario. Using principal component analysis, we compared eight morphometric ratios and one meristic from our Crystal Lake cisco collection with historical and contemporary collections of cisco from Lakes Erie and Ontario. Maximum likelihood ellipse overlaps between Crystal Lake cisco and presumed albus (the dominant Lake Erie form prior to extirpation) collections averaged 54%. For all groups, the greatest morphological overlap (73.9%) occurred between Crystal Lake and 1957 Lake Erie cisco, which only differed from Crystal Lake cisco in dorsal fin length. Alternatively, overlap between Crystal Lake cisco and all other Lake Ontario collections averaged 3.2%. Our results demonstrate that Crystal Lake cisco are likely an albus form; furthermore, historical documentation and our morphological results suggest a Lake Erie origin. Substantial overlap between Crystal Lake cisco and Lake Ontario albus collected in 1917 is likely explained by continuous entrainment of Lake Erie larvae into Lake Ontario. We suspect this created an albus metapopulation spanning Lakes Erie and Ontario, yet albus are no longer observed in either lake today.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2024.102407","usgsCitation":"Schmitt, J., Fischer, D., Kao, Y., Frey, A., Chalupnicki, M., McKenna, J.E., Phillips, K., Dufour, M.R., Kraus, R., and Eshenroder, R.L., 2024, Historical and morphological evidence for a remnant population of Lake Erie cisco Coregonus artedi (albus) in Crystal Lake, Pennsylvania: Journal of Great Lakes Research, v. 50, no. 5, 102407, 10 p., https://doi.org/10.1016/j.jglr.2024.102407.","productDescription":"102407, 10 p.","ipdsId":"IP-157966","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":489856,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1016/j.jglr.2024.102407","text":"Publisher Index Page"},{"id":481509,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Crystal Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.5439783458529,\n 41.64664146749939\n ],\n [\n -75.5439783458529,\n 41.632376138207945\n ],\n [\n -75.52974900812394,\n 41.632376138207945\n ],\n [\n -75.52974900812394,\n 41.64664146749939\n ],\n [\n -75.5439783458529,\n 41.64664146749939\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"50","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schmitt, Joseph 0000-0002-8354-4067","orcid":"https://orcid.org/0000-0002-8354-4067","contributorId":221020,"corporation":false,"usgs":true,"family":"Schmitt","given":"Joseph","email":"","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":925745,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fischer, Douglas P.","contributorId":342445,"corporation":false,"usgs":false,"family":"Fischer","given":"Douglas P.","affiliations":[{"id":36966,"text":"Pennsylvania Fish and Boat Commission","active":true,"usgs":false}],"preferred":false,"id":925746,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kao, Yu-Chun","contributorId":35626,"corporation":false,"usgs":false,"family":"Kao","given":"Yu-Chun","affiliations":[{"id":6649,"text":"University of Michigan, School of Natural Resources and Environment","active":true,"usgs":false}],"preferred":false,"id":925747,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frey, Aaron","contributorId":350337,"corporation":false,"usgs":false,"family":"Frey","given":"Aaron","affiliations":[{"id":36966,"text":"Pennsylvania Fish and Boat Commission","active":true,"usgs":false}],"preferred":false,"id":925748,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chalupnicki, Marc 0000-0002-3792-9345","orcid":"https://orcid.org/0000-0002-3792-9345","contributorId":242991,"corporation":false,"usgs":true,"family":"Chalupnicki","given":"Marc","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":925749,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McKenna, James E. Jr. 0000-0002-1428-7597 jemckenna@usgs.gov","orcid":"https://orcid.org/0000-0002-1428-7597","contributorId":195894,"corporation":false,"usgs":true,"family":"McKenna","given":"James","suffix":"Jr.","email":"jemckenna@usgs.gov","middleInitial":"E.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":925750,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Phillips, Kristy 0000-0001-8378-0660","orcid":"https://orcid.org/0000-0001-8378-0660","contributorId":204292,"corporation":false,"usgs":true,"family":"Phillips","given":"Kristy","email":"","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":925751,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dufour, Mark Richard 0000-0001-6930-7666","orcid":"https://orcid.org/0000-0001-6930-7666","contributorId":291450,"corporation":false,"usgs":true,"family":"Dufour","given":"Mark","email":"","middleInitial":"Richard","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":925754,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kraus, Richard 0000-0003-4494-1841","orcid":"https://orcid.org/0000-0003-4494-1841","contributorId":216548,"corporation":false,"usgs":true,"family":"Kraus","given":"Richard","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":925752,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Eshenroder, Randy L.","contributorId":177867,"corporation":false,"usgs":false,"family":"Eshenroder","given":"Randy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":925753,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70258644,"text":"ofr20241058 - 2024 - ECCOE Landsat quarterly Calibration and Validation report—Quarter 1, 2024","interactions":[],"lastModifiedDate":"2026-06-11T17:18:08.212028","indexId":"ofr20241058","displayToPublicDate":"2024-09-24T09:48:42","publicationYear":"2024","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":"2024-1058","displayTitle":"ECCOE Landsat Quarterly Calibration and Validation Report—Quarter 1, 2024","title":"ECCOE Landsat quarterly Calibration and Validation report—Quarter 1, 2024","docAbstract":"The U.S. Geological Survey Earth Resources Observation and Science Calibration and Validation (Cal/Val) Center of Excellence (ECCOE) focuses on improving the accuracy, precision, calibration, and product quality of remote-sensing data, leveraging years of multiscale optical system geometric and radiometric calibration and characterization experience. The ECCOE Landsat Cal/Val Team continually monitors the geometric and radiometric performance of active Landsat missions and makes calibration adjustments, as needed, to maintain data quality at the highest level.
This report provides observed geometric and radiometric analysis results for Landsats 8 and 9 for quarter 1 (January–March), 2024. All data used to compile the Cal/Val analysis results presented in this report are freely available from the U.S. Geological Survey EarthExplorer website:
https://earthexplorer.usgs.gov.
This quarterly report is the third to include analysis results for Landsat 9, which was launched in September 2021. The inclusion of Landsat 9 analysis results was dependent on two factors: a complete reprocessing of the Landsat 9 data archive and enough time elapsing to begin formulating lifetime trends. In April 2023, all Landsat 9 image data acquired since the satellite’s launch were reprocessed to take advantage of calibration updates identified by the ECCOE Landsat Cal/Val Team. Additional information about the Landsat 9 reprocessing effort is available at https://www.usgs.gov/landsat-missions/news/upcoming-reprocessing-all-landsat-9-data. Additional information about Landsat 9 prelaunch, commissioning, and early on-orbit imaging performance is available at https://www.mdpi.com/journal/remotesensing/special_issues/15B4V2K92K.
This quarterly report is the first to not include analysis results for Landsat 7 because Enhanced Thematic Mapper Plus imaging was suspended on January 19, 2024, after the satellite transitioned into full sunlight. The satellite has been drifting since early 2022 after being lowered from the nominal orbit altitude, and the transition into full sunlight is a result of the satellite operating in its extended science mission. Additional information about the imaging suspension is available at https://www.usgs.gov/landsat-missions/news/landsat-7-imaging-suspended. Additional information about the Landsat 7 extended science mission is available at https://www.usgs.gov/landsat-missions/landsat-7-extended-science-mission.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241058","usgsCitation":"Haque, M.O., Hasan, M.N., Shrestha, A., Rengarajan, R., Lubke, M., Shaw, J.L., Ruslander, K., Micijevic, E., Choate, M.J., Anderson, C., Clauson, J., Thome, K., Barsi, J., Kaita, E., Levy, R., Miller, J., and Ding, L., 2024, ECCOE Landsat\nquarterly Calibration and Validation report—Quarter 1, 2024 (ver. 1.2, June 2026): U.S. Geological Survey Open-File Report 2024–1058, 57 p., https://doi.org/10.3133/ofr20241058.","productDescription":"Report: viii, 57 p.; Dataset","numberOfPages":"70","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-165326","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":505306,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1058/ofr20241058.pdf","text":"Report","size":"5.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024–1058 PDF"},{"id":505311,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241058/full"},{"id":505307,"rank":6,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2024/1058/versionHist.txt","text":"Version History","size":"1 KB","linkFileType":{"id":2,"text":"txt"}},{"id":439142,"rank":5,"type":{"id":28,"text":"Dataset"},"url":"https://earthexplorer.usgs.gov/","text":"USGS database","linkHelpText":"- EarthExplorer"},{"id":439140,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1058/images/"},{"id":439137,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1058/coverthb3.jpg"},{"id":439139,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1058/ofr20241058.XML","description":"OFR 2024–1058 XML"}],"edition":"Version 1.0: September 24, 2024; Version 1.1: December 11, 2024; Version 1.2: June 11, 2026","contact":"Director, Earth Resources Observation and Science Center
U.S. Geological Survey
47914 252nd Street
Sioux Falls, SD 57198
To better understand the primary drivers of the thermal regime in a Great Lakes estuary, and their implications for local biota, water temperature variations in the Milwaukee Estuary of Lake Michigan were studied between July and October of 2019 using a network of 25 sensors at 18 locations. Like Lake Michigan, the estuary was thermally stratified July to October, and historically dredged channels with water depths greater than 6 m allowed for the free movement of cold lake water into the estuary. However, temperatures in the estuary fluctuated rapidly both spatially and temporally, reflecting lake temperature fluctuations driven by changing meteorological conditions. Lake-driven upwelling and downwelling events influenced water temperature more than tributary contributions. Periodic upwelling and downwelling events caused temperature changes by up to 15 °C in less than 24 h. Nearshore upwelling events occasionally allowed cold, hypolimnetic lake water to reach tributary portions of the estuary beyond dredged areas, while downwelling events disrupted thermal stratification and caused the deep, dredged portions of the estuary to exceed 20 °C. Thermal impacts from these events were especially noticeable in transition zones between dredged and not dredged channels less than 2 m deep. The warming effects from downwelling persisted longer inside the estuary – up to two weeks – than cooling effects from upwelling, which typically lasted a few days. The predominantly lake-driven, rapid summer water temperature fluctuations observed in the Milwaukee Estuary serve as an important consideration in habitat restoration activities happening in Great Lakes estuaries.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2024.102416","usgsCitation":"Stefaniak, O.M., Fitzpatrick, F., Dow, B.A., Blount, J.D., Sullivan, D.J., and Reneau, P., 2024, Influences of meteorological conditions, runoff, and bathymetry on summer thermal regime of a Great Lakes estuary: Journal of Great Lakes Research, v. 50, no. 5, 102416, 14 p., https://doi.org/10.1016/j.jglr.2024.102416.","productDescription":"102416, 14 p.","ipdsId":"IP-141345","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":466904,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2024.102416","text":"Publisher Index Page"},{"id":462484,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Milwaukee Estuary","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -87.9583,\n 43.0667\n ],\n [\n -87.9583,\n 43\n ],\n [\n -87.89167,\n 43\n ],\n [\n -87.89167,\n 43.0667\n ],\n [\n -87.9583,\n 43.0667\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"50","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Stefaniak, Owen M. 0000-0001-5394-8338 ostefaniak@usgs.gov","orcid":"https://orcid.org/0000-0001-5394-8338","contributorId":271143,"corporation":false,"usgs":true,"family":"Stefaniak","given":"Owen","email":"ostefaniak@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":914519,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fitzpatrick, Faith 0000-0002-9748-7075","orcid":"https://orcid.org/0000-0002-9748-7075","contributorId":209540,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith","email":"","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":914520,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dow, Brennan A.","contributorId":344687,"corporation":false,"usgs":false,"family":"Dow","given":"Brennan","email":"","middleInitial":"A.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":914521,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blount, James D. 0000-0002-0006-3947 jblount@usgs.gov","orcid":"https://orcid.org/0000-0002-0006-3947","contributorId":200231,"corporation":false,"usgs":true,"family":"Blount","given":"James","email":"jblount@usgs.gov","middleInitial":"D.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":914522,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sullivan, Daniel J. 0000-0003-2705-3738","orcid":"https://orcid.org/0000-0003-2705-3738","contributorId":204322,"corporation":false,"usgs":true,"family":"Sullivan","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":914523,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reneau, Paul 0000-0002-1335-7573","orcid":"https://orcid.org/0000-0002-1335-7573","contributorId":217293,"corporation":false,"usgs":true,"family":"Reneau","given":"Paul","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":914524,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70259283,"text":"70259283 - 2024 - Long-term distributed temperature sensing monitoring for near-wellbore gas migration and gas hydrate formation","interactions":[],"lastModifiedDate":"2024-11-25T14:17:16.586869","indexId":"70259283","displayToPublicDate":"2024-09-24T09:27:46","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3325,"text":"SPE Journal","active":true,"publicationSubtype":{"id":10}},"title":"Long-term distributed temperature sensing monitoring for near-wellbore gas migration and gas hydrate formation","docAbstract":"Well integrity monitoring has always been a critical component of subsurface oil and gas operations. Distributed fiber-optic sensing is an emerging technology that shows great promise for monitoring processes, both in boreholes and in other settings. In this study, we present a case study of using distributed temperature sensing (DTS) technology to monitor a cemented and plugged well in the Alaska North Slope (ANS). The well was drilled as part of a long-term gas hydrate study, and the downhole DTS data were recorded over a period of approximately 2 years. By applying a temporal gradient and removing instrument instability noise, we reveal subtle (<0.001°C/h) thermal anomalies, which are characterized by brief warming periods followed by longer cooling periods at discrete depths along the borehole. The observed coherent events show an upward trajectory from deeper formations into the overlying permafrost interval, with the thermal anomalies concentrated in relatively coarse-grained sandstone layers. We also observe that the upward migration rate of the DTS anomalies varies with formation lithology and that there is a spatial and temporal correlation between the subsurface events and measured wellhead annular pressures. We interpret that the observed warming events represent the exothermic process of gas hydrate formation that is occurring in association with the upward migration of gas outside the well casing, and this interpretation is confirmed by numerical simulations. These observations demonstrate the ability of suitably processed DTS data to detect subtle processes and highlight the value of DTS technologies for wellbore integrity monitoring.
","language":"English","publisher":"Society of Petroleum Engineers","doi":"10.2118/223111-PA","usgsCitation":"Garcia-Ceballos, A., Jin, G., Collett, T., Merey, S., and Haines, S.S., 2024, Long-term distributed temperature sensing monitoring for near-wellbore gas migration and gas hydrate formation: SPE Journal, v. 29, no. 11, p. 5804-5819, https://doi.org/10.2118/223111-PA.","productDescription":"16 p.","startPage":"5804","endPage":"5819","ipdsId":"IP-162957","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":498024,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2118/223111-pa","text":"Publisher Index Page"},{"id":464441,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"North Slope","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -151,\n 71\n ],\n [\n -151,\n 70\n ],\n [\n -148,\n 70\n ],\n [\n -148,\n 71\n ],\n [\n -151,\n 71\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"29","issue":"11","noUsgsAuthors":false,"publicationDate":"2024-09-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Garcia-Ceballos, Ana","contributorId":333715,"corporation":false,"usgs":false,"family":"Garcia-Ceballos","given":"Ana","email":"","affiliations":[],"preferred":false,"id":914769,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jin, Ge","contributorId":333716,"corporation":false,"usgs":false,"family":"Jin","given":"Ge","email":"","affiliations":[],"preferred":false,"id":914770,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collett, Timothy 0000-0002-7598-4708","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":220812,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":914771,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Merey, Sukru","contributorId":344807,"corporation":false,"usgs":false,"family":"Merey","given":"Sukru","email":"","affiliations":[{"id":82412,"text":"Batman University","active":true,"usgs":false}],"preferred":false,"id":914772,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haines, Seth S. 0000-0003-2611-8165 shaines@usgs.gov","orcid":"https://orcid.org/0000-0003-2611-8165","contributorId":1344,"corporation":false,"usgs":true,"family":"Haines","given":"Seth","email":"shaines@usgs.gov","middleInitial":"S.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":914773,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70258727,"text":"70258727 - 2024 - Parasite abundance-occupancy relationships across biogeographic regions: Joint effects of niche breadth, host availability and climate","interactions":[],"lastModifiedDate":"2024-12-26T16:46:26.036627","indexId":"70258727","displayToPublicDate":"2024-09-24T06:55:52","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2193,"text":"Journal of Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"Parasite abundance-occupancy relationships across biogeographic regions: Joint effects of niche breadth, host availability and climate","docAbstract":"Changing biodiversity and environmental conditions may allow multi-host pathogens to spread among host species and affect prevalence. There are several widely acknowledged theories about mechanisms that may influence variation in pathogen prevalence, including the controversially debated dilution effect and abundance-occupancy relationship hypotheses. Here, we explore such abundance-occupancy relationships for unique lineages of three vector-borne avian blood parasite genera (the avian malaria parasite Plasmodium and the related haemosporidian parasites Parahaemoproteus and Leucocytozoon) across biogeographical regions.
","language":"English","publisher":"Wiley","doi":"10.1111/jbi.15015","usgsCitation":"Wells, K., Bell, J.A., Fecchio, A., Drovetski, S.V., Galen, S.C., Hackett, S., Lutz, H.L., Skeen, H., Voelker, G., Wamiti, W., Weckstein, J.D., and Clark, N.J., 2024, Parasite abundance-occupancy relationships across biogeographic regions: Joint effects of niche breadth, host availability and climate: Journal of Biogeography, v. 52, no. 1, p. 55-65, https://doi.org/10.1111/jbi.15015.","productDescription":"11 p.","startPage":"55","endPage":"65","ipdsId":"IP-167631","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":466905,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jbi.15015","text":"Publisher Index Page"},{"id":462239,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-09-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Wells, Konstans","contributorId":265392,"corporation":false,"usgs":false,"family":"Wells","given":"Konstans","email":"","affiliations":[{"id":54671,"text":"Department of Biosciences, Swansea University, Swansea, SA2 8PP UK","active":true,"usgs":false}],"preferred":false,"id":913896,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bell, Jeffrey A","contributorId":265373,"corporation":false,"usgs":false,"family":"Bell","given":"Jeffrey","email":"","middleInitial":"A","affiliations":[{"id":52695,"text":"Department of Biology, University of North Dakota, Grand Forks, ND 58201, USA","active":true,"usgs":false}],"preferred":false,"id":913897,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fecchio, Alan 0000-0002-7319-0234","orcid":"https://orcid.org/0000-0002-7319-0234","contributorId":265372,"corporation":false,"usgs":false,"family":"Fecchio","given":"Alan","email":"","affiliations":[{"id":54651,"text":"Programa de Pós-Graduação em Ecologia e Conservação da Biodiversidade, Universidade Federal de Mato Grosso, Avenida Fernando Corrêa da Costa 2367, Cuiabá, MT, 78060900, Brazil","active":true,"usgs":false}],"preferred":false,"id":913898,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Drovetski, Sergei V. 0000-0002-1832-5597","orcid":"https://orcid.org/0000-0002-1832-5597","contributorId":229520,"corporation":false,"usgs":true,"family":"Drovetski","given":"Sergei","middleInitial":"V.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":913899,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Galen, Spencer C","contributorId":229671,"corporation":false,"usgs":false,"family":"Galen","given":"Spencer","email":"","middleInitial":"C","affiliations":[],"preferred":false,"id":913900,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hackett, Shannon","contributorId":265389,"corporation":false,"usgs":false,"family":"Hackett","given":"Shannon","email":"","affiliations":[{"id":54668,"text":"The Richard and Jill Chaifetz Associate Curator of Birds, Life Sciences and Pritzker Lab Field Museum of Natural History, 1400 South Lake Shore Drive, Chicago, IL 60605, USA","active":true,"usgs":false}],"preferred":false,"id":913901,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lutz, Holly L","contributorId":265375,"corporation":false,"usgs":false,"family":"Lutz","given":"Holly","email":"","middleInitial":"L","affiliations":[{"id":54653,"text":"Department of Surgery, University of Chicago, 5812 S. Ellis Ave., Chicago, IL 60637 and Integrative Research Center, Field Museum of Natural History, 1400 South Lake Shore Drive, Chicago, IL 60605 USA","active":true,"usgs":false}],"preferred":false,"id":913902,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Skeen, Heather","contributorId":265374,"corporation":false,"usgs":false,"family":"Skeen","given":"Heather","email":"","affiliations":[{"id":54652,"text":"Committee on Evolutionary Biology, University of Chicago, Chicago, IL, 6063 and Negaunee Integrative Research Center, The Field Museum, Chicago, IL, 60605 USA","active":true,"usgs":false}],"preferred":false,"id":913903,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Voelker, Gary","contributorId":229521,"corporation":false,"usgs":false,"family":"Voelker","given":"Gary","email":"","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":913904,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wamiti, Wanyoike","contributorId":265381,"corporation":false,"usgs":false,"family":"Wamiti","given":"Wanyoike","email":"","affiliations":[{"id":54660,"text":"Zoology Department, National Museums of Kenya, P.O. Box 40658-00100, Nairobi, Kenya","active":true,"usgs":false}],"preferred":false,"id":913905,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Weckstein, Jason D","contributorId":265391,"corporation":false,"usgs":false,"family":"Weckstein","given":"Jason","email":"","middleInitial":"D","affiliations":[{"id":54670,"text":"Department of Ornithology, Academy of Natural Sciences of Drexel University, Philadelphia, PA 19103, USA and Department of Biodiversity, Earth, and Environmental Sciences, Drexel University, Philadelphia, PA 19103, USA","active":true,"usgs":false}],"preferred":false,"id":913906,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Clark, Nicholas J.","contributorId":204867,"corporation":false,"usgs":false,"family":"Clark","given":"Nicholas","email":"","middleInitial":"J.","affiliations":[{"id":16755,"text":"University of Queensland, Australia","active":true,"usgs":false}],"preferred":false,"id":913907,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70258081,"text":"70258081 - 2024 - The feasibility of using national-scale datasets for classifying wetlands in Arizona with machine learning","interactions":[],"lastModifiedDate":"2024-11-22T16:08:59.048285","indexId":"70258081","displayToPublicDate":"2024-09-23T17:17:05","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"The feasibility of using national-scale datasets for classifying wetlands in Arizona with machine learning","docAbstract":"The advent of machine learning techniques has led to a proliferation of landscape classification products. These approaches can fill gaps in wetland inventories across the United States (U.S.) provided that large reference datasets are available to develop accurate models. In this study, we tested the feasibility of expediting the classification process by sourcing requisite training and testing data from existing national-scale land cover maps instead of customized sample sets. We created a single map of water and wetland presence by intersecting water and wetland classes from available land cover products (National Wetland Inventory, Gap Analysis Project, National Land Cover Database and Dynamic Surface Water Extent) across the U.S. state of Arizona, which has fewer wetland-specific mapping products than other parts of the U.S. We derived classified samples for four wetland classes from the combined map: open water, herbaceous wetlands, wooded wetlands and non-wetland cover. In Google Earth Engine, we developed a random forest model that combined the training data with spatial predictor variables, including vegetation greenness indices, wetness indices, seasonal index variation, topographic parameters and vegetation height metrics. Results show that the final model separates the four classes with an overall accuracy of 86.2%. The accuracy suggests that existing datasets can be effectively used to compile machine learning training samples to map wetlands in arid landscapes in the U.S. These methods hold promise for the generation of wetland inventories at more frequent intervals, which could allow more nuanced investigations of wetland change over time in response to anthropogenic and climatic drivers.
","language":"English","publisher":"Wiley","doi":"10.1002/esp.5985","usgsCitation":"Soulard, C.E., Walker, J., Smith, B.W., and Kreitler, J.R., 2024, The feasibility of using national-scale datasets for classifying wetlands in Arizona with machine learning: Earth Surface Processes and Landforms, v. 49, no. 14, p. 4632-4649, https://doi.org/10.1002/esp.5985.","productDescription":"18 p.","startPage":"4632","endPage":"4649","ipdsId":"IP-158309","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":462417,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-112.538593,37.000674],[-111.405517,37.001497],[-111.278286,37.000465],[-111.254853,37.001077],[-111.133718,37.000779],[-111.066496,37.002389],[-110.599512,37.003448],[-110.50069,37.00426],[-110.490908,37.003566],[-110.47019,36.997997],[-110.021778,36.998602],[-110.000876,36.998502],[-110.000677,36.997968],[-109.875673,36.998504],[-109.625668,36.998308],[-109.495338,36.999105],[-109.246917,36.999346],[-109.045223,36.999084],[-109.046796,35.363606],[-109.046084,35.250025],[-109.046072,34.828566],[-109.045624,34.814226],[-109.046104,34.799981],[-109.045363,34.785406],[-109.046086,34.771016],[-109.047006,34.00005],[-109.046426,33.875052],[-109.047145,33.74001],[-109.046662,33.625055],[-109.047298,33.409783],[-109.046564,33.37506],[-109.047045,33.36928],[-109.04747,33.250063],[-109.046905,33.091931],[-109.04748,33.06842],[-109.047117,32.77757],[-109.049112,31.636598],[-109.050173,31.480004],[-109.050044,31.332502],[-109.278489,31.333959],[-109.829689,31.334067],[-110.000613,31.333145],[-110.140512,31.333965],[-110.460172,31.332827],[-110.795467,31.33363],[-111.000643,31.332177],[-111.074825,31.332239],[-111.125646,31.348978],[-111.560194,31.488138],[-111.979417,31.620683],[-112.246102,31.704195],[-112.867074,31.895488],[-113.125961,31.97278],[-113.217308,32.002107],[-113.493196,32.088943],[-113.78168,32.179034],[-114.250775,32.32391],[-114.50078,32.400057],[-114.813613,32.494277],[-114.813991,32.497231],[-114.812316,32.500054],[-114.813694,32.505065],[-114.81237,32.507712],[-114.807726,32.508726],[-114.806017,32.510094],[-114.804694,32.512476],[-114.804958,32.517506],[-114.809723,32.520153],[-114.811576,32.523594],[-114.810563,32.527666],[-114.8064,32.531192],[-114.802181,32.536414],[-114.802018,32.53946],[-114.804776,32.541659],[-114.80583,32.546354],[-114.803883,32.548002],[-114.795635,32.550956],[-114.793769,32.552329],[-114.792065,32.555009],[-114.791551,32.557023],[-114.791988,32.560652],[-114.794635,32.563564],[-114.795959,32.564093],[-114.79766,32.564444],[-114.804429,32.561976],[-114.808929,32.561976],[-114.810517,32.563828],[-114.810517,32.56727],[-114.808929,32.569652],[-114.804421,32.572942],[-114.801877,32.57601],[-114.801471,32.578255],[-114.803879,32.580889],[-114.803987,32.582652],[-114.800441,32.58808],[-114.799683,32.593621],[-114.801548,32.598591],[-114.805932,32.600721],[-114.807906,32.602783],[-114.809042,32.608806],[-114.809393,32.617119],[-114.80739,32.621332],[-114.799302,32.625115],[-114.794102,32.622475],[-114.791179,32.621833],[-114.781872,32.62505],[-114.78267,32.628634],[-114.782235,32.630215],[-114.779215,32.633579],[-114.774482,32.635869],[-114.764382,32.642666],[-114.76331,32.644617],[-114.763512,32.645996],[-114.765067,32.648047],[-114.76495,32.649391],[-114.75831,32.655178],[-114.753111,32.658304],[-114.748,32.664184],[-114.747848,32.667693],[-114.745345,32.672187],[-114.744491,32.678671],[-114.730453,32.698843],[-114.730086,32.704298],[-114.722746,32.713071],[-114.717665,32.721654],[-114.714522,32.73039],[-114.701918,32.745548],[-114.69879,32.744846],[-114.688779,32.737675],[-114.684278,32.737537],[-114.667493,32.734226],[-114.65826,32.733799],[-114.632686,32.730846],[-114.618373,32.728245],[-114.615585,32.728446],[-114.614772,32.734089],[-114.612697,32.734516],[-114.581784,32.734946],[-114.581736,32.742321],[-114.564508,32.742298],[-114.564447,32.749554],[-114.539224,32.749812],[-114.539093,32.756949],[-114.526856,32.757094],[-114.528443,32.767276],[-114.531831,32.774264],[-114.532432,32.776923],[-114.531669,32.791185],[-114.528849,32.796307],[-114.522031,32.801675],[-114.515389,32.811439],[-114.510217,32.816417],[-114.494116,32.823288],[-114.468971,32.845155],[-114.465546,32.874809],[-114.465715,32.87942],[-114.463127,32.901884],[-114.462929,32.907944],[-114.464448,32.913129],[-114.47664,32.923628],[-114.479005,32.928291],[-114.48092,32.935252],[-114.48074,32.937027],[-114.478456,32.940555],[-114.474042,32.94515],[-114.470833,32.949333],[-114.469113,32.952673],[-114.46773,32.956323],[-114.467272,32.960675],[-114.467664,32.966861],[-114.469039,32.972295],[-114.470988,32.97406],[-114.476156,32.975168],[-114.480417,32.973665],[-114.481315,32.972064],[-114.488625,32.969946],[-114.490129,32.969885],[-114.492938,32.971781],[-114.494212,32.974262],[-114.495712,32.980076],[-114.499797,33.003905],[-114.50613,33.01701],[-114.511343,33.023455],[-114.52013,33.029984],[-114.523578,33.030961],[-114.538459,33.033422],[-114.553189,33.033974],[-114.571653,33.036624],[-114.575161,33.036542],[-114.578287,33.035375],[-114.581404,33.032545],[-114.584765,33.028231],[-114.589778,33.026228],[-114.601014,33.02541],[-114.618788,33.027202],[-114.625787,33.029436],[-114.628293,33.031052],[-114.639553,33.045291],[-114.64598,33.048903],[-114.649001,33.046763],[-114.655038,33.037107],[-114.657827,33.033825],[-114.659832,33.032665],[-114.662317,33.032671],[-114.66506,33.033908],[-114.670803,33.037984],[-114.673659,33.041897],[-114.675104,33.047532],[-114.674296,33.057171],[-114.686991,33.070969],[-114.68912,33.076122],[-114.689307,33.079179],[-114.688597,33.082869],[-114.68902,33.084036],[-114.692548,33.085786],[-114.701165,33.086368],[-114.70473,33.087051],[-114.706488,33.08816],[-114.707819,33.091102],[-114.707896,33.097432],[-114.703682,33.113769],[-114.696829,33.131209],[-114.689995,33.137883],[-114.687074,33.142196],[-114.682253,33.155214],[-114.679359,33.159519],[-114.678729,33.162948],[-114.680248,33.169717],[-114.679034,33.174738],[-114.675831,33.18152],[-114.67536,33.185489],[-114.67519,33.188179],[-114.678749,33.203448],[-114.673715,33.219245],[-114.673626,33.223121],[-114.674479,33.225504],[-114.678097,33.2303],[-114.682731,33.234918],[-114.689421,33.24525],[-114.689541,33.246428],[-114.688205,33.247966],[-114.674491,33.255597],[-114.672088,33.258499],[-114.672401,33.26047],[-114.677032,33.27017],[-114.680507,33.273577],[-114.684363,33.276025],[-114.694449,33.279786],[-114.711197,33.283342],[-114.717875,33.285157],[-114.72167,33.286982],[-114.723259,33.288079],[-114.731223,33.302434],[-114.731222,33.304039],[-114.729904,33.305745],[-114.723623,33.31211],[-114.710792,33.320607],[-114.707962,33.323421],[-114.705241,33.327767],[-114.700938,33.337014],[-114.698035,33.352442],[-114.699053,33.361148],[-114.707348,33.376628],[-114.70731,33.382542],[-114.708408,33.384147],[-114.713602,33.388257],[-114.722872,33.398779],[-114.725292,33.402342],[-114.725282,33.405048],[-114.723829,33.406531],[-114.720065,33.407891],[-114.710878,33.407254],[-114.701732,33.408388],[-114.697707,33.410942],[-114.695655,33.415127],[-114.687953,33.417944],[-114.673901,33.418299],[-114.658382,33.413036],[-114.652828,33.412922],[-114.64954,33.413633],[-114.643302,33.416745],[-114.635183,33.422726],[-114.62964,33.428138],[-114.627125,33.433554],[-114.622283,33.447558],[-114.623395,33.45449],[-114.622918,33.456561],[-114.612472,33.470768],[-114.601696,33.481394],[-114.599713,33.484315],[-114.597283,33.490653],[-114.591554,33.499443],[-114.588239,33.502453],[-114.580468,33.506465],[-114.573757,33.507543],[-114.569533,33.509219],[-114.560963,33.516739],[-114.560835,33.524334],[-114.558898,33.531819],[-114.542011,33.542481],[-114.524599,33.552231],[-114.524391,33.553683],[-114.526834,33.557466],[-114.535965,33.569154],[-114.5403,33.580615],[-114.540617,33.591412],[-114.529186,33.60665],[-114.524813,33.611351],[-114.524619,33.61426],[-114.525783,33.616588],[-114.527938,33.618839],[-114.529662,33.622794],[-114.529856,33.627448],[-114.526947,33.633073],[-114.526947,33.637534],[-114.53005,33.647619],[-114.530244,33.65014],[-114.525201,33.658092],[-114.525201,33.661583],[-114.529706,33.668031],[-114.530999,33.671102],[-114.531523,33.675108],[-114.530348,33.679245],[-114.527782,33.682684],[-114.523959,33.685879],[-114.512409,33.691282],[-114.504993,33.693022],[-114.496489,33.696901],[-114.495719,33.698454],[-114.494197,33.707922],[-114.494901,33.71443],[-114.496565,33.719155],[-114.500788,33.722204],[-114.502661,33.724584],[-114.504176,33.728055],[-114.506799,33.730518],[-114.510265,33.732146],[-114.512348,33.734214],[-114.508206,33.741587],[-114.504483,33.750998],[-114.504863,33.760465],[-114.507089,33.76793],[-114.516734,33.788345],[-114.520094,33.799473],[-114.52805,33.814963],[-114.527161,33.816191],[-114.522714,33.818979],[-114.520733,33.822031],[-114.51997,33.825381],[-114.523409,33.835323],[-114.525539,33.838614],[-114.529597,33.848063],[-114.529385,33.851755],[-114.528451,33.854929],[-114.526771,33.857357],[-114.52453,33.858477],[-114.516811,33.85812],[-114.514673,33.858638],[-114.505638,33.864276],[-114.503887,33.865754],[-114.503017,33.867998],[-114.503395,33.875018],[-114.50434,33.876882],[-114.516501,33.885926],[-114.518928,33.891714],[-114.517808,33.894889],[-114.516314,33.896196],[-114.508708,33.90064],[-114.507988,33.901813],[-114.50792,33.903807],[-114.508558,33.906098],[-114.511511,33.911092],[-114.518434,33.917518],[-114.525361,33.922272],[-114.533679,33.926072],[-114.534987,33.928499],[-114.535478,33.934651],[-114.52868,33.947817],[-114.522002,33.955623],[-114.51586,33.958106],[-114.511231,33.95704],[-114.509568,33.957264],[-114.499883,33.961789],[-114.495047,33.966835],[-114.484784,33.975519],[-114.481455,33.981261],[-114.475907,33.984424],[-114.471138,33.98804],[-114.467932,33.992877],[-114.462377,33.993781],[-114.46117,33.994687],[-114.460264,33.996649],[-114.460415,33.999215],[-114.46283,34.004497],[-114.463132,34.00661],[-114.46283,34.008421],[-114.46117,34.010081],[-114.458906,34.010835],[-114.454807,34.010968],[-114.450206,34.012574],[-114.443821,34.016176],[-114.44054,34.019329],[-114.438266,34.022609],[-114.436171,34.028083],[-114.434949,34.037784],[-114.435504,34.042615],[-114.438602,34.050205],[-114.439406,34.05381],[-114.43934,34.057893],[-114.437683,34.071937],[-114.435429,34.079727],[-114.434181,34.087379],[-114.428026,34.092787],[-114.426168,34.097042],[-114.420499,34.103466],[-114.415908,34.107636],[-114.411681,34.110031],[-114.405941,34.11154],[-114.401352,34.111652],[-114.390565,34.110084],[-114.379234,34.115988],[-114.369297,34.117517],[-114.366521,34.118575],[-114.360402,34.123577],[-114.356373,34.130429],[-114.353031,34.133121],[-114.348052,34.134458],[-114.336112,34.134035],[-114.324576,34.136759],[-114.320777,34.138635],[-114.312206,34.144776],[-114.292806,34.166725],[-114.287294,34.170529],[-114.275267,34.17215],[-114.268267,34.17021],[-114.254141,34.173831],[-114.244191,34.179625],[-114.240712,34.183232],[-114.229715,34.186928],[-114.227034,34.188866],[-114.224941,34.193896],[-114.225861,34.201774],[-114.225194,34.203642],[-114.211761,34.211539],[-114.208253,34.215505],[-114.190876,34.230858],[-114.17805,34.239969],[-114.176403,34.241512],[-114.173119,34.247226],[-114.166536,34.249647],[-114.164476,34.251667],[-114.161826,34.257038],[-114.159697,34.258242],[-114.153346,34.258289],[-114.147159,34.259564],[-114.139055,34.259538],[-114.136185,34.261296],[-114.134612,34.263518],[-114.134427,34.266387],[-114.137045,34.277018],[-114.13605,34.280833],[-114.138365,34.288564],[-114.139534,34.295844],[-114.138167,34.300936],[-114.138282,34.30323],[-114.14093,34.305919],[-114.157206,34.317862],[-114.168807,34.339513],[-114.176909,34.349306],[-114.185556,34.354386],[-114.191094,34.356125],[-114.199482,34.361373],[-114.213774,34.36246],[-114.226107,34.365916],[-114.229686,34.368908],[-114.234275,34.376662],[-114.245261,34.385659],[-114.252739,34.3901],[-114.264317,34.401329],[-114.267521,34.402486],[-114.280108,34.403147],[-114.286802,34.40534],[-114.288663,34.406623],[-114.291751,34.411104],[-114.292226,34.417606],[-114.294836,34.421389],[-114.301016,34.426807],[-114.312251,34.432726],[-114.319054,34.435831],[-114.32613,34.437251],[-114.330669,34.445295],[-114.335372,34.450038],[-114.339627,34.451435],[-114.342615,34.451442],[-114.356025,34.449744],[-114.363404,34.447773],[-114.373719,34.446938],[-114.375789,34.447798],[-114.378852,34.450376],[-114.386699,34.457911],[-114.387407,34.460492],[-114.387187,34.462021],[-114.381701,34.47604],[-114.383038,34.488903],[-114.382358,34.495757],[-114.378124,34.507288],[-114.378223,34.516521],[-114.380838,34.529724],[-114.389603,34.542982],[-114.405228,34.569637],[-114.422382,34.580711],[-114.429747,34.591734],[-114.43009,34.596874],[-114.424326,34.602338],[-114.424202,34.610453],[-114.428648,34.614641],[-114.438739,34.621455],[-114.441398,34.630171],[-114.440294,34.63824],[-114.441465,34.64253],[-114.444276,34.646542],[-114.449549,34.651423],[-114.451753,34.654321],[-114.452628,34.659573],[-114.451785,34.663891],[-114.451971,34.666795],[-114.454305,34.671234],[-114.456567,34.677956],[-114.462178,34.6858],[-114.465246,34.691202],[-114.46809,34.701786],[-114.46862,34.707573],[-114.470477,34.711368],[-114.47162,34.712966],[-114.473682,34.713964],[-114.481954,34.716036],[-114.486768,34.7191],[-114.490971,34.724848],[-114.495858,34.727956],[-114.510292,34.733582],[-114.516619,34.736745],[-114.529615,34.750822],[-114.540306,34.757109],[-114.552682,34.766871],[-114.558653,34.773852],[-114.57101,34.794294],[-114.574569,34.805746],[-114.576452,34.8153],[-114.581126,34.826115],[-114.586842,34.835672],[-114.592339,34.841153],[-114.600653,34.847361],[-114.619878,34.856873],[-114.623939,34.859738],[-114.630682,34.866352],[-114.635176,34.875003],[-114.636768,34.885705],[-114.636725,34.889107],[-114.635425,34.895192],[-114.630877,34.907263],[-114.630552,34.911852],[-114.633237,34.92123],[-114.633253,34.924608],[-114.632196,34.930628],[-114.629753,34.938684],[-114.629811,34.94481],[-114.631681,34.95131],[-114.634953,34.958918],[-114.635237,34.965149],[-114.634607,34.96906],[-114.629907,34.980791],[-114.629015,34.986148],[-114.62919,34.991887],[-114.629928,34.99474],[-114.633013,35.002085],[-114.636674,35.008807],[-114.638023,35.020556],[-114.636893,35.028367],[-114.632429,35.037586],[-114.627124,35.044721],[-114.606694,35.058941],[-114.603619,35.064226],[-114.602908,35.068588],[-114.604736,35.07483],[-114.613132,35.083097],[-114.622517,35.088703],[-114.642831,35.096503],[-114.646759,35.101872],[-114.644352,35.105904],[-114.629934,35.118272],[-114.619905,35.121632],[-114.59912,35.12105],[-114.58774,35.123729],[-114.578524,35.12875],[-114.572747,35.138725],[-114.569569,35.163053],[-114.569238,35.18348],[-114.572119,35.200591],[-114.574835,35.205898],[-114.579963,35.20964],[-114.583559,35.22993],[-114.583111,35.23809],[-114.587129,35.262376],[-114.597503,35.296954],[-114.595931,35.325234],[-114.604314,35.353584],[-114.611435,35.369056],[-114.627137,35.409504],[-114.652005,35.429165],[-114.662125,35.444241],[-114.6645,35.449497],[-114.666377,35.466856],[-114.672901,35.481708],[-114.677643,35.489742],[-114.679205,35.499992],[-114.677205,35.513491],[-114.673805,35.517891],[-114.663105,35.524491],[-114.658005,35.530491],[-114.656905,35.534391],[-114.657405,35.536391],[-114.660205,35.539291],[-114.662005,35.545491],[-114.663005,35.56369],[-114.666184,35.577576],[-114.665649,35.580428],[-114.659606,35.58749],[-114.654306,35.59759],[-114.653406,35.610789],[-114.658206,35.619089],[-114.677107,35.641489],[-114.689407,35.651412],[-114.690008,35.664688],[-114.682207,35.678188],[-114.680607,35.685488],[-114.683208,35.689387],[-114.694108,35.695187],[-114.701208,35.701187],[-114.705409,35.708287],[-114.705309,35.711587],[-114.697309,35.733686],[-114.695709,35.755986],[-114.701409,35.769086],[-114.69891,35.790185],[-114.71211,35.806185],[-114.70991,35.810185],[-114.70371,35.814585],[-114.69571,35.830601],[-114.699848,35.843283],[-114.699848,35.84837],[-114.697767,35.854844],[-114.68201,35.863284],[-114.679501,35.868023],[-114.67742,35.874728],[-114.68112,35.885364],[-114.700271,35.901772],[-114.708516,35.912313],[-114.707526,35.92806],[-114.715692,35.934709],[-114.729356,35.941413],[-114.731159,35.943916],[-114.728318,35.95629],[-114.729941,35.962183],[-114.740595,35.975656],[-114.743756,35.985095],[-114.742779,36.009963],[-114.740522,36.013336],[-114.731162,36.021862],[-114.729707,36.028166],[-114.730435,36.031317],[-114.734314,36.035681],[-114.739405,36.037863],[-114.740617,36.041015],[-114.740375,36.049258],[-114.736738,36.054349],[-114.736253,36.05847],[-114.743342,36.070535],[-114.754099,36.07944],[-114.755491,36.081601],[-114.755618,36.087166],[-114.753638,36.090705],[-114.747079,36.097005],[-114.736165,36.104367],[-114.717293,36.107686],[-114.709771,36.107742],[-114.666538,36.117343],[-114.66289,36.119932],[-114.65995,36.124145],[-114.631716,36.142306],[-114.627855,36.141012],[-114.621883,36.13213],[-114.616694,36.130101],[-114.608264,36.133949],[-114.597212,36.142103],[-114.572031,36.15161],[-114.545789,36.152248],[-114.511721,36.150956],[-114.506711,36.148277],[-114.504631,36.145629],[-114.506144,36.134659],[-114.505766,36.131444],[-114.504442,36.129741],[-114.502172,36.128796],[-114.49612,36.12785],[-114.487034,36.129396],[-114.470152,36.138801],[-114.463637,36.139695],[-114.458369,36.138586],[-114.453325,36.130726],[-114.448654,36.12641],[-114.446605,36.12597],[-114.427169,36.136305],[-114.41695,36.145761],[-114.412373,36.147254],[-114.405475,36.147371],[-114.372106,36.143114],[-114.363109,36.130246],[-114.337273,36.10802],[-114.328777,36.105501],[-114.30843,36.082443],[-114.305738,36.074882],[-114.307879,36.071291],[-114.314206,36.066619],[-114.316109,36.063109],[-114.315557,36.059494],[-114.314028,36.058165],[-114.280202,36.046362],[-114.270645,36.03572],[-114.266721,36.029238],[-114.263146,36.025937],[-114.252651,36.020193],[-114.238799,36.014561],[-114.233289,36.014289],[-114.21369,36.015613],[-114.19238,36.020993],[-114.176824,36.027651],[-114.166465,36.027738],[-114.15413,36.023862],[-114.151725,36.024563],[-114.148191,36.028013],[-114.138202,36.041284],[-114.137188,36.046785],[-114.138203,36.053161],[-114.136896,36.059467],[-114.114531,36.095217],[-114.114165,36.096982],[-114.117459,36.100893],[-114.123221,36.104746],[-114.123975,36.106515],[-114.123144,36.111576],[-114.120862,36.114596],[-114.111011,36.119875],[-114.103222,36.120176],[-114.09987,36.121654],[-114.088954,36.144381],[-114.068027,36.180663],[-114.060302,36.189363],[-114.046838,36.194069],[-114.046743,36.245246],[-114.048226,36.268874],[-114.048515,36.289598],[-114.046935,36.315449],[-114.047584,36.325573],[-114.045806,36.391071],[-114.045829,36.442973],[-114.046488,36.473449],[-114.048476,36.49998],[-114.04966,36.621113],[-114.050167,36.624978],[-114.050562,36.656259],[-114.050619,36.843128],[-114.049995,36.957769],[-114.0506,37.000396],[-112.538593,37.000674]]]},\"properties\":{\"name\":\"Arizona\",\"nation\":\"USA \"}}]}","volume":"49","issue":"14","noUsgsAuthors":false,"publicationDate":"2024-09-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Soulard, Christopher E. 0000-0002-5777-9516 csoulard@usgs.gov","orcid":"https://orcid.org/0000-0002-5777-9516","contributorId":2642,"corporation":false,"usgs":true,"family":"Soulard","given":"Christopher","email":"csoulard@usgs.gov","middleInitial":"E.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":912039,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walker, Jessica J. 0000-0002-3225-0317","orcid":"https://orcid.org/0000-0002-3225-0317","contributorId":207373,"corporation":false,"usgs":true,"family":"Walker","given":"Jessica J.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":912040,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Britt Windsor 0000-0003-1556-2383","orcid":"https://orcid.org/0000-0003-1556-2383","contributorId":287481,"corporation":false,"usgs":true,"family":"Smith","given":"Britt","email":"","middleInitial":"Windsor","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":912041,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kreitler, Jason R. 0000-0002-0243-5281 jkreitler@usgs.gov","orcid":"https://orcid.org/0000-0002-0243-5281","contributorId":4050,"corporation":false,"usgs":true,"family":"Kreitler","given":"Jason","email":"jkreitler@usgs.gov","middleInitial":"R.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":912042,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70258672,"text":"gip242 - 2024 - The U.S. Geological Survey National Streamgage Network—2023","interactions":[],"lastModifiedDate":"2025-12-23T22:13:42.116878","indexId":"gip242","displayToPublicDate":"2024-09-23T11:33:40","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"242","displayTitle":"The U.S. Geological Survey National Streamgage Network—2023","title":"The U.S. Geological Survey National Streamgage Network—2023","docAbstract":"The U.S. Geological Survey (USGS) operated 11,850 continuous surface-water monitoring locations (streamgages) across the United States in 2023. The streamgages provide information on river height and streamflow, typically at 15-minute intervals. This information is then made available to everyone, most of it delivered nearly in realtime on the USGS National Water Dashboard.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip242","usgsCitation":"McCallum, B.E., 2024, The U.S. Geological Survey National Streamgage Network—2023: U.S. Geological Survey General Information Product 242, https://doi.org/10.3133/gip242.","productDescription":"1 p.","onlineOnly":"N","ipdsId":"IP-163973","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":481890,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip243","text":"GIP 243","description":"GIP 243","linkHelpText":"— U.S. Geological Survey Groundwater Climate Response Network—2023"},{"id":462132,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/0242/gip242.pdf","text":"Report","size":"1.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 242"},{"id":462131,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/0242/gip242.jpg"},{"id":481891,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip244","text":"GIP 244","description":"GIP 244","linkHelpText":"— The U.S. Geological Survey National Atmospheric Deposition Program, National Trends Network—2022 (ver. 1.1)"},{"id":481892,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip245","text":"GIP 245","description":"GIP 245","linkHelpText":"— The U.S. Geological Survey National Water Quality Network—Surface Water—2023"},{"id":497959,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117498.htm","linkFileType":{"id":5,"text":"html"}},{"id":481893,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip247","text":"GIP 247","description":"GIP 247","linkHelpText":"— The U.S. Geological Survey National Water Quality Network—Groundwater—2023"}],"contact":"National Streamgage Networks Coordinator
Observing Systems Division
Water Mission Area
U.S. Geological Survey
1770 Corporate Drive, Suite 500
Norcross, Georgia 30093