The lower shoreface, a transitional subaqueous region extending from the seaward limit of the surf zone to beyond the closure depth, serves as a sediment reservoir and pathway in sandy beach environments over annual to millennial time scales. Despite the important role this region plays in shoreline dynamics, the morphodynamics of the lower shoreface remain poorly quantified and understood. To better understand controls on shoreface morphology, here we combine energetics-based suspended sediment transport formulae (Ortiz & Aston 2016) with empirical wave climate data to incorporate temporal complexity in modeled equilibrium profiles and sediment flux rates. The equilibrium shoreface shape computed using a full wave climate is steeper in shallower water and less steep in the deeper reaches compared to profiles computed using single wave characteristics. Using a full wave climate to simulate steady-state morphology will yield steeper profiles in shallow water. Suspended sediment transport rates also vary in direction and magnitude at different equilibrium profile depths and can potentially inform the location of morphodynamic boundaries in the shoreface. Our results reveal how infrequent storm waves affect shoreface slopes, with large events tending to drive sediment onshore in the deeper portions of the profile. This work explores a few ways to add complexity to simple energetics-based frameworks to reproduce empirical bathymetric data more accurately and provides insight toward refining coastal source-to-sink models.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Coastal Sediments 2023, proceedings of the 10th international conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Coastal Sediments 2023","conferenceDate":"April 11-15, 2023","conferenceLocation":"New Orleans, Louisiana, United States","language":"English","publisher":"World Scientific","doi":"10.1142/9789811275135_0260","usgsCitation":"Gillen, M., Ashton, A.D., Miselis, J.L., Ciarletta, D.J., Wei, E.A., and Sherwood, C.R., 2023, Incorporating wave climate complexity into modeling lower shoreface morphology and transport, in Coastal Sediments 2023, proceedings of the 10th international conference, New Orleans, Louisiana, United States, April 11-15, 2023, p. 2862-2874, https://doi.org/10.1142/9789811275135_0260.","productDescription":"13 p.","startPage":"2862","endPage":"2874","ipdsId":"IP-147824","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":417085,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2023-03-23","publicationStatus":"PW","contributors":{"editors":[{"text":"Wang, Ping","contributorId":78646,"corporation":false,"usgs":false,"family":"Wang","given":"Ping","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":872817,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Royer, Elizabeth","contributorId":305463,"corporation":false,"usgs":false,"family":"Royer","given":"Elizabeth","email":"","affiliations":[],"preferred":false,"id":872818,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Rosati, Julie D.","contributorId":112486,"corporation":false,"usgs":false,"family":"Rosati","given":"Julie D.","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":872819,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Gillen, Megan 0000-0002-2375-6519","orcid":"https://orcid.org/0000-0002-2375-6519","contributorId":267190,"corporation":false,"usgs":false,"family":"Gillen","given":"Megan","email":"","affiliations":[{"id":55436,"text":"MIT-WHOI Joint Program in Oceanography/Applied Ocean Science & Engineering, Cambridge and Woods Hole, MA, USA","active":true,"usgs":false}],"preferred":false,"id":872692,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ashton, Andrew D.","contributorId":300047,"corporation":false,"usgs":false,"family":"Ashton","given":"Andrew","email":"","middleInitial":"D.","affiliations":[{"id":16633,"text":"WHOI","active":true,"usgs":false}],"preferred":false,"id":872693,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":872694,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":872695,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wei, Emily A. 0000-0003-4008-0933","orcid":"https://orcid.org/0000-0003-4008-0933","contributorId":223488,"corporation":false,"usgs":true,"family":"Wei","given":"Emily","email":"","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":872696,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sherwood, Christopher R. 0000-0001-6135-3553 csherwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6135-3553","contributorId":2866,"corporation":false,"usgs":true,"family":"Sherwood","given":"Christopher","email":"csherwood@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":872697,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70244217,"text":"70244217 - 2023 - Guidance for parameterizing post-fire hydrologic models with in situ infiltration measurements","interactions":[],"lastModifiedDate":"2024-06-18T13:52:44.245324","indexId":"70244217","displayToPublicDate":"2023-05-16T07:20:50","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Guidance for parameterizing post-fire hydrologic models with in situ infiltration measurements","docAbstract":"Wildfire can alter soil-hydraulic properties, often resulting in an increased prevalence of infiltration-excess overland flow and greater potential for debris-flow hazards. Mini disk tension infiltrometers (MDIs) can be used to estimate soil hydraulic properties, such as field-saturated hydraulic conductivity (Kfs) and wetting front potential (Hf), and their spatial variability following wildfire. However, the small (point-scale) footprint of MDI measurements makes it challenging to use these data to parameterize hydrologic models at the hillslope and watershed scales where hydrologic hazards, such as debris flows, initiate. Here, we designed numerical experiments to estimate spatially constant or watershed-scale effective hydrologic parameters (EHPs) that approximate the response of spatially variable hydrologic parameters with distributions derived from MDI measurements at five sites in the southwestern United States. We found that it is possible to define EHPs for both Kfs and Hf based on the MDI measurements that lead to reasonable approximations of run-off hydrographs at the outlets of small watersheds (<1 km2). We found that watershed EHPs are functions of rainfall characteristics, although they are most sensitive to rainfall intensity and relatively less sensitive to the temporal distribution of rainfall. EHPs are lower than the arithmetic mean of the MDI measurements and are better approximated by the median or geometric mean of the MDI measurements, particularly for storms with recurrence intervals of approximately 1 year or less that commonly initiate post-fire debris flows. This work demonstrated that using the proposed upscaling method to estimate watershed-scale EHPs, as opposed to approximating EHPs based on the arithmetic mean of the MDI measurements, improved the ability of a hydrologic model to identify storms that are likely to produce debris flows. Results improved our ability to link point-scale MDI measurements and watershed-scale EHPs in post-fire settings and helped guide our ability to use MDI data to parameterize post-fire hydrologic models.
During the economic boom of the mid part of the first decade of the 2000s in northwestern Nevada, municipal and housing growth increased use of the water resources of this semi-arid region. In 2008, when the economy slowed, new housing development stopped, and immediate pressure on groundwater resources abated. The U.S. Geological Survey, in cooperation with the Bureau of Reclamation, began a hydrogeologic study of the middle Carson River Basin. The first half of the study reviewed and synthesized previous geologic studies and contributed new datasets that served as a foundation for a three-dimensional, transient numerical model of groundwater and surface-water flow for the middle Carson River Basin extending from Eagle Valley to Churchill Valley. The model can be used to evaluate the effects of proposed alternative management strategies on groundwater sustainability, flows in the Carson River, and routine operation of Lahontan Reservoir and can also provide a basis for basin-wide investigations seeking to quantitatively evaluate the effects of climate change or yet-to-be-determined alternative management strategies.
The middle Carson model was constructed using the U.S. Geological Survey groundwater modeling software MODFLOW-NWT. MODFLOW is widely used groundwater modeling software and is well-suited for evaluating groundwater and surface-water interactions. The model uses 550-feet square grid cells that align with the previously published model for Carson Valley (adjacent upstream valley). Six grid layers with more finely resolved vertical resolution near the perimeter of the active model domain and near surface-water features, compared to other areas of the active model domain, hone the simulated groundwater and surface-water exchanges. In addition to simulating groundwater and surface-water interaction, crop and phreatophyte evapotranspiration, lake evaporation, mountain-front recharge, recharge from irrigation return flows, and groundwater pumping are also simulated. Surface-water flow entering the model domain, including the Carson River, tributary inflow from perennial streams in Eagle Valley, and trans-basin imports through the Truckee Canal (surface water diverted from the Truckee River) are specified according to U.S. Geological Survey streamgage records. Groundwater pumpage and surface-water diversions to 10 agricultural ditches and the managed release from Lahontan Reservoir, at the end of the middle Carson River Basin, are specified according to water-manager records.
The model simulation period extended from 2000 through 2010 (January 1, 2000, to December 31, 2010) using 574 weekly stress periods, with a single steady-state stress period at the beginning of the simulation that establishes initial conditions by approximating average conditions during the transient simulation period. All available observations for this period were used during the model calibration process, performed using automated parameter-estimation software. Calibration targets included observations of groundwater elevations in wells, streamflow, differences in observed streamflow between successive streamgages and actual evapotranspiration from irrigated lands. Among all 5,296 simulated and observed groundwater level pairs, the mean error was 1.42 feet; the mean absolute error, 7.71 feet; and the percent bias was −0.1 percent.
Three alternative management scenarios, run using the entire period of analysis (2000–10), were simulated to improve understanding of the potential effects of (1) loss of irrigated agricultural lands following conversion of water-rights to municipal groundwater rights; (2) reclaiming treated wastewater with induction wells; and (3) exercising permitted but under-utilized groundwater rights. Scenarios 2 and 3 were further explored using two and four subscenarios, respectively. Simulated scenario results ranged from having little effect on the groundwater system relative to a baseline simulation to having spatially extensive and large groundwater-level declines (10 to 20 feet) compared to the baseline simulation. None of the simulated scenarios increased delivery of river flows to Lahontan Reservoir. On the contrary, one of the subscenarios under alternative management scenario 3 led to surface-water delivery shortfalls of more than 10,000 acre-feet per year.
Future model improvements may include an extension of the model simulation period backward and forward in time and directly linking it to the upstream Carson Valley groundwater model. Furthermore, converting this MODFLOW model to a GSFLOW model, which fully integrates groundwater and surface-water flows including precipitation runoff and infiltration, may provide an improved tool for comprehensive management of water-resources in the middle Carson River Basin.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235008","collaboration":"Prepared in cooperation withv the Bureau of Reclamation","usgsCitation":"Morway, E.D., Buto, S.G., Niswonger, R.G., and Huntington, J.L., 2023, Assessing potential effects of changes in water use in the middle Carson River Basin with a numerical groundwater-flow model, Eagle, Dayton, and Churchill Valleys, west-central Nevada: U.S. Geological Survey Scientific Investigations Report 2023–5008, 112 p., https://doi.org/10.3133/sir20235008.","productDescription":"Report: xiii, 112 p.; 3 Data Releases","numberOfPages":"112","onlineOnly":"Y","ipdsId":"IP-034336","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":416912,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9D3XO1U","text":"Data for the report assessing potential effects of changes in water use in the middle Carson River Basin with a numerical groundwater-flow model, Eagle, Dayton, and Churchill Valleys, west-central Nevada","description":"Morway, E.D., Buto, S.G., and Medina, R.L., 2023, Data for the report assessing potential effects of changes in water use in the middle Carson River Basin with a numerical groundwater-flow model, Eagle, Dayton, and Churchill Valleys, west-central Nevada: U.S. Geological Survey data release, https://doi.org/10.5066/P9D3XO1U."},{"id":416913,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9N9FNQZ","text":"MODFLOW-NWT model used to simulate potential effects of changes in water use in the middle Carson River Basin, Eagle, Dayton, and Churchill Valleys, west-central, Nevada","description":"Morway, E.D., Niswonger, R.G., and Buto, S.G., 2023, MODFLOW-NWT model used to simulate potential effects of changes in water use in the middle Carson River Basin, Eagle, Dayton, and Churchill Valleys, west-central, Nevada: U.S. Geological Survey data release, https://doi.org/10.5066/P9N9FNQZ."},{"id":416907,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5008/covrthb.jpg"},{"id":416908,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5008/sir20235008.pdf","text":"Report","size":"18 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":416909,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5008/sir20235008.xml"},{"id":416910,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5008/images"},{"id":416911,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235008/full"},{"id":416921,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9P5LJ3P","text":"Data for the report Geologic Framework and Hydrogeology of the middle Carson River basin, Eagle, Dayton, and Churchill Valleys, West-Central Nevada","description":"Maurer, D.K., and Medina, R.L., 2020, Data for the report Geologic Framework and Hydrogeology of the middle Carson River basin, Eagle, Dayton, and Churchill Valleys, West-Central Nevada: U.S. Geological Survey data release, https://doi.org/10.5066/P9P5LJ3P."}],"country":"United States","state":"Nevada","otherGeospatial":"Middle Carson River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120,\n 40.5\n ],\n [\n -120,\n 38\n ],\n [\n -118,\n 38\n ],\n [\n -118,\n 40.5\n ],\n [\n -120,\n 40.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director,
Nevada Water Science Center
U.S. Geological Survey
2730 N. Deer Run Road
Carson City, Nevada 89701
Flushing time, the time scale for exchange and mixing between embayed and oceanic waters in an estuary, plays an integral role in determining water quality and aquatic ecosystem health. Here, we investigated the spatiotemporal variability of flushing times throughout Morro Bay, a short, low-inflow estuary (LIE) on the California coast, using a calibrated and validated hydrodynamic model (Delft3D). Morro Bay has historically supported an extensive eelgrass (Zostera marina) habitat, which declined substantially from 139 to 5.4 ha during 2007–2017. Eelgrass decline motivated the current research into the role of changing bed roughness and oceanic drivers (i.e., tide and sea-level rise) on estuarine hydrodynamics and flushing times. We found that tidal variability exerts the strongest control on flushing times compared to other effects, i.e., bed roughness or sea-level rise. Additionally, we found that increasing sea level and decreasing bed roughness (associated with declining seagrass coverage) yielded higher rates of mixing (lower flushing times). We detected a strong correspondence between areas having shorter flushing times (e.g., near the estuary mouth) and areas occupied by resilient eelgrass populations in Morro Bay. Our findings further indicated that flushing times in short LIEs are particularly sensitive to several factors (e.g., bed roughness, sea level) that are susceptible to anthropogenic disturbance and future climate change.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2023.108277","usgsCitation":"Taherkhani, M., Vitousek, S., Walter, R.K., O’Leary, J., and Khodadoust, A.P., 2023, Flushing time variability in a short, low-inflow estuary: Estuarine, Coastal and Shelf Science, v. 284, 108277, 16 p., https://doi.org/10.1016/j.ecss.2023.108277.","productDescription":"108277, 16 p.","ipdsId":"IP-149301","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":443542,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecss.2023.108277","text":"Publisher Index Page"},{"id":417031,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Morro Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.86550507818211,\n 35.37559917233456\n ],\n [\n -120.8609393073724,\n 35.352727225376455\n ],\n [\n -120.86354831926357,\n 35.33197729831399\n ],\n [\n -120.87072310196481,\n 35.306963896126035\n ],\n [\n -120.834849188459,\n 35.3218664291451\n ],\n [\n -120.81267258738302,\n 35.32931666587521\n ],\n [\n -120.82441314089395,\n 35.36389805553908\n ],\n [\n -120.86550507818211,\n 35.37559917233456\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"284","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Taherkhani, 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":872546,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":872547,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walter, Ryan K.","contributorId":241045,"corporation":false,"usgs":false,"family":"Walter","given":"Ryan","email":"","middleInitial":"K.","affiliations":[{"id":16725,"text":"California Polytechnic State University, San Luis Obispo","active":true,"usgs":false}],"preferred":false,"id":872548,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Leary, Jennifer","contributorId":305371,"corporation":false,"usgs":false,"family":"O’Leary","given":"Jennifer","email":"","affiliations":[{"id":13272,"text":"Wildlife Conservation Society","active":true,"usgs":false}],"preferred":false,"id":872549,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Khodadoust, Amid P.","contributorId":305372,"corporation":false,"usgs":false,"family":"Khodadoust","given":"Amid","email":"","middleInitial":"P.","affiliations":[{"id":18137,"text":"University of Illinois at Chicago","active":true,"usgs":false}],"preferred":false,"id":872550,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70263094,"text":"70263094 - 2023 - Stream restoration milestones: Monitoring scales determine successes and failures","interactions":[],"lastModifiedDate":"2025-01-29T15:26:16.16923","indexId":"70263094","displayToPublicDate":"2023-05-15T09:22:07","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3669,"text":"Urban Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Stream restoration milestones: Monitoring scales determine successes and failures","docAbstract":"Urban stream restoration is growing globally, but there is much to learn from successes, failures, and evaluating tradeoffs in restoration practices. Significant time and resources have been invested towards restoring the structure and function of urban ecosystems and understanding and slowing the drivers of degradation. However, the rapid pace of urbanization and its effects on urban waters present an ever-growing challenge to environmental managers and restoration practitioners when identifying and prioritizing effective strategies for restoration and monitoring outcomes. Here, we synthesize major findings and papers originating from the 5th Symposium on Urbanization and Stream Ecology (SUSE5) and propose a new concept for monitoring restoration based on lessons learned. Efforts from SUSE5 showed that urban disturbances and restoration activities have strong localized impacts that can be challenging to detect and disentangle across broader watershed scales and longitudinal flowpaths. Most urban stream restoration projects are monitored at only one or a few locations that do not capture significant variability across stream reaches and longer flowpaths. Based on knowledge from SUSE5, we present a new concept called ‘restoration milestones.’ The restoration milestones concept proposes that the scale of stream monitoring over space and time can influence whether a stream restoration project is considered a success or failure. Therefore, answers to questions regarding restoration effectiveness and durability can be affected by spatial and temporal monitoring scales. Setting realistic restoration milestones involves establishing monitoring strategies that account for spatial and temporal variability. Tracking restoration performance through time across stream reaches along longitudinal flowpaths could aid in more accurately assessing project performance. We explore applications for evaluating restoration milestones along longitudinal stream flowpaths including: (1) identifying target areas of improvement along drainage networks, (2) accurately accounting for tradeoffs in habitat, protection of infrastructure, and water quality along flowpaths, and (3) detecting how far downstream the effects of stream restoration and stormwater management can be propagated. Monitoring across different spatial and temporal scales is an overlooked but critical factor in determining restoration success. Additionally, the scale of the restoration project itself can determine the type and magnitude of improvements. Expectations for what a restoration project can accomplish in terms of water quality improvements should be calibrated to the project’s spatial scale and evolution over time. Longitudinal studies of stream restoration help identify successes and failures along flowpaths.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s11252-023-01370-8","usgsCitation":"Kaushal, S., Fork, M.L., Hawley, R.J., Hopkins, K.G., Rios-Touma, B., and Roy, A.H., 2023, Stream restoration milestones: Monitoring scales determine successes and failures: Urban Ecosystems, v. 26, p. 1131-1142, https://doi.org/10.1007/s11252-023-01370-8.","productDescription":"12 p.","startPage":"1131","endPage":"1142","ipdsId":"IP-144413","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481451,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","noUsgsAuthors":false,"publicationDate":"2023-05-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Kaushal, Sujay S.","contributorId":210125,"corporation":false,"usgs":false,"family":"Kaushal","given":"Sujay S.","affiliations":[{"id":38074,"text":"Univ. of Maryland","active":true,"usgs":false}],"preferred":false,"id":925531,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fork, Megan L.","contributorId":139659,"corporation":false,"usgs":false,"family":"Fork","given":"Megan","email":"","middleInitial":"L.","affiliations":[{"id":12868,"text":"Nicholas School of the Environment, Duke University, Durham, NC, USA","active":true,"usgs":false}],"preferred":false,"id":925532,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hawley, Robert J.","contributorId":167574,"corporation":false,"usgs":false,"family":"Hawley","given":"Robert","email":"","middleInitial":"J.","affiliations":[{"id":24758,"text":"Sustainable Streams, LLC, Louisville, KY","active":true,"usgs":false}],"preferred":false,"id":925533,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hopkins, Kristina G. 0000-0003-1699-9384 khopkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1699-9384","contributorId":195604,"corporation":false,"usgs":true,"family":"Hopkins","given":"Kristina","email":"khopkins@usgs.gov","middleInitial":"G.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":925534,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rios-Touma, Blanca","contributorId":348572,"corporation":false,"usgs":false,"family":"Rios-Touma","given":"Blanca","affiliations":[],"preferred":false,"id":925535,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Roy, Allison H. 0000-0002-8080-2729 aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":925505,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70255508,"text":"70255508 - 2023 - Stream corridor sediment budget for watershed sediment source apportionment for the forested Little Fork River, Minnesota","interactions":[],"lastModifiedDate":"2025-01-15T14:14:49.550215","indexId":"70255508","displayToPublicDate":"2023-05-15T08:59:41","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Stream corridor sediment budget for watershed sediment source apportionment for the forested Little Fork River, Minnesota","docAbstract":"No abstract available.
","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":"Fitzpatrick, F.A., Sterner, S.P., Baker, A., Soderman, S., Gran, K.B., Kasun, A., Kennedy, M., Norvitch, P., Anderson, J., and Guntzmann, M., 2023, Stream corridor sediment budget for watershed sediment source apportionment for the forested Little Fork River, Minnesota, in Proceedings of SEDHYD 2023, St. Louis, MO, May 8-12, 2023, 15 p.","productDescription":"15 p.","ipdsId":"IP-151544","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":430387,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.sedhyd.org/2023Program/s71.html","linkFileType":{"id":5,"text":"html"}},{"id":430394,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","otherGeospatial":"Little Fork River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -93.98813378622793,\n 48.514525376740465\n ],\n [\n -92.93659977332644,\n 47.31619110833077\n ],\n [\n -91.78902707999019,\n 47.904651102477175\n ],\n [\n -93.01894632722289,\n 48.626392201035145\n ],\n [\n -93.98813378622793,\n 48.514525376740465\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fitzpatrick, Faith A. 0000-0002-9748-7075 fafitzpa@usgs.gov","orcid":"https://orcid.org/0000-0002-9748-7075","contributorId":209516,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith","email":"fafitzpa@usgs.gov","middleInitial":"A.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":904418,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sterner, Shelby P. 0000-0002-3103-7960","orcid":"https://orcid.org/0000-0002-3103-7960","contributorId":292246,"corporation":false,"usgs":true,"family":"Sterner","given":"Shelby","email":"","middleInitial":"P.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":904419,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baker, Anna C. 0000-0001-8194-7535","orcid":"https://orcid.org/0000-0001-8194-7535","contributorId":215037,"corporation":false,"usgs":true,"family":"Baker","given":"Anna C.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":904420,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Soderman, Sam","contributorId":339476,"corporation":false,"usgs":false,"family":"Soderman","given":"Sam","email":"","affiliations":[{"id":81304,"text":"Koochiching County","active":true,"usgs":false}],"preferred":false,"id":904421,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gran, Karen B.","contributorId":288093,"corporation":false,"usgs":false,"family":"Gran","given":"Karen","email":"","middleInitial":"B.","affiliations":[{"id":6915,"text":"University of Minnesota - Duluth","active":true,"usgs":false}],"preferred":true,"id":904422,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kasun, Andy","contributorId":339477,"corporation":false,"usgs":false,"family":"Kasun","given":"Andy","email":"","affiliations":[{"id":18006,"text":"University of Minnesota Duluth","active":true,"usgs":false}],"preferred":false,"id":904423,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kennedy, Mike","contributorId":339478,"corporation":false,"usgs":false,"family":"Kennedy","given":"Mike","email":"","affiliations":[{"id":13330,"text":"Minnesota Pollution Control Agency","active":true,"usgs":false}],"preferred":false,"id":904497,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Norvitch, Phil","contributorId":339479,"corporation":false,"usgs":false,"family":"Norvitch","given":"Phil","email":"","affiliations":[{"id":81306,"text":"North St. Louis Soil and Water Conservation District","active":true,"usgs":false}],"preferred":false,"id":904425,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Anderson, Jesse","contributorId":339480,"corporation":false,"usgs":false,"family":"Anderson","given":"Jesse","affiliations":[{"id":13330,"text":"Minnesota Pollution Control Agency","active":true,"usgs":false}],"preferred":false,"id":904426,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Guntzmann, Matt","contributorId":339481,"corporation":false,"usgs":false,"family":"Guntzmann","given":"Matt","email":"","affiliations":[{"id":81307,"text":"Itasca Soil and Water Conservation District","active":true,"usgs":false}],"preferred":false,"id":904427,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70269799,"text":"70269799 - 2023 - Assessment and characterization of ephemeral stream channel stability in the Grand Valley, Colorado, 2018-22","interactions":[],"lastModifiedDate":"2025-08-04T13:54:33.905692","indexId":"70269799","displayToPublicDate":"2023-05-15T08:44:42","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Assessment and characterization of ephemeral stream channel stability in the Grand Valley, Colorado, 2018-22","docAbstract":"The purpose of this study is to provide information regarding the stability of ephemeral streams on the north side of the Grand Valley, Colorado. The ungaged ephemeral streams in this semiarid region are of particular interest because (1) the underlying bedrock geology, Mancos Shale, is a sedimentary rock deposit that has been identified as a major contributor of salinity to the Colorado River and (2) despite infrequent flows of short duration, monsoon derived floods in these ephemeral streams can carry substantial amounts of sediment downstream, affecting up and downstream banks and channel cross sections. The study area is of interest as salinity, or the total dissolved solids concentration, in the Colorado River causes an estimated $300 to $400 million per year in economic damages in the United States and it is estimated that 62% of Upper Colorado River Basin dissolved-solid loads originate from geologic sources. In an effort to minimize salt contributions to the Colorado River from public lands administered by the Bureau of Land Management (BLM) a comprehensive three-pronged salinity control approach is being used which incorporates (1) controlling point sources of salinity; (2) controlling nonpoint sources of salinity; and (3) preventing nonpoint sources of salinity from persisting.\n\nIn 2018, the U.S. Geological Survey, in cooperation with BLM, began an assessment of ephemeral streams located in the north side of the Grand Valley, Colorado, to characterize stream channel stability. The USGS developed a method for automatically extracting channel cross-section geometry from existing remotely sensed terrain models. Based on estimated flood stage and surrogate streamflows, hydraulic characteristics were calculated. Furthermore, the channel geometries and hydraulic characteristics were used to estimate channel stability utilizing a statistical model. \n\nIn this ongoing study, cross-section stabilities were determined from a stream channel stability assessment for a subset of 1,406 visited locations out of a desired 13,415 cross sections which were delineated from remotely sensed terrain models. The application of Manning’s resistance equation in combination with multiple Logistic Regression models demonstrated that channel stability can be estimated with an 0.85 goodness of fit for a validation dataset when using a combination of drainage area, width to depth ratio, sinuosity, and shear stress as the explanatory variables. Stream channel stability was extrapolated for the remaining 13,415 unvisited cross sections using the multiple Logistic Regression model and defined explanatory variables. Mapping the ephemeral streams and their associated stabilities could be used to prioritize areas for BLM remediation or changes in management strategies to reduce sediment and salinity loading to the Colorado River.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of SEDHYD 2023","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"SEDHYD","usgsCitation":"Homan, J.W., 2023, Assessment and characterization of ephemeral stream channel stability in the Grand Valley, Colorado, 2018-22, in Proceedings of SEDHYD 2023, 11 p.","productDescription":"11 p.","ipdsId":"IP-148840","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":493408,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":493407,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.sedhyd.org/past/"}],"country":"United States","state":"Colorado","otherGeospatial":"Grand Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -109.0445924965195,\n 39.26086521028847\n ],\n [\n -109.0445924965195,\n 38.99358861682228\n ],\n [\n -108.24066157334559,\n 38.99358861682228\n ],\n [\n -108.24066157334559,\n 39.26086521028847\n ],\n [\n -109.0445924965195,\n 39.26086521028847\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2023-05-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Homan, Joel William 0000-0002-6709-123X","orcid":"https://orcid.org/0000-0002-6709-123X","contributorId":315495,"corporation":false,"usgs":true,"family":"Homan","given":"Joel","email":"","middleInitial":"William","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":944644,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70243604,"text":"70243604 - 2023 - A numerical investigation of the mechanisms controlling salt intrusion in the Delaware Bay Estuary","interactions":[],"lastModifiedDate":"2023-05-15T14:03:31.182073","indexId":"70243604","displayToPublicDate":"2023-05-15T08:43:17","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"A numerical investigation of the mechanisms controlling salt intrusion in the Delaware Bay Estuary","docAbstract":"Salinity intrusion in coastal systems is mainly controlled by freshwater inflows. However, extreme events like drought, low-pressure storms, and longer-term sea level rise can exacerbate the landward salt migration and threaten economic infrastructure and ecological health. Along the eastern seaboard of the United States, approximately 13 million people rely on the water resources of the Delaware River basin. Salinity intrusion is actively managed through river discharge targets to suppress the propagation of the salt front (∼0.52 daily averaged psu line). The purpose of this study is to examine the mechanisms controlling the location of the salt front in the Delaware Bay estuary using a calibrated three-dimensional hydrodynamic model, the Coupled Ocean Atmosphere Wave and Sediment Transport modeling system. This study explored how river discharge, tidal motions, interactions with bathymetric and topographic features, and meteorological events affected the location of the salt front. The model was forced with tides, subtidal water levels, bulk atmospheric conditions, and waves. Compared with the observationally derived location of the salt front line, the model captured the major dynamics throughout the year and performed particularly well during times of low discharge, when salinity intruded up estuary at a constant rate of 0.4 km/day. The daily average salt front moved almost 16 km (10 mi) within a neap-spring tidal cycle, and low-pressure storm systems were found to move the daily averaged salt front by 13–16 km in one event.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2023.108257","usgsCitation":"Cook, S.E., Warner, J.C., and Russell, K.L., 2023, A numerical investigation of the mechanisms controlling salt intrusion in the Delaware Bay Estuary: Estuarine, Coastal and Shelf Science, v. 283, 108257, 16 p., https://doi.org/10.1016/j.ecss.2023.108257.","productDescription":"108257, 16 p.","ipdsId":"IP-144529","costCenters":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":443551,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecss.2023.108257","text":"Publisher Index Page"},{"id":417021,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, New Jersey, Pennsylvania","otherGeospatial":"Delaware Bay Estuary","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.11619955096559,\n 38.73763237303737\n ],\n [\n -74.81060422137368,\n 39.208395097691294\n ],\n [\n -74.91812850400805,\n 39.25661375840713\n ],\n [\n -75.01433444110185,\n 39.41418851915901\n ],\n [\n -75.23504217914052,\n 39.44041644236643\n ],\n [\n -75.38218067116583,\n 39.43604580737218\n ],\n [\n -75.48404578102958,\n 39.50157653385622\n ],\n [\n -75.42745405332741,\n 39.58449350233724\n ],\n [\n -75.438772398868,\n 39.70650629113666\n ],\n [\n -75.35954398008468,\n 39.815264281891444\n ],\n [\n -75.1218587237355,\n 39.854375102531634\n ],\n [\n -75.07658534157395,\n 39.96289938512186\n ],\n [\n -74.82192256691424,\n 40.092901497017834\n ],\n [\n -74.68610242042881,\n 40.11454442418824\n ],\n [\n -74.73703497536101,\n 40.244257356638315\n ],\n [\n -74.80494504860373,\n 40.2312972236667\n ],\n [\n -74.88417346738633,\n 40.131853808272524\n ],\n [\n -75.16713210589779,\n 39.98458360741816\n ],\n [\n -75.21240548805935,\n 39.906488214275356\n ],\n [\n -75.38218067116583,\n 39.87609371208512\n ],\n [\n -75.50102329934073,\n 39.81091726046725\n ],\n [\n -75.58591089089398,\n 39.69779823272037\n ],\n [\n -75.65948013690662,\n 39.61937626699262\n ],\n [\n -75.61420675474504,\n 39.54086534174442\n ],\n [\n -75.61986592751498,\n 39.47100320828065\n ],\n [\n -75.438772398868,\n 39.199624508869135\n ],\n [\n -75.438772398868,\n 39.16014330842418\n ],\n [\n -75.438772398868,\n 39.06354039027241\n ],\n [\n -75.35388480731474,\n 38.997598861666404\n ],\n [\n -75.33690728900422,\n 38.89636906587077\n ],\n [\n -75.11619955096559,\n 38.73763237303737\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"283","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cook, Salme Ellen 0000-0003-1129-6209","orcid":"https://orcid.org/0000-0003-1129-6209","contributorId":303775,"corporation":false,"usgs":true,"family":"Cook","given":"Salme","email":"","middleInitial":"Ellen","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":872579,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":872580,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Russell, Kendra L. 0000-0002-3046-7440","orcid":"https://orcid.org/0000-0002-3046-7440","contributorId":218135,"corporation":false,"usgs":true,"family":"Russell","given":"Kendra","email":"","middleInitial":"L.","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":872581,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70255126,"text":"70255126 - 2023 - Preliminary analysis of a horizontal multifrequency hydroacoustic device designed for surrogate measurements of suspended sediment concentration: The Horizontal Acoustic Sediment Current Profiler","interactions":[],"lastModifiedDate":"2024-06-12T13:39:31.374916","indexId":"70255126","displayToPublicDate":"2023-05-15T08:37:23","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Preliminary analysis of a horizontal multifrequency hydroacoustic device designed for surrogate measurements of suspended sediment concentration: The Horizontal Acoustic Sediment Current Profiler","docAbstract":"Single frequency active hydroacoustic measurements have been correlated with suspended sediment concentration. In river systems that include widely varying suspended sediment particle sizes, a multi-frequency hydroacoustic approach has increased predictive capabilities. However, the multi-frequency approach requires installation and operation of multiple sensors in a river channel and relies on technology previously designed for measuring water velocity. The Horizontal Acoustic Sediment Current Profiler (HASCP) is a single unit multi-frequency (500, 1,500, and 2,000 mHz) hydroacoustic sensor that was designed to target suspended sediment concentrations. The HASCP was briefly deployed in the Rio Grande at Albuquerque, NM, USGS gage in 2021 and is currently (2022) in operation at the Colorado River near Cameo, CO gage. Results of preliminary testing of the HASCP are presented in this paper.","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":"Brown, J., Austring, T.J., Richards, R., Hatch, T., and Homan, J.W., 2023, Preliminary analysis of a horizontal multifrequency hydroacoustic device designed for surrogate measurements of suspended sediment concentration: The Horizontal Acoustic Sediment Current Profiler, in Proceedings of SEDHYD 2023, St. Louis, MO, May 8-12, 2023, 4 p.","productDescription":"4 p.","ipdsId":"IP-151796","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":430006,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":430005,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.sedhyd.org/2023Program/s270.html","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Brown, Jeb E. 0000-0001-7671-2379","orcid":"https://orcid.org/0000-0001-7671-2379","contributorId":225088,"corporation":false,"usgs":true,"family":"Brown","given":"Jeb E.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":903476,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Austring, Tristan Joel 0000-0002-5790-5498","orcid":"https://orcid.org/0000-0002-5790-5498","contributorId":338725,"corporation":false,"usgs":true,"family":"Austring","given":"Tristan","email":"","middleInitial":"Joel","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":903477,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richards, Rodney J. 0000-0003-3953-984X","orcid":"https://orcid.org/0000-0003-3953-984X","contributorId":202708,"corporation":false,"usgs":true,"family":"Richards","given":"Rodney J.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":903478,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hatch, Tyson 0000-0003-2393-2436","orcid":"https://orcid.org/0000-0003-2393-2436","contributorId":338726,"corporation":false,"usgs":true,"family":"Hatch","given":"Tyson","email":"","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":903479,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Homan, Joel William 0000-0002-6709-123X","orcid":"https://orcid.org/0000-0002-6709-123X","contributorId":315495,"corporation":false,"usgs":true,"family":"Homan","given":"Joel","email":"","middleInitial":"William","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":903480,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70255114,"text":"70255114 - 2023 - Acoustic measurements on a shallow, sand-bed river: A case study from the Rio Grande","interactions":[],"lastModifiedDate":"2024-06-12T13:33:32.658452","indexId":"70255114","displayToPublicDate":"2023-05-15T08:29:38","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Acoustic measurements on a shallow, sand-bed river: A case study from the Rio Grande","docAbstract":"The Middle Rio Grande (MRG) is a dynamic and complex fluvial system where flow and sediment transported from the Upper Rio Grande and MRG tributaries influence the form of the river. How sediment is transported through the MRG is an important planning question as it addresses a wide range of concerns including flood control and river rehabilitation, thus continuous sediment measurements are needed to develop accurate sediment budgets.
Sediment measurement techniques have continued to improve and the advent of sediment surrogates, such as acoustic technology, have proven to be effective options at obtaining more complete spatial and temporal sediment data in larger fluvial systems. Measurements of sediment in shallow, sand bed rivers, like the Rio Grande, are more difficult because of the changing channel morphology and often limited water depth in which to install instrumentation. During the 2019 spring snow-melt runoff season two acoustic techniques were employed on the Rio Grande to evaluate sediment movement. Sediment movement near the bed was calculated by the Integrated Section Surface Difference Over Time version 2 (ISSDOTv2) using swath data collected from a multi-beam sonar. Measurements were made adjacent to U.S. Geological Survey (USGS) gaging stations where near simultaneous measurements were made by the USGS for streamflow, suspended-sediment concentration and gradation, and bed-material gradations. These measurements were conducted at two locations on the Rio Grande, one of the locations was co-located with two side-profiling suspended-sediment acoustic Doppler profilers that had been installed in the fall of 2016. Both a 1 MegaHertz (MHz) and 2 MHz side-profiling suspended-sediment acoustic Doppler instrument were installed on a fixed platform that was co-located with a USGS sediment gage.
The ISSDOTv2 method using multi-beam sonar and the side-profiling acoustic Doppler profilers proved successful in collecting sediment information and compared well with the more traditional sediment measurements, while providing insight into the sediment transport on the MRG because of the increase in spatial and temporal resolution. Overall, there are some limitations of these acoustical techniques, but the additional information gleaned is beneficial in understanding sediment transport in a shallow, sand-bed river, such as the Rio Grande.
","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":"AuBuchon, J., Abraham, D., Posner, A., Brown, J., Jackson, T., and Griffiths, R.E., 2023, Acoustic measurements on a shallow, sand-bed river: A case study from the Rio Grande, in Proceedings of SEDHYD 2023, St. Louis, MO, May 8-12, 2023, 15 p.","productDescription":"15 p.","ipdsId":"IP-151841","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":430004,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":430003,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.sedhyd.org/2023Program/s82.html","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New Mexico","otherGeospatial":"Middle Rio Grande","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -106.97063461050324,\n 35.069496774475496\n ],\n [\n -106.97063461050324,\n 34.001955073356385\n ],\n [\n -106.52537665281139,\n 34.001955073356385\n ],\n [\n -106.52537665281139,\n 35.069496774475496\n ],\n [\n -106.97063461050324,\n 35.069496774475496\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"AuBuchon, Jonathan","contributorId":256772,"corporation":false,"usgs":false,"family":"AuBuchon","given":"Jonathan","email":"","affiliations":[{"id":51859,"text":"Albuquerque District, United States Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":903437,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abraham, David","contributorId":338662,"corporation":false,"usgs":false,"family":"Abraham","given":"David","email":"","affiliations":[{"id":81187,"text":"U.S. Army Corps of Engineers, reitred","active":true,"usgs":false}],"preferred":false,"id":903438,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Posner, Ari","contributorId":338663,"corporation":false,"usgs":false,"family":"Posner","given":"Ari","email":"","affiliations":[{"id":6736,"text":"Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":903439,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Jeb E. 0000-0001-7671-2379","orcid":"https://orcid.org/0000-0001-7671-2379","contributorId":225088,"corporation":false,"usgs":true,"family":"Brown","given":"Jeb E.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":903440,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jackson, Tony","contributorId":338664,"corporation":false,"usgs":false,"family":"Jackson","given":"Tony","email":"","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":903441,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Griffiths, Ronald E. 0000-0003-3620-2926 rgriffiths@usgs.gov","orcid":"https://orcid.org/0000-0003-3620-2926","contributorId":162,"corporation":false,"usgs":true,"family":"Griffiths","given":"Ronald","email":"rgriffiths@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":903442,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70244207,"text":"70244207 - 2023 - Implications of fire-induced evapotranspiration shifts for recharge-runoff generation and vegetation conversion in the western United States","interactions":[],"lastModifiedDate":"2023-06-07T11:41:27.80442","indexId":"70244207","displayToPublicDate":"2023-05-15T06:37:47","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5836,"text":"Journal of Hydrology X","onlineIssn":"2589-9155","active":true,"publicationSubtype":{"id":10}},"title":"Implications of fire-induced evapotranspiration shifts for recharge-runoff generation and vegetation conversion in the western United States","docAbstract":"Wildfire has been shown to increase, decrease, or have no detectable effect on actual evapotranspiration (ETa) fluxes in the western United States. Where disturbance-induced shifts are significant, source-water hydrology may be impacted as ETa constitutes the largest outgoing water flux in much of the arid West. We conducted pixel-scale analysis of 30-m ETa data and various meteorologic and landscape variables at 13 burn scars to understand how wildfire disturbance impacted hillslope-to-burn scar-scale hydrology and vegetation conversion. Significant fire-induced ETa reductions (between approximately −15 to −50%) were detected at nine burn scars through the tenth post-fire year, while ETa recovery rate varied substantially by ecoregion and pre-fire vegetation type. Along elevation gradients, both climate and land disturbance influenced the location of runoff/recharge generation zones, and more net water was generated from a snow-dominated burn scar in dry post-fire years than in wet pre-fire years. However, especially in arid locations where ETa is water-limited, compensatory ETa pathways may be more likely to dampen fire effects on total basin water yield where intact vegetation is located between the disturbance footprint and the basin outlet. Relationships between post-fire ETa shifts and early-successional vegetation conversion were also tracked. The majority of burn scars with significant fire-induced ETa reductions experienced conversion patterns typical of the western United States following stand-replacing disturbance, with forests converting to shrub/scrub and/or grassland/herbaceous cover through at least the end of the study period (eight to 15 years depending on date of the fire event). This could have important implications for high-elevation, snow-dominated watersheds – some of the most critical source water areas - as previous research indicates that wildfire activity is moving upslope and into vegetation communities that have not evolved to withstand fire. Finally, we show that much of the Colorado River Basin’s high-yield source water areas are vulnerable to the fire-induced ETa reductions and vegetation conversion observed herein. As such, water managers in the Colorado River Basin can anticipate changes in burn scar hydrology and snowpack mechanics following fire disturbance.
The High Plains aquifer (HPA) is the primary water source for agricultural irrigation in the US Great Plains. The water levels in many locations of the aquifer have declined steadily over the past several decades because the rate of water withdrawals exceeds recharge, which has been a serious concern to the water resources management in the region. We evaluated temporal trends and variations in agricultural water use and hydroclimatic variables including precipitation, air temperature, reference evapotranspiration, runoff, groundwater level, and terrestrial water storage across the HPA region for different periods from 1985 to 2020 at the grid, county, or region scale. The results showed that water withdrawals decreased from 21.3 km3/year in 1985 to 18.2 km3/year in 2015, while irrigated croplands increased from 71,928 km2 in 1985 to 78,464 km2 in 2015 in the entire HPA. The hydroclimatic time-series showed wetting trends in most of the northern HPA, but drying and warming trends in the southern region from 1985 to 2020. The groundwater level time-series indicated flat trends in the north, but significant declining in the central and southern HPA. Trends in irrigation water withdrawals and irrigation area across the HPA were controlled by the advancement of irrigation systems and technologies and the management of sustainable water use, but also were affected by dynamical changes in the hydroclimatic conditions.
The U.S. Geological Survey Colorado Water Science Center conducts water resource activities in Colorado in cooperation with different entities throughout the State. These activities include extensive data-collection efforts and interpretive studies to address many different issues of concern to Colorado water resource planners, managers, and others. Results are documented in report products and as information served on the internet.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/gip223","usgsCitation":"Oden, J.H., 2023, USGS Colorado Water Science Center bookmark: U.S. Geological Survey General Information Product 223, https://doi.org/10.3133/gip223.","productDescription":"1 Plate: 7.01 x 4.30 inches","onlineOnly":"N","ipdsId":"IP-152161","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":416927,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/0223/coverthb.jpg"},{"id":416928,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/0223/gip223_cropped.pdf","text":"Bookmark","size":"6.51 MB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 223"}],"country":"United States","state":"Colorado","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -109.0104552084493,\n 40.98555224333222\n ],\n [\n -109.0104552084493,\n 36.95190952352803\n ],\n [\n -102.05476160072392,\n 36.95190952352803\n ],\n [\n -102.05476160072392,\n 40.98555224333222\n ],\n [\n -109.0104552084493,\n 40.98555224333222\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Colorado Water Science Center
U.S. Geological Survey
Box 25046, Mail Stop 415
Denver, CO 80225
Earth has been labeled the blue planet because of its abundance of water that covers most of its surface, but the majority is salt water in our oceans. Oceans account for ~352 million km2 or 69% of the planet's surface, land for 150 million km2 or 29%, and fresh water for 9 million km2 or 2% (Shiklomanov, 2000). Most of the fresh water is locked away in glaciers and ice sheets on Greenland and Antarctica, with less than a third accessible to biota (Shiklomanov, 2000). This miniscule fraction of fresh water is our most precious natural resource, the foundation for life in terrestrial environments, and humanity depends on it, but the resource faces enormous threats. My aim in this brief editorial is to define the freshwater resource, succinctly summarize the major threats it faces, and underscore recent calls for conservation. My review is cursory, but I call attention to various recent exhaustive reviews. I end with my views on how journals can help advance global freshwater conservation efforts.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/ffwsc.2023.1068115","usgsCitation":"Miranda, L.E., 2023, Facing our freshwater crisis via fluid and agile communication: A grand challenge: Frontiers in Freshwater Science, v. 1, 1068115, 6 p., https://doi.org/10.3389/ffwsc.2023.1068115.","productDescription":"1068115, 6 p.","ipdsId":"IP-145450","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":443577,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/ffwsc.2023.1068115","text":"Publisher Index Page"},{"id":433106,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","noUsgsAuthors":false,"publicationDate":"2023-05-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908226,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70243296,"text":"70243296 - 2023 - Retrospective on lessons learned from the Chesapeake Bay Program strategy review system’s 3rd cycle with suggested adaptations to address the issues","interactions":[],"lastModifiedDate":"2024-03-29T14:49:14.441206","indexId":"70243296","displayToPublicDate":"2023-05-11T09:44:46","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Retrospective on lessons learned from the Chesapeake Bay Program strategy review system’s 3rd cycle with suggested adaptations to address the issues","docAbstract":"No abstract available.
","language":"English","publisher":"EPA Chesapeake Bay Program","usgsCitation":"Bollt, K., Sullivan, B.M., and Saunders, K., 2023, Retrospective on lessons learned from the Chesapeake Bay Program strategy review system’s 3rd cycle with suggested adaptations to address the issues, 28 p.","productDescription":"28 p.","ipdsId":"IP-152379","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":427239,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":416795,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.chesapeakebay.net/what/event/chesapeake-bay-program-srs-biennial-meeting"}],"country":"United States","otherGeospatial":"Chesapeake Bay watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n 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Kristin","contributorId":304932,"corporation":false,"usgs":false,"family":"Saunders","given":"Kristin","email":"","affiliations":[{"id":37215,"text":"University of Maryland Center for Environmental Science","active":true,"usgs":false}],"preferred":false,"id":871943,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70243835,"text":"70243835 - 2023 - Exposures and potential health implications of contaminant mixtures in linked source water, finished drinking water, and tapwater from public-supply drinking water systems in Minneapolis/St. Paul area, USA","interactions":[],"lastModifiedDate":"2023-07-11T16:05:02.124974","indexId":"70243835","displayToPublicDate":"2023-05-11T09:10:09","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":13794,"text":"Environmental Science: Water Research and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Exposures and potential health implications of contaminant mixtures in linked source water, finished drinking water, and tapwater from public-supply drinking water systems in Minneapolis/St. Paul area, USA","docAbstract":"Continued improvements in drinking-water quality characterization and treatment/distribution infrastructure are required to address the expanding number of documented environmental contaminants. To better understand the variability in contaminant exposures from the drinking water resource (surface and groundwater), through the distribution process, to the point-of-use (tapwater), in 2019 a synoptic assessment of broad chemical exposures was conducted in system-specific source waters, finished drinking water and service-area tapwater from 10 drinking water treatment facilities in the greater Minneapolis/St. Paul area of Minnesota, United States. Source water, finished water (collected pre-distribution in the treatment facility), and tapwater samples were analyzed for 465 unique organic compounds, 34 inorganic constituents, and 3 field parameters as well as in vitro estrogen, androgen, and glucocorticoid bioactivities. Mixtures of organic and inorganic contaminants were prevalent in source water, finished water, and tapwater samples, indicating the continued need for broad assessments of mixed contaminant exposures to characterize potential drinking-water human health outcomes. Contaminant concentrations were similar among drinking water sources and no exceedances of Environmental Protection Agency maximum contaminant level(s) (MCL) were observed in any treated sample (finished water or tapwater) in this study. No treated sample contained estrogenic, androgenic, or glucocorticoid activity at concentrations that may cause adverse human health effects. However, there were multiple exceedances of non-enforceable MCL goal(s) (MCLG), and other health advisories combined with frequent exceedances of benchmark-based hazard indices in both finished water and tapwater samples. These results indicate that exposure to contaminant mixtures is a potential public health concern underscoring our continued efforts to assess contaminant mixture exposures at the drinking-water point of consumption using a broad analytical scope.
","language":"English","publisher":"Royal Society of Chemistry","doi":"10.1039/d3ew00066d","usgsCitation":"Smalling, K., Bradley, P., Romanok, K., Elliott, S.M., de Lambert, J., Focazio, M.J., Gordon, S.E., Gray, J., Kanagy, L.K., Hladik, M.L., Loftin, K.A., McCleskey, R., Medlock-Kakaley, E., Cardon, M.C., Evans, N., and Weis, C., 2023, Exposures and potential health implications of contaminant mixtures in linked source water, finished drinking water, and tapwater from public-supply drinking water systems in Minneapolis/St. Paul area, USA: Environmental Science: Water Research and Technology, v. 9, p. 1813-1828, https://doi.org/10.1039/d3ew00066d.","productDescription":"16 p.","startPage":"1813","endPage":"1828","ipdsId":"IP-128928","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":443579,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1039/d3ew00066d","text":"Publisher Index Page"},{"id":417337,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","city":"Minneapolis, St. Paul","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -94.00943612221862,\n 45.502541617459315\n ],\n [\n -94.00943612221862,\n 44.35362851581243\n ],\n [\n -92.69794345075478,\n 44.35362851581243\n ],\n [\n -92.69794345075478,\n 45.502541617459315\n ],\n [\n -94.00943612221862,\n 45.502541617459315\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"9","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Smalling, Kelly L. 0000-0002-1214-4920","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":214623,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":873432,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradley, Paul M. 0000-0001-7522-8606","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":221226,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":873433,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Romanok, Kristin M. 0000-0002-8472-8765","orcid":"https://orcid.org/0000-0002-8472-8765","contributorId":221227,"corporation":false,"usgs":true,"family":"Romanok","given":"Kristin M.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":873434,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Elliott, Sarah M. 0000-0002-1414-3024 selliott@usgs.gov","orcid":"https://orcid.org/0000-0002-1414-3024","contributorId":1472,"corporation":false,"usgs":true,"family":"Elliott","given":"Sarah","email":"selliott@usgs.gov","middleInitial":"M.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":873435,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"de Lambert, Jane","contributorId":303692,"corporation":false,"usgs":false,"family":"de Lambert","given":"Jane","affiliations":[{"id":65878,"text":"MN Department of Health","active":true,"usgs":false}],"preferred":false,"id":873436,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Focazio, Michael J. 0000-0003-0967-5576 mfocazio@usgs.gov","orcid":"https://orcid.org/0000-0003-0967-5576","contributorId":1276,"corporation":false,"usgs":true,"family":"Focazio","given":"Michael","email":"mfocazio@usgs.gov","middleInitial":"J.","affiliations":[{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true}],"preferred":true,"id":873437,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gordon, Stephanie E. 0000-0002-6292-2612 sgordon@usgs.gov","orcid":"https://orcid.org/0000-0002-6292-2612","contributorId":200931,"corporation":false,"usgs":true,"family":"Gordon","given":"Stephanie","email":"sgordon@usgs.gov","middleInitial":"E.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":873438,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gray, James L. 0000-0002-0807-5635","orcid":"https://orcid.org/0000-0002-0807-5635","contributorId":202726,"corporation":false,"usgs":true,"family":"Gray","given":"James L.","affiliations":[{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":37464,"text":"WMA - 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Achieving Water Quality Goals in the Chesapeake Bay: A Comprehensive Evaluation of System Response (CESR) includes an evaluation of why progress toward meeting the TMDL and water quality standards has been slower than expected and offers options for how progress can be accelerated. This report is a summation of a three year investigation into the 40 year effort to reduce nutrient loads to Chesapeake Bay.
History
The effort began as a STAC independent initiative in March 2019, after Kurt Stephenson, Zach Easton, and Brian Benham proposed the idea of a report that would identify gaps and uncertainties in system response—physical, chemical, biological, and socioeconomic—that impact efforts designed to attain water quality standards in Chesapeake Bay. As STAC Chair at the time, Benham facilitated the development of a collaborative process that would engage the entire committee. As a first step in approaching the long causal chain that links management actions to their eventual impact on water quality and living resources, workgroups were formed around the subsystems of this chain: nutrient and sediment reductions (watershed), water quality response to nutrient and sediment reductions (estuary) and living resource response to water quality (living resources). Each of these workgroups generated an independent document with a self-determined scope (i.e., workgroups were afforded flexibility to address issues beyond the original objectives). Because the content of each document was both unique and substantial, STAC chose to publish them as stand-alone documents with authorship attribution.
In the second step, a steering committee developed a series of framing questions to guide the preparation of this report that would meet the objective of identifying gaps and uncertainties in achieving the Bay TMDL and water quality standards. Coeditors Stephenson and Wardrop, supported to great extent by a subgroup of the Steering Committee (Leonard Shabman, Zach Easton, Jeremy Testa, William Dennison, Kenny Rose, and Mark Monaco) were tasked with assembling ideas and contributions to write a single draft text, drawing material from the aforementioned resource documents, STAC and Chesapeake Bay Program reports, the scientific literature, and a limited amount of additional analyses performed in collaboration with Bay Program scientists. The resulting report was then submitted for several reviews by both steering committee members and the membership at-large to produce a consensus report.
The Colorado River is often referred to as “the lifeblood of the west.” The basin supplies municipal water to nearly 40 million people and irrigates approximately 22,000 km2 of agricultural lands. Twenty-two major rivers converge with the Colorado after it begins its descent from the Rocky Mountains and winds through the plateaus of Colorado, Utah, and Arizona, onto the deserts of southwestern Arizona, and finally into the Gulf of California, where inflows from the Río Hardy and Río Sonoyta in Mexico complete the drainage. The mainstem Colorado, Green, Yampa, Little Colorado, and Yampa Rivers are described in further detail in the 2005 edition (Blinn and Poff, 2005) of this book. In this edition, we discuss seven other major tributaries in the Colorado River basin: the Gunnison, San Juan, Virgin, Bill Williams, Verde, Black, and Salt Rivers. The water quality and quantity, flora and fauna, and sediment and organic loads of each of these tributaries uniquely alter the mainstem Colorado River and the habitat it provides. Thus, understanding the hydrology, ecology, and human use of these tributaries is critical toward understanding both the complex history and present-day management of the Colorado River Basin as a whole.
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Michael D.","contributorId":305312,"corporation":false,"usgs":false,"family":"Delong","given":"Michael","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":872297,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Jardine, Timothy D.","contributorId":305313,"corporation":false,"usgs":false,"family":"Jardine","given":"Timothy","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":872298,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Benke, Arthur C.","contributorId":296917,"corporation":false,"usgs":false,"family":"Benke","given":"Arthur","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":872299,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Cushing, Colbert E.","contributorId":296918,"corporation":false,"usgs":false,"family":"Cushing","given":"Colbert","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":872300,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Metcalfe, Anya 0000-0002-6286-4889","orcid":"https://orcid.org/0000-0002-6286-4889","contributorId":221738,"corporation":false,"usgs":true,"family":"Metcalfe","given":"Anya","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":872246,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muehlbauer, Jeffrey 0000-0003-1808-580X","orcid":"https://orcid.org/0000-0003-1808-580X","contributorId":221739,"corporation":false,"usgs":true,"family":"Muehlbauer","given":"Jeffrey","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":872247,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ford, Morgan 0000-0001-5104-9566","orcid":"https://orcid.org/0000-0001-5104-9566","contributorId":221740,"corporation":false,"usgs":true,"family":"Ford","given":"Morgan","email":"","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":872249,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kennedy, Theodore 0000-0003-3477-3629","orcid":"https://orcid.org/0000-0003-3477-3629","contributorId":221741,"corporation":false,"usgs":true,"family":"Kennedy","given":"Theodore","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":872248,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70249210,"text":"70249210 - 2023 - Machine-learning model to delineate sub-surface agricultural drainage from satellite imagery","interactions":[],"lastModifiedDate":"2023-10-02T11:56:19.176955","indexId":"70249210","displayToPublicDate":"2023-05-11T06:54:29","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Machine-learning model to delineate sub-surface agricultural drainage from satellite imagery","docAbstract":"Knowing subsurface drainage (tile-drain) extent is integral to understanding how landscapes respond to precipitation events and subsequent days of drying, as well as how soil characteristics and land management influence stream response. Consequently, a time series of tile-drain extent would inform one aspect of land management that complicates our ability to explain streamflow and water-quality as a function of climate variability or conservation management. We trained a UNet machine-learning model, a convolutional neural network designed to highlight objects of interest within an image, to delineate tile-drain networks in panchromatic satellite imagery without additional data on soils, topography, or historical tile-drain extent. This was done by training the model to match the accuracy of human experts manually tracing the surface representation of tile drains in satellite imagery. Our approach began with a library of images that were used to train and quantify the accuracy of the model, with model performance tested on imagery from two areas that were not used to train the model. Satellite imagery included acquisition dates from 2008 to 2020. Training imagery was from agricultural areas within the US Great Lakes basin. Validation imagery was from the upper Maumee River, tributary to western Lake Erie, and an Indiana, Ohio-River headwater tributary. Our analysis of the satellite imagery paired with meteorological and soil data found that during spring, a combination of relatively high solar radiation, intermediate soil-water content and bare fields enabled the best model performance. Each area of interest was heavily tile-drained, where better understanding the movement of water, nutrients, and sediment from fields to downstream water bodies is key to managing harmful algal blooms and hypoxia. The trained UNet model successfully identified tile drains visible in the validation imagery with an accuracy of 93%–96% and balanced accuracy of 52%–54%, similar to performance for training data (95% and 63%, respectively). Model performance will benefit from ongoing contributions to the training library.
This paper describes the results of a study that was done by the USGS to assess recent (2017) water availability, forecast long-term trends in water availability, assess changes in water availability, and forecast future water availability in the Trinity River Basin in Texas. The Trinity River Basin surface water model and Trinity River alluvium aquifer (TRAA) groundwater model were created to evaluate future conditions under different global climate models (GCM). The results of this study show minimal overall changes in water availability for both surface water and groundwater. Trend analyses using historical data (1900–2017) indicated an increase of annual precipitation on the watersheds that drain into the reservoirs in Regional Water Planning Group C. However, the Trinity River Basin surface water model GCM ensemble mean annual precipitation indicates a downward trend, resulting in a downward trend in surface runoff. Additionally, the GCM ensemble mean for the Trinity River Basin surface water model and the TRAA groundwater model both indicate a downward trend in recharge while the TRAA model GCM ensemble mean indicates an upward trend in the amount of groundwater leaving the aquifer to rivers and streams resulting in an upward trend of cumulative storage change.
","language":"English","publisher":"Texas Water Journal","doi":"10.21423/twj.v14i1.7146","usgsCitation":"Milmo, M.J., McDowell, J., Yesildirek, M.V., and Harwell, G.R., 2023, The use of historical data and global climate models to assess historical and future surface water and groundwater availability in the Trinity River Basin in Texas: Texas Water Journal, v. 14, p. 34-61, https://doi.org/10.21423/twj.v14i1.7146.","productDescription":"28 p.","startPage":"34","endPage":"61","ipdsId":"IP-126619","costCenters":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":443587,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.21423/twj.v14i1.7146","text":"Publisher Index Page"},{"id":435342,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BVOEJ3","text":"USGS data release","linkHelpText":"Hydrologic simulations using projected climate data as input to the Precipitation-Runoff Modeling System (PRMS) for the Trinity River Basin Integrated Water Availability Assessment, Texas, 2023"},{"id":435341,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XO5F9G","text":"USGS data release","linkHelpText":"MODFLOW-NWT model used to assess historical and future trends in groundwater availability in the Trinity River alluvium aquifer, Texas"},{"id":416955,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Trinity River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -95.0568823566713,\n 29.605130308347057\n ],\n [\n -94.82111695509118,\n 29.47268831477325\n ],\n [\n -94.56341988824927,\n 29.61102156169673\n ],\n [\n -94.98560444456466,\n 31.578939128932277\n ],\n [\n -95.40230608456515,\n 32.304435780613815\n ],\n [\n -95.72579814719658,\n 32.762064472265905\n ],\n [\n -95.93963188351171,\n 33.33195284298357\n ],\n [\n -96.42212851930111,\n 33.574406176811095\n ],\n [\n -97.90799884087924,\n 33.77061473287188\n ],\n [\n -98.1218325771938,\n 33.49213956579713\n ],\n [\n -97.53516053140494,\n 32.558961831908476\n ],\n [\n -96.68530850245952,\n 32.141316395990245\n ],\n [\n -96.30698727667026,\n 31.217473563861276\n ],\n [\n -95.89576855298657,\n 30.48316869632812\n ],\n [\n -95.23781859509266,\n 29.709952489208263\n ],\n [\n -95.0568823566713,\n 29.605130308347057\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","edition":"1","noUsgsAuthors":false,"publicationDate":"2023-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Milmo, Molly J. 0000-0001-9074-0982","orcid":"https://orcid.org/0000-0001-9074-0982","contributorId":245854,"corporation":false,"usgs":true,"family":"Milmo","given":"Molly","email":"","middleInitial":"J.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":872223,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McDowell, Jeremy 0000-0002-8132-9806","orcid":"https://orcid.org/0000-0002-8132-9806","contributorId":221296,"corporation":false,"usgs":true,"family":"McDowell","given":"Jeremy","email":"","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":872224,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yesildirek, Monica Veale 0000-0002-0320-8531","orcid":"https://orcid.org/0000-0002-0320-8531","contributorId":228880,"corporation":false,"usgs":true,"family":"Yesildirek","given":"Monica","email":"","middleInitial":"Veale","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":872225,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harwell, Glenn R. 0000-0003-4265-2296","orcid":"https://orcid.org/0000-0003-4265-2296","contributorId":205197,"corporation":false,"usgs":true,"family":"Harwell","given":"Glenn","email":"","middleInitial":"R.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":872226,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70243321,"text":"cir1507 - 2023 - Assessment of lunar resource exploration in 2022","interactions":[],"lastModifiedDate":"2023-05-10T10:59:44.140508","indexId":"cir1507","displayToPublicDate":"2023-05-09T14:49:35","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1507","displayTitle":"Assessment of Lunar Resource Exploration in 2022","title":"Assessment of lunar resource exploration in 2022","docAbstract":"The idea of mining the Moon, once purely science-fiction, is now on the verge of becoming reality. Taking advantage of the resources on the Moon is part of the plans of many nations and some enterprising commercial entities; demonstrating in-situ (in place) resource utilization near the lunar south pole is an explicit goal of the United States’ Artemis program. Economic extraction and sustainable management of these resources require understanding the nature, quantity, and quality of each resource. This publication aims to provide a relatively simple, but technically rigorous, assessment of the status of lunar resource exploration in 2022.
Building on the experience of the U.S. Geological Survey in conducting resource assessments for Earth, we propose a general methodology for quantitative lunar resources assessments. Lunar resources can be categorized as energy, mineral, and water and classified with respect to their certainty and their recoverability. The portion of the technically recoverable resource that can be converted to a commodity within budgetary and other mission constraints can be classified as a “reserve.”
For energy resources, solar energy is known to be especially abundant along some high ridges near the lunar poles and the technology to exploit it is mature. Mineral resources, largely in the form of loose rock powder that covers the surface of the Moon, are also widely accessible in large quantities. Many different technologies to convert this material into useful commodities (such as landing pads and oxygen) are currently being developed and are likely to be available for industrial-scale application within 30 years. Water ice almost certainly exists in the polar regions of the Moon but there are fundamental unanswered questions about when and how the ice formed—leaving us without knowledge of the form, quantity, quality, and distribution of lunar ice. Until rover missions bring new ground truth data, lunar ice will remain a highly speculative resource that may be both limited and non-renewable.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1507","usgsCitation":"Keszthelyi, L.P., Coyan, J.A., Bennett, K.A., Ostrach, L.R., Gaddis, L.R., Gabriel, T.S.J., and Hagerty, J., 2023, Assessment of lunar resource exploration in 2022: U.S. Geological Survey Circular 1507, 23 p., https://doi.org/10.3133/cir1507.","productDescription":"iv, 23 p.","numberOfPages":"23","onlineOnly":"N","ipdsId":"IP-132347","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":416826,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1507/cir1507.pdf","text":"Report","size":"13 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":416825,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1507/covrthb.jpg"}],"contact":"Astrogeology Research Program staff
Astrogeology Science Center
U.S. Geological Survey
2255 N. Gemini Dr.
Flagstaff, AZ 86001
Effective fishery management in large systems relies on understanding how individual stocks contribute to a fishery over spatial and temporal scales. The current conceptual model for management of Walleye Sander vitreus in Green Bay designates Walleye in the northern and southern parts of the bay as distinct stocks, with little mixing between the northern and southern fisheries, and assumes that Walleye in both northern and southern Green Bay primarily spawn in tributaries as opposed to shoreline or offshore reef areas. We used acoustic telemetry to test this conceptual model for Walleye management in Green Bay. Telemetry indicated that the majority of Green Bay Walleye use tributaries for spawning. However, many individuals were assigned to open-water spawning locations during consecutive years in both northern (26%) and southern (21%) Green Bay, suggesting that open-water spawners may represent a larger proportion of the Walleye stocks than previously thought. Differential movement was observed between northern and southern portions of Green Bay, with 56% of Walleye tagged in northern Green Bay crossing receiver lines to move south compared to only 19% of Walleye tagged in southern Green Bay crossing receiver lines to move north. Walleye typically transitioned across these boundaries in summer and fall, suggesting that stock contributions to the fishery in each zone may differ seasonally. Differential movements of northern Green Bay Walleye may be influenced by broad-scale differences in habitat and prey availability, which are likely related to the differential effects of dreissenid mussel invasion in Green Bay. Our results suggest that adjustment of monitoring efforts to account for open-water spawners may provide a more complete picture of stock status. Additionally, more research examining potential food web effects of northern Green Bay Walleye moving into southern Green Bay may be needed to determine how these movements might influence other important species.
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