{"pageNumber":"78","pageRowStart":"1925","pageSize":"25","recordCount":68788,"records":[{"id":70251088,"text":"sir20235139 - 2024 - Water-quality indicators of surface-water-influenced groundwater supplies in the Ohio River alluvial aquifer of West Virginia","interactions":[],"lastModifiedDate":"2024-01-24T17:05:22.407091","indexId":"sir20235139","displayToPublicDate":"2024-01-24T10:30:00","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":"2023-5139","displayTitle":"Water-Quality Indicators of Surface-Water-Influenced Groundwater Supplies in the Ohio River Alluvial Aquifer of West Virginia","title":"Water-quality indicators of surface-water-influenced groundwater supplies in the Ohio River alluvial aquifer of West Virginia","docAbstract":"

The U.S. Geological Survey, in cooperation with the West Virginia Department of Health and Human Resources, studied surface-water-influenced groundwater supplies in the Ohio River alluvial aquifer of West Virginia for the purpose of understanding the influence of surface water on groundwater chemistry. Public groundwater supplies obtained from these aquifers receive substantial recharge from surface-water sources and are highly susceptible to degradation from water-soluble contaminants. Water samples were collected from 4 sites in the Ohio River and 23 groundwater wells in the alluvial aquifer from June 2019 to January 2020. Surface-water influence was assessed through characterization of groundwater quality, determination of recharge sources, estimation of groundwater age, and estimation of the fraction of Ohio River water entering groundwater pumped by wells in the alluvial aquifers.

Hydrogeochemical processes controlling solute concentrations in the Ohio River alluvial aquifer were evaluated with multivariate statistical analysis and identified to be primarily controlled by redox processes, input from sources of salinity, and carbonate dissolution. Meteoric recharge from the Ohio River and precipitation on the alluvium are the main sources of water entering the aquifer. The age of groundwater in the system was determined to be primarily from a modern source. Groundwater samples from every well included in this study had detections for at least one geochemical indicator of surface-water influence, and every well was determined to be susceptible and vulnerable to contamination from surface sources.

Results from binary mixing models and inverse geochemical models showed that sulfate, silica, and bicarbonate concentrations predict the fraction of Ohio River water entering alluvial wells for preliminary determination of surface-water influence when compared to fractions predicted using a numerical groundwater-flow model. In the absence of extensive analytes and geochemical or groundwater modeling capabilities, preliminary assessment of the fraction of Ohio River water entering groundwater wells in the Ohio River alluvium can be estimated for most sites using a linear relation between the equivalent ratio of bicarbonate to sulfate and the fraction of water computed by the average of the three geochemical models presented in this report. This approximation of the fraction of Ohio River water, coupled with information on the hydrogeological framework and geochemical indicators of surface-water influence, may be sufficient for preliminary assessment of surface-water influence in the absence of more detailed site information or reaction-transport models.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235139","collaboration":"Prepared in cooperation with the West Virginia Department of Health and Human Resources, Bureau for Public Health","usgsCitation":"McAdoo, M.A., and Connock, G.T., 2024, Water-quality indicators of surface-water-influenced groundwater supplies in the Ohio River alluvial aquifer of West Virginia: U.S. Geological Survey Scientific Investigations Report 2023–5139, 42 p., https://doi.org/10.3133/sir20235139.","productDescription":"Report: x, 42 p.; Data Release","numberOfPages":"42","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-153944","costCenters":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"links":[{"id":424695,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13TPVMI","text":"USGS data release","linkHelpText":"PHREEQC files for geochemical simulations in 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Director, Virginia and West Virginia Water Science Center
U.S. Geological Survey
1730 East Parham Road
Richmond, Virginia 23228

Contact Pubs Warehouse

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Introduction

The U.S. Geological Survey (USGS) has a broad research portfolio that addresses water resource issues that are critical to our Nation’s prosperity and quality of life. Socioeconomics, geopolitical stressors, population growth, climate variability, and other factors provide challenges for the management of water resources. Working collaboratively with partners, the USGS observes and monitors water and water-related parameters, provides assessments, conducts targeted research, and delivers information to users. Residing within the USGS Water Resources Mission Area, the Water Resources Research Act (WRRA) Program is a Federal-State partnership that uses a matching grant program to plan, facilitate, and coordinate water resources research, training, and information transfer to help meet the Nation’s water science needs.

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","tableOfContents":"","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2024-01-24","noUsgsAuthors":false,"publicationDate":"2024-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, Mark P. 0000-0003-1045-1772 mpmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-1045-1772","contributorId":1967,"corporation":false,"usgs":true,"family":"Miller","given":"Mark","email":"mpmiller@usgs.gov","middleInitial":"P.","affiliations":[{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"preferred":true,"id":890477,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Greene, Earl A. 0000-0002-9479-0829 eagreene@usgs.gov","orcid":"https://orcid.org/0000-0002-9479-0829","contributorId":3518,"corporation":false,"usgs":true,"family":"Greene","given":"Earl","email":"eagreene@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":890478,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williamson, Tanja N. 0000-0002-7639-8495 tnwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-7639-8495","contributorId":198329,"corporation":false,"usgs":true,"family":"Williamson","given":"Tanja","email":"tnwillia@usgs.gov","middleInitial":"N.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890479,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70251161,"text":"70251161 - 2024 - Examining the effect of physicochemical and meteorological variables on water quality indicators of harmful algal blooms in a shallow hypereutrophic lake using machine learning techniques","interactions":[],"lastModifiedDate":"2024-03-12T13:21:07.21717","indexId":"70251161","displayToPublicDate":"2024-01-24T07:10:47","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Examining the effect of physicochemical and meteorological variables on water quality indicators of harmful algal blooms in a shallow hypereutrophic lake using machine learning techniques","docAbstract":"

Two independent machine learning techniques, boosted regression trees and artificial neural networks, were used to examine the physicochemical and meteorological variables that affect the seasonal growth and decline of harmful algal blooms (HABs) in a shallow, hypereutrophic lake in southern Oregon. High temporal resolution data collected at four monitoring locations were aggregated into daily timesteps to create two response variables: (1) daily maximum pH (pHmax), representing HAB growth, and (2) daily minimum dissolved oxygen (DOmin), representing HAB decline. Predictors included meteorological and physical data, estimates of external phosphorus loading, and previous-year average nutrient concentrations, and excluded HAB biomass and internal phosphorus loading. The predictors that captured seasonal changes in both pHmax and DOmin were temperature, inflows, lake-surface elevation, and external phosphorus loading, while short-term changes were captured by measures of stratification, temperature, and wind speed. The pHmax models had similar fits with leave-one-year-out cross-validation (LOYO-CV) R2 values of 0.2–0.43 (median = 0.40). The DOmin models for the deeper locations had LOYO-CV R2 values of 0.27–0.43 compared to 0.1–0.25 for the shallower locations. Model performance was affected by variability due to patchiness of HABs, measurement uncertainty, and advection.

","language":"English","publisher":"American Chemical Society","doi":"10.1021/acsestwater.3c00299","usgsCitation":"Wherry, S., and Schenk, L.N., 2024, Examining the effect of physicochemical and meteorological variables on water quality indicators of harmful algal blooms in a shallow hypereutrophic lake using machine learning techniques: Water, v. 4, no. 3, p. 1073-1082, https://doi.org/10.1021/acsestwater.3c00299.","productDescription":"10 p.; Data Release","startPage":"1073","endPage":"1082","ipdsId":"IP-135772","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":440637,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acsestwater.3c00299","text":"Publisher Index Page"},{"id":435058,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P971MB6W","text":"USGS data release","linkHelpText":"Input and results from boosted regression tree and artificial neural network models that predict daily maximum pH and daily minimum dissolved oxygen in Upper Klamath Lake, 2005-2019"},{"id":424951,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Wherry, Susan 0000-0002-6749-8697 swherry@usgs.gov","orcid":"https://orcid.org/0000-0002-6749-8697","contributorId":140159,"corporation":false,"usgs":true,"family":"Wherry","given":"Susan","email":"swherry@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893307,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schenk, Liam N. 0000-0002-2491-0813 lschenk@usgs.gov","orcid":"https://orcid.org/0000-0002-2491-0813","contributorId":4273,"corporation":false,"usgs":true,"family":"Schenk","given":"Liam","email":"lschenk@usgs.gov","middleInitial":"N.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893308,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70251183,"text":"70251183 - 2024 - Multigenerational, indirect exposure to pyrethroids demonstrates potential compensatory response and reduced toxicity at higher salinity in estuarine fish","interactions":[],"lastModifiedDate":"2024-02-07T17:29:00.578687","indexId":"70251183","displayToPublicDate":"2024-01-24T06:48:59","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Multigenerational, indirect exposure to pyrethroids demonstrates potential compensatory response and reduced toxicity at higher salinity in estuarine fish","docAbstract":"

Estuarine environments are critical to fish species and serve as nurseries for developing embryos and larvae. They also undergo daily fluctuations in salinity and act as filters for pollutants. Additionally, global climate change (GCC) is altering salinity regimes within estuarine systems through changes in precipitation and sea level rise. GCC is also likely to lead to an increased use of insecticides to prevent pests from damaging agricultural crops as their habitats and mating seasons change from increased temperatures. This underscores the importance of understanding how insecticide toxicity to fish changes under different salinity conditions. In this study, larval Inland Silversides (Menidia beryllina) were exposed to bifenthrin (1.1 ng/L), cyfluthrin (0.9 ng/L), or cyhalothrin (0.7 ng/L) at either 6 or 10 practical salinity units (PSU) for 96 h during hatching, with a subset assessed for end points relevant to neurotoxicity and endocrine disruption by testing behavior, gene expression of a select suite of genes, reproduction, and growth. At both salinities, directly exposed F0 larvae were hypoactive relative to the F0 controls; however, the indirectly exposed F1 larvae were hyperactive relative to the F1 control. This could be evidence of a compensatory response to environmentally relevant concentrations of pyrethroids in fish. Effects on development, gene expression, and growth were also observed. Overall, exposure to pyrethroids at 10 PSU resulted in fewer behavioral and endocrine disruptive effects relative to those observed in organisms at 6 PSU.

","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.3c06234","usgsCitation":"Hutton, S., Siddiqui, S., Pedersen, E., Markgraf, C., Segarra, A., Hladik, M.L., Connon, R., and Brander, S.M., 2024, Multigenerational, indirect exposure to pyrethroids demonstrates potential compensatory response and reduced toxicity at higher salinity in estuarine fish: Environmental Science and Technology, v. 58, no. 5, p. 2224-2235, https://doi.org/10.1021/acs.est.3c06234.","productDescription":"12 p.","startPage":"2224","endPage":"2235","ipdsId":"IP-156101","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":488121,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://escholarship.org/uc/item/40v0d2qj","text":"Publisher Index Page"},{"id":425473,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"58","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Hutton, Sara","contributorId":298401,"corporation":false,"usgs":false,"family":"Hutton","given":"Sara","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":893387,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Siddiqui, Samreen","contributorId":298402,"corporation":false,"usgs":false,"family":"Siddiqui","given":"Samreen","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":893388,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pedersen, Emily","contributorId":298404,"corporation":false,"usgs":false,"family":"Pedersen","given":"Emily","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":893389,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Markgraf, Christopher","contributorId":298406,"corporation":false,"usgs":false,"family":"Markgraf","given":"Christopher","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":893390,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Segarra, Amelie 0000-0002-0551-0013","orcid":"https://orcid.org/0000-0002-0551-0013","contributorId":251846,"corporation":false,"usgs":false,"family":"Segarra","given":"Amelie","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":893391,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":203857,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893392,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Connon, Richard E","contributorId":152478,"corporation":false,"usgs":false,"family":"Connon","given":"Richard E","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":893393,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brander, Susanne M.","contributorId":187546,"corporation":false,"usgs":false,"family":"Brander","given":"Susanne","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":893394,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70251268,"text":"70251268 - 2024 - Multiple lines of evidence point to pesticides as stressors affecting invertebrate communities in small streams in five United States regions","interactions":[],"lastModifiedDate":"2024-02-07T17:30:55.287424","indexId":"70251268","displayToPublicDate":"2024-01-24T06:38:05","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Multiple lines of evidence point to pesticides as stressors affecting invertebrate communities in small streams in five United States regions","docAbstract":"

Multistressor studies were performed in five regions of the United States to assess the role of pesticides as stressors affecting invertebrate communities in wadable streams. Pesticides and other chemical and physical stressors were measured in 75 to 99 streams per region for 4 weeks, after which invertebrate communities were surveyed (435 total sites). Pesticides were sampled weekly in filtered water, and once in bed sediment. The role of pesticides as a stressor to invertebrate communities was assessed by evaluating multiple lines of evidence: toxicity predictions based on measured pesticide concentrations, multivariate models and other statistical analyses, and previously published mesocosm experiments. Toxicity predictions using benchmarks and species sensitivity distributions and statistical correlations suggested that pesticides were present at high enough concentrations to adversely affect invertebrate communities at the regional scale. Two undirected techniques—boosted regression tree models and distance-based linear models—identified which pesticides were predictors of (respectively) invertebrate metrics and community composition. To put insecticides in context with known, influential covariates of invertebrate response, generalized additive models were used to identify which individual pesticide(s) were important predictors of invertebrate community condition in each region, after accounting for natural covariates. Four insecticides were identified as stressors to invertebrate communities at the regional scale: bifenthrin, chlordane, fipronil and its degradates, and imidacloprid. Fipronil was particularly important in the Southeast region, and imidacloprid, bifenthrin, and chlordane were important in multiple regions. For imidacloprid, bifenthrin, and fipronil, toxicity predictions were supported by mesocosm experiments that demonstrated adverse effects on naïve aquatic communities when dosed under controlled conditions. These multiple lines of evidence do not prove causality—which is challenging in the field under multistressor conditions—but they make a strong case for the role of insecticides as stressors adversely affecting invertebrate communities in streams within the five sampled regions.


","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2023.169634","usgsCitation":"Nowell, L.H., Moran, P.W., Waite, I.R., Schmidt, T., Bradley, P., Mahler, B.J., and Van Metre, P., 2024, Multiple lines of evidence point to pesticides as stressors affecting invertebrate communities in small streams in five United States regions: Science of the Total Environment, v. 915, 169634, 19 p., https://doi.org/10.1016/j.scitotenv.2023.169634.","productDescription":"169634, 19 p.","ipdsId":"IP-133858","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":440644,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2023.169634","text":"Publisher Index Page"},{"id":425211,"rank":1,"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 -70.34093824090904,\n 45.96731982755614\n ],\n [\n -80.84386792840942,\n 45.96731982755614\n ],\n [\n -80.84386792840942,\n 41.36128542179111\n ],\n [\n -70.34093824090904,\n 41.36128542179111\n ],\n [\n -70.34093824090904,\n 45.96731982755614\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -80.99233772961507,\n 37.25579760233164\n ],\n [\n -80.99233772961507,\n 44.61324664080104\n ],\n [\n -98.26284554211517,\n 44.61324664080104\n ],\n [\n -98.26284554211517,\n 37.25579760233164\n ],\n [\n -80.99233772961507,\n 37.25579760233164\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -124.21510791138498,\n 42.504659813608754\n ],\n [\n -119.73794381696277,\n 42.504659813608754\n ],\n [\n -119.73794381696277,\n 49.0242512761713\n ],\n [\n -124.21510791138498,\n 49.0242512761713\n ],\n [\n -124.21510791138498,\n 42.504659813608754\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -124.53965220089417,\n 40.68005247321099\n ],\n [\n -124.53965220089417,\n 33.005079792847866\n ],\n [\n -116.48075683093388,\n 33.005079792847866\n ],\n [\n -116.48075683093388,\n 40.68005247321099\n ],\n [\n -124.53965220089417,\n 40.68005247321099\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -86.59958657168067,\n 32.245671596530244\n ],\n [\n -77.15684048162615,\n 32.245671596530244\n ],\n [\n -77.15684048162615,\n 38.79755456911414\n ],\n [\n -86.59958657168067,\n 38.79755456911414\n ],\n [\n -86.59958657168067,\n 32.245671596530244\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"915","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nowell, Lisa H. 0000-0001-5417-7264 lhnowell@usgs.gov","orcid":"https://orcid.org/0000-0001-5417-7264","contributorId":490,"corporation":false,"usgs":true,"family":"Nowell","given":"Lisa","email":"lhnowell@usgs.gov","middleInitial":"H.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":893776,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moran, Patrick W. 0000-0002-2002-3539 pwmoran@usgs.gov","orcid":"https://orcid.org/0000-0002-2002-3539","contributorId":489,"corporation":false,"usgs":true,"family":"Moran","given":"Patrick","email":"pwmoran@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893777,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Waite, Ian R. 0000-0003-1681-6955 iwaite@usgs.gov","orcid":"https://orcid.org/0000-0003-1681-6955","contributorId":616,"corporation":false,"usgs":true,"family":"Waite","given":"Ian","email":"iwaite@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893778,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmidt, Travis S. 0000-0003-1400-0637 tschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-1400-0637","contributorId":1300,"corporation":false,"usgs":true,"family":"Schmidt","given":"Travis S.","email":"tschmidt@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":893779,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bradley, Paul M. 0000-0001-7522-8606","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":205668,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893780,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mahler, Barbara J. 0000-0002-9150-9552","orcid":"https://orcid.org/0000-0002-9150-9552","contributorId":333743,"corporation":false,"usgs":false,"family":"Mahler","given":"Barbara","email":"","middleInitial":"J.","affiliations":[{"id":40102,"text":"U.S. Geological Survey, deceased","active":true,"usgs":false}],"preferred":false,"id":893781,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Van Metre, Peter 0000-0001-7564-9814","orcid":"https://orcid.org/0000-0001-7564-9814","contributorId":255624,"corporation":false,"usgs":false,"family":"Van Metre","given":"Peter","affiliations":[{"id":7065,"text":"USGS emeritus","active":true,"usgs":false}],"preferred":false,"id":893782,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70251117,"text":"70251117 - 2024 - Underwater flashlights: What light can tell us about water quality","interactions":[],"lastModifiedDate":"2024-01-24T13:09:00.393099","indexId":"70251117","displayToPublicDate":"2024-01-23T07:08:29","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9348,"text":"Frontiers for Young Minds","active":true,"publicationSubtype":{"id":10}},"title":"Underwater flashlights: What light can tell us about water quality","docAbstract":"Water is essential for life. The particles and dissolved chemicals found in rivers, lakes, and oceans are constantly changing with weather, seasons, and human activities. The substances found in water can be helpful or harmful to humans and other organisms. New technologies allow scientists to use waterproof computers (called sensors) to record the quality of water as it changes throughout the day or night. Many sensors use the interaction of water with light, or other energy forms, to learn about what is in it. Through observing what happens to light energy in water, scientists can reveal the sources and movements of harmful pollutants or essential nutrients for plants, animals, and bacteria. Networks containing many sensors work together to provide continuous information about the ever-changing conditions that affect all living organisms that depend on water.","language":"English","publisher":"Frontiers","doi":"10.3389/frym.2023.1201556","usgsCitation":"Ryan, K.A., and Burns, D., 2024, Underwater flashlights: What light can tell us about water quality: Frontiers for Young Minds, HTML Document, https://doi.org/10.3389/frym.2023.1201556.","productDescription":"HTML Document","ipdsId":"IP-148772","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":440646,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.3389/frym.2023.1201556","text":"Publisher Index Page"},{"id":424853,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2024-01-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Ryan, Kevin Alexander 0000-0003-1202-3616","orcid":"https://orcid.org/0000-0003-1202-3616","contributorId":331030,"corporation":false,"usgs":true,"family":"Ryan","given":"Kevin","email":"","middleInitial":"Alexander","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893177,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burns, Douglas A. 0000-0001-6516-2869","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":202943,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":893178,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70252510,"text":"70252510 - 2024 - A multiscale perspective for improving conservation of Conchos pupfish","interactions":[],"lastModifiedDate":"2024-09-11T16:10:31.575447","indexId":"70252510","displayToPublicDate":"2024-01-23T07:07:24","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":774,"text":"Animal Conservation","active":true,"publicationSubtype":{"id":10}},"title":"A multiscale perspective for improving conservation of Conchos pupfish","docAbstract":"

Desert spring systems of the American southwest hold high local fish endemism and are ranked among the most threatened ecosystems in the world. The prioritization of conservation resources to protect species living within these arid landscapes requires knowledge of species abundance and distribution. The plight of Conchos pupfish (Cyprinodon eximius) is representative of freshwater fishes the world over, including population extirpations caused by human poisoning of streams and reservoir construction, to the extent that the species was once considered extinct in the USA. We developed a distance-sampling framework to monitor Conchos pupfish abundance and coupled this approach with species distribution modeling to guide conservation actions. Our multiscale approach included surveying abundances within 5-m transects at three reaches of the Devils River, where the last known USA populations persist. We combined this fine-scale analysis with species distribution modeling for stream segments across the range of the species in Mexico and USA. Modeling revealed Conchos pupfish abundance among transects was negatively correlated with current velocity and detection was negatively correlated with water depth. Estimated abundance at a reach where the species was previously reintroduced was greater than other reaches combined in November 2019, lowest in March 2021 when reach water levels were very low, then equivalent with other reaches by October 2021 after water returned to the reach. Modeled Conchos pupfish distribution illustrated a high probability of occurrence on the periphery of the species' overall range within Texas, USA and broadly across Chihuahua, Mexico, where proposed protected areas might benefit the species. Our study provides conservation guidance by establishing (1) baseline and trajectory values for abundance, (2) transect locations where abundances might be managed within existing protected areas, (3) reaches where high abundances could be used for future repatriation, and (4) stream segments where future surveys might be conducted to assess conservation opportunities.

","language":"English","publisher":"Wiley","doi":"10.1111/acv.12930","usgsCitation":"Elkins, L.C., Acre, M.R., Bean, M.G., Robertson, S.M., Smith, R., and Perkin, J., 2024, A multiscale perspective for improving conservation of Conchos pupfish: Animal Conservation, v. 27, no. 4, p. 538-553, https://doi.org/10.1111/acv.12930.","productDescription":"16 p.","startPage":"538","endPage":"553","ipdsId":"IP-147079","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":440649,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/acv.12930","text":"Publisher Index Page"},{"id":427140,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-01-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Elkins, Lindsey C.","contributorId":335067,"corporation":false,"usgs":false,"family":"Elkins","given":"Lindsey","email":"","middleInitial":"C.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":897359,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Acre, Matthew Ross 0000-0002-5417-9523","orcid":"https://orcid.org/0000-0002-5417-9523","contributorId":268034,"corporation":false,"usgs":true,"family":"Acre","given":"Matthew","email":"","middleInitial":"Ross","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":897360,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bean, Megan G.","contributorId":335068,"corporation":false,"usgs":false,"family":"Bean","given":"Megan","email":"","middleInitial":"G.","affiliations":[{"id":27442,"text":"Texas parks and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":897361,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robertson, Sarah M.","contributorId":335069,"corporation":false,"usgs":false,"family":"Robertson","given":"Sarah","email":"","middleInitial":"M.","affiliations":[{"id":27442,"text":"Texas parks and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":897362,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Ryan 0000-0002-3747-6868","orcid":"https://orcid.org/0000-0002-3747-6868","contributorId":333943,"corporation":false,"usgs":false,"family":"Smith","given":"Ryan","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":897363,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Perkin, Joshuah S.","contributorId":238286,"corporation":false,"usgs":false,"family":"Perkin","given":"Joshuah S.","affiliations":[{"id":47708,"text":"Department of Wildlife and Fisheries Sciences, Texas A&M University, College Station, TX","active":true,"usgs":false}],"preferred":false,"id":897364,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70251071,"text":"ofr20231070 - 2024 - Resurvey of cross sections on the Yampa and Little Snake Rivers in Lily and Deerlodge Parks, Colorado","interactions":[],"lastModifiedDate":"2026-01-28T17:33:00.675089","indexId":"ofr20231070","displayToPublicDate":"2024-01-22T14:51:59","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":"2023-1070","displayTitle":"Resurvey of Cross Sections on the Yampa and Little Snake Rivers in Lily and Deerlodge Parks, Colorado","title":"Resurvey of cross sections on the Yampa and Little Snake Rivers in Lily and Deerlodge Parks, Colorado","docAbstract":"

Resurveys of seven geomorphologic cross sections located in the Lily Park and Deerlodge Park, Colorado, reaches of the Yampa and Little Snake Rivers were conducted in October 2017. These cross sections extend from Lily Park, at the confluence of the two rivers, to Deerlodge Park within Dinosaur National Monument. Four cross sections were first surveyed in 1983 and then resurveyed in 1997. The remaining three cross sections were first surveyed in 1997. Analysis of historical aerial photographs (taken from 1961 to 2015) was conducted to contextualize the measured changes in the cross sections, confirm cross-section longitudinal positions along the rivers, and verify the timing of artificial realignment and straightening of the Little Snake River. Erosion occurred between 1983 and 1997 in all four cross sections first surveyed in 1983, largely through channel widening. Continued erosion occurred between 1997 and 2017 in six of the seven cross sections, also largely by channel widening with only minor changes in channel depth. Though erosion occurred over a longer time period, the net erosion observed at these cross sections over three decades is consistent with the net erosion documented by a sediment-transport-based monitoring program on the Yampa River and Little Snake Rivers from 2013 to 2020.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231070","usgsCitation":"Griffiths, R.E., Topping, D.J., Leonard, C., and Unema, J.A., 2023, Resurvey of cross sections on the Yampa and Little Snake Rivers in Lily and Deerlodge Parks, Colorado: U.S. Geological Survey Open File Report 2023–1070, 12 p., https://doi.org/10.3133/ofr20231070.","productDescription":"v, 12 p.","numberOfPages":"12","onlineOnly":"Y","ipdsId":"IP-133353","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":499190,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115974.htm","linkFileType":{"id":5,"text":"html"}},{"id":424646,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1070/covrthb.jpg"},{"id":424648,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2023/1070/images"},{"id":424647,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1070/ofr20231070.pdf","text":"Report","size":"8 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"https://pubs.usgs.gov/of/2023/1070/ofr20231070.pdf"},{"id":424656,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20231070/full"},{"id":424655,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2023/1070/ofr20231070.xml"}],"country":"United States","state":"Colorado","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -108.59179261388168,\n 40.52987272306311\n ],\n [\n -108.59179261388168,\n 40.41797684941369\n ],\n [\n -108.31771685264421,\n 40.41797684941369\n ],\n [\n -108.31771685264421,\n 40.52987272306311\n ],\n [\n -108.59179261388168,\n 40.52987272306311\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Southwest Biological Science Center
U.S. Geological Survey
2255 N. Gemini Drive
Flagstaff, AZ 86001 

","tableOfContents":"","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2024-01-22","noUsgsAuthors":false,"publicationDate":"2024-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Griffiths, Ronald E. 0000-0003-3620-2926 rgriffiths@usgs.gov","orcid":"https://orcid.org/0000-0003-3620-2926","contributorId":162,"corporation":false,"usgs":true,"family":"Griffiths","given":"Ronald","email":"rgriffiths@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":892974,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Topping, David J. 0000-0002-2104-4577 dtopping@usgs.gov","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":296930,"corporation":false,"usgs":true,"family":"Topping","given":"David J.","email":"dtopping@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":892975,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leonard, Christina","contributorId":195596,"corporation":false,"usgs":false,"family":"Leonard","given":"Christina","email":"","affiliations":[],"preferred":true,"id":892976,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Unema, Joel A. 0000-0002-7428-219X junema@usgs.gov","orcid":"https://orcid.org/0000-0002-7428-219X","contributorId":156307,"corporation":false,"usgs":true,"family":"Unema","given":"Joel","email":"junema@usgs.gov","middleInitial":"A.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":892977,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70250152,"text":"ofr20231084 - 2024 - Report of the River Master of the Delaware River for the period December 1, 2013–November 30, 2014","interactions":[],"lastModifiedDate":"2026-01-28T17:37:12.683393","indexId":"ofr20231084","displayToPublicDate":"2024-01-22T14:20:00","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":"2023-1084","displayTitle":"Report of the River Master of the Delaware River for the Period December 1, 2013–November 30, 2014","title":"Report of the River Master of the Delaware River for the period December 1, 2013–November 30, 2014","docAbstract":"

Executive Summary

A Decree of the Supreme Court of the United States, entered June 7, 1954 (New Jersey v. New York, 347 U.S. 995), established the position of Delaware River Master within the U.S. Geological Survey. In addition, the Decree authorizes the diversion of water from the Delaware River Basin and requires compensating releases from specific reservoirs owned by New York City to be made under the supervision and direction of the River Master. The Decree stipulates that the River Master provide reports to the Court, not less frequently than annually. This report is the 61st annual report of the River Master of the Delaware River. The report covers the 2014 River Master report year, which is the period from December 1, 2013, to November 30, 2014.

During the report year, precipitation in the upper Delaware River Basin was 42.40 inches or 95 percent of the long-term average. On December 1, 2013, combined useable storage in New York’s Pepacton, Cannonsville, and Neversink Reservoirs in the upper Delaware River Basin was 200.133 billion gallons or 73.9 percent of the combined capacity of 270.8 billion gallons. The reservoirs were at about 99.7 percent of usable capacity on May 31, 2014. Combined storage in the Pepacton, Cannonsville, and Neversink Reservoirs decreased below 80 percent of combined capacity in late August. The lowest combined storage was 151.730 billion gallons or 56 percent of combined capacity on November 24, 2014. Delaware River Master operations during the year were conducted as stipulated by the Decree and the Flexible Flow Management Program.

Diversions from the Delaware River Basin by New York City and the State of New Jersey fully complied with the Decree. Reservoir releases were made as directed by the River Master at rates designed to meet the flow objective for the Delaware River at Montague, New Jersey, on 94 days during the report year. Interim Excess Release Quantity and conservation releases, designed to relieve thermal stress and protect the fishery and aquatic habitat in the tailwaters of the reservoirs, were also made during the report year.

Water quality in the Delaware River estuary between streamgages at Trenton, New Jersey, and Reedy Island Jetty, Delaware, was monitored at several locations. Data on water temperature, specific conductance, dissolved oxygen, and pH were collected continuously by electronic instruments at four locations.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231084","isbn":"978-1-4113-4543-0","programNote":"Water Availability and Use Science Program","usgsCitation":"Russell, K.L., Andrews, W.J., DiFrenna, V.J., Norris, J.M., and Mason, R.R., Jr., 2024, Report of the River Master of the Delaware River for the period December 1, 2013–November 30, 2014: U.S. Geological Survey Open-File Report 2023–1084, 98 p., https://doi.org/10.3133/ofr20231084.","productDescription":"xii, 98 p.","numberOfPages":"98","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-123859","costCenters":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"links":[{"id":499192,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115976.htm","linkFileType":{"id":5,"text":"html"}},{"id":422830,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2023/1084/ofr20231084.XML"},{"id":422831,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2023/1084/images/"},{"id":422832,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20231084/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2023-1084"},{"id":422833,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1084/coverthb.jpg"},{"id":422834,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1084/ofr20231084.pdf","text":"Report","size":"9.01 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2023-1084"}],"country":"United States","state":"New Jersey, New York, Pennsylvania","otherGeospatial":"Delaware River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.3534603634281,\n 39.372074240175664\n ],\n [\n -74.00,\n 39.372074240175664\n ],\n [\n -74.00,\n 43.02029898998293\n ],\n [\n -76.3534603634281,\n 43.02029898998293\n ],\n [\n -76.3534603634281,\n 39.372074240175664\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Delaware River Master
Office of the Delaware River Master
U.S. Geological Survey
120 Route 209
South Milford, PA 18337

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2024-01-22","noUsgsAuthors":false,"publicationDate":"2024-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Russell, Kendra L. 0000-0002-3046-7440","orcid":"https://orcid.org/0000-0002-3046-7440","contributorId":218135,"corporation":false,"usgs":true,"family":"Russell","given":"Kendra","email":"","middleInitial":"L.","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":888584,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andrews, William J. 0000-0003-4780-8835","orcid":"https://orcid.org/0000-0003-4780-8835","contributorId":216006,"corporation":false,"usgs":true,"family":"Andrews","given":"William","email":"","middleInitial":"J.","affiliations":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true},{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":888583,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DiFrenna, Vincent J. 0000-0002-1336-7288","orcid":"https://orcid.org/0000-0002-1336-7288","contributorId":222850,"corporation":false,"usgs":true,"family":"DiFrenna","given":"Vincent J.","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":888582,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Norris, J. Michael 0000-0002-7480-0161","orcid":"https://orcid.org/0000-0002-7480-0161","contributorId":222849,"corporation":false,"usgs":true,"family":"Norris","given":"J. Michael","affiliations":[{"id":39113,"text":"WMA - Office of Quality Assurance","active":true,"usgs":true}],"preferred":true,"id":888585,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mason, Jr. 0000-0002-3998-3468 rrmason@usgs.gov","orcid":"https://orcid.org/0000-0002-3998-3468","contributorId":2090,"corporation":false,"usgs":true,"family":"Mason","suffix":"Jr.","email":"rrmason@usgs.gov","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":888586,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70251134,"text":"70251134 - 2024 - Extreme low-frequency waves on the Ofu, American Samoa, reef flat","interactions":[],"lastModifiedDate":"2024-03-11T14:39:19.600496","indexId":"70251134","displayToPublicDate":"2024-01-22T06:59:05","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1338,"text":"Coral Reefs","active":true,"publicationSubtype":{"id":10}},"title":"Extreme low-frequency waves on the Ofu, American Samoa, reef flat","docAbstract":"

The southern fringing reef along Ofu, American Samoa, has been a focus of coral research owing to the presence of super-heated pools on the reef flat, where corals thrive in elevated sea temperatures. Here, we present the first documentation of exceptionally large low-frequency (periods > 100 s) waves over this reef flat. During a large, southerly swell event, low-frequency waves on the inner reef flat had mean heights of 0.7 m and periods of 2–4 min and are estimated to have contributed up to 50% of the total water levels. One observed low-frequency wave had a trough-to-peak vertical height of 1.5 m, possibly representing the largest low-frequency wave ever directly observed on a reef flat. These large, low-frequency waves, which were likely amplified by reef resonance, are important factors in coastal hazards such as flooding and erosion and may also be relevant to coral health and resilience.

","language":"English","publisher":"Springer","doi":"10.1007/s00338-023-02453-w","usgsCitation":"Cheriton, O.M., Storlazzi, C.D., Oberle, F.K., Rosenberger, K.J., and Brown, E.K., 2024, Extreme low-frequency waves on the Ofu, American Samoa, reef flat: Coral Reefs, v. 43, p. 185-191, https://doi.org/10.1007/s00338-023-02453-w.","productDescription":"7 p.","startPage":"185","endPage":"191","ipdsId":"IP-157670","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":440657,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00338-023-02453-w","text":"Publisher Index Page"},{"id":424851,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Ofu, American Samoa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -169.69863254706598,\n -14.148328735865661\n ],\n [\n -169.69863254706598,\n -14.198592348996542\n ],\n [\n -169.61898166815973,\n -14.198592348996542\n ],\n [\n -169.61898166815973,\n -14.148328735865661\n ],\n [\n -169.69863254706598,\n -14.148328735865661\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"43","noUsgsAuthors":false,"publicationDate":"2024-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Cheriton, Olivia M. 0000-0003-3011-9136","orcid":"https://orcid.org/0000-0003-3011-9136","contributorId":204459,"corporation":false,"usgs":true,"family":"Cheriton","given":"Olivia","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":893226,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":213610,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":893227,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oberle, Ferdinand K.J. 0000-0001-8871-3619","orcid":"https://orcid.org/0000-0001-8871-3619","contributorId":214402,"corporation":false,"usgs":true,"family":"Oberle","given":"Ferdinand","middleInitial":"K.J.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":893228,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosenberger, Kurt J. 0000-0002-5185-5776 krosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5185-5776","contributorId":140453,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Kurt","email":"krosenberger@usgs.gov","middleInitial":"J.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":893229,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, Eric K.","contributorId":204568,"corporation":false,"usgs":false,"family":"Brown","given":"Eric","email":"","middleInitial":"K.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":893230,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70251108,"text":"70251108 - 2024 - The economics of decarbonizing Costa Rica's agriculture, forestry and other land uses sectors","interactions":[],"lastModifiedDate":"2024-01-23T12:58:03.361697","indexId":"70251108","displayToPublicDate":"2024-01-22T06:55:18","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1453,"text":"Ecological Economics","active":true,"publicationSubtype":{"id":10}},"title":"The economics of decarbonizing Costa Rica's agriculture, forestry and other land uses sectors","docAbstract":"

In 2018, Costa Rica demonstrated its commitment to the Paris Agreement and published its Decarbonization Plan for achieving zero net emissions by the year 2050. We evaluate the impacts of the country's strategy for decarbonizing its Agriculture, Forestry and Other Land Uses (AFOLU) sectors by coupling the Integrated Economic-Environmental Modeling framework with high-resolution spatial land use-land cover change and ecosystem services modeling (IEEM+ESM). Our results show that decarbonization of AFOLU would simultaneously enhance carbon storage, water purification, water regulation and erosion mitigation ecosystem services. Moreover, the positive cumulative wealth impact of decarbonization would be approximately US$7.27 billion by 2050 while lifting an additional 3810 individuals out of poverty. From a public investment perspective, decarbonization would have a fiscally neutral impact with the economic benefits sufficient in magnitude to off-set policy implementation costs and generate economic returns of over US$852 million when changes in natural capital stocks and environmental quality are considered. This application to Costa Rica is the first integrated economy-wide analysis of a growing number of decarbonization plans globally. The IEEM+ESM approach provides an integrated framework for analyzing decarbonization plans and can be used to refine AFOLU mitigation strategies to capitalize on synergies and minimize negative trade-offs across the three dimensions of wealth and sustainable economic development, namely economy, society and the environment.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolecon.2024.108115","usgsCitation":"Banerjee, O., Cicowiez, M., Vargas, R., Molina-Perez, E., Bagstad, K.J., and Malek, Z., 2024, The economics of decarbonizing Costa Rica's agriculture, forestry and other land uses sectors: Ecological Economics, v. 218, 108115, 15 p., https://doi.org/10.1016/j.ecolecon.2024.108115.","productDescription":"108115, 15 p.","ipdsId":"IP-146533","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":486947,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://research.vu.nl/en/publications/982c7ba2-e757-4767-b936-64ab57cabf27","text":"External Repository"},{"id":424738,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Costa Rica","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-82.96578,8.22503],[-83.50844,8.44693],[-83.71147,8.65684],[-83.59631,8.83044],[-83.63264,9.05139],[-83.90989,9.2908],[-84.3034,9.48735],[-84.64764,9.61554],[-84.71335,9.90805],[-84.97566,10.08672],[-84.91137,9.79599],[-85.11092,9.55704],[-85.33949,9.83454],[-85.66079,9.93335],[-85.79744,10.13489],[-85.79171,10.43934],[-85.65931,10.75433],[-85.94173,10.89528],[-85.71254,11.08844],[-85.56185,11.21712],[-84.903,10.9523],[-84.67307,11.08266],[-84.35593,10.99923],[-84.19018,10.79345],[-83.89505,10.72684],[-83.65561,10.93876],[-83.40232,10.39544],[-83.01568,9.99298],[-82.5462,9.56613],[-82.93289,9.47681],[-82.92715,9.07433],[-82.71918,8.92571],[-82.86866,8.80727],[-82.82977,8.6263],[-82.91318,8.42352],[-82.96578,8.22503]]]},\"properties\":{\"name\":\"Costa Rica\"}}]}","volume":"218","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Banerjee, Onil","contributorId":224437,"corporation":false,"usgs":false,"family":"Banerjee","given":"Onil","email":"","affiliations":[{"id":40887,"text":"Inter-American Development Bank","active":true,"usgs":false}],"preferred":false,"id":893151,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cicowiez, Martin","contributorId":299650,"corporation":false,"usgs":false,"family":"Cicowiez","given":"Martin","email":"","affiliations":[{"id":40888,"text":"Universidad Nacional de la Plata","active":true,"usgs":false}],"preferred":false,"id":893152,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vargas, Renato 0000-0002-2302-1141","orcid":"https://orcid.org/0000-0002-2302-1141","contributorId":299655,"corporation":false,"usgs":false,"family":"Vargas","given":"Renato","email":"","affiliations":[{"id":64919,"text":"CHW Research","active":true,"usgs":false}],"preferred":false,"id":893153,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Molina-Perez, Edmundo 0000-0003-0774-3205","orcid":"https://orcid.org/0000-0003-0774-3205","contributorId":333577,"corporation":false,"usgs":false,"family":"Molina-Perez","given":"Edmundo","email":"","affiliations":[{"id":79938,"text":"Instituto Tecnológico de Monterrey","active":true,"usgs":false}],"preferred":false,"id":893154,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bagstad, Kenneth J. 0000-0001-8857-5615 kjbagstad@usgs.gov","orcid":"https://orcid.org/0000-0001-8857-5615","contributorId":3680,"corporation":false,"usgs":true,"family":"Bagstad","given":"Kenneth","email":"kjbagstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":893155,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Malek, Ziga 0000-0002-6981-6708","orcid":"https://orcid.org/0000-0002-6981-6708","contributorId":299652,"corporation":false,"usgs":false,"family":"Malek","given":"Ziga","email":"","affiliations":[{"id":64916,"text":"Vrije Univeriteit Amsterdam","active":true,"usgs":false}],"preferred":false,"id":893156,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70251093,"text":"70251093 - 2024 - Identifying and constraining marsh-type transitions in response to increasing erosion over the past century","interactions":[],"lastModifiedDate":"2025-05-13T15:59:57.107562","indexId":"70251093","displayToPublicDate":"2024-01-22T06:39:44","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Identifying and constraining marsh-type transitions in response to increasing erosion over the past century","docAbstract":"

Marsh environments, characterized by their flora and fauna, change laterally in response to shoreline erosion, water levels and inundation, and anthropogenic activities. The Grand Bay coastal system (USA) has undergone multiple large-scale geomorphic and hydrologic changes resulting in altered sediment supply, depositional patterns, and degraded barrier islands, leaving wetland salt marshes vulnerable to increased wave activity. Two shore-perpendicular transect sites, one along a low-activity shoreline and the other in a high activity area of the same bay-marsh complex, were sampled to investigate how the marshes within 50 m of the modern shoreline have responded to different levels of increased wave activity over the past century. Surface sediments graded finer and more organic with increased distance from the shoreline while cores generally exhibited a coarsening upwards grain-size trend; all cores contained multiple large sedimentological shifts. 210Pb-based mass accumulation rates over the last two decades were greater than the long-term (centurial) average at each site with the fastest accumulation rates of 7.81 ± 1.58 and 7.79 ± 1.63 kg/m2/year at the sites nearest the shoreline. A shoreline change analysis of three time-slices (1848–2017, 1957–2017, 2016–2017) shows increased erosion at both sites since 1848 with modern rates of −0.95 and −0.88 m/year. Downcore sedimentology, mass accumulation rates, and shoreline change rates paired with foraminiferal biofacies and identification of local estuarine indicator species, Paratrochammina simplissima, aided in identifying paleo marsh types, their relative proximity to the shoreline, and sediment provenance. The high-energy marsh site transitioned from middle marsh to low marsh in the 1960s, and the low-energy marsh site transitioned later, at the end of the twentieth and early twenty-first century, due to its more protected location. Marsh type transition corresponds chronologically with the coarsening upwards grain-size trend observed and the degradation of Grand Batture Island; since its submergence, signatures of multiple storm event have been preserved downcore.

","language":"English","publisher":"Springer","doi":"10.1007/s12237-023-01320-9","usgsCitation":"Ellis, A.M., Smith, C., Smith, K., and Jacobs, J.A., 2024, Identifying and constraining marsh-type transitions in response to increasing erosion over the past century: Estuaries and Coasts, v. 47, p. 701-723, https://doi.org/10.1007/s12237-023-01320-9.","productDescription":"23 p.","startPage":"701","endPage":"723","ipdsId":"IP-139224","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":440666,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-023-01320-9","text":"Publisher Index Page"},{"id":424735,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Mississippi","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -88.55887042293745,\n 30.413358534481205\n ],\n [\n -88.55887042293745,\n 30.2776597547238\n ],\n [\n -88.36935626278142,\n 30.2776597547238\n ],\n [\n -88.36935626278142,\n 30.413358534481205\n ],\n [\n -88.55887042293745,\n 30.413358534481205\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"47","noUsgsAuthors":false,"publicationDate":"2024-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Ellis, Alisha M. 0000-0002-1785-020X aellis@usgs.gov","orcid":"https://orcid.org/0000-0002-1785-020X","contributorId":192957,"corporation":false,"usgs":true,"family":"Ellis","given":"Alisha","email":"aellis@usgs.gov","middleInitial":"M.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":893068,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Christopher G. 0000-0002-8075-4763","orcid":"https://orcid.org/0000-0002-8075-4763","contributorId":218439,"corporation":false,"usgs":true,"family":"Smith","given":"Christopher G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":893069,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Kathryn E.L. 0000-0002-7521-7875 kelsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-7521-7875","contributorId":173264,"corporation":false,"usgs":true,"family":"Smith","given":"Kathryn","email":"kelsmith@usgs.gov","middleInitial":"E.L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":893070,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jacobs, Jessica A. 0000-0001-5611-2093","orcid":"https://orcid.org/0000-0001-5611-2093","contributorId":333551,"corporation":false,"usgs":true,"family":"Jacobs","given":"Jessica","email":"","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":893071,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70251492,"text":"70251492 - 2024 - Dynamic modeling of coastal compound flooding hazards due to tides, extratropical storms, waves, and sea-level rise: A case study in the Salish Sea, Washington (USA)","interactions":[],"lastModifiedDate":"2024-02-13T15:05:07.531397","indexId":"70251492","displayToPublicDate":"2024-01-20T08:57:58","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Dynamic modeling of coastal compound flooding hazards due to tides, extratropical storms, waves, and sea-level rise: A case study in the Salish Sea, Washington (USA)","docAbstract":"

The Puget Sound Coastal Storm Modeling System (PS-CoSMoS) is a tool designed to dynamically downscale future climate scenarios (i.e., projected changes in wind and pressure fields and temperature) to compute regional water levels, waves, and compound flooding over large geographic areas (100 s of kilometers) at high spatial resolutions (1 m) pertinent to coastal hazard assessments and planning. This research focuses on advancing robust and computationally efficient approaches to resolving the coastal compound flooding components for complex, estuary environments and their application to the Puget Sound region of Washington State (USA) and the greater Salish Sea. The modeling system provides coastal planners with projections of storm hazards and flood exposure for recurring flood events, spanning the annual to 1-percent annual chance of flooding, necessary to manage public safety and the prioritization and cost-efficient protection of critical infrastructure and valued ecosystems. The tool is applied and validated for Whatcom County, Washington, and includes a cross-shore profile model (XBeach) and overland flooding model (SFINCS) and is nested in a regional tide–surge model and wave model. Despite uncertainties in boundary conditions, hindcast simulations performed with the coupled model system accurately identified areas that were flooded during a recent storm in 2018. Flood hazards and risks are expected to increase exponentially as the sea level rises in the study area of 210 km of shoreline. With 1 m of sea-level rise, annual flood extents are projected to increase from 13 to 33 km2 (5 and 13% of low-lying Whatcom County) and flood risk (defined in USD) is projected to increase fifteenfold (from 14 to USD 206 million). PS-CoSMoS, like its prior iteration in California (CoSMoS), provides valuable coastal hazard projections to help communities plan for the impacts of sea-level rise and storms.

","language":"English","publisher":"MDPI","doi":"10.3390/w16020346","usgsCitation":"Nederhoff, K., Crosby, S.C., vanArendonk, N.R., Grossman, E.E., Tehranirad, B., Leijnse, T., Klessens, W., and Barnard, P.L., 2024, Dynamic modeling of coastal compound flooding hazards due to tides, extratropical storms, waves, and sea-level rise: A case study in the Salish Sea, Washington (USA): Water, v. 16, no. 2, 346, 23 p., https://doi.org/10.3390/w16020346.","productDescription":"346, 23 p.","ipdsId":"IP-147555","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":440676,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w16020346","text":"Publisher Index Page"},{"id":425606,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","county":"Whatcom County","otherGeospatial":"Salish Sea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.1,\n 49.1\n ],\n [\n -123.1,\n 48.6\n ],\n [\n -122.4,\n 48.6\n ],\n [\n -122.4,\n 49.1\n ],\n [\n -123.1,\n 49.1\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"16","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-01-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Nederhoff, Kees 0000-0003-0552-3428","orcid":"https://orcid.org/0000-0003-0552-3428","contributorId":334091,"corporation":false,"usgs":false,"family":"Nederhoff","given":"Kees","affiliations":[{"id":39963,"text":"Deltares-USA","active":true,"usgs":false}],"preferred":true,"id":894711,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crosby, Sean C. 0000-0002-1499-6836","orcid":"https://orcid.org/0000-0002-1499-6836","contributorId":219466,"corporation":false,"usgs":false,"family":"Crosby","given":"Sean","email":"","middleInitial":"C.","affiliations":[{"id":40000,"text":"Contractor, USGS","active":true,"usgs":false}],"preferred":false,"id":894712,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"vanArendonk, Nathan R. 0000-0003-3911-995X","orcid":"https://orcid.org/0000-0003-3911-995X","contributorId":219469,"corporation":false,"usgs":false,"family":"vanArendonk","given":"Nathan","email":"","middleInitial":"R.","affiliations":[{"id":12723,"text":"Western Washington University","active":true,"usgs":false}],"preferred":false,"id":894713,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grossman, Eric E. 0000-0003-0269-6307 egrossman@usgs.gov","orcid":"https://orcid.org/0000-0003-0269-6307","contributorId":196610,"corporation":false,"usgs":true,"family":"Grossman","given":"Eric","email":"egrossman@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":894714,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tehranirad, Babak 0000-0002-1634-9165","orcid":"https://orcid.org/0000-0002-1634-9165","contributorId":299107,"corporation":false,"usgs":false,"family":"Tehranirad","given":"Babak","affiliations":[{"id":64774,"text":"contracted to USGS PCMSC","active":true,"usgs":false}],"preferred":false,"id":894715,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Leijnse, T.","contributorId":334101,"corporation":false,"usgs":false,"family":"Leijnse","given":"T.","email":"","affiliations":[{"id":36257,"text":"Deltares","active":true,"usgs":false}],"preferred":false,"id":894716,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Klessens, W.","contributorId":334103,"corporation":false,"usgs":false,"family":"Klessens","given":"W.","affiliations":[{"id":36257,"text":"Deltares","active":true,"usgs":false}],"preferred":false,"id":894717,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":140982,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick","email":"pbarnard@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":894718,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70251160,"text":"70251160 - 2024 - Temporal variability in irrigated land and climate influences on salinity loading across the Upper Colorado River Basin, 1986-2017","interactions":[],"lastModifiedDate":"2024-01-25T12:55:51.096512","indexId":"70251160","displayToPublicDate":"2024-01-19T06:52:26","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Temporal variability in irrigated land and climate influences on salinity loading across the Upper Colorado River Basin, 1986-2017","docAbstract":"

Freshwater salinization is a growing global concern impacting human and ecosystem needs with impacts to water availability for human and ecological uses. In the Upper Colorado River Basin (UCRB), dissolved solids in streams compound ongoing water supply challenges to further limit water availability and cause economic damages. Much effort has been dedicated to understanding dissolved solid sources, transport, and management in the region, yet temporal variability in loading from key sources such as irrigated lands and the influence of climate on dissolved solids loading remains unknown. Quantifying the contributions and temporal variability of dissolved solids loads from irrigated lands may benefit salinity management efforts. This study applies a time-varying (dynamic) modeling approach to predict annual dissolved solids loads across the UCRB from 1986 through 2017. Between 66% and 82% of the total accumulated dissolved solids load in the basin is from groundwater (storage and baseflow). Our findings link climate, irrigation, and groundwater, and confirm large storage contributions that have declined slightly with time. Dissolved solids loads increase during wet periods and decrease during dry periods, although the relative contributions of different sources vary little with time. Irrigation enhances loading efficiency relative to unirrigated areas through runoff and groundwater, and can locally be a major source of dissolved solids where irrigation occurs. Results indicate that loads from irrigated areas increase when irrigated area and/or water available for runoff increase. Increased regional aridification over the study period may have contributed to decreasing stream salinity through both quicker surface runoff and lagged groundwater storage processes. Study results may be relevant to salinity management in arid environments where water availability is limited and where irrigation influences salinity loading to streams.

","language":"English","publisher":"IOP Science","doi":"10.1088/1748-9326/ad18dd","usgsCitation":"Miller, O.L., Putman, A.L., Smith, R.A., Schwarz, G.E., Hess, M.D., McDonnell, M.C., and Jones, D.K., 2024, Temporal variability in irrigated land and climate influences on salinity loading across the Upper Colorado River Basin, 1986-2017: Environmental Research Letters, v. 19, no. 2, 024008, 14 p., https://doi.org/10.1088/1748-9326/ad18dd.","productDescription":"024008, 14 p.","ipdsId":"IP-147816","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":440686,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/ad18dd","text":"Publisher Index Page"},{"id":424946,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Upper Colorado River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -113.17543892334504,\n 43.880984170983\n ],\n [\n -113.17543892334504,\n 34.505329700284875\n ],\n [\n -104.86977486084497,\n 34.505329700284875\n ],\n [\n -104.86977486084497,\n 43.880984170983\n ],\n [\n -113.17543892334504,\n 43.880984170983\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"19","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-01-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, Olivia L. 0000-0002-8846-7048","orcid":"https://orcid.org/0000-0002-8846-7048","contributorId":216556,"corporation":false,"usgs":true,"family":"Miller","given":"Olivia","email":"","middleInitial":"L.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893300,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Putman, Annie L. 0000-0002-9424-1707","orcid":"https://orcid.org/0000-0002-9424-1707","contributorId":225134,"corporation":false,"usgs":true,"family":"Putman","given":"Annie","email":"","middleInitial":"L.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893301,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Richard A. 0000-0003-2117-2269 rsmith1@usgs.gov","orcid":"https://orcid.org/0000-0003-2117-2269","contributorId":580,"corporation":false,"usgs":true,"family":"Smith","given":"Richard","email":"rsmith1@usgs.gov","middleInitial":"A.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":893302,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schwarz, Gregory E. 0000-0002-9239-4566 gschwarz@usgs.gov","orcid":"https://orcid.org/0000-0002-9239-4566","contributorId":213621,"corporation":false,"usgs":true,"family":"Schwarz","given":"Gregory","email":"gschwarz@usgs.gov","middleInitial":"E.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":893303,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hess, Michael D. 0000-0002-9958-9163","orcid":"https://orcid.org/0000-0002-9958-9163","contributorId":216504,"corporation":false,"usgs":true,"family":"Hess","given":"Michael","email":"","middleInitial":"D.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893304,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McDonnell, Morgan C. 0000-0001-6946-9286","orcid":"https://orcid.org/0000-0001-6946-9286","contributorId":296906,"corporation":false,"usgs":true,"family":"McDonnell","given":"Morgan","email":"","middleInitial":"C.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893305,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jones, Daniel K. 0000-0003-0724-8001 dkjones@usgs.gov","orcid":"https://orcid.org/0000-0003-0724-8001","contributorId":4959,"corporation":false,"usgs":true,"family":"Jones","given":"Daniel","email":"dkjones@usgs.gov","middleInitial":"K.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893306,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70251287,"text":"70251287 - 2024 - Wetland geomorphology and tidal hydrodynamics drive fine-scale fish community composition and abundance","interactions":[],"lastModifiedDate":"2024-02-02T12:48:40.705518","indexId":"70251287","displayToPublicDate":"2024-01-19T06:43:32","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Wetland geomorphology and tidal hydrodynamics drive fine-scale fish community composition and abundance","docAbstract":"

Effective restoration of tidal wetlands for fish communities requires clear goals and mechanistic understanding of the ecosystem drivers which affect fish distribution and abundance. We examined fish community responses to abiotic habitat features in two adjacent but dissimilar freshwater tidal wetlands in the Sacramento-San Joaquin Delta, CA, USA, each of which represents a potential restoration configuration. The first wetland was characterized by a broad, intertidal basin with relatively high hydrodynamic exchange with surrounding waterways. The second wetland was characterized by a dendritic network of shallow subtidal channels with relatively low hydrodynamic exchange. Fish community composition significantly differed between the two wetlands, based on permutational analysis of variance. Fish abundance within and among the two wetlands was also highly affected by specific geomorphic and hydrodynamic characteristics: distance from connection with the main external waterway, bed elevation, and water surface elevation. The physical configuration of a restored tidal wetland, in conjunction with the way tides move across the restored landscape, has strong implications for local fishes. Manipulating these elements to create a landscape mosaic of habitat configurations can be an effective tool for targeting desired restoration outcomes, such as specific fish communities or target fish densities.

","language":"English","publisher":"Springer","doi":"10.1007/s10641-023-01507-w","usgsCitation":"Clause, J.K., Farruggia, M.J., Feyrer, F.V., and Young, M.J., 2024, Wetland geomorphology and tidal hydrodynamics drive fine-scale fish community composition and abundance: Environmental Biology of Fishes, v. 107, p. 33-46, https://doi.org/10.1007/s10641-023-01507-w.","productDescription":"14 p","startPage":"33","endPage":"46","ipdsId":"IP-157341","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":440688,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1007/s10641-023-01507-w","text":"Publisher Index Page"},{"id":425279,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.37364768283656,\n 38.58599717537453\n ],\n [\n -122.37364768283656,\n 37.51368931606659\n ],\n [\n -120.96300236622889,\n 37.51368931606659\n ],\n [\n -120.96300236622889,\n 38.58599717537453\n ],\n [\n -122.37364768283656,\n 38.58599717537453\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"107","noUsgsAuthors":false,"publicationDate":"2024-01-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Clause, Justin Kinsey 0000-0003-0205-0821","orcid":"https://orcid.org/0000-0003-0205-0821","contributorId":270125,"corporation":false,"usgs":true,"family":"Clause","given":"Justin","email":"","middleInitial":"Kinsey","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893871,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Farruggia, Mary Jade 0000-0003-4234-6678","orcid":"https://orcid.org/0000-0003-4234-6678","contributorId":333769,"corporation":false,"usgs":false,"family":"Farruggia","given":"Mary","email":"","middleInitial":"Jade","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":893872,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Feyrer, Frederick V. 0000-0003-1253-2349 ffeyrer@usgs.gov","orcid":"https://orcid.org/0000-0003-1253-2349","contributorId":178379,"corporation":false,"usgs":true,"family":"Feyrer","given":"Frederick","email":"ffeyrer@usgs.gov","middleInitial":"V.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893873,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Young, Matthew J. 0000-0001-9306-6866 mjyoung@usgs.gov","orcid":"https://orcid.org/0000-0001-9306-6866","contributorId":206255,"corporation":false,"usgs":true,"family":"Young","given":"Matthew","email":"mjyoung@usgs.gov","middleInitial":"J.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893874,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70250850,"text":"ofr20231081 - 2024 - Water-level change from a multiple-well aquifer test in volcanic rocks, Umatilla Indian Reservation near Mission, northeastern Oregon, 2016","interactions":[],"lastModifiedDate":"2026-01-28T17:35:11.290065","indexId":"ofr20231081","displayToPublicDate":"2024-01-18T15:29:15","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":"2023-1081","displayTitle":"Water-Level Change from a Multiple-Well Aquifer Test in Volcanic Rocks, Umatilla Indian Reservation near Mission, Northeastern Oregon, 2016","title":"Water-level change from a multiple-well aquifer test in volcanic rocks, Umatilla Indian Reservation near Mission, northeastern Oregon, 2016","docAbstract":"

The U.S. Geological Survey, in cooperation with the Confederated Tribes of the Umatilla Indian Reservation (CTUIR), (1) estimated water-level change from a multiple-well aquifer test centered on CTUIR well number 422 and (2) evaluated hydraulic connections between the pumping and observation wells on the Umatilla Indian Reservation near Mission, northeastern Oregon to improve the understanding of aquifer characteristics and hydrologic flow boundaries. Water-level changes, or pumping responses, were determined by distinguishing the pumping signal from environmental fluctuations in groundwater levels using analytical water-level models. The pumping well produces water from basalt units from a depth of 450 to 1,057 feet below land surface and was intermittently pumped during February 1–April 18, 2016. Water-level responses to pumping were estimated in the pumping well and in seven observation wells within 4 miles (mi) of the pumping well. The observation wells are open to basalt and some observation wells are either separated from the pumping well by faults and other structural features, within structural zones, or adjacent to structural features. Pumping responses at the observation wells were classified as detected in two wells, ambiguous in one well, and not detected in four wells. Observation-well open-interval elevations overlapped with the pumping-well open interval in both wells with detected pumping responses. Observation wells with detections are 1.8 mi east of the pumping well and across a fault, and 1.4 mi south of the pumping well. The pumping response was classified as ambiguous in an observation well located 1.4 mi west of the pumping well, where the dip of the basalt unit steepens, and adjacent to the Agency syncline. Pumping responses were not detected in observation wells within 0.3 mi of the pumping well where observation-well open-interval elevations are above the top of the pumping well open interval. Analysis of pumping responses indicates (1) a more permeable zone of basalt is adjacent to the lower portion of the pumping-well open interval and extends eastward, (2) basalt adjacent to the upper portion of the pumping-well open-interval is less permeable than the lower portion or separated from the lower portion by a less permeable zone, and (or) (3) a less permeable zone limits vertical hydraulic connectivity between the pumping well and the overlying basalt.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231081","collaboration":"Prepared in cooperation with Confederated Tribes of the Umatilla Indian Reservation","usgsCitation":"Garcia, C.A., Kennedy, J.J., and Ely, K., 2024, Water-level change from a multiple-well aquifer test in volcanic rocks, Umatilla Indian Reservation near Mission, northeastern Oregon, 2016: U.S. Geological Survey Open-File Report 2023–1081, 16 p., https://doi.org/10.3133/ofr20231081.","productDescription":"Report: vii, 16 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-149402","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":499191,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115942.htm","linkFileType":{"id":5,"text":"html"}},{"id":424231,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2023/1081/ofr20231081.XML"},{"id":424229,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9Q1122I","text":"USGS data release","description":"USGS data release","linkHelpText":"Multiple-well aquifer-test data and results, Umatilla Indian Reservation near Mission, northeastern Oregon"},{"id":424228,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20231081/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2023-1081"},{"id":424227,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1081/ofr20231081.pdf","text":"Report","size":"3.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2023-1081"},{"id":424230,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2023/1081/images"},{"id":424226,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1081/ofr20231081.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Umatilla Indian Reservation","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.5,\n 45.44\n ],\n [\n -118.5,\n 45.36\n ],\n [\n -118.36,\n 45.36\n ],\n [\n -118.36,\n 45.44\n ],\n [\n -118.5,\n 45.44\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director , Oregon Water Science Center
U.S. Geological Survey
601 SW 2nd Avenue, Suite 1950
Portland, OR 97204

","tableOfContents":"","publishedDate":"2024-01-18","noUsgsAuthors":false,"publicationDate":"2024-01-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Garcia, C. Amanda 0000-0003-3776-3565 cgarcia@usgs.gov","orcid":"https://orcid.org/0000-0003-3776-3565","contributorId":1899,"corporation":false,"usgs":true,"family":"Garcia","given":"C.","email":"cgarcia@usgs.gov","middleInitial":"Amanda","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":891781,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kennedy, Joseph J. 0000-0002-6608-2366","orcid":"https://orcid.org/0000-0002-6608-2366","contributorId":333051,"corporation":false,"usgs":false,"family":"Kennedy","given":"Joseph J.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":891782,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ely, Kate","contributorId":192464,"corporation":false,"usgs":false,"family":"Ely","given":"Kate","affiliations":[{"id":13345,"text":"Confederated Tribes of the Umatilla Indian Reservation","active":true,"usgs":false}],"preferred":false,"id":891783,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70250992,"text":"sir20235129 - 2024 - Assessment of per- and polyfluoroalkyl substances in water resources of New Mexico, 2020–21","interactions":[],"lastModifiedDate":"2026-01-30T19:26:05.893798","indexId":"sir20235129","displayToPublicDate":"2024-01-18T13:57:27","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":"2023-5129","displayTitle":"Assessment of Per- and Polyfluoroalkyl Substances in Water Resources of New Mexico, 2020–21","title":"Assessment of per- and polyfluoroalkyl substances in water resources of New Mexico, 2020–21","docAbstract":"

Per- and polyfluoroalkyl substances (PFAS) have been detected in public and private drinking-water wells, springs, and surface waters in New Mexico; however, the presence and distribution of PFAS in water resources across the State are not well characterized. From August 2020 to October 2021, the U.S. Geological Survey, in cooperation with the New Mexico Environment Department, collected water-quality samples from groundwater and surface-water sites throughout New Mexico. One hundred and seventeen groundwater wells were sampled from unconfined water-table aquifers for PFAS and a geochemical suite including major ions, trace elements, nutrients, dissolved organic carbon (DOC), stable isotopes of oxygen and hydrogen, tritium, and carbon-14 to provide context for groundwater age and geochemical evolution. Eighteen surface-water samples were analyzed for PFAS, and select samples were analyzed for wastewater tracers, major ions, trace elements, and DOC. Blanks and replicates indicated low bias and variability for PFAS, wastewater tracers, and geochemical compounds.

Twenty-seven of the 117 groundwater sites had PFAS concentrations reported above the detection level, and there were no exceedances of the 2016 U.S. Environmental Protection Agency health advisory of 70 nanograms per liter (ng/L) perfluorooctanoic acid plus perfluorooctane sulfonic acid. Twenty-two sites were resampled and showed similar signatures, excluding some springs. Total PFAS concentrations ranged from 0.91 to 80.3 ng/L. The most frequently detected PFAS at groundwater sites were perfluorobutanesulfonic acid (PFBS; 11 sites), perfluoropentanoic acid (10 sites), and perfluorohexanoic acid (9 sites). Correlations were found between certain PFAS compounds that suggest similar sources. PFAS were also correlated with tritium, DOC, and nitrate, which indicated that a presence of anthropogenic compounds could in turn indicate a likelihood of PFAS occurrence. In addition, a cluster analysis showed that varying geochemical processes and sources of anthropogenic compounds likely contribute to the PFAS signature of each groundwater sample.

Surface-water samples showed variable total PFAS concentrations ranging from 1.0 to 155.4 ng/L. Sites downstream from urban areas showed numerous PFAS detections. Some undeveloped areas where minimal PFAS detections would be expected had PFAS detections. Correlations between PFAS were found that suggested similar sources. Perfluoropentanoic acid and PFBS were the most frequently detected PFAS, and PFBS had the highest single concentration of 93 ng/L.

Results of the study provide an overview of PFAS occurrences in the water resources of New Mexico along with geochemical context and are used to identify areas for further scientific investigations that could further characterize PFAS occurrences in New Mexico.

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chemistry data for samples collected by the U.S. Geological Survey from across New Mexico during 2020–21."},{"id":426372,"rank":7,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/sir/2023/5129/sir20235129_table01.02.csv","text":"Appendix Table 1.2","linkFileType":{"id":7,"text":"csv"},"description":"Table 01.02 csv","linkHelpText":"—Groundwater quality control chemistry data for samples collected by the U.S. Geological Survey from across New Mexico during 2020–21."},{"id":426366,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5129/images"},{"id":426375,"rank":10,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/sir/2023/5129/sir20235129_table01.01.xlsx","text":"Appendix Table 1.1","linkFileType":{"id":3,"text":"xlsx"},"description":"Table 01.01 xlxs","linkHelpText":"—Groundwater chemistry data for samples collected by the U.S. Geological Survey from across New Mexico during 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Mexico\",\"nation\":\"USA \"}}]}","edition":"Version 1.0: January 2024; Version 1.1: March 2024; Version 1.2: April 2024","contact":"

Director, New Mexico Water Science Center
U.S. Geological Survey 
6700 Edith Blvd. NE
Albuquerque, NM 87113 

Contact Pubs Warehouse
","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2024-01-18","revisedDate":"2024-04-17","noUsgsAuthors":false,"publicationDate":"2024-01-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Travis, Rebecca E. 0000-0001-8601-7791 rtravis@usgs.gov","orcid":"https://orcid.org/0000-0001-8601-7791","contributorId":5562,"corporation":false,"usgs":true,"family":"Travis","given":"Rebecca E.","email":"rtravis@usgs.gov","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":892707,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beisner, Kimberly R. 0000-0002-2077-6899 kbeisner@usgs.gov","orcid":"https://orcid.org/0000-0002-2077-6899","contributorId":2733,"corporation":false,"usgs":true,"family":"Beisner","given":"Kimberly","email":"kbeisner@usgs.gov","middleInitial":"R.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":892708,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilkins, Kate 0000-0002-8096-0153 klwilkins@usgs.gov","orcid":"https://orcid.org/0000-0002-8096-0153","contributorId":264928,"corporation":false,"usgs":true,"family":"Wilkins","given":"Kate","email":"klwilkins@usgs.gov","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":892709,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jasmann, Jeramy Roland 0000-0002-5251-6987","orcid":"https://orcid.org/0000-0002-5251-6987","contributorId":238713,"corporation":false,"usgs":true,"family":"Jasmann","given":"Jeramy","email":"","middleInitial":"Roland","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":892710,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Keefe, Steffanie H. 0000-0002-3805-6101 shkeefe@usgs.gov","orcid":"https://orcid.org/0000-0002-3805-6101","contributorId":2843,"corporation":false,"usgs":true,"family":"Keefe","given":"Steffanie","email":"shkeefe@usgs.gov","middleInitial":"H.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":892711,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Barber, Larry B. 0000-0002-0561-0831 lbbarber@usgs.gov","orcid":"https://orcid.org/0000-0002-0561-0831","contributorId":921,"corporation":false,"usgs":true,"family":"Barber","given":"Larry","email":"lbbarber@usgs.gov","middleInitial":"B.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":892712,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70250990,"text":"sir20235136 - 2024 - Water-quality characteristics of the Red River of the North and tributaries in the Fargo-Moorhead metropolitan area, North Dakota, 2019–22","interactions":[],"lastModifiedDate":"2026-01-30T19:38:43.784816","indexId":"sir20235136","displayToPublicDate":"2024-01-18T12:26:31","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":"2023-5136","displayTitle":"Water-Quality Characteristics of the Red River of the North and Tributaries in the Fargo-Moorhead Metropolitan Area, North Dakota, 2019–22","title":"Water-quality characteristics of the Red River of the North and tributaries in the Fargo-Moorhead metropolitan area, North Dakota, 2019–22","docAbstract":"

The Flood Risk Management Project was initiated in 2008 in the Fargo-Moorhead metropolitan area to reduce flood risk, flood damages, and flood protection costs in the Fargo-Moorhead metropolitan area. In cooperation with the U.S. Army Corps of Engineers, the U.S. Geological Survey initiated a water-quality monitoring study to describe the water-quality characteristics of the Red River of the North and its tributaries in the Fargo-Moorhead metropolitan area during the preconstruction period of the Flood Risk Management Project from October 1, 2019, to October 1, 2022. The monitoring study included the collection of discrete and continuous water-quality data and streamflow monitoring at selected sites that integrated and enhanced existing monitoring programs within the study area.

Discrete samples collected at 10 sites in the Fargo-Moorhead metropolitan area were analyzed for major ions, trace elements, nutrients, suspended sediment, pesticides, and fecal indicator bacteria. In general, major ion concentrations were higher at sites on the tributaries (Wild Rice, Sheyenne, and Maple Rivers) compared to sites on the Red River of the North. In general, bicarbonate, calcium, magnesium, and sulfate represented most of the dissolved ions measured in samples collected at the 10 sites. Calcium, chloride, fluoride, potassium, silica, and sodium were also measured in samples, but they represented a smaller portion of the total dissolved ions. Sulfate was the most dominant dissolved ion that had the highest concentrations among the major ions measured in samples.

A total of 18 trace elements were analyzed in discrete samples. Several of the trace elements had concentrations below the laboratory reporting level in all of the samples, including antimony, beryllium, cadmium, chromium, silver, and thallium. Sites on the Wild Rice River generally had the highest concentrations of arsenic, barium, boron, manganese, and nickel compared to the other sites.

Nutrients analyzed in discrete samples included filtered and unfiltered concentrations of ammonia, nitrate plus nitrite, phosphorus, and organic carbon. The median filtered ammonia concentration at most sites was less than the laboratory reporting level of 0.03 milligram per liter as nitrogen except for the Sheyenne River at Harwood, North Dakota (U.S. Geological Survey [USGS] station 05060400), and Red River of the North near Georgetown, Minnesota (USGS station 05062130). The lowest median unfiltered nitrate plus nitrite concentration was measured at sites on the Red River of the North upstream from the Fargo-Moorhead metropolitan area and the highest median was at sites on the Red River of the North downstream from the Fargo-Moorhead metropolitan area compared to all other sites. The increase in nitrate plus nitrite concentrations could reflect the effect of the wastewater-treatment plant discharge that enters the Red River of the North upstream from the site located downstream from the Fargo-Moorhead metropolitan area and from urban runoff. Phosphorus (unfiltered) concentrations were generally higher at sites on the Maple and Sheyenne Rivers compared to the other sites and were higher at sites on the Red River of the North downstream from the Fargo-Moorhead metropolitan area compared to sites upstream on the Red River of the North.

Suspended-sediment concentrations were generally highest at sites in the Sheyenne River and lowest in the upstream Red River of the North sites. Suspended-sediment concentration was highly variable in samples collected at the 10 sites, mostly influenced by the occurrence of snowmelt and rainfall-runoff events. The Sheyenne River near Kindred, N. Dak. (USGS station 05059000) had the largest range in sediment concentrations in samples collected at the 10 sites. For all sites other than the Sheyenne River near Kindred, N. Dak., 95 percent or more of the suspended sediment had particle diameter sizes less than 0.0625 millimeter in 50 percent of the samples (median).

Of the 102 pesticides and pesticide degradates analyzed, 45 constituents had no detectable concentrations in any of the 17 samples collected at five sites. The remaining 57 pesticides had at least one detection in the samples collected at the five sites. The sites on the Wild Rice River (near Abercrombie, N. Dak., USGS station 05053000, and near St. Benedict, N. Dak., USGS station 05053500) and Sheyenne River near Kindred, N. Dak., had fewer pesticide detections compared to the Maple River below Mapleton, N.Dak. (USGS station 05060100) and the Red River of the North at Fargo, N. Dak (USGS station 05054000) and near Georgetown, Minn.

Patterns in annual loads generally followed the same pattern as streamflow at the 10 sites for water years 2020–22. A water year is the 12-month period from October 1 to September 30 and is designated by the calendar year in which it ends. The greatest loads for all constituents were delivered at the two downstream sites on the Red River of the North; sites that also had the highest annual streamflows among the sites and the greatest loads were delivered in water year 2020 when the highest streamflows occurred at the sites. Likewise, the least loads for most constituents were at the Maple River and were least in 2021 compared to the other years because of low-streamflow conditions.

Water-quality measurements continuously recorded at the Red River of the North at Hickson, N. Dak. (USGS station 05051522); Red River of the North at Fargo, N. Dak.; and Red River of the North near Georgetown, Minn. included water temperature, specific conductance, dissolved oxygen, pH, and turbidity. Specific conductance values were similar for the Red River of the North near Hickson, N. Dak., and Red River of the North at Fargo, N. Dak., when compared to the Red River of the North near Georgetown, Minn. that had higher values than the other two sites. Dissolved oxygen concentrations and pH were similar among the three sites on the Red River. The patterns in turbidity were mostly related to streamflow conditions and were similar among the three sites on the Red River of the North.

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Director, Dakota Water Science Center
U.S. Geological Survey
821 East Interstate Avenue, Bismarck, ND 58503
1608 Mountain View Road, Rapid City, SD 57702

Contact Pubs Warehouse

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The Earth surface Mineral dust source InvesTigation (EMIT) is a remote visible to shortwave infrared (VSWIR) imaging spectrometer that has been operating onboard the International Space Station since July 2022. This article describes EMIT's on-orbit spectroradiometric calibration and validation. Accurate spectroscopy is vital to achieve consistent mapping results with orbital imaging spectrometers. EMIT takes a unique approach to this challenge, with just six optical elements, no shutter, and no onboard calibration systems. Its simple design focuses on uniformity and stability to enable vicarious spectroradiometric calibration. Our experiments demonstrate that this approach is successful, approaching the fidelity of manual field spectroscopy in some cases, and enabling new and more accurate products across diverse Earth science disciplines. EMIT achieves several notable firsts for an instrument of its class. It demonstrates successful on-orbit adjustments of Focal Plane Array (FPA) alignment with sub-micron precision. It offers spectral uniformity better than 98%. Optical artifacts in the measurement channels are at least three orders of magnitude below the primary solar-reflected surface signals. Its noise performance enables percent-level discrimination in the depths of mineral absorption features. In these aspects, EMIT satisfies the stringent performance needs for the next generation of VSWIR imaging spectrometers to observe the Earth's ecosystems, geology, and water resources.

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2024 - Intrinsic and extrinsic regulation of water clarity in a large, floodplain-river ecosystem","interactions":[],"lastModifiedDate":"2024-04-23T15:15:32.981503","indexId":"70251364","displayToPublicDate":"2024-01-18T06:37:44","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Intrinsic and extrinsic regulation of water clarity in a large, floodplain-river ecosystem","docAbstract":"

Ecosystem processes in rivers are thought to be controlled more by extrinsic than intrinsic factors, that is, the result of processes that occur upstream or within their watersheds. However, large floodplain rivers have a diverse assemblage of aquatic areas spanning gradients of connectivity with the main channel and internal controls may at times regulate long-term dynamics. When and where internal controls are important has not been widely explored in rivers. The Upper Mississippi River System (UMRS) provides a unique opportunity to assess regulation of ecosystem processes in a large floodplain river as water clarity has increased in several reaches over the last two decades. To better understand when and where intrinsic variables (for example, aquatic vegetation and common carp) and extrinsic variables (for example, upstream main channel total suspended solids (TSS) concentration and discharge) regulate water clarity, we describe 24-year trends of TSS in six study reaches of the UMRS. We evaluated the degree to which trends were shared across aquatic areas within each study reach and identified potential drivers of long-term TSS dynamics. Results varied across and within UMRS reaches, but common carp abundance was the strongest predictor in nearly all study reaches. Several models indicated associations with both intrinsic and extrinsic factors, and the marginal model r2 values (0.26–0.61) suggest that additional environmental factors may have influenced water clarity. Knowledge of the degree to which intrinsic and extrinsic processes regulate water clarity is important for understanding and managing large, floodplain rivers worldwide.

","language":"English","publisher":"Springer Nature","doi":"10.1007/s10021-023-00895-5","usgsCitation":"Carhart, A., Drake, D.C., Fischer, J.R., Houser, J.N., Jankowski, K.J., Kalas, J.E., and Lund, E.M., 2024, Intrinsic and extrinsic regulation of water clarity in a large, floodplain-river ecosystem: Ecosystems, v. 27, p. 395-413, https://doi.org/10.1007/s10021-023-00895-5.","productDescription":"19 p.","startPage":"395","endPage":"413","ipdsId":"IP-154464","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":425462,"rank":1,"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 -92.4556475999726,\n 44.11793587169143\n ],\n [\n -92.4556475999726,\n 39.2309522838064\n ],\n [\n -89.46736634997285,\n 39.2309522838064\n ],\n [\n -89.46736634997285,\n 44.11793587169143\n ],\n [\n -92.4556475999726,\n 44.11793587169143\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"27","noUsgsAuthors":false,"publicationDate":"2024-01-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Carhart, Alicia 0000-0002-9977-8124","orcid":"https://orcid.org/0000-0002-9977-8124","contributorId":223884,"corporation":false,"usgs":false,"family":"Carhart","given":"Alicia","email":"","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":894275,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Drake, Deanne C.","contributorId":207846,"corporation":false,"usgs":false,"family":"Drake","given":"Deanne","email":"","middleInitial":"C.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":894276,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fischer, James R.","contributorId":333909,"corporation":false,"usgs":false,"family":"Fischer","given":"James","email":"","middleInitial":"R.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":894277,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Houser, Jeffrey N. 0000-0003-3295-3132 jhouser@usgs.gov","orcid":"https://orcid.org/0000-0003-3295-3132","contributorId":2769,"corporation":false,"usgs":true,"family":"Houser","given":"Jeffrey","email":"jhouser@usgs.gov","middleInitial":"N.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":894278,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jankowski, Kathi Jo 0000-0002-3292-4182","orcid":"https://orcid.org/0000-0002-3292-4182","contributorId":207429,"corporation":false,"usgs":true,"family":"Jankowski","given":"Kathi","email":"","middleInitial":"Jo","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":894279,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kalas, John E.","contributorId":333910,"corporation":false,"usgs":false,"family":"Kalas","given":"John","email":"","middleInitial":"E.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":894280,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lund, Eric M.","contributorId":291763,"corporation":false,"usgs":false,"family":"Lund","given":"Eric","email":"","middleInitial":"M.","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":894281,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70250914,"text":"sir20235126 - 2024 - Flood of October 31 to November 3, 2019, in the East Canada Creek, West Canada Creek, and Sacandaga River basins in central New York","interactions":[],"lastModifiedDate":"2026-01-30T19:22:05.254094","indexId":"sir20235126","displayToPublicDate":"2024-01-17T07:10:00","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":"2023-5126","displayTitle":"Flood of October 31 to November 3, 2019, in the East Canada Creek, West Canada Creek, and Sacandaga River Basins in Central New York","title":"Flood of October 31 to November 3, 2019, in the East Canada Creek, West Canada Creek, and Sacandaga River basins in central New York","docAbstract":"

Between October 31 and November 3, 2019, historic flooding in localized areas of the Mohawk Valley and southern Adirondack region in central New York State resulted in one fatality and an estimated $33 million in damages. Flooding resulted from high-intensity, hyperlocal rainfall in the region within a 24-hour period between October 31 and November 1, 2019, at the end of a much wetter than average October. In that 24-hour period, rainfall amounts largely ranged from 2 to 5 inches in the most heavily affected parts of the region, but a maximum rainfall amount for the region of 7 inches was recorded in Speculator, New York. This rainfall total for a 24-hour period for this location is estimated to have between a 200- and 500-year recurrence interval. The most severe flooding to result from the rainfall was mainly in the Sacandaga River basin, which is within the upper Hudson River basin, and in the East and West Canada Creek basins, which are within the Mohawk River basin.

Streamflow, stage, and reservoir elevation data, collected by the U.S. Geological Survey, are documented in this report. Flooding resulted in new peak streamflow records at five of six U.S. Geological Survey streamgages in the region that have periods of record of at least 20 years, including at three streamgages that have been in operation for about 100 years. At the sixth streamgage, this flooding resulted in the second highest peak streamflow in its 71-year period of record. For all six streamgages, estimates of flood magnitudes for selected annual exceedance probabilities were updated using the peak streamflows from the flooding. Additionally, the annual exceedance probabilities for the six respective peak streamflows were all estimated to be less than 1 percent (greater than a 100-year recurrence interval). At three of those six streamgages, however, previous annual peak streamflows of comparable magnitudes (within 10 percent) have also happened within the past 20 years.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235126","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Graziano, A.P., Gazoorian, C.L., Smith, T.L., and Lilienthal, A.G., III, 2024, Flood of October 31 to November 3, 2019, in the East Canada Creek, West Canada Creek, and Sacandaga River basins in central New York: U.S. Geological Survey Scientific Investigations Report 2023–5126, 37 p., https://doi.org/10.3133/sir20235126.","productDescription":"Report: vii, 37 p.; Data Release","numberOfPages":"37","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-129517","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":499390,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115944.htm","linkFileType":{"id":5,"text":"html"}},{"id":424346,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9SCOJ7M","text":"USGS data release","linkHelpText":"Flood-frequency data for six selected streamgages following the central New York flood of October 31–November 3, 2019"},{"id":424342,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5126/sir20235126.pdf","text":"Report","size":"10.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5126"},{"id":424341,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5126/coverthb.jpg"},{"id":424345,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5126/images/"},{"id":424344,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5126/sir20235126.XML"},{"id":424343,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235126/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2023-5126"}],"country":"United States","state":"New York","otherGeospatial":"East Canada Creek basin, West Canada Creek basin, Sacandaga River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.89510221171278,\n 42.85733224203008\n ],\n [\n -73.69783658671246,\n 42.85733224203008\n ],\n [\n -73.69783658671246,\n 44.15608967292573\n ],\n [\n -75.89510221171278,\n 44.15608967292573\n ],\n [\n -75.89510221171278,\n 42.85733224203008\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180–8349

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2024-01-17","noUsgsAuthors":false,"publicationDate":"2024-01-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Graziano, Alexander P. 0000-0003-1978-0986","orcid":"https://orcid.org/0000-0003-1978-0986","contributorId":211607,"corporation":false,"usgs":true,"family":"Graziano","given":"Alexander","email":"","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":892053,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gazoorian, Christopher L. 0000-0002-5408-6212 cgazoori@usgs.gov","orcid":"https://orcid.org/0000-0002-5408-6212","contributorId":2929,"corporation":false,"usgs":true,"family":"Gazoorian","given":"Christopher","email":"cgazoori@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":892054,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Travis L. 0000-0002-3448-2787 tlsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-3448-2787","contributorId":297400,"corporation":false,"usgs":true,"family":"Smith","given":"Travis","email":"tlsmith@usgs.gov","middleInitial":"L.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":892055,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lilienthal, Arthur G. III 0000-0002-2906-6375","orcid":"https://orcid.org/0000-0002-2906-6375","contributorId":211366,"corporation":false,"usgs":true,"family":"Lilienthal","given":"Arthur","suffix":"III","email":"","middleInitial":"G.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":892056,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70250915,"text":"ofr20231095 - 2024 - A machine learning tool for design of behavioral fish barriers in the Sacramento-San Joaquin River Delta","interactions":[],"lastModifiedDate":"2024-12-03T19:40:06.138265","indexId":"ofr20231095","displayToPublicDate":"2024-01-16T13:57:36","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":"2023-1095","displayTitle":"A Machine Learning Tool for Design of Behavioral Fish Barriers in the Sacramento-San Joaquin River Delta","title":"A machine learning tool for design of behavioral fish barriers in the Sacramento-San Joaquin River Delta","docAbstract":"

Executive Summary

Survival of out-migrating juvenile salmonids (Oncorhynchus spp.) through the Sacramento-San Joaquin River Delta averages less than 33 percent, depending on water flow through the delta, and is partially governed by the distribution of fish among three Sacramento River distributaries: Sutter, Steamboat, and Georgiana sloughs. Behavioral altering structures in the junctions of the distributaries can effectively increase entrainment into favorable routes, thereby increasing through-delta (Verona to Chips Island, California) survival. The effectiveness of these structures, hence forth called “behavioral barriers,” are dependent on shape, length, location, barrier type, and water velocity, which is governed by Sacramento River discharge (hereinafter referred to as “flow”).

We developed a machine learning tool to optimize behavioral barrier designs at up to three junctions within the Sacramento-San Joaquin Delta for improving through-delta survival of juvenile winter-run Chinook salmon (Oncorhynchus tshawytscha). This barrier optimization tool (BOT) works by evolving barrier solutions in one to three junctions by repeatedly simulating survival of populations of Sacramento River origin fish as they pass through the Delta. Over approximately 6,000 simulations per junction, the BOT converges on barrier designs that result in the greatest average survival given simulated environmental conditions. Survival at each iteration of the model is simulated using a modified version of the salmon travel time and routing simulation (STARS) model. In the BOT, STARS is modified by replacing probabilistic route determinations with an individual based model (IBM) that simulates fish behavior to predict the entrainment rates in each junction. The IBM allows the flexibility to explore how entrainment changes with evolving barrier designs. We used juvenile winter-run-sized Chinook salmon catch data collected at Knights Landing from 1997 to 2011 to create realistic arrival and spatial distributions of simulated fish within the BOT that varied among water years (hereafter years). We demonstrated the capabilities of the BOT by comparing optimized barrier solutions and their resulting simulated improvement in survival among three scenarios that differed in the number of junctions with barriers (Georgiana Slough, Steamboat Slough, or both) and the barrier operational period (early: November 1–March 15, or late: January 1–April 30). In this initial demonstration of the BOT we only considered a bioacoustic fish fence (BAFF) at Georgiana Slough and a floating fish guidance structure (FFGS) at Steamboat Slough.

The increase in simulated through-delta fish survival ranged from 1.0 to 6.3 percent among the optimized barrier designs. The most effective Georgiana Slough barrier design predicted improved survival by 6.3 percent and was chosen by the California Department of Water Resources (DWR) as the Georgiana Slough salmon migratory barrier planned for operation annually from 2023 to 2030 at Georgiana Slough in response to the 2020 California Department of Fish and Wildlife’s (CDFW) Incidental Take Permit Minimization Measure 8.9.1 (California Department of Fish and Wildlife [CDFW], 2020). When barriers were simulated in both junctions, the percentages of simulated winter-run Chinook salmon interacting with a barrier at Steamboat or Georgiana sloughs were 95 percent given the early operational period and 48 percent given the late operational period. When barriers were simulated at both sloughs, the optimal barrier at Steamboat Slough effectively routed fish into the Sacramento River. This is because the Georgiana Slough barrier reduced routing into Georgiana Slough where survival is low, which resulted in higher survival for fish routed down the Sacramento River at Steamboat Slough than fish routed down Steamboat Slough. Whereas when no barrier was simulated at Georgiana Slough, the optimized barrier at Steamboat Slough routed fish into Steamboat Slough. This is because survival was higher through Steamboat Slough than the Sacramento River and Georgiana Slough combined. The greatest improvement in survival (6.3 percent) was predicted over the earlier operational period with only a barrier at Georgiana Slough.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231095","collaboration":"Prepared in cooperation with the California Department of Water Resources","usgsCitation":"Swyers, N.M., Blake, A., Stumpner, P., Burau, J.R., Burdick, S.M., and Anwar, M.S., 2024, A machine learning tool for design of behavioral fish barriers in the Sacramento-San Joaquin River Delta: U.S. Geological Survey Open-File Report 2023–1095, 38 p., https://doi.org/10.3133/ofr20231095.","productDescription":"ix, 38 p.","onlineOnly":"Y","ipdsId":"IP-151594","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":424660,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20231095/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2023-1095"},{"id":424362,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2023/1095/images"},{"id":424363,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2023/1095/ofr20231095.XML"},{"id":424359,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1095/ofr20231095.jpg"},{"id":424360,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1095/ofr20231095.pdf","text":"Report","size":"9.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2023-1095"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin River Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.4,\n 38.5\n ],\n [\n -122.4,\n 38.0\n ],\n [\n -121.8,\n 38.0\n ],\n [\n -121.8,\n 38.5\n ],\n [\n -122.4,\n 38.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, Western Fisheries Research Center
U.S. Geological Survey
6505 NE 65th Street
Seattle, Washington 98115-5016

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Executive Summary

The Bureau of Reclamation (Reclamation) operates the Central Valley Project (CVP), one of the nation’s largest water projects. Reclamation has an ongoing need to improve the scientific basis for adaptive management of the CVP and, by extension, joint operations with California’s State Water Project. The U.S. Geological Survey (USGS) works cooperatively with the Bureau of Reclamation to provide scientific support for the management of Reclamation’s CVP project. Major habitat restoration efforts and a new water-diversion point are planned to benefit delta smelt (Hypomesus transpacificus) and other species of concern while ensuring the reliability of water supply. In addition, various flow actions and management activities have been identified as possible methods to increase populations of delta smelt and salmonid (Oncorhynchus spp.) runs of concern. The overarching goal of this cooperative project was to provide Reclamation with the scientific information needed to evaluate the efficacy of ongoing and future adaptive management actions and to improve the scientific basis for more flexible CVP operations that would achieve water-supply reliability and fish protection. The research and monitoring described in this report comprises the period 2015–19 and focuses on management issues related to native fish species of concern, especially delta smelt. Conserving the delta smelt population while providing a reliable water supply is a primary management and policy issue in California.

Our approach for this cooperative project is based on the “physics to fish” concept, the idea that high-quality habitat is generated and sustained by the interaction between physical processes and the landscape. These interactions create a template for chemical and biological processes that can change across a variety of spatial and temporal scales. Following this concept, this project (hereafter referred to as “the physics to fish project”) included monitoring and studies of water flows, sediments, water quality, and invertebrate and fish dynamics across a range of spatial and temporal scales and in regions relevant to resource managers tasked with managing water supplies and ecosystem health in the San Francisco Estuary. The intent of this approach was to document the habitat conditions, important processes, and interactions among them that create high-quality habitat for native fishes so that the likely effects of future management actions (for example, habitat restoration) can be objectively assessed at the local (site-specific), regional (within subregions of the estuary), and landscape (across the entire estuary and beyond) scales.

Hydrodynamically, the upper estuary (landward of Carquinez Strait) is characterized by a fixed volume of tidally exchanged water (for example, tidal prism) that interacts with the existing channel network and bathymetry to create regions with differing hydrodynamics. Our results indicate that careful study of construction or reoperation of existing infrastructure to perform management actions can help (1) improve the accuracy of hydrodynamic models; (2) further understanding of ecological effects; and (3) enhance abilities to predict ecological outcomes. At the local scale, we developed a new concept called the Lagrangian to Eulerian (LE) ratio that can be used as a tool for understanding the importance of various hydrodynamic processes in specific channels or channel networks and for forecasting transport dynamics. Channels with LE ratios<1 in a channel network or in a dead-end slough are hydrodynamically able to develop an exchange zone between two parcels of water that may have different chemical and physical properties. In a dead-end channel, there is a landward region with long residence time (no-exchange zone) and a seaward region with short residence time (high-exchange zone) that are well mixed with seaward waters. At the transition (exchange zone) between the high and no-exchange regions, a gradient will form in water-quality constituents that differ in concentration between the landward and seaward waters.

Turbidity affects fish habitat and has declined through time in the San Francisco Estuary. Average turbidity across the Sacramento–San Joaquin Delta (hereafter referred to as “the Delta”) is dependent on annual hydrology. In dry years, the region around Cache Slough (known regionally as the “Cache Slough Complex”) in the northern Delta is generally more turbid than Suisun Bay and the lower Sacramento River. When the Yolo By-Pass (known regionally as “Yolo Bypass”), a large flood bypass that runs parallel to the Sacramento River in the northern Delta, is not flooding and river flows are lower, sediment is usually transported into the Cache Slough Complex because flood tides dominate ebb tides, resulting in transport of suspended sediment from seaward areas of the upper estuary into the Cache Slough Complex. These hydrodynamic conditions also favor the formation of turbidity maximums (TMs) in the Cache Slough Complex. The TMs are areas of higher suspended-sediment concentration, providing higher-turbidity habitat favored by some fishes, including delta smelt, and they can also concentrate other constituents, including phytoplankton and organic carbon that can be important in food webs.

Pelagic primary production by phytoplankton is the basis for Delta food webs supporting pelagic fishes such as delta smelt; however, phytoplankton abundance in the Delta has declined during recent decades. We examined how nutrients, hydrodynamics, and other factors affect phytoplankton blooms. Based on our results, we developed three new concepts of phytoplankton bloom formation in the Delta, each associated with a distinct set of hydrologic conditions. First, productivity cascades highlighted how local processes can contribute to phytoplankton blooms observed at the regional scale. Second, we observed phytoplankton blooms in the upper San Francisco Estuary that were associated with transport out of Yolo By-Pass (transport blooms). Third, we also documented a series of phytoplankton blooms that were in the confluence area at the landward edge of Suisun Bay. The conditions leading to creation of confluence phytoplankton blooms are not yet understood, but the confluence region connects the Cache Slough Complex with Suisun Marsh. Therefore, blooms in this area have the potential to spread to large areas of the Delta.

At the landscape scale, the distribution of the invasive clams (Potamocorbula amurensis and Corbicula fluminea, hereafter referred to as “Corbicula”) is driven by salinity. At smaller spatial scales, the distribution of either species is sensitive to multiple factors affecting survival and reproduction, complicating efforts to predict distribution and abundance without considering local-scale conditions across the area of interest. In the Cache Slough Complex, the area landward of the exchange zone in regions with LE ratio<1 were characterized by low abundances of Corbicula probably because recruits from seaward areas are not transported past the exchange zone and because there are no landward tributaries with adult Corbicula to provide an upstream source of recruits. Corbicula biomass was highest near or downstream from the exchange zone consistent with Corbicula grazing on phytoplankton produced in the exchange zone or transported from the no-exchange zone. The severity of Corbicula grazing could be reduced by manipulating the hydrodynamic characteristics of waterways; however, the beneficial and harmful effects on the organisms meant to benefit from increased phytoplankton production, including zooplankton and fish species of concern, should be thoroughly examined before manipulating hydrodynamic characteristics.

The distribution of fishes at the landscape scale is generally driven by the position of the salinity field in the estuary. The physics to fish project compared distributions of fishes at Ryer Island, a tidal wetland in Suisun Bay and a region of variable salinity, with fish distributions at the Cache Slough Complex, a freshwater region. At Ryer Island, there was an absence of freshwater invasive species and an abundance of native species, such as Sacramento splittail (Pogonichthys macrolepidotus), tule perch (Hysterocarpus traskii), and Sacramento pikeminnow (Ptychocheilus grandis). The native species were almost exclusively captured in wetland and nearshore shallow-water habitat regardless of water-quality conditions. In the Cache Slough Complex, our regional scale objective was to elucidate how hydrodynamic-physical habitat interactions drive fish-community structure. Our studies showed that dendritic channel systems were better able to support native species, while intertidal habitats supported those species best able to exploit the transient character of the habitat. Habitats upstream from the exchange zone were especially important in supporting high numbers of native fishes relative to within or downstream from the exchange zone. Many of the native species were associated with tidal marsh in the no-exchange zone. More pelagic-oriented, mobile species, such as Striped Bass (Morone saxatilis), threadfin shad (Dorosoma petenense), and Sacramento pikeminnow, were more affected by water-quality conditions, such as turbidity.

The physics to fish concept developed in this project provides a framework for designing individual projects and for considering the cumulative effects of multiple projects in a region, using the LE ratio as a guiding metric. The physics to fish concept may also provide a suitable framework for coordinating management actions. Tidal wetlands can function in several ways in the hydrodynamic framework. Relatively small tidal wetlands with short channel networks and with LE ratios>1 are not able to maintain a landward no-exchange zone or an exchange zone. This likely means that any contributions to pelagic food webs would be limited to resources derived from wetland vegetation, which can include dissolved and particulate organic matter (detritus) and populations of consumers that can increase in abundance based on those resources. The fate of the contributed production from these channels depends on the characteristics of the receiving waters seaward of the tidal wetland. If these channels join a large system such as Suisun Bay, then any contribution is likely to be rapidly dispersed in the larger volume; however, the channel junction might provide a focal point for consumers, such as fishes, to congregate and feed on material leaving the wetland on ebb tides before it is dispersed in the larger volume. Fishes might also access these resources by entering the wetland.

The physics to fish project has established a foundation and several new concepts for understanding how habitat restoration can benefit native fish populations at the local and regional levels. Many of the ideas regarding habitat restoration and channel modifications outlined in this report could help guide management actions that could improve conditions for native fishes at little or no water cost beyond water already dedicated to other management actions. A complete list of products originating from this work is provided in appendix 1.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231087","collaboration":"Prepared in cooperation with the Bureau of Reclamation","programNote":"Water Availability and Use Science Program","usgsCitation":"Brown, L.R., Ayers, D.E., Bergamaschi, B., Burau, J.R., Dailey, E.T., Downing, B., Downing-Kunz, M., Feyrer, F.V., Huntsman, B.M., Kraus, T., Morgan, T., Lacy, J.R., Parchaso, F., Ruhl, C.A., Stumpner, E., Stumpner, P., Thompson, J., and Young, M.J., 2024, Physics to fish—Understanding the factors that create and sustain native fish habitat in the San Francisco Estuary: U.S. Geological Survey Open-File Report 2023–1087, 150 p., https://doi.org/10.3133/ofr20231087.","productDescription":"xiv, 150 p.","numberOfPages":"150","onlineOnly":"Y","ipdsId":"IP-117031","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":499195,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115941.htm","linkFileType":{"id":5,"text":"html"}},{"id":424433,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2023/1087/ofr20231087.xml"},{"id":424432,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1087/ofr20231087.pdf","text":"Report","size":"40 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":424431,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1087/covrthb.jpg"},{"id":424434,"rank":4,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20231087/full"},{"id":424435,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2023/1087/images"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Estuary","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.24215111193803,\n 38.050843566230355\n ],\n [\n -122.16421759414595,\n 38.01748278998312\n ],\n [\n -122.05748255890899,\n 38.029494419842194\n ],\n [\n -121.8829792473305,\n 38.02282153523592\n ],\n [\n -121.79488048808702,\n 38.00947394286857\n ],\n [\n -121.63393083177675,\n 37.77148277334254\n ],\n [\n -121.54921998272637,\n 37.596454712018335\n ],\n [\n -121.20021285594603,\n 37.58778236337899\n ],\n [\n -121.14091561414786,\n 37.619995940468854\n ],\n [\n -121.23579120102502,\n 37.827705761824106\n ],\n [\n -121.31203051190909,\n 37.956059539803434\n ],\n [\n -121.3035594291396,\n 38.16548812176558\n ],\n [\n -121.37302191238913,\n 38.51099377471624\n ],\n [\n -121.5271947410649,\n 38.51497075813927\n ],\n [\n -121.70253648740135,\n 38.53378691521087\n ],\n [\n -121.75591267371628,\n 38.311864662587084\n ],\n [\n -121.77454894970978,\n 38.13351227227636\n ],\n [\n -121.89992026094106,\n 38.24802750266139\n ],\n [\n -122.04562205507428,\n 38.2653222757001\n ],\n [\n -122.17437842723578,\n 38.19478754877218\n ],\n [\n -122.24215111193803,\n 38.050843566230355\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

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Shorelines from the original assessment (1800s through 1998 or 2002), as well as additional shoreline position data from 2009 to 2011, 2015, and 2016 extracted from light detection and ranging (lidar) data, were used to compute long-term rates (approximately 150 years) that incorporate the proxy-datum bias on a transect-by-transect basis. The proxy-datum bias accounts for the unidirectional onshore bias of proxy-based high water line shorelines relative to datum-based mean high water shorelines. In areas where the methods for delineating shorelines did not make it possible to compute a bias correction, the rates are reported without that correction. In this study, the coasts of northern and central California exhibited the highest average rates of erosion, whereas southern California exhibited the highest average rate of accretion. The maximum erosion rate was in San Mateo County in central California. The maximum rate of accretion was in Humboldt County in northern California. Rates were calculated at 19,063 transect locations. Shoreline positions from the mid-1800s through 2016 were used to update shoreline change rates in California using the Digital Shoreline Analysis System (DSAS) software.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1187","usgsCitation":"Kratzmann, M.G., 2024, National shoreline change—Summary statistics of shoreline change from the 1800s to the 2010s for the coast of California: U.S. Geological Survey Data Report 1187, 7 p., https://doi.org/10.3133/dr1187.","productDescription":"Report: iv, 7 p.; Data Release","numberOfPages":"7","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-135554","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":424186,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94J0K7Z","text":"USGS data release","linkHelpText":"National shoreline change—A GIS compilation of vector shorelines and 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\"}}]}","contact":"

Director, Woods Hole Coastal and Marine Science Center
U.S. Geological Survey
384 Woods Hole Road
Quissett Campus
Woods Hole, MA 02543-1598

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2024-01-16","noUsgsAuthors":false,"publicationDate":"2024-01-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Kratzmann, Meredith G. 0000-0002-2513-2144 mkratzmann@usgs.gov","orcid":"https://orcid.org/0000-0002-2513-2144","contributorId":4950,"corporation":false,"usgs":true,"family":"Kratzmann","given":"Meredith","email":"mkratzmann@usgs.gov","middleInitial":"G.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":891701,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70250972,"text":"70250972 - 2024 - National-scale remotely sensed lake trophic state from 1984 through 2020","interactions":[],"lastModifiedDate":"2024-05-16T15:36:46.875911","indexId":"70250972","displayToPublicDate":"2024-01-16T06:59:19","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3907,"text":"Scientific Data","active":true,"publicationSubtype":{"id":10}},"title":"National-scale remotely sensed lake trophic state from 1984 through 2020","docAbstract":"

Lake trophic state is a key ecosystem property that integrates a lake’s physical, chemical, and biological processes. Despite the importance of trophic state as a gauge of lake water quality, standardized and machine-readable observations are uncommon. Remote sensing presents an opportunity to detect and analyze lake trophic state with reproducible, robust methods across time and space. We used Landsat surface reflectance data to create the first compendium of annual lake trophic state for 55,662 lakes of at least 10 ha in area throughout the contiguous United States from 1984 through 2020. The dataset was constructed with FAIR data principles (Findable, Accessible, Interoperable, and Reproducible) in mind, where data are publicly available, relational keys from parent datasets are retained, and all data wrangling and modeling routines are scripted for future reuse. Together, this resource offers critical data to address basic and applied research questions about lake water quality at a suite of spatial and temporal scales.

","language":"English","publisher":"Nature","doi":"10.1038/s41597-024-02921-0","usgsCitation":"Meyer, M.F., Topp, S.N., King, T.V., Ladwig, R., Pilla, R.M., Dugan, H.A., Eggleston, J., Hampton, S.E., Leech, D.M., Oleksy, I., Ross, J.C., Ross, M.V., Woolway, R.I., Yang, X., Brousil, M.R., Fickas, K.C., Padowski, J.C., Pollard, A., Ren, J., and Zwart, J.A., 2024, National-scale remotely sensed lake trophic state from 1984 through 2020: Scientific Data, v. 11, 77, 20 p., https://doi.org/10.1038/s41597-024-02921-0.","productDescription":"77, 20 p.","ipdsId":"IP-149039","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":440696,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41597-024-02921-0","text":"Publisher Index Page"},{"id":424487,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","noUsgsAuthors":false,"publicationDate":"2024-01-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Meyer, Michael Frederick 0000-0002-8034-9434 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0002-8034-9434","contributorId":304191,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"Frederick","affiliations":[{"id":37786,"text":"WMA - 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