The Laser In-situ Scattering and Transmissometry–Stream-Lined 2 (LISST-SL2) is a second-generation isokinetic river sediment monitoring device that uses laser diffraction to measure suspended-sediment concentration and particle size between 1 and 500 microns in 36 log-spaced bins at a point in a river every second. We compare this latest laser diffraction instrument for suspended-sediment sampling in rivers, with concurrent physical measurements of suspended sediment concentration (SSC) and particle size distribution (PSD) and velocity measurements by an acoustic Doppler current profiler (ADCP). We collected 136 LISST-SL2 samples along with 61 physical samples for SSC measurement, of which 24 physical samples included PSD measurement, during 2018-2020 from 11 sites in Washington and Virginia, USA. The required computed effective density (mass SSC/volumetric SSC) to convert volumetric SSC by the LISST-SL2 into mass SSC ranged from 0.5 to 5.4 g/mL, with a best-fit value of 2.05 g/mL, while the default value (typically assumed as 2.65 g/mL) is much higher. As the comparison also showed that the LISST-SL2 was not able to measure the finest sediment sizes in suspension, we propose some adjustments of the LISST-SL2 data with a supporting physical sample to account for these effective density and PSD issues. When doing so, we were able to reduce the RMSRE (Root Mean Square Relative Error) to 18% from 117% for SSC, and to 26% from 78% for PSD. LISST-SL2 velocities were generally higher than ADCP velocities with a 21% RMSRE. Our results and guidance will allow for more accurate sampling by the LISST-SL2, which has great potential for studying spatial and temporal variation of suspended sediment characteristics in rivers.
","conferenceTitle":"SEDHYD-2023, Sedimentation and Hydrologic Modeling Conference","conferenceDate":"May 8-12, 2023","conferenceLocation":"St. Louis, MO","language":"English","publisher":"SEDHYD","usgsCitation":"Ahammad, M., Czuba, J.A., and Curran, C.A., 2023, Assessment and guidance for using Laser In-situ Scattering and Transmissometry– Stream-Lined 2 (LISST-SL2), SEDHYD-2023, Sedimentation and Hydrologic Modeling Conference, St. Louis, MO, May 8-12, 2023, 3 p.","productDescription":"3 p.","ipdsId":"IP-148625","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":416244,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":416243,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.sedhyd.org/2023Program/s115.html","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ahammad, Muneer 0000-0002-3995-6507","orcid":"https://orcid.org/0000-0002-3995-6507","contributorId":301943,"corporation":false,"usgs":false,"family":"Ahammad","given":"Muneer","email":"","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":864382,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Czuba, Jonathan A. 0000-0002-9485-2604","orcid":"https://orcid.org/0000-0002-9485-2604","contributorId":301942,"corporation":false,"usgs":false,"family":"Czuba","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":864383,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Curran, Christopher A. 0000-0001-8933-416X ccurran@usgs.gov","orcid":"https://orcid.org/0000-0001-8933-416X","contributorId":1650,"corporation":false,"usgs":true,"family":"Curran","given":"Christopher","email":"ccurran@usgs.gov","middleInitial":"A.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":864384,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70241889,"text":"70241889 - 2023 - Reconstructing the geomorphic evolution and sediment budget history of a dynamic barrier island: Anclote Key, Florida","interactions":[],"lastModifiedDate":"2023-04-26T10:57:50.573576","indexId":"70241889","displayToPublicDate":"2023-04-15T10:27:20","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Reconstructing the geomorphic evolution and sediment budget history of a dynamic barrier island: Anclote Key, Florida","docAbstract":"Decadal to centennial variations in sediment availability are a primary driver of coastal change within barrier systems. Models help explore how barrier morphology relates to past changes in magnitude of sediment availability, but this requires insights and validation from field efforts. In this study, we investigate the progradation of Anclote Key via its morphostratigraphy, a presently dynamic barrier on the Central Florida Gulf Coast. The results of our field efforts, including vibracores, ground-penetrating radar scans, and optically stimulated luminescence dating of sediments, reveal that Anclote Key has gone through at least two phases of sustained island-scale progradation, with an intervening episode of transgression followed by relative stability. We show that these shifts were likely driven by relatively small changes in shoreface sediment availability owing to the island’s limited accommodation and suggest that Anclote Key may have been relatively isolated from the alongshore sediment supply of nearby barriers prior to the late 20th century.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The proceedings of the coastal sediments 2023","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Coastal Sediments 2023","conferenceDate":"April 11-15, 2023","conferenceLocation":"New Orleans, LA","language":"English","publisher":"World Scientific","doi":"10.1142/9789811275135_0001","usgsCitation":"Ciarletta, D.J., Miselis, J.L., Bernier, J., Forde, A.S., and Mahan, S.A., 2023, Reconstructing the geomorphic evolution and sediment budget history of a dynamic barrier island: Anclote Key, Florida, in The proceedings of the coastal sediments 2023, New Orleans, LA, April 11-15, 2023, p. 1-11, https://doi.org/10.1142/9789811275135_0001.","productDescription":"11 p.","startPage":"1","endPage":"11","ipdsId":"IP-147825","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":435369,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14L5SVG","text":"USGS data release","linkHelpText":"Sediment Data from Vibracores Collected in 2021 From Central Florida Gulf Coast Barrier Islands "},{"id":416242,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Anclote Key","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.85737379569262,\n 28.21884688232916\n ],\n [\n -82.85737379569262,\n 28.149050042661983\n ],\n [\n -82.83121753242753,\n 28.149050042661983\n ],\n [\n -82.83121753242753,\n 28.21884688232916\n ],\n [\n -82.85737379569262,\n 28.21884688232916\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2023-03-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Ciarletta, Daniel J. 0000-0002-8555-2239","orcid":"https://orcid.org/0000-0002-8555-2239","contributorId":256700,"corporation":false,"usgs":true,"family":"Ciarletta","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":868102,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miselis, Jennifer L. 0000-0002-4925-3979 jmiselis@usgs.gov","orcid":"https://orcid.org/0000-0002-4925-3979","contributorId":3914,"corporation":false,"usgs":true,"family":"Miselis","given":"Jennifer","email":"jmiselis@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":868103,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bernier, Julie 0000-0002-9918-5353 jbernier@usgs.gov","orcid":"https://orcid.org/0000-0002-9918-5353","contributorId":3549,"corporation":false,"usgs":true,"family":"Bernier","given":"Julie","email":"jbernier@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":868104,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Forde, Arnell S. 0000-0002-5581-2255 aforde@usgs.gov","orcid":"https://orcid.org/0000-0002-5581-2255","contributorId":376,"corporation":false,"usgs":true,"family":"Forde","given":"Arnell","email":"aforde@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":868105,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":868106,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70243603,"text":"70243603 - 2023 - Multiscale assessment of shoreline evolution in the US Pacific Northwest via a process-based model","interactions":[],"lastModifiedDate":"2023-05-15T15:26:47.999038","indexId":"70243603","displayToPublicDate":"2023-04-15T10:21:30","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Multiscale assessment of shoreline evolution in the US Pacific Northwest via a process-based model","docAbstract":"Prediction of shoreline evolution in coastal environments is critical to aid adaptation strategy planning for coastal communities. To perform reliable predictions, process-based shoreline change models have recently gained popularity in many applications. The study region here, Tillamook County, Oregon, on the US Pacific Northwest coast, has recently been experiencing elevated shoreline erosion rates. The inherent uncertainties driving coastal change, e.g., sea-level rise and changing patterns of storminess, emphasize the need for robust shoreline evolution predictions in this region. To this end, we applied CoSMoS-COAST, an ensemble data-assimilated shoreline model that simulates short- and long-term shoreline change processes. We calibrated and validated the model using the hindcasted wave time series and observed shoreline positions and found a strong correlation between the number of observed shoreline positions and the model’s hindcasting skill. Moreover, results revealed an alongshore close-to-uniform shoreline change rate in the past several years, mainly driven by short-term, wave-driven processes. So far CoSMoS-COAST has performed satisfactorily with the spatially sparse supply of quality historical shoreline positions in our application. Moreover, this model resolves various components (e.g., short- and long-term processes) in the shoreline change sufficiently. This study represents a starting point in the long-term projection of shoreline evolution throughout the entire PNW (Oregon and Washington) coastline since Tillamook County features the majority of the coastal settings present in other coastal regions in the PNW.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The proceedings of the coastal sediments 2023","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Coastal Sediments 2023","conferenceDate":"April 11-15, 2023","conferenceLocation":"New Orleans, LA","language":"English","publisher":"Coastal Sediments Proceedings, World Scientific","doi":"10.1142/9789811275135_0133","usgsCitation":"Taherkhani, M., Leung, M., Ruggiero, P., Vitousek, S., and Allan, J., 2023, Multiscale assessment of shoreline evolution in the US Pacific Northwest via a process-based model, in The proceedings of the coastal sediments 2023, New Orleans, LA, April 11-15, 2023, p. 1437-1451, https://doi.org/10.1142/9789811275135_0133.","productDescription":"15 p.","startPage":"1437","endPage":"1451","ipdsId":"IP-150388","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science 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Mohsen","contributorId":223951,"corporation":false,"usgs":false,"family":"Taherkhani","given":"Mohsen","affiliations":[{"id":18137,"text":"University of Illinois at Chicago","active":true,"usgs":false}],"preferred":false,"id":872574,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leung, Meredith","contributorId":305379,"corporation":false,"usgs":false,"family":"Leung","given":"Meredith","email":"","affiliations":[{"id":37105,"text":"Oregon State Unversity","active":true,"usgs":false}],"preferred":false,"id":872575,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruggiero, Peter","contributorId":15709,"corporation":false,"usgs":false,"family":"Ruggiero","given":"Peter","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":872576,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vitousek, Sean 0000-0002-3369-4673 svitousek@usgs.gov","orcid":"https://orcid.org/0000-0002-3369-4673","contributorId":149065,"corporation":false,"usgs":true,"family":"Vitousek","given":"Sean","email":"svitousek@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":872577,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allan, Jonathan","contributorId":46847,"corporation":false,"usgs":false,"family":"Allan","given":"Jonathan","affiliations":[{"id":7198,"text":"Oregon Department Geology and Mineral Industries","active":true,"usgs":false}],"preferred":false,"id":872578,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70243981,"text":"70243981 - 2023 - UAS mapping of surface roughness and digital grain size to assess pre-dam removal baseline conditions along the mainstem Klamath River corridor below Iron Gate Dam, California","interactions":[],"lastModifiedDate":"2023-05-30T15:27:47.53012","indexId":"70243981","displayToPublicDate":"2023-04-15T10:17:35","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"UAS mapping of surface roughness and digital grain size to assess pre-dam removal baseline conditions along the mainstem Klamath River corridor below Iron Gate Dam, California","docAbstract":"Surface roughness and grain size in river corridors are fundamental indicators of river hydraulics. In hydraulic models for coarse-grained rivers, the roughness parameter is often assumed to be related to a representative grain diameter. This paper documents a workflow for using aerial imagery and Structure-from-Motion (SfM) photogrammetry to map surface roughness and digital grain size (DGS) on gravel bars. In June 2022, an Uncrewed Aerial System (UAS) was used to collect aerial imagery at 7 study sites distributed longitudinally downstream from Iron Gate Dam along the mainstem Klamath River. The study sites were selected for repeat monitoring as part of a larger effort to monitor post-dam removal response of the Klamath River to a temporary increase in fine-sediment flux. Advantages of SfM, in comparison to other methods used to acquire high-resolution topography data, is the ability to generate topographic data and orthophotos for DGS analysis from imagery easily collected at multiple spatial scales. UAS imagery was collected at three altitudes (62-m, 15-m, and 4-m), and a workflow for creating georeferenced surface roughness and grain size maps at the patch (100 m2) to site-scale (100,000 m2) was developed. The multi-scale UAS imagery was post-processed, and Digital Surface Models (DSMs) and orthophotos were exported, using AgiSoft Metashape Professional and standardized SfM methods. The DSMs were detrended using an automated tools implemented in ArcGIS to remove bedform gradients and the reach slope. Surface roughness maps were created using the standard deviation of detrended elevations. Plots for DGS analysis were randomly selected from the orthophotos, and DGS was estimated using a wavelet-based method, which minimizes surface disturbance and does not require calibration. For the 62-m survey, the grid-cell resolutions for the DSMs and surface roughness maps was 4 cm, and the orthophotos have a resolution of 2 cm. For the 15-m survey, the resolution of the DSMs and surface roughness maps was 8 mm, and the orthophotos have a resolution of 4 mm. For the 4-m survey, the resolution of the DSMs and surface roughness maps was 3 mm, and the orthophotos have a resolution of 2 mm. The surface roughness maps for the 62-m, 15-m, 4-m surveys provided surface roughness maps suitable for assessing variations in roughness heights across the study sites. The 15-m survey also provided orthophotos suitable for heads-up digitizing of coarse- and fine-grained facies. The 4-m survey provided orthophotos with the grains clearly resolved and suitable for DGS. The wavelet-based DGS analysis used in this study is most appropriate for assessing relative differences in the grain size distributions across a single site or among multiple sites, instead of absolute estimates. This workflow produced a series of digital products to support multi-scale investigations at resolutions appropriate for detecting textural changes in grain size on gravel bars and for producing roughness maps to define roughness parameters for hydraulic modeling.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"SEDHYD 2023","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"SEDHYD-2023, Sedimentation and Hydrologic Modeling Conference","conferenceDate":"May 8-12, 2023","conferenceLocation":"St Louis, MO","language":"English","publisher":"SEDHYD","usgsCitation":"Curtis, J., Taylor, J.J., Haluska, P.A., Estrada, C.L., Bartley, M.J., and Keller, S.N., 2023, UAS mapping of surface roughness and digital grain size to assess pre-dam removal baseline conditions along the mainstem Klamath River corridor below Iron Gate Dam, California, in SEDHYD 2023, St Louis, MO, May 8-12, 2023, 15 p.","productDescription":"15 p.","ipdsId":"IP-148219","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":417537,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":417536,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.sedhyd.org/2023Program/s189.html","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"Iron Gate Dam, Klamath River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.82716712247068,\n 41.992616911600805\n ],\n [\n -123.82716712247068,\n 41.20457221167706\n ],\n [\n -122.51210776909333,\n 41.20457221167706\n ],\n [\n -122.51210776909333,\n 41.992616911600805\n ],\n [\n -123.82716712247068,\n 41.992616911600805\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Curtis, Jennifer 0000-0001-7766-994X","orcid":"https://orcid.org/0000-0001-7766-994X","contributorId":212727,"corporation":false,"usgs":true,"family":"Curtis","given":"Jennifer","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":874001,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, Jacob John 0009-0006-0545-0432","orcid":"https://orcid.org/0009-0006-0545-0432","contributorId":305844,"corporation":false,"usgs":true,"family":"Taylor","given":"Jacob","email":"","middleInitial":"John","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":874002,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haluska, Patrick Alan 0000-0001-8810-4338","orcid":"https://orcid.org/0000-0001-8810-4338","contributorId":305848,"corporation":false,"usgs":true,"family":"Haluska","given":"Patrick","email":"","middleInitial":"Alan","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":874005,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Estrada, Christian Luis 0009-0007-1999-2117","orcid":"https://orcid.org/0009-0007-1999-2117","contributorId":305846,"corporation":false,"usgs":true,"family":"Estrada","given":"Christian","email":"","middleInitial":"Luis","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":874004,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bartley, Michael J. 0009-0009-5313-7952","orcid":"https://orcid.org/0009-0009-5313-7952","contributorId":305845,"corporation":false,"usgs":true,"family":"Bartley","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":874003,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Keller, Sierra Noel 0009-0003-7424-100X","orcid":"https://orcid.org/0009-0003-7424-100X","contributorId":305850,"corporation":false,"usgs":true,"family":"Keller","given":"Sierra","email":"","middleInitial":"Noel","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":874006,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70241864,"text":"70241864 - 2023 - Book review: Beyond the North American model of wildlife conservation: From lethal to compassionate conservation. Anja Heister. 2022. Palgrave Macmillan, Cham, Switzerland. 273 pp. $139.99 hardcover. ISBN: 978-3031141485","interactions":[],"lastModifiedDate":"2023-07-24T16:34:42.335271","indexId":"70241864","displayToPublicDate":"2023-04-15T10:12:57","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Book review: Beyond the North American model of wildlife conservation: From lethal to compassionate conservation. Anja Heister. 2022. Palgrave Macmillan, Cham, Switzerland. 273 pp. $139.99 hardcover. ISBN: 978-3031141485","docAbstract":"No abstract available.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22415","usgsCitation":"Organ, J.F., 2023, Book review: Beyond the North American model of wildlife conservation: From lethal to compassionate conservation. Anja Heister. 2022. Palgrave Macmillan, Cham, Switzerland. 273 pp. $139.99 hardcover. ISBN: 978-3031141485: Journal of Wildlife Management, v. 87, e22415, 5 p., https://doi.org/10.1002/jwmg.22415.","productDescription":"e22415, 5 p.","ipdsId":"IP-149465","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":443834,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.22415","text":"Publisher Index Page"},{"id":415922,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"87","noUsgsAuthors":false,"publicationDate":"2023-04-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Organ, John F. 0000-0002-0959-0639 jorgan@usgs.gov","orcid":"https://orcid.org/0000-0002-0959-0639","contributorId":189047,"corporation":false,"usgs":true,"family":"Organ","given":"John","email":"jorgan@usgs.gov","middleInitial":"F.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":868009,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70242612,"text":"70242612 - 2023 - Effects of climate change on the hydrologic and hydraulic response of the Caulks Creek basin, Wildwood, Missouri","interactions":[],"lastModifiedDate":"2023-04-25T15:17:14.85171","indexId":"70242612","displayToPublicDate":"2023-04-15T10:04:19","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Effects of climate change on the hydrologic and hydraulic response of the Caulks Creek basin, Wildwood, Missouri","docAbstract":"The city of Wildwood, Missouri, has identified fluvial erosion along Caulks Creek as a management priority due to potential effects to infrastructure and property. The upper and middle reaches of Caulks Creek flow intermittently (only immediately after precipitation), whereas the lower reach flows perennially. This study examines the effects of climate change and added storage on the hydrologic and hydraulic response of the Caulks Creek Basin to design storms. The study uses hydrologic (Hydrologic Engineering Center Hydrologic Modeling System – HEC-HMS) and hydraulic (Hydrologic Engineering Center River Analysis System – HEC-RAS) models furnished by the Federal Emergency Management Agency (FEMA). HEC-HMS simulations were used to quantify the peak, volume, and timing of the flow response to a suite of design storms under both normal and wet antecedent conditions and for both the existing storage structures and new storage in the basin. The suite of design storms included all combinations of the following: (a) storm durations: 6-hour and 24-hour, (b) annual exceedance probabilities: 0.5, 0.2, 0.1, 0.04, 0.02, and 0.01, (c) climate conditions: current, 30-year, and 80-year predictions of future climate from the Coupled Model Intercomparison Project (CMIP) Climate Data Processing Tool. Additionally, for a selection of scenarios, results from the HEC-HMS simulations were used as boundary conditions for two-dimensional (2D) HEC-RAS simulations aimed at understanding how the distribution of velocity, shear stress, and stream power throughout the stream may be affected by projected changes in climate.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"SEDHYD 2023","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"SEDHYD-2023, Sedimentation and Hydrologic Modeling Conference","conferenceDate":"May 8-12, 2023","conferenceLocation":"St. Louis, MO","language":"English","usgsCitation":"LeRoy, J.Z., Heimann, D.C., Burk, T.J., Cigrand, C.V., and Hix, K.D., 2023, Effects of climate change on the hydrologic and hydraulic response of the Caulks Creek basin, Wildwood, Missouri, in SEDHYD 2023, St. Louis, MO, May 8-12, 2023, 5 p.","productDescription":"5 p.","ipdsId":"IP-148407","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":416241,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":416240,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.sedhyd.org/2023Program/s26.html","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Missouri","city":"Wildwood","otherGeospatial":"Caulks Creek basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -90.7,\n 38.6667\n ],\n [\n -90.7,\n 38.566667\n ],\n [\n -90.55,\n 38.566667\n ],\n [\n -90.55,\n 38.6667\n ],\n [\n -90.7,\n 38.6667\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"LeRoy, Jessica Z. 0000-0003-4035-6872 jzinger@usgs.gov","orcid":"https://orcid.org/0000-0003-4035-6872","contributorId":174534,"corporation":false,"usgs":true,"family":"LeRoy","given":"Jessica","email":"jzinger@usgs.gov","middleInitial":"Z.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":869109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heimann, David C. 0000-0003-0450-2545 dheimann@usgs.gov","orcid":"https://orcid.org/0000-0003-0450-2545","contributorId":3822,"corporation":false,"usgs":true,"family":"Heimann","given":"David","email":"dheimann@usgs.gov","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":869110,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burk, Tyler Joseph 0000-0002-9142-1454","orcid":"https://orcid.org/0000-0002-9142-1454","contributorId":304060,"corporation":false,"usgs":true,"family":"Burk","given":"Tyler","email":"","middleInitial":"Joseph","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":869111,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cigrand, Charles V. 0000-0002-4177-7583","orcid":"https://orcid.org/0000-0002-4177-7583","contributorId":201575,"corporation":false,"usgs":true,"family":"Cigrand","given":"Charles","email":"","middleInitial":"V.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":869112,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hix, Kyle D. 0000-0002-6316-7436","orcid":"https://orcid.org/0000-0002-6316-7436","contributorId":260630,"corporation":false,"usgs":true,"family":"Hix","given":"Kyle","email":"","middleInitial":"D.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":869113,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70232963,"text":"70232963 - 2023 - Mode and provenance of sediment deposition on a transgressive marsh","interactions":[],"lastModifiedDate":"2025-05-13T16:02:59.729442","indexId":"70232963","displayToPublicDate":"2023-04-15T09:59:55","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Mode and provenance of sediment deposition on a transgressive marsh","docAbstract":"In this study, we use foraminifera as environmental indicators to aid in computing the historical volumetric inputs of estuarine sediments to adjacent marsh. These data can help assess the importance of estuarine sediment inputs to marsh accretion. The Grand Bay system (GBS), located on the southern coast of Alabama and Mississippi, has been described as a “self-cannibalizing bay-marsh complex” due to the disproportionately large amount of suspended sediment exported from the GBS relative to the amount of sediment imported into tidal channels and available to the marsh. Despite this sediment limitation in the marshes, mass sediment budgets along shoreline-proximal marsh sites suggest depositional fluxes on the marsh are nearly equivalent to erosional losses at decadal scales. Geochronologies and foraminiferal census data for two shore-normal transects show that estuarine sediment contributes significant portions (28-65%) of this depositional flux. Contrast in shoreline morphology (i.e., orientation, irregularity, and exposure) and adjacent environments (i.e., tidal creeks and mud flats) may influence the proportion of estuarine sediment delivered to marsh. Improvements of sediment provenance tracers in these environments will continually improve the understanding of sediment reworking and transport in transgressive marsh-estuarine systems such as GBS and the role they play in marsh resiliency to sea-level change.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The proceedings of the coastal sediments 2023","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Coastal Sediments 2023","conferenceDate":"April 11-15, 2023","conferenceLocation":"New Orleans, LA","language":"English","publisher":"World Scientific","doi":"10.1142/9789811275135_0132","usgsCitation":"Smith, C., Ellis, A.M., and Smith, K., 2023, Mode and provenance of sediment deposition on a transgressive marsh, in The proceedings of the coastal sediments 2023, New Orleans, LA, April 11-15, 2023, p. 1426-1436, https://doi.org/10.1142/9789811275135_0132.","productDescription":"11 p.","startPage":"1426","endPage":"1436","ipdsId":"IP-142773","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":416383,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Mississippi","otherGeospatial":"Grand Bay system","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -88.0850979597876,\n 30.444219651609245\n ],\n [\n -88.83426274628478,\n 30.444219651609245\n ],\n [\n -88.83426274628478,\n 30.223813269875876\n ],\n [\n -88.0850979597876,\n 30.223813269875876\n ],\n [\n -88.0850979597876,\n 30.444219651609245\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2023-03-23","publicationStatus":"PW","contributors":{"authors":[{"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":846572,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":846571,"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":846573,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70244216,"text":"70244216 - 2023 - Observations and morphodynamic modeling of decadal-scale morphologic change in estuaries under sea level rise","interactions":[],"lastModifiedDate":"2023-06-07T15:01:16.220024","indexId":"70244216","displayToPublicDate":"2023-04-15T09:52:51","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Observations and morphodynamic modeling of decadal-scale morphologic change in estuaries under sea level rise","docAbstract":"Sea level rise is expected to affect coastal areas all around the world, including the estuarine environment. New bathymetry collected in 2014 provided a unique opportunity to test the modeling of Elmilady et al. (2019), who presented a morphodynamic DELFT3D model of San Pablo Bay, California, that included detailed tidal water movement, wind-wave action, sediment transport, and resulting bed level updates. Their hindcasts (1856–1983) showed significant skill in reproducing observed patterns and volumes of deposition and erosion in San Pablo Bay. Their forecasts (1983–2100) showed that sea level rise results in increased deposition, loss of intertidal flats because of drowning, and a greater channel volume. The model, in general, forecasted observed trends in change from 1983 to 2014. Morphodynamic modeling is a promising approach for identifying the effect of sea level rise on estuarine environments.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The proceedings of the coastal sediments 2023","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Coastal Sediments 2023","conferenceDate":"April 11-15, 2023","conferenceLocation":"New Orleans, LA","language":"English","publisher":"World Scientific","doi":"10.1142/9789811275135_0049","usgsCitation":"Jaffe, B.E., Elmilady, H., Van der Wegen, M., and Fregoso, T.A., 2023, Observations and morphodynamic modeling of decadal-scale morphologic change in estuaries under sea level rise, in The proceedings of the coastal sediments 2023, New Orleans, LA, April 11-15, 2023, p. 526-531, https://doi.org/10.1142/9789811275135_0049.","productDescription":"6 p.","startPage":"526","endPage":"531","ipdsId":"IP-142809","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":417916,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Pablo Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.25473719315042,\n 38.226093302720614\n ],\n [\n -122.52909990521897,\n 38.226093302720614\n ],\n [\n -122.52909990521897,\n 37.9583742881144\n ],\n [\n -122.25473719315042,\n 37.9583742881144\n ],\n [\n -122.25473719315042,\n 38.226093302720614\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2023-03-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Jaffe, Bruce E. 0000-0002-8816-5920 bjaffe@usgs.gov","orcid":"https://orcid.org/0000-0002-8816-5920","contributorId":2049,"corporation":false,"usgs":true,"family":"Jaffe","given":"Bruce","email":"bjaffe@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":874893,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elmilady, Hesham 0000-0001-9435-0500","orcid":"https://orcid.org/0000-0001-9435-0500","contributorId":306156,"corporation":false,"usgs":false,"family":"Elmilady","given":"Hesham","email":"","affiliations":[{"id":40834,"text":"IHE Delft","active":true,"usgs":false}],"preferred":false,"id":874894,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van der Wegen, Mick","contributorId":191095,"corporation":false,"usgs":false,"family":"Van der Wegen","given":"Mick","email":"","affiliations":[],"preferred":false,"id":874895,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fregoso, Theresa A. 0000-0001-7802-5812 tfregoso@usgs.gov","orcid":"https://orcid.org/0000-0001-7802-5812","contributorId":2571,"corporation":false,"usgs":true,"family":"Fregoso","given":"Theresa","email":"tfregoso@usgs.gov","middleInitial":"A.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":874896,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70242874,"text":"70242874 - 2023 - An assessment of Kootenai River channel migration and riparian habitat encroachment","interactions":[],"lastModifiedDate":"2023-04-25T14:47:26.844943","indexId":"70242874","displayToPublicDate":"2023-04-15T09:43:35","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"An assessment of Kootenai River channel migration and riparian habitat encroachment","docAbstract":"The lower reach of the Kootenai River in northern Idaho is dominated by large and actively migrating meander bends. Flow conditions, altered by both upstream flow reductions and by downstream backwater effects, are believed to be important geomorphological drivers throughout the reach. For example, Trout Creek Peninsula, located in an area of active meander migration, is undergoing continued bank erosion that has the potential to capture South Fork Trout Creek and result in an alteration of the Kootenai River active channel. Although chute-cutoffs are natural and common in meandering channels and can increase habitat diversity, avulsion events on regulated rivers with heavily used floodplains can also lead to loss of land and habitat. A chute-cutoff at Trout Creek Peninsula would create an island and potentially result in large volumes of erosion and deposition on private and tribal land. This could result in decreased riparian habitat and private land access along Trout Creek. To address landowner risk we refine estimates of bank erosion rates and the potential timeline for the capture of Trout Creek to inform stakeholder decisions about monitoring or managing bank erosion processes. Historical imagery, airborne and boat-mounted LiDAR, and repeat bathymetric surveys suggest that localized areas of high short-term bank erosion rates have increased to about 15 ft/yr near South Fork Trout Creek and the possibility of a chute cutoff event by 2043. Changes in bank erosion rates over time were compared to flow records to better understand how the complex flow regulation in this reach might be impacting geomorphic processes.","conferenceTitle":"SEDHYD-2023, Sedimentation and Hydrologic Modeling Conference","conferenceDate":"May 8-12, 2023","conferenceLocation":"St. Louis, MO","language":"English","publisher":"SEDHYD","usgsCitation":"Dudunake, T., Kenworthy, M.K., and Daniels, M., 2023, An assessment of Kootenai River channel migration and riparian habitat encroachment, SEDHYD-2023, Sedimentation and Hydrologic Modeling Conference, St. Louis, MO, May 8-12, 2023, 13 p.","productDescription":"13 p.","ipdsId":"IP-147985","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":416238,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":416098,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.sedhyd.org/2023Program/s202.html"}],"country":"United States","state":"Idaho","otherGeospatial":"Kootenai River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.62264390095189,\n 48.95927170826849\n ],\n [\n -116.62264390095189,\n 48.7736831652511\n ],\n [\n -116.29349365125883,\n 48.7736831652511\n ],\n [\n -116.29349365125883,\n 48.95927170826849\n ],\n [\n -116.62264390095189,\n 48.95927170826849\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dudunake, Taylor 0000-0001-7650-2419 tdudunake@usgs.gov","orcid":"https://orcid.org/0000-0001-7650-2419","contributorId":191564,"corporation":false,"usgs":true,"family":"Dudunake","given":"Taylor","email":"tdudunake@usgs.gov","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":870080,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kenworthy, Megan Kearney 0000-0001-7108-3016","orcid":"https://orcid.org/0000-0001-7108-3016","contributorId":304286,"corporation":false,"usgs":true,"family":"Kenworthy","given":"Megan","email":"","middleInitial":"Kearney","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":870081,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Daniels, Matthew","contributorId":303927,"corporation":false,"usgs":false,"family":"Daniels","given":"Matthew","email":"","affiliations":[{"id":65936,"text":"Assistant Director, White House OSTP","active":true,"usgs":false}],"preferred":false,"id":870082,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70243646,"text":"70243646 - 2023 - Examining terrestrial and subterranean sediment sources and transport processes in an urban sewershed with an entirely buried stream network, Washington, D.C., United States","interactions":[],"lastModifiedDate":"2023-06-12T14:51:29.812761","indexId":"70243646","displayToPublicDate":"2023-04-15T09:42:44","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Examining terrestrial and subterranean sediment sources and transport processes in an urban sewershed with an entirely buried stream network, Washington, D.C., United States","docAbstract":"Excessive fine-grained sediment runoff due to anthropogenic activities is a major environmental concern for watersheds worldwide, especially so for urban areas such as Washington, D.C. Dated grey infrastructure, i.e., the network of buried pipes and reservoirs managing water resources, can amplify existing issues with sediment runoff and associated pollutants. This infrastructure, which is generally designed to quickly transport stormwaters away from urban areas, contributes to urban stream syndrome. Recent studies have suggested aging subterranean infrastructure may be an unaccounted-for source of sediments. The composition of this possible sediment source, and the extent to which it contributes to urban sediment runoff, is poorly understood. Our study seeks to examine sediment sources and transport processes in an urban watershed with an entirely buried drainage network using sediment fingerprinting, with specific attention paid to differentiating between terrestrial and subterranean sources. We demonstrate here multiple novel approaches to sampling subterranean sources including augering and entering the buried drainage network itself. 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Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":872707,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Conaway, Christopher H. 0000-0002-0991-033X","orcid":"https://orcid.org/0000-0002-0991-033X","contributorId":201932,"corporation":false,"usgs":true,"family":"Conaway","given":"Christopher H.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":872710,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lane, Cecilia","contributorId":305405,"corporation":false,"usgs":false,"family":"Lane","given":"Cecilia","affiliations":[{"id":66226,"text":"DC Department of Energy and the Environment","active":true,"usgs":false}],"preferred":false,"id":872708,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pilat, David","contributorId":305406,"corporation":false,"usgs":false,"family":"Pilat","given":"David","email":"","affiliations":[{"id":66226,"text":"DC Department of Energy and the Environment","active":true,"usgs":false}],"preferred":false,"id":872709,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70243050,"text":"70243050 - 2023 - Carbonate sediment transport across coral reefs: A comparison of fringing vs. barrier reefs","interactions":[],"lastModifiedDate":"2023-05-25T15:18:20.941607","indexId":"70243050","displayToPublicDate":"2023-04-15T09:33:28","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Carbonate sediment transport across coral reefs: A comparison of fringing vs. barrier reefs","docAbstract":"Considerable uncertainty remains in the budgets of carbonate sediment on reef lined coasts, particularly with respect to the supply of sediment to a reef flat that is then transported throughout a reef system. In this study, we re-examine two recent studies, one on a barrier reef bounded by channels that incise the reef, and one on a fringing reef without channels. Results indicate that the presence of channels results in a circulation regime that promotes not only the onshore sediment flux across the reef flat, but also upslope transport of sediment from the fore reef onto the reef flat. Data from these experiments suggest that when channels are present in the reef flat, the hydrodynamics of these reef systems favor the transport the transport of sediment up the fore reef. This outcome has implications for the design of potential reef restoration efforts intended to protect shorelines.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The proceedings of the coastal sediments 2023","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Coastal Sediments 2023","conferenceDate":"April 11-15, 2023","conferenceLocation":"New Orleans, LA","language":"English","publisher":"World Scientific","doi":"10.1142/9789811275135_0150","usgsCitation":"Rosenberger, K.J., Storlazzi, C.D., Cheriton, O.M., Buckley, M.L., Andrew Pomeroy, Lowe, R., and Hansen, J., 2023, Carbonate sediment transport across coral reefs: A comparison of fringing vs. barrier reefs, in The proceedings of the coastal sediments 2023, New Orleans, LA, April 11-15, 2023, p. 1621-1632, https://doi.org/10.1142/9789811275135_0150.","productDescription":"12 p.","startPage":"1621","endPage":"1632","ipdsId":"IP-147362","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":416440,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2023-03-23","publicationStatus":"PW","contributors":{"authors":[{"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":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":870808,"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":870809,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":870810,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buckley, Mark L. 0000-0002-1909-4831","orcid":"https://orcid.org/0000-0002-1909-4831","contributorId":203481,"corporation":false,"usgs":true,"family":"Buckley","given":"Mark","email":"","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":870811,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Andrew Pomeroy","contributorId":304526,"corporation":false,"usgs":false,"family":"Andrew Pomeroy","affiliations":[{"id":13336,"text":"University of Melbourne","active":true,"usgs":false}],"preferred":false,"id":870812,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lowe, Ryan","contributorId":304527,"corporation":false,"usgs":false,"family":"Lowe","given":"Ryan","email":"","affiliations":[{"id":16662,"text":"University of Western Australia","active":true,"usgs":false}],"preferred":false,"id":870813,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hansen, Jeff","contributorId":304528,"corporation":false,"usgs":false,"family":"Hansen","given":"Jeff","email":"","affiliations":[{"id":16662,"text":"University of Western Australia","active":true,"usgs":false}],"preferred":false,"id":870814,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70242969,"text":"70242969 - 2023 - Contributions to uncertainty in runup forecasts","interactions":[],"lastModifiedDate":"2025-03-21T13:53:32.806654","indexId":"70242969","displayToPublicDate":"2023-04-15T09:33:01","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Contributions to uncertainty in runup forecasts","docAbstract":"The U.S. Geological Survey (USGS) provides operational forecasts of total water levels (TWL) and coastal change. 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The results indicated sheltered sites are impacted by terrestrial sediment from single stream mouths, with most of the sediment delivered within hours of a flood event. Once this sediment enters the nearshore, it settles out and remains on the reef for a prolonged period. In contrast, the coral reefs along “open” sections of coastline are more exposed to waves and terrestrial sediment from multiple stream sources and the terrestrial sediment can rarely settle but instead remains in suspension, causing turbidity. These analyses underscore the importance of understanding how hydro-dynamics can lead to different sediment dynamics on coral reefs in the same region.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The proceedings of the coastal sediments 2023","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Coastal Sediments 2023","conferenceDate":"April 11-15, 2023","conferenceLocation":"New Orleans, LA","language":"English","publisher":"World Scientific","doi":"10.1142/9789811275135_0151","usgsCitation":"Storlazzi, C.D., van der Heijden, L., Cheriton, O.M., McCall, R.T., and Winter, G., 2023, Modeling fluvial sediment plumes: Impacts to coral reefs, in The proceedings of the coastal sediments 2023, New Orleans, LA, April 11-15, 2023, p. 1633-1644, https://doi.org/10.1142/9789811275135_0151.","productDescription":"12 p.","startPage":"1633","endPage":"1644","ipdsId":"IP-139394","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":416378,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2023-03-23","publicationStatus":"PW","contributors":{"authors":[{"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":856904,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van der Heijden, Luuk","contributorId":299030,"corporation":false,"usgs":false,"family":"van der Heijden","given":"Luuk","affiliations":[{"id":36257,"text":"Deltares","active":true,"usgs":false}],"preferred":false,"id":856905,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":856906,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCall, Robert T.","contributorId":148986,"corporation":false,"usgs":false,"family":"McCall","given":"Robert","email":"","middleInitial":"T.","affiliations":[{"id":12474,"text":"Deltares, Netherlands","active":true,"usgs":false}],"preferred":false,"id":856907,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Winter, Gundula","contributorId":204988,"corporation":false,"usgs":false,"family":"Winter","given":"Gundula","email":"","affiliations":[],"preferred":false,"id":856908,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70243278,"text":"70243278 - 2023 - Sand- and gravel-trapping efficiencies derived for four types of pressure-difference bedload samplers","interactions":[],"lastModifiedDate":"2023-05-05T14:49:51.798384","indexId":"70243278","displayToPublicDate":"2023-04-15T09:31:22","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Sand- and gravel-trapping efficiencies derived for four types of pressure-difference bedload samplers","docAbstract":"Bedload-trapping efficiencies (coefficients) were derived for four types of pressure-difference bedload samplers at the St. Anthony Falls Laboratory, University of Minnesota during the first two phases of flume experiments in January-March, 2006, referred to as “StreamLab06.” The bedload-sampler research component was part of a series of community-led, large-scale laboratory experiments performed under the auspices of the National Center for Earth-surface Dynamics (Marr and others, 2010; Singh and others, 2013; Gray and others, 2010, 2019, 2021).\n\nA bedload-trapping coefficient is the ratio of the mass of bedload – sediment transported by rolling, sliding, or skipping in close contact with the riverbed – collected by the deployed sampler, to the mass of bedload that would have passed through the width of the sample section at the same time but in the absence of the sampler (Hubbell, 1964). A trapping coefficient of 1.0 would mean the mass of every particle-size fraction of sediment in the collected sample is in the same proportion as those in transport. \n\nFor the 2006 experiments, a Helley-Smith (intake-nozzle width of 76.2 millimeter [mm] and height of 76.2 mm), BLH-84 (76.2 mm × 76.2 mm), Elwha (203 mm × 102 mm) and Toutle River-2 (TR-2; 305 mm × 152 mm) were repeatedly deployed by a hand-held rod with a stabilizing tether line in the main flume. Six combinations of bedload sampler types and bed compositions were tested: The BLH-84, Elwha, and Helley-Smith samplers were deployed on a sand bed (d50 = 1.0 mm) during five steady flows ranging from 2.0-3.6 cubic meters per second (m3/s). The BLH-84, Elwha, and TR-2 samplers were deployed on a gravel bed (d50 = 11.2 mm) at four steady flows ranging from 4.0-5.5 m3/s.\n \nBedload samples collected manually as part of 37 trials – each associated with a unique combination of a bedload sampler type, steady-flow rate, and bed composition – and associated ancillary data were used to calculate 2,030 instantaneous, at-a-point bedload-transport rates (1,000 as part of 19 sand-bed trials, and 1,030 as part of 27 gravel-bed trials.). Five contiguous weigh drums embedded in a slot spanning the width of the flume independently and continuously weighed captured bedload on approximately 1.1-second intervals. Approximately 3.8-million individual weigh-drum time-series measurements were recorded during the bedload sampler experiments (Groten and Gray, 2021; Gray and others, 2021). \n ","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"SEDHYD 2023","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"SEDHYD-2023, Sedimentation and Hydrologic Modeling Conference","conferenceDate":"May 8-12, 2023","conferenceLocation":"St. Louis, MO","language":"English","publisher":"SEDHYD","usgsCitation":"Gray, J., Groten, J.T., Czuba, J.A., Schwarz, G.E., Strom, K., and Diplas, P., 2023, Sand- and gravel-trapping efficiencies derived for four types of pressure-difference bedload samplers, in SEDHYD 2023, St. Louis, MO, May 8-12, 2023, 4 p.","productDescription":"4 p.","ipdsId":"IP-151010","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":416760,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":416744,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.sedhyd.org/2023Program/s169.html","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gray, John","contributorId":304862,"corporation":false,"usgs":false,"family":"Gray","given":"John","affiliations":[{"id":66176,"text":"Gray Sedimentology","active":true,"usgs":false}],"preferred":false,"id":871781,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Groten, Joel T. 0000-0002-0441-8442 jgroten@usgs.gov","orcid":"https://orcid.org/0000-0002-0441-8442","contributorId":173464,"corporation":false,"usgs":true,"family":"Groten","given":"Joel","email":"jgroten@usgs.gov","middleInitial":"T.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":871782,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Czuba, Jonathan A. 0000-0002-9485-2604","orcid":"https://orcid.org/0000-0002-9485-2604","contributorId":301942,"corporation":false,"usgs":false,"family":"Czuba","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":871783,"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":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":871784,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Strom, Kyle","contributorId":304863,"corporation":false,"usgs":false,"family":"Strom","given":"Kyle","email":"","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":871785,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Diplas, Panayiotis","contributorId":304864,"corporation":false,"usgs":false,"family":"Diplas","given":"Panayiotis","email":"","affiliations":[{"id":16160,"text":"Lehigh University","active":true,"usgs":false}],"preferred":false,"id":871786,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70238846,"text":"70238846 - 2023 - Changes in sediment transport processes at the Chandeleur Islands, Louisiana in response to storm impact","interactions":[],"lastModifiedDate":"2023-04-26T15:11:06.150988","indexId":"70238846","displayToPublicDate":"2023-04-15T09:25:36","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Changes in sediment transport processes at the Chandeleur Islands, Louisiana in response to storm impact","docAbstract":"We analyzed elevation changes at the northern Chandeleur Islands, Louisiana, to quantify sediment fluxes and assess sediment transport processes over two time periods (1920 – 2007 and 2007 – 2015). Wave-driven alongshore sediment transport is the predominant fair-weather process, whereas storms transport sediment across the island platform and promote shoreline retreat. Major storm impacts, where storm surge exceeds island elevation, severely erode the island platform and remove sediment from the system. During periods of recovery, onshore bar migration and welding contribute to subaerial island growth. The analyses show changes in dominant transport processes type and dominance relative to storm response over the two time periods. These results provide understanding on the sediment transport processes that drive the geomorphic evolution of barrier islands which is crucial for predicting future resilience.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The proceedings of the coastal sediments 2023","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Coastal Sediments 2023","conferenceDate":"April 11-15, 2023","conferenceLocation":"New Orleans, LA","language":"English","publisher":"World Scientific","doi":"10.1142/9789811275135_0003","usgsCitation":"Flocks, J., and Bernier, J., 2023, Changes in sediment transport processes at the Chandeleur Islands, Louisiana in response to storm impact, in The proceedings of the coastal sediments 2023, New Orleans, LA, April 11-15, 2023, p. 24-35, https://doi.org/10.1142/9789811275135_0003.","productDescription":"12 p.","startPage":"24","endPage":"35","ipdsId":"IP-147600","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":416371,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Chandeleur Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -88.97760848369228,\n 29.6330492556649\n ],\n [\n -88.80826187109011,\n 29.818733306044066\n ],\n [\n -88.80141958371236,\n 29.952212734679904\n ],\n [\n -88.86300017011308,\n 30.058867458511088\n ],\n [\n -88.88523760409095,\n 30.04850328211937\n ],\n [\n -88.84589445166849,\n 29.922566087016705\n ],\n [\n -88.87326360117996,\n 29.832089287753902\n ],\n [\n -88.9177384691361,\n 29.743015714404763\n ],\n [\n -89.0135304924261,\n 29.6464299800531\n ],\n [\n -89.00839877689286,\n 29.625614751671378\n ],\n [\n -88.97760848369228,\n 29.6330492556649\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2023-03-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Flocks, James 0000-0002-6177-7433","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":221107,"corporation":false,"usgs":true,"family":"Flocks","given":"James","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":858895,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bernier, Julie 0000-0002-9918-5353 jbernier@usgs.gov","orcid":"https://orcid.org/0000-0002-9918-5353","contributorId":3549,"corporation":false,"usgs":true,"family":"Bernier","given":"Julie","email":"jbernier@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":858896,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70243262,"text":"70243262 - 2023 - How machine learning can improve predictions and provide insight into fluvial sediment transport in Minnesota","interactions":[],"lastModifiedDate":"2023-05-05T14:30:38.523906","indexId":"70243262","displayToPublicDate":"2023-04-15T09:25:15","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"How machine learning can improve predictions and provide insight into fluvial sediment transport in Minnesota","docAbstract":"Understanding fluvial sediment transport is critical to addressing many environmental concerns such as exacerbated flooding, degradation of aquatic habitat, excess nutrients, and the economic challenges of restoring aquatic systems. However, fluvial sediment transport is difficult to understand because of the multitude of factors controlling the potential sources, delivery, mechanics, and storage of sediment in aquatic systems. While physical fluvial sediment samples are an integral part of developing solutions for these environmental concerns, samples cannot be collected at every river and time of interest. Therefore, accurate and cost-effective estimates of sediment loading are needed to manage riverine sediment transport at a multitude of scales (Ellison et al. 2016); also needed are methods to estimate sediment transport at sites where little or no physical samples have been collected (Gray & Simes 2008). The application of machine learning (ML) approaches to estimate sediment transport has grown over the past two decades (Afan et al. 2016). ML used in sediment transport research has shown multiple benefits over traditional approaches, such as increased prediction accuracy, the ability to learn complex linear and non-linear relations amongst the dataset and providing the ability to interpret these complex relations with important features used in the model (Cisty et al. 2021; Francke et al. 2008; Khan et al. 2021; Zounemat-Kermani et al. 2020; Cutler et al. 2007).
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Center","active":true,"usgs":true}],"preferred":true,"id":870400,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Palmsten, Margaret L. 0000-0002-6424-2338","orcid":"https://orcid.org/0000-0002-6424-2338","contributorId":239955,"corporation":false,"usgs":true,"family":"Palmsten","given":"Margaret","email":"","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":870401,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70242974,"text":"70242974 - 2023 - Wave asymmetry impacts on sediment processes at the nearshore of Fire Island, New York","interactions":[],"lastModifiedDate":"2023-04-26T10:59:36.753951","indexId":"70242974","displayToPublicDate":"2023-04-15T08:53:42","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Wave asymmetry impacts on sediment processes at the nearshore of Fire Island, New York","docAbstract":"Effects of wave asymmetry on sediment processes and coastal evolution were investigated using a field data set and a numerical model. Field observations at the nearshore of Fire Island, New York revealed sediment fluxes during various wave energy levels. The preliminary results indicate a strong correlation between the wave asymmetry and the onshore bedload fluxes. The model results captured the observed hydrodynamics and the sediment processes reasonably well. Ongoing work involves in-depth analysis of the model performance, followed by the evaluation of the nearshore morphodynamics at the island and shelf scales.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The proceedings of the coastal sediments 2023","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Coastal Sediments 2023","conferenceDate":"April 11-15, 2023","conferenceLocation":"New Orleans, LA","language":"English","publisher":"World Scientific","doi":"10.1142/9789811275135_0173","usgsCitation":"Parlak, M., Ayhan, B., Warner, J.C., Kalra, T., and Safak, I., 2023, Wave asymmetry impacts on sediment processes at the nearshore of Fire Island, New York, in The proceedings of the coastal sediments 2023, New Orleans, LA, April 11-15, 2023, p. 1896-1901, https://doi.org/10.1142/9789811275135_0173.","productDescription":"6 p.","startPage":"1896","endPage":"1901","ipdsId":"IP-142354","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":416234,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Fire Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -73.30955844155562,\n 40.626327489934454\n ],\n [\n -73.3060815625671,\n 40.55151810050168\n ],\n [\n -72.74862196476813,\n 40.7107174407181\n ],\n [\n -72.44149751006759,\n 40.794124158036254\n ],\n [\n -72.47278942096254,\n 40.85025428939389\n ],\n [\n -72.8077287635072,\n 40.758140832620455\n ],\n [\n -73.18555151547386,\n 40.661505049457986\n ],\n [\n -73.3153549977056,\n 40.63600469144072\n ],\n [\n -73.30955844155562,\n 40.626327489934454\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2023-03-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Parlak, M. S.","contributorId":304426,"corporation":false,"usgs":false,"family":"Parlak","given":"M. S.","affiliations":[{"id":66065,"text":"Dept. Civil Engineering, Istanbul Bilgi University, Istanbul, Türkiye","active":true,"usgs":false}],"preferred":false,"id":870402,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ayhan, B. U.","contributorId":304427,"corporation":false,"usgs":false,"family":"Ayhan","given":"B. U.","affiliations":[{"id":66065,"text":"Dept. Civil Engineering, Istanbul Bilgi University, Istanbul, Türkiye","active":true,"usgs":false}],"preferred":false,"id":870403,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":258015,"corporation":false,"usgs":true,"family":"Warner","given":"John","email":"jcwarner@usgs.gov","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":870404,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kalra, Tarandeep 0000-0001-5468-248X tkalra@usgs.gov","orcid":"https://orcid.org/0000-0001-5468-248X","contributorId":304428,"corporation":false,"usgs":false,"family":"Kalra","given":"Tarandeep","email":"tkalra@usgs.gov","affiliations":[{"id":66067,"text":"Jupiter Intelligence, San Mateo, California","active":true,"usgs":false}],"preferred":false,"id":870405,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Safak, Ilgar","contributorId":304429,"corporation":false,"usgs":false,"family":"Safak","given":"Ilgar","affiliations":[{"id":66065,"text":"Dept. Civil Engineering, Istanbul Bilgi University, Istanbul, Türkiye","active":true,"usgs":false}],"preferred":false,"id":870406,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70243286,"text":"70243286 - 2023 - Comparing empirical sediment transport modeling approaches in Michigan rivers","interactions":[],"lastModifiedDate":"2023-05-05T14:04:32.563372","indexId":"70243286","displayToPublicDate":"2023-04-15T08:51:14","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Comparing empirical sediment transport modeling approaches in Michigan rivers","docAbstract":"Excess or limited fluvial sediment transport can contribute to and exacerbate many environmental issues including nutrient loading, aquatic habitat degradation, flooding, channel navigation dredging, dam operation, and stream degradation or aggradation. However, fluvial sediment transport is difficult and expensive to comprehensively characterize because it can vary substantially both temporally and spatially. Having better estimates of fluvial sediment transport is important for understanding and solving these environmental issues when it is not possible to collect fluvial sediment samples. Different modeling approaches can be used to help estimate suspended sediment when sampling data are limited or unavailable. This study compared dimensionless sediment rating curves (DSRCs) developed in Pagosa Springs Colorado, Minnesota, and Michigan to determine if these DSRCs were suitable to make predictions of suspended sediment for Michigan rivers.
Approximately 3,000 suspended sediment samples collected in or near Michigan from the mid-1960s through August 2022 were used to develop two DSRC models. The DSRCs developed in Michigan include a pooled DSRC model which uses nonlinear least squares regression, and a mixed-effects DSRC model which uses a mixed-effects modeling approach. In general, there was not a noticeable improvement in the performance of the Michigan mixed-effects DSRC model over the Michigan pooled DSRC model. The two Michigan DSRCs were evaluated against DSRCs developed for Pagosa Springs and Minnesota. The results showed DSRC models developed from Minnesota and Michigan were similar to each other. In contrast, the Pagosa Springs DSRC predicts higher suspended-sediment concentration (SSC) at low flows and increases at a higher rate due to having a greater exponent. The Pagosa Springs DSRC produces higher SSC predictions that do not approximate the observed data well at most of the Michigan sites in the study. The results suggest that the Pagosa Springs DSRC was not suitable to make predictions of suspended sediment for Michigan rivers. The similarity of the DSRC equations developed for Minnesota and Michigan compared to the Pagosa Springs DSRC equation suggest that there may be regional patterns of SSC in the upper Midwest rivers that differ from those in other areas of the country like Pagosa Springs. A regionally applicable model could be developed and strengthened by combining data from additional midwestern states. Since the Michigan DSRCs goodness-of-fit metrics were comparable to the site-specific simple linear regressions (SLRs) and outperformed them in the aggregate goodness-of-fit metrics, the Michigan DSRCs are suitable to make predictions of suspended sediment in Michigan rivers with limited data. However, the availability of the DSRCs from this study should not diminish the value of collecting physical samples and exploring alternative modeling approaches because of the uncertainty associated with using DSRCs. Approximately 3,000 suspended sediment samples collected in or near Michigan from the mid-1960s through August 2022 were used to develop two DSRC models. The DSRCs developed in Michigan include a pooled DSRC model which uses nonlinear least squares regression, and a mixed-effects DSRC model which uses a mixed-effects modeling approach. In general, there was not a noticeable improvement in the performance of the Michigan mixed-effects DSRC model over the Michigan pooled DSRC model. The two Michigan DSRCs were evaluated against DSRCs developed for Pagosa Springs and Minnesota. The results showed DSRC models developed from Minnesota and Michigan were similar to each other. In contrast, the Pagosa Springs DSRC predicts higher suspended-sediment concentration (SSC) at low flows and increases at a higher rate due to having a greater exponent. The Pagosa Springs DSRC produces higher SSC predictions that do not approximate the observed data well at most of the Michigan sites in the study. The results suggest that the Pagosa Springs DSRC was not suitable to make predictions of suspended sediment for Michigan rivers. The similarity of the DSRC equations developed for Minnesota and Michigan compared to the Pagosa Springs DSRC equation suggest that there may be regional patterns of SSC in the upper Midwest rivers that differ from those in other areas of the country like Pagosa Springs. A regionally applicable model could be developed and strengthened by combining data from additional midwestern states. Since the Michigan DSRCs goodness-of-fit metrics were comparable to the site-specific simple linear regressions (SLRs) and outperformed them in the aggregate goodness-of-fit metrics, the Michigan DSRCs are suitable to make predictions of suspended sediment in Michigan rivers with limited data. However, the availability of the DSRCs from this study should not diminish the value of collecting physical samples and exploring alternative modeling approaches because of the uncertainty associated with using DSRCs.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"SEDHYD 2023","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"SEDHYD-2023, Sedimentation and Hydrologic Modeling Conference","conferenceDate":"May 8-12, 2023","conferenceLocation":"St. Louis, MO","language":"English","publisher":"SEDHYD","usgsCitation":"Groten, J.T., Levin, S., Coenen, E., Lund, J., and Matousek, B., 2023, Comparing empirical sediment transport modeling approaches in Michigan rivers, in SEDHYD 2023, St. Louis, MO, May 8-12, 2023.","ipdsId":"IP-127397","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":416758,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":416746,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.sedhyd.org/2023Program/s17.html"}],"country":"United 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\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Groten, Joel T. 0000-0002-0441-8442 jgroten@usgs.gov","orcid":"https://orcid.org/0000-0002-0441-8442","contributorId":173464,"corporation":false,"usgs":true,"family":"Groten","given":"Joel","email":"jgroten@usgs.gov","middleInitial":"T.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":871849,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Levin, Sara B. 0000-0002-2448-3129","orcid":"https://orcid.org/0000-0002-2448-3129","contributorId":209947,"corporation":false,"usgs":true,"family":"Levin","given":"Sara B.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":871850,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coenen, Erin N. 0000-0003-2470-3854","orcid":"https://orcid.org/0000-0003-2470-3854","contributorId":211159,"corporation":false,"usgs":true,"family":"Coenen","given":"Erin N.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":871851,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lund, J. William 0000-0002-8830-4468","orcid":"https://orcid.org/0000-0002-8830-4468","contributorId":289132,"corporation":false,"usgs":true,"family":"Lund","given":"J. William","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":871852,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Matousek, Bethany","contributorId":304881,"corporation":false,"usgs":false,"family":"Matousek","given":"Bethany","email":"","affiliations":[{"id":66186,"text":"Michigan Department of Environment, Great Lakes, and Energy","active":true,"usgs":false}],"preferred":false,"id":871853,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70247427,"text":"70247427 - 2023 - Regional streamflow drought forecasting in the Colorado River Basin using Deep Neural Network models","interactions":[],"lastModifiedDate":"2023-08-07T14:02:02.242741","indexId":"70247427","displayToPublicDate":"2023-04-15T08:48:17","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Regional streamflow drought forecasting in the Colorado River Basin using Deep Neural Network models","docAbstract":"Process-based, large-scale (e.g., conterminous United States [CONUS]) hydrologic models have struggled to achieve reliable streamflow drought performance in arid regions and for low-flow periods. Deep learning has recently seen broad implementation in streamflow prediction and forecasting research projects throughout the world with performance often equaling or exceeding that of process-based models. Deep learning models are a possible approach to increase the accuracy of streamflow drought predictions and to expand the spatial coverage of river locations with available streamflow drought forecasts.
As part of a multi-component Data-Driven Drought Prediction project, the U.S. Geological Survey is developing and testing deep learning models for streamflow drought forecasting. In this work, we present preliminary results of a deep learning model capable of predicting streamflow drought occurrence at ungaged locations for the Colorado River Basin (CRB). A long short-term memory (LSTM) neural network model was trained using 40 years (1980-2020) of daily streamflow data from 425 streamgages within and surrounding the CRB using static watershed attributes as well as meteorological and remotely sensed dynamic forcing inputs. Model tests were performed to evaluate model accuracy for now-casting streamflow drought conditions at ungaged locations and for forecasting drought conditions at lead times ranging from 0 to 14 days. Nearly all model configurations showed behavioral performance for predicting daily streamflow percentiles. Comparisons of LSTM model performance for predicting drought using fixed drought thresholds (calculated over all days and years) and variable drought thresholds (unique threshold calculated for each day of the year) identify differences in model skill between locations with implications for model design.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of SEDHYD 2023","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"SEDHYD","conferenceDate":"May 8-12, 2023","conferenceLocation":"St. Louis, MO","language":"English","publisher":"SEDHYD","usgsCitation":"Hamshaw, S.D., Goodling, P.J., Hafen, K., Hammond, J., McShane, R., Sando, R., Shastry, A.R., Simeone, C.E., Watkins, D., White, E., and Wieczorek, M., 2023, Regional streamflow drought forecasting in the Colorado River Basin using Deep Neural Network models, in Proceedings of SEDHYD 2023, St. Louis, MO, May 8-12, 2023, 15 p.","productDescription":"15 p.","ipdsId":"IP-151973","costCenters":[{"id":227,"text":"Earth Surface Dynamics Program","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":419560,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":419548,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.sedhyd.org/2023Program/s181.html"}],"country":"United States","otherGeospatial":"Colorado River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -114.60045372623478,\n 31.258330936607123\n ],\n [\n -110.59254302741863,\n 31.054063075754513\n ],\n [\n -108.59802952983767,\n 31.359920476818175\n ],\n [\n -107.77329728728904,\n 32.667013027627036\n ],\n [\n -105.33291815667258,\n 38.21996621737378\n ],\n [\n -105.64401667449579,\n 40.61584869706027\n ],\n [\n -108.25906974720414,\n 42.992213339755665\n ],\n [\n -110.41906640637575,\n 43.12924273929244\n ],\n [\n -111.27275669412631,\n 41.39663030950132\n ],\n [\n -112.47810183593663,\n 38.504465490675386\n ],\n [\n -113.09970923969854,\n 37.353465042204334\n ],\n [\n -114.3929667988645,\n 37.49906345159148\n ],\n [\n -114.6266795454161,\n 38.107130943367025\n ],\n [\n -115.48463166591264,\n 39.43479765478551\n ],\n [\n -115.68353845853977,\n 37.41554450267796\n ],\n [\n -115.1115276804997,\n 33.75507968847421\n ],\n [\n -115.55059550089697,\n 31.937316150454635\n ],\n [\n -114.60045372623478,\n 31.258330936607123\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hamshaw, Scott Douglas 0000-0002-0583-4237","orcid":"https://orcid.org/0000-0002-0583-4237","contributorId":305601,"corporation":false,"usgs":true,"family":"Hamshaw","given":"Scott","email":"","middleInitial":"Douglas","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":879573,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goodling, Phillip J. 0000-0001-5715-8579","orcid":"https://orcid.org/0000-0001-5715-8579","contributorId":239738,"corporation":false,"usgs":true,"family":"Goodling","given":"Phillip","email":"","middleInitial":"J.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":879574,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hafen, Konrad 0000-0002-1451-362X","orcid":"https://orcid.org/0000-0002-1451-362X","contributorId":215959,"corporation":false,"usgs":true,"family":"Hafen","given":"Konrad","email":"","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":879575,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hammond, John C. 0000-0002-4935-0736","orcid":"https://orcid.org/0000-0002-4935-0736","contributorId":223108,"corporation":false,"usgs":true,"family":"Hammond","given":"John C.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":879576,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McShane, Ryan R. 0000-0002-3128-0039","orcid":"https://orcid.org/0000-0002-3128-0039","contributorId":219009,"corporation":false,"usgs":true,"family":"McShane","given":"Ryan R.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":879577,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sando, Roy 0000-0003-0704-6258","orcid":"https://orcid.org/0000-0003-0704-6258","contributorId":3874,"corporation":false,"usgs":true,"family":"Sando","given":"Roy","email":"","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":879578,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shastry, Apoorva Ramesh 0000-0002-3996-4857","orcid":"https://orcid.org/0000-0002-3996-4857","contributorId":317867,"corporation":false,"usgs":true,"family":"Shastry","given":"Apoorva","email":"","middleInitial":"Ramesh","affiliations":[{"id":227,"text":"Earth Surface Dynamics Program","active":true,"usgs":true}],"preferred":true,"id":879579,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Simeone, Caelan E. 0000-0003-3263-6452 csimeone@usgs.gov","orcid":"https://orcid.org/0000-0003-3263-6452","contributorId":221126,"corporation":false,"usgs":true,"family":"Simeone","given":"Caelan","email":"csimeone@usgs.gov","middleInitial":"E.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":879580,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Watkins, David 0000-0002-7544-0700","orcid":"https://orcid.org/0000-0002-7544-0700","contributorId":317375,"corporation":false,"usgs":true,"family":"Watkins","given":"David","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":879581,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"White, Elaheh 0000-0003-1248-5247","orcid":"https://orcid.org/0000-0003-1248-5247","contributorId":295260,"corporation":false,"usgs":true,"family":"White","given":"Elaheh","email":"","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":879582,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wieczorek, Michael 0000-0003-0999-5457","orcid":"https://orcid.org/0000-0003-0999-5457","contributorId":207911,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":879583,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70242991,"text":"70242991 - 2023 - Processes controlling coastal erosion along Cape Cod Bay, MA","interactions":[],"lastModifiedDate":"2023-04-26T11:00:06.393489","indexId":"70242991","displayToPublicDate":"2023-04-15T08:43:40","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Processes controlling coastal erosion along Cape Cod Bay, MA","docAbstract":"Cape Cod Bay, MA, is a semi-enclosed embayment in the northeastern United States, open on the north to the Gulf of Maine. The coastline experiences impacts typically from strong Nor’easter storms that occur in the late fall or winter months, with some sections of this coastline being affected more severely than others. We investigate the processes that cause spatial variability in storm impacts by using geophysical surveys, shoreline-change analysis, and numerical modeling. We simulated the Gulf of Maine and Cape Cod Bay from Jan–April, 2021, using the COAWST modeling system, including ocean, wave, infragravity wave, and sediment transport models. Results identify bay-scale circulation of alongshore sediment fluxes and convergences at regional shoals. Nearshore modeling also revealed zones of increased wave heights that correlate with regions of increased erosion and coastal angle orientation. Modeled and computed shoreline-change have some correlation but the model does not capture all the variability. This overall approach can potentially be used for other coastal locations to identify regions of storm impacts and to manage coastal resources.
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2023 - Sediment sources and connectivity linked to hydrologic pathways and geomorphic processes: A conceptual model to specify sediment sources and pathways through space and time","interactions":[],"lastModifiedDate":"2023-05-31T13:46:59.201583","indexId":"70244030","displayToPublicDate":"2023-04-15T08:43:15","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Sediment sources and connectivity linked to hydrologic pathways and geomorphic processes: A conceptual model to specify sediment sources and pathways through space and time","docAbstract":"Sediment connectivity is a framework for transfer and storage of sediment among different geomorphic compartments across upland and channel network of the catchment sediment cascade. Sediment connectivity and dysconnectivity (i.e., source delivery and storage processes) are linked to the water cycle and hydrologic systems with the associated multiscale interactions with climate, soil, topography, ecology, and landuse/landcover under natural variability and human intervention. We review the sediment connectivity concept and frameworks developed in the last few decades to examine and quantify water and sediment transfer in catchment systems. Past conceptual models of connectivity have attempted to integrate multiple processes into sediment domain, including geomorphic, hydrologic, and ecological processes (i.e., “holistic approach to connectivity”). In particular, multiple studies highlight the importance of sediment and water interaction in defining landscape connectivity. There are also efforts to quantify the topographic controls on sediment connectivity, in the advent of increasingly high-resolution digital terrain models. More recent modeling efforts have integrated structural and functional connectivity through coupling topographic information with hydrologic simulation models. Though this recent modeling development is encouraging, a comprehensive sediment connectivity framework that integrates geomorphic and hydrologic processes across spatiotemporal scales is yet to be conceived. Such an effort will require understanding the governing hydrologic and geomorphic processes that control sediment source, storage, and transport. A conceptual model is proposed to describe dominant hydrologic-sediment connectivity regimes through spatial-temporal feedbacks between hydrologic processes (rainfall, flow routing, and water residence time) and geomorphic drivers (upland soil erosion and deposition, and geomorphic channel erosion and deposition response). Recent advancements in landscape monitoring techniques using geochemical tracers, remote-sensing, increasing availability of hydrologic monitoring data, and the integration of various analytic methods (e.g., isotopic hydrograph separation, stormflow concentration-discharge, hysteretic behavior analysis) have the potential to broaden the spatial and temporal scales of geomorphic observations and understanding of landscape sediment connectivity. Using the conceptual model as a “thinking” space, we examine sediment and hydrologic interactions in real world examples of watershed studies using multiple lines of evidence and modeling techniques.
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