The lower 3.5 km of Eighteenmile Creek, a tributary to Lake Ontario in New York, was designated as an Area of Concern (AOC) in 1985 under the Great Lakes Water Quality Agreement due to extensive contamination of bed sediments by polychlorinated biphenyls (PCBs) and other toxicants. Five beneficial use impairments (BUIs) have been identified in this AOC, including degraded fish and wildlife populations. We surveyed fish communities in the Eighteenmile Creek AOC and in a comparable section of a nearby reference stream (Oak Orchard Creek) during June 2019 to infer whether legacy contaminants are currently impairing fish communities in the AOC to an extent that they differ from the regional reference condition. Estimates of community abundance, biomass, diversity, and fish condition from each system were compared using a noninferiority testing framework. Biomass, diversity, and fish condition in the Eighteenmile Creek AOC were similar or superior to that in Oak Orchard Creek, while abundance was 20% lower in the AOC. These findings and those of a 2007 sampling effort suggest that fish communities in the Eighteenmile Creek AOC are not impaired despite recent studies indicating that PCBs are bioaccumulating in fish tissues at 1–2 orders of magnitude above background levels. Future assessments in the Eighteenmile Creek AOC might focus on the condition of benthic macroinvertebrate communities and potential toxicity of local contaminants to piscivorous wildlife in order to fully address the remaining aspects of the fish and wildlife populations beneficial use impairment.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2020.10.003","usgsCitation":"George, S.D., Baldigo, B., Collins, S.F., Clarke, D., and Winterhalter, D., 2022, Condition of resident fish communities in the Eighteenmile Creek Area of Concern, New York: Journal of Great Lakes Research, v. 48, no. 2, p. 404-411, https://doi.org/10.1016/j.jglr.2020.10.003.","productDescription":"4 p.","startPage":"404","endPage":"411","ipdsId":"IP-114543","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":449869,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2020.10.003","text":"Publisher Index Page"},{"id":397394,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Eighteenmile Creek Area of Concern, Oak Orchard Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.75961303710938,\n 43.26120612479979\n ],\n [\n -78.6785888671875,\n 43.26120612479979\n ],\n [\n -78.6785888671875,\n 43.36612409315009\n ],\n [\n -78.75961303710938,\n 43.36612409315009\n ],\n [\n -78.75961303710938,\n 43.26120612479979\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.24359893798828,\n 43.326925957023846\n ],\n [\n -78.17493438720703,\n 43.326925957023846\n ],\n [\n -78.17493438720703,\n 43.37460952707158\n ],\n [\n -78.24359893798828,\n 43.37460952707158\n ],\n [\n -78.24359893798828,\n 43.326925957023846\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"48","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"George, Scott D. 0000-0002-8197-1866 sgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-8197-1866","contributorId":3014,"corporation":false,"usgs":true,"family":"George","given":"Scott","email":"sgeorge@usgs.gov","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":838542,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baldigo, Barry P. 0000-0002-9862-9119","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":25174,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":838543,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collins, Scott F.","contributorId":172292,"corporation":false,"usgs":false,"family":"Collins","given":"Scott","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":838544,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clarke, David","contributorId":289100,"corporation":false,"usgs":false,"family":"Clarke","given":"David","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":838545,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Winterhalter, Dylan R. 0000-0003-1774-8034","orcid":"https://orcid.org/0000-0003-1774-8034","contributorId":251765,"corporation":false,"usgs":true,"family":"Winterhalter","given":"Dylan R.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":838546,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70219050,"text":"70219050 - 2022 - Diversity of diatoms, benthic macroinvertebrates, and fish varies in response to different environmental correlates in Arctic rivers across North America","interactions":[],"lastModifiedDate":"2022-01-25T16:40:12.805959","indexId":"70219050","displayToPublicDate":"2020-08-13T08:18:12","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Diversity of diatoms, benthic macroinvertebrates, and fish varies in response to different environmental correlates in Arctic rivers across North America","docAbstract":"Diatom, pollen, silicoflagellate, and biogenic opal analyses from a 155 cm-long gravity core from Pioneer Seamount, offshore Santa Cruz, California (PS1410-06 GC, latitude 37.3°N, longitude 123.4°W, water depth 2165 m) are compiled for the last ~11,300 years and compared with those of ODP 1019 and TN062-O550 from northern California. The relative abundance record of the subtropical diatom Fragilariopsis doliolus has similar bimodal Holocene patterns in all three cores, suggesting that sea surface temperatures (SST) were lower during the middle part of the Holocene than they were during the later and earlier parts. The relative abundance of coastal redwood (Sequoia sempervirens) pollen, a proxy for fog and coastal upwelling, displays stepwise increases in ODP 1019 and TN062-O550 between ~ 4000 and 3000 cal yr. BP, but its relative abundance in PS1410-06 GC increases gradually throughout the past 10,200 yr without any major steps. Similarly, biogenic silica (opal) displays stepwise increases at ~3600 and 2900 cal yr. BP in ODP 1019 and TN062-O550, respectively, whereas opal increases more gradually in PS1410-06 GC during the past 10,100 yr with relatively minor steps at ~3100 and ~2600 cal yr. BP. Together, coastal redwood and opal argue for a more gradual late Holocene increase in coastal upwelling along the coast of central California compared with that off northern California, where onshore-offshore gradients are more distinct.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.quaint.2019.12.019","usgsCitation":"Barron, J.A., Addison, J.A., Heusser, L.E., Bukry, D., Schwartz, V.E., and Wagner, A., 2022, An 11,300 yr record of paleoclimatology and paleoceanography of the central California coast in a gravity core from Pioneer Seamount: Quaternary International, v. 621, p. 74-83, https://doi.org/10.1016/j.quaint.2019.12.019.","productDescription":"10 p.","startPage":"74","endPage":"83","ipdsId":"IP-109697","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":449884,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quaint.2019.12.019","text":"Publisher Index Page"},{"id":396236,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Guide Seamount, Pioneer Seamount","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.5,\n 36.9\n ],\n [\n -123.2,\n 36.9\n ],\n [\n -123.2,\n 37.4\n ],\n [\n -123.5,\n 37.4\n ],\n [\n -123.5,\n 36.9\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"621","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Barron, John A. 0000-0002-9309-1145 jbarron@usgs.gov","orcid":"https://orcid.org/0000-0002-9309-1145","contributorId":2222,"corporation":false,"usgs":true,"family":"Barron","given":"John","email":"jbarron@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":835538,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Addison, Jason A. 0000-0003-2416-9743 jaddison@usgs.gov","orcid":"https://orcid.org/0000-0003-2416-9743","contributorId":4192,"corporation":false,"usgs":true,"family":"Addison","given":"Jason","email":"jaddison@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":835539,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heusser, Linda E.","contributorId":178365,"corporation":false,"usgs":false,"family":"Heusser","given":"Linda","email":"","middleInitial":"E.","affiliations":[{"id":28041,"text":"Lamont-Doherty Earth Observatory, Columbia University","active":true,"usgs":false}],"preferred":false,"id":835540,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bukry, David 0000-0003-4540-890X","orcid":"https://orcid.org/0000-0003-4540-890X","contributorId":30980,"corporation":false,"usgs":true,"family":"Bukry","given":"David","affiliations":[],"preferred":false,"id":835541,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schwartz, Valerie Evelyn 0000-0003-2874-8435","orcid":"https://orcid.org/0000-0003-2874-8435","contributorId":279639,"corporation":false,"usgs":true,"family":"Schwartz","given":"Valerie","email":"","middleInitial":"Evelyn","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":835542,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wagner, Amy","contributorId":279638,"corporation":false,"usgs":false,"family":"Wagner","given":"Amy","email":"","affiliations":[{"id":57324,"text":"California State University - Sacramento","active":true,"usgs":false}],"preferred":false,"id":835543,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70238135,"text":"70238135 - 2022 - The use of dye-tracing studies to delineate the recharge area for Manitou Cave in northwestern Alabama","interactions":[],"lastModifiedDate":"2022-11-14T13:03:38.753842","indexId":"70238135","displayToPublicDate":"2019-11-14T07:01:15","publicationYear":"2022","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"The use of dye-tracing studies to delineate the recharge area for Manitou Cave in northwestern Alabama","docAbstract":"In 2010 the U.S. Fish and Wildlife (USFWS) was petitioned to federally list the Manitou Cave Snail, (Antrorbis breweri ), a stygobiont endemic to Manitou Cave in northwestern Alabama. When an agency is tasked with determining whether to add a species to the Endangered Species List, one of the components examined is potential threats to the biota. Knowing the recharge area for a cave or spring is critical to identifying potential threats because of the interconnectivity between surface activities and groundwater quality/quantity in karst areas. Potential threats to water quality and quantity in Manitou Cave include recent subdivision developments, a nearby active quarry, land clearing, and several major highways. The 1.7 km-long cave is currently owned by a non-profit organization, Manitou Cave of Alabama, which oversees management, restoration, research, and documentation activities. In 2016, talks began between state and federal agencies and the new management in an effort to initiate new research to determine whether the snail merited listing. In 2019, a cooperative project between USFWS and the U.S. Geological Survey was started to delineate a recharge area for Manitou Cave through dye tracing. The current research will be used by USFWS to determine primary threats and to inform the decision of whether and how to list the Manitou Cave Snail under the Endangered Species Act.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"2019 National Cave and Karst Management Symposium Proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"National Cave & Karst Management Symposium","conferenceDate":"October 7-11, 2019","conferenceLocation":"Bristol, Virginia","language":"English","publisher":"National Cave & Karst Management Symposium","usgsCitation":"Miller, B., 2022, The use of dye-tracing studies to delineate the recharge area for Manitou Cave in northwestern Alabama, in 2019 National Cave and Karst Management Symposium Proceedings, Bristol, Virginia, October 7-11, 2019, p. 56-74.","productDescription":"19 p.","startPage":"56","endPage":"74","ipdsId":"IP-115097","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":409324,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":409313,"type":{"id":15,"text":"Index Page"},"url":"https://nckms.org/wp-content/uploads/2020/10/2019NCKMSProceedings.pdf"}],"country":"United States","state":"Alabama","otherGeospatial":"Manitou Cave","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -85.40345257170874,\n 34.70325069158092\n ],\n [\n -85.94727581389631,\n 34.70325069158092\n ],\n [\n -85.94727581389631,\n 34.31375304165839\n ],\n [\n -85.40345257170874,\n 34.31375304165839\n ],\n [\n -85.40345257170874,\n 34.70325069158092\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, Benjamin 0000-0003-4795-3442 bvmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-4795-3442","contributorId":197345,"corporation":false,"usgs":true,"family":"Miller","given":"Benjamin","email":"bvmiller@usgs.gov","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":856966,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70216083,"text":"70216083 - 2022 - Long-term annual aerial surveys of submersed aquatic vegetation (SAV) support science, management, and restoration","interactions":[],"lastModifiedDate":"2022-08-01T16:45:18.469042","indexId":"70216083","displayToPublicDate":"2019-11-04T12:31:20","publicationYear":"2022","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":"Long-term annual aerial surveys of submersed aquatic vegetation (SAV) support science, management, and restoration","docAbstract":"Aerial surveys of coastal habitats can uniquely inform the science and management of shallow, coastal zones, and when repeated annually, they reveal changes that are otherwise difficult to assess from ground-based surveys. This paper reviews the utility of a long-term (1984-present) annual aerial monitoring program for submersed aquatic vegetation (SAV) in Chesapeake Bay, its tidal tributaries, and nearby Atlantic coastal bays, USA. We present a series of applications that highlight the program’s importance in assessing anthropogenic impacts, gauging water quality status and trends, establishing and evaluating restoration goals, and understanding the impact of commercial fishing practices on benthic habitats. These examples demonstrate how periodically quantifying coverage of this important foundational habitat answers basic research questions locally as well as globally, and provides essential information to resource managers. New technologies are enabling more frequent and accurate aerial surveys at greater spatial resolution and lower cost. These advances will support efforts to extend the applications described here to similar issues in other areas","language":"English","publisher":"Springer","doi":"10.1007/s12237-019-00651-w","usgsCitation":"Orth, R.J., Dennison, W.C., Gurbisz, C., Hannam, M.P., Keisman, J.L., Landry, J.B., Lefcheck, J., Moore, K.A., Murphy, R., Patrick, C.J., Testa, J., Weller, D.E., Wilcox, D.J., and Batiuk, R., 2022, Long-term annual aerial surveys of submersed aquatic vegetation (SAV) support science, management, and restoration: Estuaries and Coasts, v. 45, p. 1012-1027, https://doi.org/10.1007/s12237-019-00651-w.","productDescription":"16 p.","startPage":"1012","endPage":"1027","ipdsId":"IP-105295","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":449886,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-019-00651-w","text":"Publisher Index Page"},{"id":380173,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.431640625,\n 37.31775185163688\n ],\n [\n -75.43212890625,\n 37.31775185163688\n ],\n [\n -75.43212890625,\n 39.639537564366684\n ],\n [\n -77.431640625,\n 39.639537564366684\n ],\n [\n -77.431640625,\n 37.31775185163688\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"45","noUsgsAuthors":false,"publicationDate":"2019-11-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Orth, Robert J.","contributorId":140562,"corporation":false,"usgs":false,"family":"Orth","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":803963,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dennison, William C.","contributorId":140570,"corporation":false,"usgs":false,"family":"Dennison","given":"William","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":803964,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gurbisz, Cassie","contributorId":199774,"corporation":false,"usgs":false,"family":"Gurbisz","given":"Cassie","email":"","affiliations":[],"preferred":false,"id":803965,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hannam, Michael P.","contributorId":199775,"corporation":false,"usgs":false,"family":"Hannam","given":"Michael","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":803966,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Keisman, Jennifer L. 0000-0001-6808-9193 jkeisman@usgs.gov","orcid":"https://orcid.org/0000-0001-6808-9193","contributorId":198107,"corporation":false,"usgs":true,"family":"Keisman","given":"Jennifer","email":"jkeisman@usgs.gov","middleInitial":"L.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":803967,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Landry, J. Brooke","contributorId":199776,"corporation":false,"usgs":false,"family":"Landry","given":"J.","email":"","middleInitial":"Brooke","affiliations":[],"preferred":false,"id":803968,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lefcheck, Jonathan S. 0000-0002-8787-1786","orcid":"https://orcid.org/0000-0002-8787-1786","contributorId":205448,"corporation":false,"usgs":false,"family":"Lefcheck","given":"Jonathan S.","affiliations":[{"id":37107,"text":"Bigelow Laboratory for Ocean Science, East Boothbay, ME","active":true,"usgs":false}],"preferred":false,"id":803969,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Moore, Kenneth A.","contributorId":140569,"corporation":false,"usgs":false,"family":"Moore","given":"Kenneth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":803970,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Murphy, Rebecca 0000-0003-3391-1823","orcid":"https://orcid.org/0000-0003-3391-1823","contributorId":199777,"corporation":false,"usgs":false,"family":"Murphy","given":"Rebecca","email":"","affiliations":[{"id":37215,"text":"University of Maryland Center for Environmental Science","active":true,"usgs":false}],"preferred":true,"id":803971,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Patrick, Christopher J.","contributorId":199778,"corporation":false,"usgs":false,"family":"Patrick","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":803972,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Testa, Jeremy","contributorId":199779,"corporation":false,"usgs":false,"family":"Testa","given":"Jeremy","affiliations":[],"preferred":false,"id":803973,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Weller, Donald E.","contributorId":206834,"corporation":false,"usgs":false,"family":"Weller","given":"Donald","email":"","middleInitial":"E.","affiliations":[{"id":13510,"text":"Smithsonian Environmental Research Center","active":true,"usgs":false}],"preferred":false,"id":803975,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Wilcox, David J.","contributorId":140565,"corporation":false,"usgs":false,"family":"Wilcox","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":803976,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Batiuk, Richard A.","contributorId":244451,"corporation":false,"usgs":false,"family":"Batiuk","given":"Richard A.","affiliations":[{"id":48913,"text":"CoastWise Partners","active":true,"usgs":false}],"preferred":false,"id":803977,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70247507,"text":"70247507 - 2021 - Partial differential equation driven dynamic graph networks for predicting stream water temperature","interactions":[],"lastModifiedDate":"2023-08-10T12:22:01.499669","indexId":"70247507","displayToPublicDate":"2023-01-24T07:20:46","publicationYear":"2021","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Partial differential equation driven dynamic graph networks for predicting stream water temperature","docAbstract":"In the northern Gulf of Mexico, island restoration and creation have been used to mitigate potential negative effects of anthropogenic and environmental stressors to breeding seabirds. The long-term success of such projects can be enhanced when data are available to elucidate how site-specific and larger-scale factors may contribute to reproductive success. Nest-specific daily survival rate (DSR) of Eastern Brown Pelicans (Pelecanus occidentalis carolinensis) during incubation (i.e., pre-hatch; n = 245) and brood-rearing (i.e., post-hatch; n = 185) were measured at two breeding islands in the northern Gulf of Mexico USA in 2017 and 2018 in relation to macro- and micro- scale habitat and environmental measurements. DSR of nests during incubation ranged from 91-99%, and the DSR during brood-rearing exceeded 99% each year. Regional weather variables occurred in top-performing models more often and with more significance compared to microhabitat variables. Results suggest that reproductive success of Brown Pelicans may respond at least in part to weather factors that occur outside of the scope of habitat structure as it is typically incorporated into the restoration or creation of breeding habitat, indicating that climate conditions are likely an important factor in the success of restoration efforts.
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Industrial activities at the former Chromatex Plant resulted in trichloroethene (TCE) contamination of groundwater at and near the facility, which was identified in 1987 and led to listing as a Superfund site by the U.S. Environmental Protection Agency (EPA) in 1989. To address the problem of TCE concentrations in nearby residential wells that exceed the maximum contaminant level (MCL) of 5 micrograms per liter (μg/L), alternate water supplies were provided. A 2015 review of initial characterization and subsequent remediation by the EPA identified the need for an updated understanding of the complex hydrogeology and the conceptual site model. Additional contaminants present in groundwater at the site include some other volatile organic compounds (VOCs) and per- and polyfluoroalkyl substances (PFAS), predominantly consisting of perfluorooctanoic acid (PFOA) and perfluorooctanesulfonic acid (PFOS) present in concentrations that exceeded the EPA Health Advisory (HA) level of 5 nanograms per liter (ng/L) for combined PFOA and PFOS.
In response to a request from the EPA in 2019, the U.S. Geological Survey (USGS) prepared cross sections and maps to provide more information about the hydrogeologic framework at and near the site and assist in improving the conceptual site model using water level and contaminant data collected by the EPA in 2020. The cross sections present lithologic correlations from available geophysical logs collected in wells from 2002 to 2014; they show alternating intervals of relatively elevated and reduced natural gamma activity that correspond to changes in lithology, with water-bearing zones and well screens commonly located at lithologic contacts, sometimes near thin coal seams. Water-bearing zones commonly are associated with fractures at or near lithologic contacts but also may be associated with fractures at or near apparent faulting. Recent (March 2020) water-level data shown on cross sections and maps indicate large downward vertical gradients and apparent radial gradients laterally to the northeast, northwest, and southwest that generally following topography. Recent (February to March 2020) data for TCE groundwater concentration shown on cross sections and maps indicate the highest TCE concentrations (greater than 3,000 μg/L and as much as 75,000 μg/L) and combined PFOA and PFOS concentrations (greater than 1,000 ng/L and up to at least 2,350 ng/L) are from shallow (less than 60 feet [ft] below land surface [bls]) and intermediate depth (60 to 100 ft bls) wells near the center of the former Chromatex Plant. TCE and PFAS (as combined PFOA and PFOS) contamination is present at greater depths, as much as 304 ft bls, as evidenced by samples collected from one well (a reconstructed former production well) near the plant, that contained concentrations of about 240 μg/L and 508 ng/L, respectively. The 2020 data also indicate that TCE and PFAS concentrations which exceed drinking-water MCL or HA levels are present in groundwater depths of less than 200 ft in an area that extends predominantly in a northeast direction from the former Chromatex Plant, and is apparently influenced by hydraulic gradients, lithology, and geologic structure.
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(A) and generalized potentiometric surfaces and trichloroethene concentrations (B), Valmont TCE Superfund Site, Luzerne County, Pennsylvania, February-March 2020"},{"id":389676,"rank":9,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2021/1093/ofr20211093_plate7.pdf","text":"Plate 7","size":"287 KB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Section E-Eʹ with geophysical log correlations, Valmont TCE Superfund Site, Luzerne County, Pennsylvania"},{"id":389675,"rank":8,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2021/1093/ofr20211093_plate6.pdf","text":"Plate 6","size":"293 KB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Section D-Dʹ with geophysical log correlations, generalized potentiometric surfaces, and trichloroethene concentrations, Valmont TCE Superfund Site, Luzerne County, Pennsylvania, February-March 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1.0: September 30, 2021; Version 1.1: August 9, 2022","contact":"Director, Pennsylvania Water Science Center
U.S. Geological Survey
215 Limekiln Road
New Cumberland, PA 17070-2424
The U.S. Geological Survey, in cooperation with the New York State Department of Environmental Conservation, catalogued aquifers and closed depressions in a karst-prone area between Albany and Buffalo, New York to provide resource managers information to more efficiently manage and protect groundwater resources. The New York State Department of Environmental Conservation has been working with the agricultural industry to raise awareness of karst aquifer contamination susceptibility and how to reduce effects on surface water and groundwater resources, especially in karst areas. There is also a need to make industries, State and local regulators, planners, and the public aware of New York’s karst resources to properly protect and manage these resources and the quality of surface water and groundwater that flows through the karst aquifer.
Publicly available geospatial data were identified, collated, and analyzed for a region of karst terrain extending from Albany to Buffalo. The region was divided into 10 subareas. A series of geospatial datasets were assembled to determine the location and extent of karstic rock; bedrock geology and depth to bedrock; average water-table configuration; surficial geology; soil type, thickness, and hydraulic conductivity; land cover; and closed depressions in the land surface.
Repeated glaciation and recession across New York have left the landscape pockmarked with closed depressions, which may or may not be related to the underlying bedrock. Closed depressions in areas where carbonate or evaporite karst are present are of primary concern to this study because of the increased potential of karst aquifer contamination from focused recharge. Closed depressions present in areas not associated with karst bedrock can also be evaluated to better understand their ability to transmit surface water to the groundwater system. Information on closed depressions can be used to develop land-management plans to protect local and regional water resources.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215094","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Sporleder, B.A., Fisher, B.N., Keto, D.S., Kappel, W.M., Reddy, J.E., and DeMott, L.M., 2021, Methods of data collection and analysis for an assessment of karst aquifer systems between Albany and Buffalo, New York (ver. 2.0, July 2022): U.S. Geological Survey Scientific Investigations Report 2021–5094, 8 p., https://doi.org/10.3133/sir20215094","productDescription":"Report: vi, 8 p.; Data Release","numberOfPages":"8","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-120497","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":389881,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9AYMP94","text":"USGS data release","linkHelpText":"Geospatial data to assess karst aquifer systems between Albany and Buffalo, New York"},{"id":389878,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5094/coverthb.jpg"},{"id":389879,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5094/sir20215094.pdf","text":"Report","size":"2.81 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021-5094"},{"id":389883,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2021/5094/images/"},{"id":389882,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2021/5094/sir20215094.XML"},{"id":390035,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/sir20215094/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":502113,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_111818.htm","linkFileType":{"id":5,"text":"html"}},{"id":404517,"rank":7,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2021/5094/versionHist.txt","text":"Version History","linkFileType":{"id":2,"text":"txt"}}],"country":"United States","state":"New York","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.71826171874999,\n 42.76314586689492\n ],\n [\n -74.53125,\n 42.97250158602597\n ],\n [\n -76.4208984375,\n 42.94033923363181\n ],\n [\n -77.9150390625,\n 42.90816007196054\n ],\n [\n -78.85986328125,\n 42.98857645832184\n ],\n [\n -78.9697265625,\n 42.71473218539458\n ],\n [\n -78.75,\n 42.52069952914966\n ],\n [\n -77.80517578125,\n 42.52069952914966\n ],\n [\n -76.39892578125,\n 42.58544425738491\n ],\n [\n -74.77294921875,\n 42.66628070564928\n ],\n [\n -73.67431640625,\n 42.65012181368022\n ],\n [\n -73.71826171874999,\n 42.76314586689492\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Originally posted October 18, 2021; Revised July 29, 2022","contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180–8349
Manatees and dugongs live in tropical and semi-tropical regions around the world. Their preferred habitats are seagrass beds, rivers, lakes, and estuaries. Manatees live in both freshwater and marine systems although habitat preferences vary across the three species, while the dugong is entirely marine. Sirenians are shallow water divers, and their dive durations are short compared to most other marine mammals. The maximum recorded manatee dive duration is 24 min, with the maximum recorded duration of a dugong dive being about half that. Even though the durations of dugong dives are shorter than those of manatees, current data indicate that dugongs dive deeper than manatees. Dive depths for manatees generally do not exceed 5 m, other than during occasional travel over deeper water; however, this may be an artifact of water depth in areas where diving data were recorded, or where manatees live. In some parts of their range, dugongs are found over deep-water seagrass beds and dives have been recorded to more than 30 m. All extant sirenians eat diverse plant-based diets: collectively they have been documented feeding on at least 55 genera of marine and freshwater plants. Although not confirmed for the Amazonian manatee, it is likely that all extant sirenians eat animal, as well as plant, matter. West Indian and African manatees have been documented eating marine and freshwater fish and invertebrates , and for African manatees, these food resources are a regular part of their diet, arguably making them omnivores . Dugongs have been recorded targeting invertebrates at the high latitude limits of their range in winter. All manatees like to drink fresh water, in contrast to dugongs, which live entirely in marine systems and apparently meet the water requirements from their food.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Ethology and behavioral ecology of Sirenia","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","doi":"10.1007/978-3-030-90742-6_3","usgsCitation":"Keith-Diagne, L., Barlas, M.E., Reid, J.P., Hodgson, A., and Marsh, H., 2021, Diving and foraging behaviors, chap. 3 of Ethology and behavioral ecology of Sirenia, p. 67-100, https://doi.org/10.1007/978-3-030-90742-6_3.","productDescription":"34 p.","startPage":"67","endPage":"100","ipdsId":"IP-123593","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":449906,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/978-3-030-90742-6_3","text":"Publisher Index Page"},{"id":406539,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2022-05-10","publicationStatus":"PW","contributors":{"editors":[{"text":"Marsh, Helene","contributorId":150772,"corporation":false,"usgs":false,"family":"Marsh","given":"Helene","email":"","affiliations":[],"preferred":false,"id":854081,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Keith-Diagne, Lucy W","contributorId":261440,"corporation":false,"usgs":false,"family":"Keith-Diagne","given":"Lucy W","affiliations":[{"id":36882,"text":"African Aquatic Conservation Fund","active":true,"usgs":false}],"preferred":false,"id":820039,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barlas, Margaret E","contributorId":261442,"corporation":false,"usgs":false,"family":"Barlas","given":"Margaret","email":"","middleInitial":"E","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":820040,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reid, James P. 0000-0002-8497-1132","orcid":"https://orcid.org/0000-0002-8497-1132","contributorId":206849,"corporation":false,"usgs":true,"family":"Reid","given":"James","email":"","middleInitial":"P.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":820041,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hodgson, Amanda J","contributorId":261445,"corporation":false,"usgs":false,"family":"Hodgson","given":"Amanda J","affiliations":[{"id":52856,"text":"Harry Butler Institute, Murdoch University","active":true,"usgs":false}],"preferred":false,"id":820042,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Marsh, Helene","contributorId":150772,"corporation":false,"usgs":false,"family":"Marsh","given":"Helene","email":"","affiliations":[],"preferred":false,"id":820043,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70231402,"text":"70231402 - 2021 - The effect of changing sea ice on wave climate trends along Alaska's central Beaufort Sea coast","interactions":[],"lastModifiedDate":"2022-05-10T11:41:41.779579","indexId":"70231402","displayToPublicDate":"2022-05-05T06:39:10","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3554,"text":"The Cryosphere","active":true,"publicationSubtype":{"id":10}},"title":"The effect of changing sea ice on wave climate trends along Alaska's central Beaufort Sea coast","docAbstract":"Diminishing sea ice is impacting the wave field across the Arctic region. Recent observation- and model-based studies highlight the spatiotemporal influence of sea ice on offshore wave climatologies, but effects within the nearshore region are still poorly described. This study characterizes the wave climate in the central Beaufort Sea coast from 1979 to 2019 by utilizing a wave hindcast model that uses ERA5 winds, waves, and ice concentrations as input. The spectral wave model SWAN (Simulating Waves Nearshore) is calibrated and validated based on more than 10 000 in situ time point measurements collected over a 13-year time period across the region, with friction variations and empirical coefficients for newly implemented empirical ice formulations for the open-water and shoulder seasons. Model results and trends are analyzed over the 41-year time period using the non-parametric Mann–Kendall test, including an estimate of Sen's slope. The model results show that the reduction in sea ice concentration correlates strongly with increases in average and extreme wave conditions. In particular, the open-water season extended by ∼96 d over the 41-year time period (∼2.4 d yr−1), resulting in a 5-fold increase in the yearly cumulative wave power. Moreover, the open-water season extends later into the year, resulting in relatively more open-water conditions during fall storms with high wind speeds. The later freeze-up results in an increase in the annual offshore median wave heights of 1 % yr−1 and an increase in the average number of rough wave days (defined as days when maximum wave heights exceed 2.5 m) from 1.5 in 1979 to 13.1 d in 2019. Trends in the nearshore areas deviate from the patterns offshore. Model results indicate a saturation limit for high wave heights in the shallow areas of Foggy Island Bay. Similar patterns are found for yearly cumulative wave power.
","language":"English","publisher":"European Geosciences Union","doi":"10.5194/tc-16-1609-2022","usgsCitation":"Nederhoff, C.M., Erikson, L.H., Engelstad, A.C., Bieniek, P.A., and Kasper, J., 2021, The effect of changing sea ice on wave climate trends along Alaska's central Beaufort Sea coast: The Cryosphere, v. 16, p. 1609-1629, https://doi.org/10.5194/tc-16-1609-2022.","productDescription":"21 p.","startPage":"1609","endPage":"1629","ipdsId":"IP-130100","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":449907,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/tc-16-1609-2022","text":"Publisher Index Page"},{"id":400377,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Beaufort Sea coast","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -153.4130859375,\n 68.92681148621786\n ],\n [\n -141.1083984375,\n 68.92681148621786\n ],\n [\n -141.1083984375,\n 71.10254274232307\n ],\n [\n -153.4130859375,\n 71.10254274232307\n ],\n [\n -153.4130859375,\n 68.92681148621786\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"16","noUsgsAuthors":false,"publicationDate":"2022-05-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Nederhoff, Cornelis M. 0000-0003-0552-3428","orcid":"https://orcid.org/0000-0003-0552-3428","contributorId":265889,"corporation":false,"usgs":false,"family":"Nederhoff","given":"Cornelis","email":"","middleInitial":"M.","affiliations":[{"id":33886,"text":"Deltares USA","active":true,"usgs":false}],"preferred":true,"id":842511,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":149963,"corporation":false,"usgs":true,"family":"Erikson","given":"Li","email":"lerikson@usgs.gov","middleInitial":"H.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":842512,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Engelstad, Anita C 0000-0002-0211-4189","orcid":"https://orcid.org/0000-0002-0211-4189","contributorId":268303,"corporation":false,"usgs":true,"family":"Engelstad","given":"Anita","email":"","middleInitial":"C","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":842513,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bieniek, Peter A.","contributorId":210907,"corporation":false,"usgs":false,"family":"Bieniek","given":"Peter","email":"","middleInitial":"A.","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":842514,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kasper, Jeremy L. 0000-0003-0975-6114","orcid":"https://orcid.org/0000-0003-0975-6114","contributorId":208630,"corporation":false,"usgs":false,"family":"Kasper","given":"Jeremy L.","affiliations":[{"id":37850,"text":"University of Alaska Fairbanks, Fairbanks, Alaska, UNITED STATES","active":true,"usgs":false}],"preferred":false,"id":842515,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70230006,"text":"70230006 - 2021 - Towards improving an Area of Concern: Main-channel habitat rehabilitation priorities for the Maumee River","interactions":[],"lastModifiedDate":"2022-03-23T13:44:44.222736","indexId":"70230006","displayToPublicDate":"2022-03-23T08:20:57","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Towards improving an Area of Concern: Main-channel habitat rehabilitation priorities for the Maumee River","docAbstract":"The Maumee River watershed in the Laurentian Great Lakes Basin has been impacted by decades of pollution and habitat modification due to human settlement and development. As such, the lower 35 km of the Maumee River and several smaller adjacent watersheds comprising over 2000 km2 were designated the Maumee Area of Concern (AOC) under the revised Great Lakes Water Quality Agreement in 1987. As part of pre-rehabilitation assessments in the Maumee AOC, we assessed fish and invertebrate communities in river km 24–11 of the Maumee River to identify: 1) areas that exhibit the highest biodiversity, 2) habitat characteristics associated with high biodiversity areas, 3) areas in need of protection from further degradation, and 4) areas that could feasibly be rehabilitated to increase biodiversity. Based on benthic trawl data, shallow water habitats surrounding large island complexes had the highest fish diversity and catch per unit effort (CPUE). Electrofishing displayed similar fish diversity and CPUE patterns across habitat types early in the study but yielded no discernable fish diversity or CPUE patterns towards the end of our study. Although highly variable among study sites, macroinvertebrate density was greatest in shallow water habitats <2.5 m and around large island complexes. Our results provide valuable baseline data that could act as a foundation for developing rehabilitation strategies in the lower Maumee River and for assessing the effectiveness of future aquatic habitat rehabilitation projects. In addition to increasing in-channel habitat, watershed-scale improvements of water quality might be necessary to ensure rehabilitation strategies are successful.
Small, isolated populations present a challenge for conservation. The dueling effects of selection and drift in a limited pool of genetic diversity make the responses of small populations to environmental perturbations erratic and difficult to predict. This is particularly true at the edge of a species range, where populations often persist at the limits of their environmental tolerances. Populations of cisco, Coregonus artedi, in inland lakes have experienced numerous extirpations along the southern edge of their range in recent decades, which are thought to result from environmental degradation and loss of cold, well-oxygenated habitat as lakes warm. Yet, cisco extirpations do not show a clear latitudinal pattern, suggesting that local environmental factors and potentially local adaptation may influence resilience. Here, we used genomic tools to investigate the nature of this pattern of resilience. We used restriction site-associated DNA capture (Rapture) sequencing to survey genomic diversity and differentiation in southern inland lake cisco populations and compared the frequency of deleterious mutations that potentially influence fitness across lakes. We also examined haplotype diversity in a region of the major histocompatibility complex involved in stress and immune system response. We correlated these metrics to spatial and environmental factors including latitude, lake size, and measures of oxythermal habitat and found significant relationships between genetic metrics and broad and local factors. High levels of genetic differentiation among populations were punctuated by a phylogeographic break and residual patterns of isolation-by-distance. Although the prevalence of deleterious mutations and inbreeding coefficients was significantly correlated with latitude, neutral and non-neutral genetic diversity were most strongly correlated with lake surface area. Notably, differences among lakes in the availability of estimated oxythermal habitat left no clear population genomic signature. Our results shed light on the complex dynamics influencing these isolated populations and provide valuable information for their conservation.
A portable suction-dredge and sluice-box system were used to collect larval lampreys (Entosphenus tridentatus and Lampetra spp.) from fine and coarse sediment in field and laboratory tests. We evaluated the injury rate, survival, and burrowing capability of lamprey following passage through the dredge system and used collection of lamprey from water without sediment as a control. The system used a hydraulic eductor (also known as a Venturi valve) to create suction so that sediment and lamprey avoided passage through the pump impeller. For the field test, lamprey were tagged with visible elastomer implants based on small (89 millimeter [mm] or less) and large (92 mm or more) size categories and stocked into mesh enclosures over fine or coarse sediment. The dredge was used inside each enclosure to collect lamprey and they were transported to the laboratory for evaluation and holding. The mean time to burrow was recorded for each study group (3 fine, 3 coarse, 3 controls) on the day of the field test; injury was evaluated at 24 hours; and survival was evaluated at 24 hours, and at 7 and 14 days after the test. The suction dredge collected 32 lamprey in fine sediment, 21 lamprey in coarse sediment, and 28 lamprey in the control group, including 30 lamprey that were not initially stocked. One lamprey died the day of the test (fine sediment) and 24 hours later, three lamprey were found to be injured (2 in fine and 1 in coarse sediment). No injuries or mortalities occurred in the control group. Lamprey burrowing performance was similar across the two treatment groups and the controls. The mean time for all fish in a group to burrow was highly variable. For all groups in a treatment combined, the mean burrow times were fastest for the fine treatment (9.8 minutes), followed by the controls (11.4 minutes) and the coarse treatment (11.6 minutes). The mean times to burrow for the main group of fish in each treatment group (those that burrowed in quick succession) were similar: 4.3 minutes for the fine group, 4.4 minutes for the coarse group, and 4.5 minutes for the controls. The laboratory test collected 147 lamprey (73 small and 74 large size category) from coarse sediment using the same procedures as the field test. One fish (small) was killed the day of the test, and six lamprey (3 small and 3 large) were found with injuries during the 24-hour exams. No mortalities were recorded 7 days after the test, when monitoring was terminated. The overall injury rate for the laboratory test was 4.1 percent and the mortality rate was 0.7 percent. Injuries in the field and laboratory tests were localized minor hemorrhages or red, irritated areas. The suction- dredge system appears to be a safe option to collect larval lamprey from sediment and will be a useful addition to lamprey assessment and salvage tools.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211116","collaboration":"Prepared in cooperation with U.S. Fish and Wildlife Service","usgsCitation":"Liedtke, T.L., Skalicky, J.J., and Weiland, L.K., 2022, Collection of larval lampreys (Entosphenus tridentatus and Lampetra spp.) using a portable suction dredge—A pilot test: U.S. Geological Survey Open-File Report 2021–1116, 12 p., https://doi.org/10.3133/ofr20211116.","productDescription":"vi, 12 p.","onlineOnly":"Y","ipdsId":"IP-129003","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":436076,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9B337X6","text":"USGS data release","linkHelpText":"Evaluating injury and mortality to larval lamprey collected out of sediment using a portable suction dredge"},{"id":394472,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1116/coverthb2.jpg"},{"id":394473,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1116/ofr20212116.pdf","text":"Report","size":"2.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021-1116"}],"country":"United States","state":"Washington","otherGeospatial":"Wind River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.8229293823242,\n 45.68651588881847\n ],\n [\n -121.74190521240234,\n 45.68651588881847\n ],\n [\n -121.74190521240234,\n 45.74380820334429\n ],\n [\n -121.8229293823242,\n 45.74380820334429\n ],\n [\n -121.8229293823242,\n 45.68651588881847\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Western Fisheries Research Center
U.S. Geological Survey
6505 NE 65th Street
Seattle, Washington 98115-5016
The U.S. Geological Survey (USGS), in cooperation with the City of Grandview, Missouri, assessed flooding of the Little Blue River at Grandview resulting from varying precipitation magnitudes and durations and expected land-cover changes. The precipitation scenarios were used to develop a library of flood-inundation maps that included a 3.5-mile reach of the Little Blue River and tributaries within and adjacent to the city.
A hydrologic model of the upper Little Blue River Basin and a hydraulic model of a selected study reach of the Little Blue River and tributaries were constructed to assess streamflow magnitudes associated with simulated precipitation amounts and the resulting flood-inundation conditions. The U.S. Army Corps of Engineers Hydrologic Engineering Center-Hydrologic Modeling System (HEC–HMS; version 4.4.1) was used to simulate the amount of streamflow produced from a range of rain events. The Hydrologic Engineering Center-River Analysis System (HEC–RAS; version 5.0.7) was then used to construct a steady-state hydraulic model to map resulting areas of flood inundation.
Both models were calibrated to the May 28, 2020, high-flow event that produced a peak streamflow approximating a 10-percent annual exceedance probability (10-year flood-frequency recurrence interval) at the Little Blue River at Grandview streamgage (USGS station 06893750). The calibrated HEC–HMS model was used to simulate streamflows from design rainfall events of 1- to 8-hour durations and ranging from a 100- to 0.2-percent annual exceedance probability. Flood-inundation maps were produced for USGS streamflow stages of 17.0 feet (ft), or near bankfull, to 23.0 ft, or a stage exceeding the 0.2-percent annual exceedance interval flood, using the HEC–RAS model. The consequence of each precipitation duration-frequency value was represented by a 1-ft increment inundation map based on the generated peak streamflow from that rainfall event and the corresponding stage at the reference USGS streamgage.
Four scenarios were developed with the HEC–HMS hydrologic model: (1) current (2016) land cover, normal antecedent soil-moisture conditions; (2) current land cover, wet antecedent soil-moisture conditions; (3) future land cover, normal antecedent soil-moisture conditions; and (4) future land cover, wet antecedent soil-moisture conditions. The future land-cover condition was estimated based on anticipated development in the basin. All precipitation scenarios were input into each of the four land-cover antecedent moisture conditions and then assigned to a resulting flood-inundation map based on the generated peak flow and corresponding stage at the reference streamgage.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215068","collaboration":"Prepared in cooperation with City of Grandview, Missouri","usgsCitation":"Heimann, D.C., Voss, J.D., and Rydlund, P.H., Jr., 2021, Precipitation-driven flood-inundation mapping of the Little Blue River at Grandview, Missouri (ver. 1.1, January 2022): U.S. Geological Survey Scientific Investigations Report 2021–5068, 19 p., https://doi.org/10.3133/sir20215068.","productDescription":"Report: viii, 19 p.; 2 Data Releases; Dataset","numberOfPages":"32","onlineOnly":"Y","ipdsId":"IP-127298","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":501949,"rank":7,"type":{"id":36,"text":"NGMDB Index 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1.0: July 2021; Version 1.1: January 2022","contact":"Director, Central Midwest Water Science Center
U.S. Geological Survey
1400 Independence Road
Rolla, Missouri 65401
Statistical modeling of water-quality data collected at the Sacramento River at Freeport and San Joaquin River near Vernalis, California, USA, was used to examine trends in concentrations and loads of various forms of dissolved and particulate nitrogen and phosphorus that entered the Sacramento–San Joaquin River Delta (Delta) from upstream sources between 1970 and 2019. Ammonium concentrations and loads decreased at the Sacramento River site from the mid-1970s through 1990 because of the consolidation of wastewater treatment and continuously reduced from the mid-1970s to 2019 at the San Joaquin River site. Current ammonium concentrations are mostly below 4 µM (0.056 mg N L–1) at both sites, a concentration above which reductions in phytoplankton productivity or changes in algal species composition may occur. The Sacramento River at Freeport site is located upstream of the Sacramento Regional County Sanitation District’s treatment facility’s discharge point; nutrient water quality there is representative of upstream sources. Inorganic nitrogen (nitrate plus ammonium) concentrations and loading differed at both sites. At the Sacramento River location, concentrations decrease in the summer agricultural season, reducing the molar ratios of nitrogen to phosphorus.
In contrast, inorganic nitrogen concentrations increase in the San Joaquin River during the agricultural season as a result of irrigation runoff, increasing the molar ratio of nitrogen to phosphorus. This increase suggests a possible nitrogen limitation in the northern Delta and a phosphorus limitation in the southern Delta, as indicated by the molar ratios of bioavailable nitrogen to bioavailable phosphorus. Planned upgrades to the Sacramento Regional Wastewater Treatment Plant (SRWTP) will reduce inorganic nitrogen inputs to the northern Delta. Consequently, the supply of bioavailable nitrogen throughout the upper estuary should diminish. Source modeling of nitrogen and phosphorus identifies agriculture, atmospheric deposition, and wastewater effluent as sources of total nitrogen in the Central Valley. In contrast, geologic sources, agriculture, and wastewater discharge are the primary sources of phosphorus.
","language":"English","publisher":"University of California","doi":"10.15447/sfews.2021v19iss4art6","usgsCitation":"Saleh, D., and Domagalski, J.L., 2021, Concentrations, loads, and associated trends of nutrients entering the Sacramento-San Joaquin Delta, California: San Francisco Estuary and Watershed Science, v. 19, no. 4, p. 1-25, https://doi.org/10.15447/sfews.2021v19iss4art6.","productDescription":"6, 25 p.","startPage":"1","endPage":"25","ipdsId":"IP-114557","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":449932,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2021v19iss4art6","text":"Publisher Index Page"},{"id":393859,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Freeport, Vernalis","otherGeospatial":"Sacramento-San Joaquin Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.629150390625,\n 37.23470197166817\n ],\n [\n -119.0643310546875,\n 37.23470197166817\n ],\n [\n -119.0643310546875,\n 39.11727568585598\n ],\n [\n -123.629150390625,\n 39.11727568585598\n ],\n [\n -123.629150390625,\n 37.23470197166817\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"19","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-12-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Saleh, Dina 0000-0002-1406-9303 dsaleh@usgs.gov","orcid":"https://orcid.org/0000-0002-1406-9303","contributorId":939,"corporation":false,"usgs":true,"family":"Saleh","given":"Dina","email":"dsaleh@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":829996,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Domagalski, Joseph L. 0000-0002-6032-757X joed@usgs.gov","orcid":"https://orcid.org/0000-0002-6032-757X","contributorId":1330,"corporation":false,"usgs":true,"family":"Domagalski","given":"Joseph","email":"joed@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":829997,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70226898,"text":"sir20215130 - 2021 - Evaluating the effects of replacing septic systems with municipal sewers on groundwater quality in a densely developed coastal neighborhood, Falmouth, Massachusetts, 2016–19","interactions":[],"lastModifiedDate":"2022-01-04T01:28:42.314083","indexId":"sir20215130","displayToPublicDate":"2022-01-03T20:30:00","publicationYear":"2021","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":"2021-5130","displayTitle":"Evaluating the Effects of Replacing Septic Systems With Municipal Sewers on Groundwater Quality in a Densely Developed Coastal Neighborhood, Falmouth, Massachusetts, 2016–19","title":"Evaluating the effects of replacing septic systems with municipal sewers on groundwater quality in a densely developed coastal neighborhood, Falmouth, Massachusetts, 2016–19","docAbstract":"Land disposal of sewage wastewater through septic systems and cesspools is a major cause of elevated concentrations of nitrogen in the shallow coastal aquifers of southern New England. The discharge of nitrogen from these sources at the coast is affecting the environmental health of coastal saltwater bodies. In response, local, State, and Federal agencies are considering expensive actions to mitigate these effects, including installing municipal sewer systems. To increase the understanding of the effects of municipal sewering on groundwater quality discharging to coastal surface waters, a network of multilevel monitoring wells was established in a densely developed coastal neighborhood on the Maravista peninsula, Falmouth, Massachusetts, which was undergoing conversion from onsite septic disposal to municipal sewering.
The geohydrology of the study area on the peninsula is generally characterized as consisting of fine to coarse, well-sorted sands containing 2.9 to 9.3 meters of fresh groundwater and a flow system characterized by a groundwater divide slightly west of the center of the peninsula. The magnitude of hydraulic gradients at the water table is gently sloping, ranging from 0.000032 to 0.00059, and affected by daily and bimonthly tidal fluctuations from adjacent coastal ponds. On the western side of the divide, upgradient from Little Pond, average linear groundwater velocities and traveltimes along shallow flow paths, estimated from observed hydraulic gradients and estimated aquifer hydraulic conductivity and effective porosity, range from 0.076 to 0.094 meters per day and 7.8 to 9.7 years, respectively.
The groundwater monitoring network consists of 14 profile sites on the peninsula that each include a multilevel sampler for water-quality data collection and a shallow monitoring well for groundwater-level measurements. The study area encompasses about 230 residences that transitioned from onsite septic disposal to municipal sewering between spring 2017 and summer 2019. An additional multilevel sampler that was in a residential coastal setting but not undergoing sewering also was sampled periodically as a reference site.
Elevated nitrogen, as compared to typical uncontaminated, fresh groundwater in the Cape Cod aquifer, predominately as nitrate, was measured in 15 water-quality profiles at nitrate concentrations as great as 26.2 milligrams per liter as nitrogen (n=749; mean and median values were 5.1 and 4.1 milligrams per liter as nitrogen, respectively). At all 14 profile sites and the reference profile site on a nearby peninsula, wastewater effects were denoted by increased nitrate, boron, and specific conductance, and by decreased pH and dissolved oxygen. The highest concentrations of nitrate typically occurred in the deepest one-half of the freshwater zone and in intervals of suboxic and oxic groundwater.
Thickness-weighted mean and maximum nitrate concentrations, and total nitrate mass from four sampling rounds, provided a metric to evaluate expected changes at the 14 profile sites on the peninsula. Nitrate concentrations varied moderately by site between sampling rounds through both the presewering (June 2016 and April 2017) and transitional periods (April 2018 and June 2019). Nitrate concentrations greater than the U.S. Environmental Protection Agency maximum contaminant level for nitrate in drinking water (10 milligrams per liter as nitrogen), were detected at 9 of the 14 profile sites and at the reference site. The average of the mean thickness-weighted nitrate concentrations for the four full sampling rounds was greater than 5.0 milligrams per liter as nitrogen at 8 sites (7 profile sites and the reference site) and greater than 8 milligrams per liter as nitrogen at 3 profile sites. The total nitrate mass per square meter of land area at each profile site ranged from 1,830 to 36,800 milligrams per square meter. Nitrate mass flux, across a 500-meter-long section upgradient from Little Pond and covering about 15 percent of the total pond shoreline length, ranged from 124.3 to 192.6 kilograms per year for the four full sampling rounds under three groundwater-flow conditions.
The expected improvements in groundwater quality in the freshwater zone should be characterized by decreases in concentrations of dissolved total and inorganic nitrogen and common ions such as boron, chloride, and fluoride. A statistical analysis using the Regional Kendall test for sampling points grouped in specific depth ranges confirmed that water-quality changes were statistically significant in at least one depth group during the 3-year sampling period (nitrate: −0.76 milligram per liter per year; specific conductance: −12.1 microsiemens per centimeter at 25 degrees Celsius per year; dissolved oxygen: 0.82 milligram per liter per year); however, the rate at which the water-quality improvements will result in decreases in nitrate mass loads to the coastal ponds primarily depends on groundwater traveltimes and the rate of flushing of wastewater constituents from the aquifer.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215130","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency’s Southeast New England Program","usgsCitation":"McCobb, T.D., Barbaro, J.R., LeBlanc, D.R., and Belaval, M., 2021, Evaluating the effects of replacing septic systems with municipal sewers on groundwater quality in a densely developed coastal neighborhood, Falmouth, Massachusetts, 2016–19: U.S. Geological Survey Scientific Investigations Report 2021–5130, 39 p., https://doi.org/10.3133/sir20215130.","productDescription":"Report viii, 39 p.; Data Release; Dataset","numberOfPages":"39","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-126300","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":393105,"rank":6,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2021/5130/images/"},{"id":393103,"rank":4,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"- USGS water data for the Nation"},{"id":393102,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GEMMN6","text":"USGS data release","linkHelpText":"Baseline groundwater-quality data from a densely developed coastal neighborhood, Falmouth, Massachusetts (2016–2020) (ver. 3.0, April 2021)"},{"id":393101,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5130/sir20215130.pdf","text":"Report","size":"8.63 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021-5130"},{"id":393100,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5130/coverthb.jpg"},{"id":393104,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2021/5130/sir20215130.XML"}],"country":"United States","state":"Massachusetts","city":"Falmouth","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.65788269042969,\n 41.52245918082221\n ],\n [\n -70.39627075195312,\n 41.52245918082221\n ],\n [\n -70.39627075195312,\n 41.725205507257016\n ],\n [\n -70.65788269042969,\n 41.725205507257016\n ],\n [\n -70.65788269042969,\n 41.52245918082221\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New England Water Science Center
U.S. Geological Survey
10 Bearfoot Road
Northborough, MA 01532
On Memorial Day, 2015, catastrophic flooding throughout central Texas resulted in the loss of 13 lives and caused millions of dollars in damages (Furl 2018). The flooding exposed the need for water resource managers, first responders, and the public to have better real-time access to streamflow gaging stations and weather information. In 2016, the U.S. Geological Survey (USGS) developed the Texas Water Dashboard (Dashboard) to combine datasets produced by multiple agencies and display them in a single web-mapping application.
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Raven density estimates from 4 monitoring areas ranged between 0.63 (eastern most) and 2.44 (western most) raven km-2 (95% CI: 0.35–1.14 and 1.33–4.48, respectively). We used a Bayesian shared frailty model to estimate the effects of raven density and distance to the nearest previously active raven nest on the annual “survival” of juvenile desert tortoise decoys (75-mm Midline Carapace Length), which we then converted into survival estimates for 0- to 10-year-old desert tortoises by adjusting exposure to reflect natural activity patterns. At the 1.72-km median distance from the nearest previously active raven nest, the estimated annual survival of desert tortoises decreased as raven density increased, ranging among conservation areas from 0.774 (eastern most) to 0.733 (western most). Accordingly, our model predicts that desert tortoise populations exposed to raven densities in excess of 0.89 raven km-2, at a distance
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","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of international mine water association 2021","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Mine Water Management for Future Generations","conferenceLocation":"Cardiff, Wales","language":"English","publisher":"ISI Thomson","usgsCitation":"Byrne, P., Onnis, P., Runkel, R.L., Frau, I., Lynch, S.F., Brown, A.M., Robertson, I., and Edwards, P., 2021, Numerical modelling of mine pollution to inform remediation decision-making in watersheds, in Proceedings of international mine water association 2021, Cardiff, Wales, p. 66-71.","productDescription":"6 p.","startPage":"66","endPage":"71","ipdsId":"IP-129772","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":396699,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":396694,"type":{"id":15,"text":"Index Page"},"url":"https://www.imwa.info/imwaconferencesandcongresses/proceedings/325-proceedings-2021.html"}],"country":"Wales","otherGeospatial":"Nant Cwmnewyddion watershed","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Byrne, Patrick","contributorId":192845,"corporation":false,"usgs":false,"family":"Byrne","given":"Patrick","affiliations":[],"preferred":false,"id":837016,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Onnis, Patrizia","contributorId":209909,"corporation":false,"usgs":false,"family":"Onnis","given":"Patrizia","email":"","affiliations":[{"id":16820,"text":"University of Cagliari","active":true,"usgs":false}],"preferred":false,"id":837017,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Runkel, Robert L. 0000-0003-3220-481X runkel@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-481X","contributorId":685,"corporation":false,"usgs":true,"family":"Runkel","given":"Robert","email":"runkel@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":837018,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frau, Ilaria","contributorId":247580,"corporation":false,"usgs":false,"family":"Frau","given":"Ilaria","email":"","affiliations":[{"id":49583,"text":"Liverpool John Moores University","active":true,"usgs":false}],"preferred":false,"id":837019,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lynch, Sarah F. 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L.","affiliations":[{"id":16759,"text":"Swansea University","active":true,"usgs":false}],"preferred":false,"id":837021,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Robertson, Iain","contributorId":257646,"corporation":false,"usgs":false,"family":"Robertson","given":"Iain","email":"","affiliations":[],"preferred":false,"id":837022,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Edwards, Paul","contributorId":247582,"corporation":false,"usgs":false,"family":"Edwards","given":"Paul","email":"","affiliations":[{"id":16759,"text":"Swansea University","active":true,"usgs":false}],"preferred":false,"id":837023,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70219213,"text":"70219213 - 2021 - Risk-informed levee erosion countermeasure site selection and design in the Sacramento area part 2: Probabilistic numerical simulation of bank erosion","interactions":[],"lastModifiedDate":"2024-02-21T15:47:15.093087","indexId":"70219213","displayToPublicDate":"2021-12-31T08:40:40","publicationYear":"2021","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Risk-informed levee erosion countermeasure site selection and design in the Sacramento area part 2: Probabilistic numerical simulation of bank erosion","docAbstract":"USACE partnered with the United States Department of Agriculture, Agricultural Research Service, United States Geological Survey, and Texas A&M University to evaluate the erodibility of the river banks and levees to inform probabilistic numerical simulations using the Bank Stability and Toe Erosion Model (BSTEM). This paper, the second of two parts, addresses processing the collected data to inform inputs for probabilistic bank erosion estimates in BSTEM. Measuring the intrinsic soil properties for BSTEM is discussed in part one. Soil critical shear stress and soil erodibility coefficients were calibrated by Unified Soil Classification soil type to observed erosion on the American River. Adjustments were made in the probability density functions for these parameters to reflect field-measured variability and carry forward the reduction in error achieved during calibration. The resulting calibrated values were tested at additional sites, validating the resulting critical shear stress and soil erodibility coefficient values and probability density functions for more robust probabilistic bank erosion estimates using BSTEM.","conferenceTitle":"10th International Conference on Scour and Erosion (ICSE-10)","conferenceDate":"October 18-20, 2021","language":"English","publisher":"ASCE","usgsCitation":"Rivas, T.M., AuBuchon, J., Shidlovskaya, A., Langendoen, E., Work, P.A., Livsey, D.N., Timchenko, A., Jemes, K., and Briaud, J., 2021, Risk-informed levee erosion countermeasure site selection and design in the Sacramento area part 2: Probabilistic numerical simulation of bank erosion, 10th International Conference on Scour and Erosion (ICSE-10), October 18-20, 2021, 10 p.","productDescription":"10 p.","ipdsId":"IP-116981","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":425819,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.issmge.org/publications/publication/risk-informed-levee-erosion-countermeasure-site-selection-and-design-in-the-sacramento-area-part-2-probabilistic-numerical-simulation-of-bank-erosion","linkFileType":{"id":5,"text":"html"}},{"id":425814,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Sacramento","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.62841736139654,\n 38.61545545028389\n ],\n [\n -121.62841736139654,\n 38.459433276808824\n ],\n [\n -121.38485568051728,\n 38.459433276808824\n ],\n [\n -121.38485568051728,\n 38.61545545028389\n ],\n [\n -121.62841736139654,\n 38.61545545028389\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rivas, Todd M.","contributorId":256771,"corporation":false,"usgs":false,"family":"Rivas","given":"Todd","email":"","middleInitial":"M.","affiliations":[{"id":51857,"text":"Sacramento District, United States Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":813240,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"AuBuchon, Jonathan","contributorId":256772,"corporation":false,"usgs":false,"family":"AuBuchon","given":"Jonathan","email":"","affiliations":[{"id":51859,"text":"Albuquerque District, United States Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":813241,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shidlovskaya, Anna","contributorId":256773,"corporation":false,"usgs":false,"family":"Shidlovskaya","given":"Anna","email":"","affiliations":[{"id":51860,"text":"Department of Civil Engineering, Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":813242,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Langendoen, Eddy J.","contributorId":256774,"corporation":false,"usgs":false,"family":"Langendoen","given":"Eddy J.","affiliations":[{"id":51861,"text":"USDA National Sedimentation Laboratory, Agricultural Research Service","active":true,"usgs":false}],"preferred":false,"id":813243,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Work, Paul A. 0000-0002-2815-8040 pwork@usgs.gov","orcid":"https://orcid.org/0000-0002-2815-8040","contributorId":168561,"corporation":false,"usgs":true,"family":"Work","given":"Paul","email":"pwork@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":813244,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Livsey, Daniel N. 0000-0002-2028-6128 dlivsey@usgs.gov","orcid":"https://orcid.org/0000-0002-2028-6128","contributorId":181870,"corporation":false,"usgs":true,"family":"Livsey","given":"Daniel","email":"dlivsey@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":813245,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Timchenko, Anna","contributorId":334257,"corporation":false,"usgs":false,"family":"Timchenko","given":"Anna","email":"","affiliations":[],"preferred":false,"id":895117,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jemes, Kellie","contributorId":334259,"corporation":false,"usgs":false,"family":"Jemes","given":"Kellie","email":"","affiliations":[],"preferred":false,"id":895118,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Briaud, Jean-Louis","contributorId":334258,"corporation":false,"usgs":false,"family":"Briaud","given":"Jean-Louis","email":"","affiliations":[],"preferred":false,"id":895119,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70219211,"text":"70219211 - 2021 - Risk-informed levee erosion countermeasure site selection and design in the Sacramento area part 1: Soil sampling, testing, and data processing","interactions":[],"lastModifiedDate":"2024-02-21T14:39:05.70841","indexId":"70219211","displayToPublicDate":"2021-12-31T08:31:46","publicationYear":"2021","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Risk-informed levee erosion countermeasure site selection and design in the Sacramento area part 1: Soil sampling, testing, and data processing","docAbstract":"USACE partnered with the United States Department of Agriculture, Agricultural Research Service, United States Geological Survey, and Texas A&M University to evaluate the erodibility of the river banks and levees to inform probabilistic numerical simulations using the Bank Stability and Toe Erosion Model (BSTEM). This paper discusses the measurement of the intrinsic erosion and geotechnical properties of the soil for improved BSTEM results and is the first of two parts. Sampling and testing were conducted at select sites to obtain the soil stratigraphy and collect samples for estimation of engineering properties. Soil erodibility was measured using the Erosion Function Apparatus test, the Borehole Erosion Test, the Pocket Erodometer Test, and the mini-Jet Erosion Test. Critical evaluation of previously existing datasets and the collection of these new datasets helped to provide better definition of the range in erosion parameters for improved probabilistic erosion estimates using BSTEM for risk-informed levee erosion countermeasure site selection and design.","conferenceTitle":"10th International Conference on Scour and Erosion (ICSE-10)","conferenceDate":"October 18-20, 2021","language":"English","publisher":"ASCE","collaboration":"US Army Corps of Engineers","usgsCitation":"Rivas, T.M., AuBuchon, J., Shidlovskaya, A., Langendoen, E., Work, P.A., Livsey, D.N., Timchenko, A., and Briaud, J., 2021, Risk-informed levee erosion countermeasure site selection and design in the Sacramento area part 1: Soil sampling, testing, and data processing, 10th International Conference on Scour and Erosion (ICSE-10), October 18-20, 2021, 11 p.","productDescription":"11 p.","ipdsId":"IP-117504","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":425813,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":425812,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.issmge.org/publications/publication/risk-informed-levee-erosion-countermeasure-site-selection-and-design-in-the-sacramento-area-part-2-probabilistic-numerical-simulation-of-bank-erosion","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","city":"Sacramento","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.62841736139654,\n 38.61545545028389\n ],\n [\n -121.62841736139654,\n 38.459433276808824\n ],\n [\n -121.38485568051728,\n 38.459433276808824\n ],\n [\n -121.38485568051728,\n 38.61545545028389\n ],\n [\n -121.62841736139654,\n 38.61545545028389\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rivas, Todd M.","contributorId":256771,"corporation":false,"usgs":false,"family":"Rivas","given":"Todd","email":"","middleInitial":"M.","affiliations":[{"id":51857,"text":"Sacramento District, United States Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":813234,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"AuBuchon, Jonathan","contributorId":256772,"corporation":false,"usgs":false,"family":"AuBuchon","given":"Jonathan","email":"","affiliations":[{"id":51859,"text":"Albuquerque District, United States Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":813235,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shidlovskaya, Anna","contributorId":256773,"corporation":false,"usgs":false,"family":"Shidlovskaya","given":"Anna","email":"","affiliations":[{"id":51860,"text":"Department of Civil Engineering, Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":813236,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Langendoen, Eddy J.","contributorId":256774,"corporation":false,"usgs":false,"family":"Langendoen","given":"Eddy J.","affiliations":[{"id":51861,"text":"USDA National Sedimentation Laboratory, Agricultural Research Service","active":true,"usgs":false}],"preferred":false,"id":813237,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Work, Paul A. 0000-0002-2815-8040 pwork@usgs.gov","orcid":"https://orcid.org/0000-0002-2815-8040","contributorId":168561,"corporation":false,"usgs":true,"family":"Work","given":"Paul","email":"pwork@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":813238,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Livsey, Daniel N. 0000-0002-2028-6128 dlivsey@usgs.gov","orcid":"https://orcid.org/0000-0002-2028-6128","contributorId":181870,"corporation":false,"usgs":true,"family":"Livsey","given":"Daniel","email":"dlivsey@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":813239,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Timchenko, Anna","contributorId":334257,"corporation":false,"usgs":false,"family":"Timchenko","given":"Anna","email":"","affiliations":[],"preferred":false,"id":895115,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Briaud, Jean-Louis","contributorId":334258,"corporation":false,"usgs":false,"family":"Briaud","given":"Jean-Louis","email":"","affiliations":[],"preferred":false,"id":895116,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ]}