Director, Woods Hole Coastal and Marine Science Center
U.S. Geological Survey
384 Woods Hole Road
Quissett Campus
Woods Hole, MA 02543-1598
We used multi-component seismic data (including two-dimensional images of compressional-wave velocity [vP], shear-wave velocity [vS], the ratio of compressional-wave velocity to shear-wave velocity [vP/vS ratio], Poisson’s ratio [μ], and seismic reflections) along a transect across northeastern Edwards Air Force Base to investigate the upper few hundred meters of the subsurface. The shallow subsurface there is characterized by unconsolidated sediments (vP of less than 2,500 meters per second [m/s]; vS of less than 1,500 m/s) in the upper 40 meters (m), underlain by weathered granitic basement rock (vP of 2,500–4,000 m/s; vS of 1,500–2,700 m/s) to about 100 m depth and unweathered granitic basement rock (vP of 4,000–6,000 m/s; vS of 2,700–4,000 m/s). The depth to basement rock varies laterally along the transect by as many as tens of meters. The top of groundwater, as indicated by both the 1,500-m/s vP contour and measurements in five wells along the transect, is located 8–30 m below the surface. In places, the top of groundwater is vertically offset over short lateral distances, likely the result of fault barriers. Faults mapped at the surface along the northeastern part of the transect correlate with multiple seismic indicators of faulting at the same locations. These same indicators show evidence for faulting in several other places along the transect beneath the alluvium. A major zone of faulting is apparent near the center of the seismic profile and is characterized by offsets in the top of groundwater; diffractions on the reflection image; a near-vertical zone of low vS; a corresponding near-vertical, shallow-depth zone of high vP relative to adjacent rocks (indicating high saturation); a near-vertical zone of high vP/vS ratios; and a near-vertical zone of high Poisson’s ratios (also indicating saturation). Many of these anomalies extend at least 400 m deep, reaching into granitic basement rock and indicating that the fault zone is water-saturated to those depths. There is likely vertical flow of contaminants along these fault zones, which are apparently barriers to the lateral flow of groundwater. The major central fault zone marks a boundary beyond which contaminant flow is apparently impeded. Along the southwestern part of the transect, there are also areas with similar indicators of faulting, but these appear to be smaller fault zones.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231018","collaboration":"Prepared in cooperation with the U.S. Air Force","usgsCitation":"Catchings, R.D., Goldman, M.R., Chan, J.H., Sickler, R.R., and Criley, C.J., 2023, Seismic images and subsurface structures of northeastern Edwards Air Force Base, Kern County, California: U.S. Geological Survey Open-File Report 2023–1018, 29 p., https://doi.org/10.3133/ofr20231018.","productDescription":"Report: vii, 29 p.,; Data Release; 8 Figures","numberOfPages":"29","onlineOnly":"Y","ipdsId":"IP-139215","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":499769,"rank":12,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115219.htm","linkFileType":{"id":5,"text":"html"}},{"id":420028,"rank":11,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZAM79S","text":"Data release for a 2020 high-resolution seismic survey across northeastern Edwards Air Force Base, Kern County, California","description":"Goldman, M.R., Catchings, R.D., Chan, J.H., Criley, C.J., and Sickler, R.R., 2021, Data release for a 2020 high-resolution seismic survey across northeastern Edwards Air Force Base, Kern County, California: U.S. Geological Survey data release, https://doi.org/10.5066/P9ZAM79S."},{"id":420027,"rank":10,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/of/2023/1018/ofr20231018_figure14.pdf","text":"Figure 14","size":"2 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Two-dimensional Poisson’s ratio model along the Edwards seismic profile (Edwards Air Force Base, California), annotated with interpretative faults shown in figure 11."},{"id":420024,"rank":8,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/of/2023/1018/ofr20231018_figure08def.pdf","text":"Figure 8D, E, F","size":"11 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Unmigrated reflection image of the upper 400 meters (depth) along the Edwards seismic profile, Edwards Air Force Base, California."},{"id":420025,"rank":7,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/of/2023/1018/ofr20231018_figure08abc.pdf","text":"Figure 8A, B, C","size":"7 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Unmigrated reflection image of the upper 400 meters (depth) along the Edwards seismic profile, Edwards Air Force Base, California."},{"id":420023,"rank":6,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/of/2023/1018/ofr20231018_figure07a.pdf","text":"Figure 7A","size":"1.5 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Two-dimensional Poisson’s ratio model along the Edwards seismic profile (Edwards Air Force Base, California), derived from the tomographic compressional-wave velocity model and the multichannel analysis of surface waves shear-wave velocity model."},{"id":420022,"rank":5,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/of/2023/1018/ofr20231018_figure06a.pdf","text":"Figure 6A","size":"1.5 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Two-dimensional model of the ratio of compressional-wave velocity to shear-wave velocity along the Edwards seismic profile (Edwards Air Force Base, California), derived from the tomographic compressional-wave velocity model and the multichannel analysis of surface waves shear-wave velocity model."},{"id":420021,"rank":4,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/of/2023/1018/ofr20231018_figure05.pdf","text":"Figure 5","size":"1.5 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Two-dimensional shear-wave velocity model along the Edwards seismic profile (Edwards Air Force Base, California) developed from Rayleigh surface waves and the multichannel analysis of surface waves modeling technique."},{"id":420019,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1018/ofr20231018.pdf","text":"Report","size":"20 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":420018,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1018/covrthb.jpg"},{"id":420020,"rank":3,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/of/2023/1018/ofr20231018_figure04a.pdf","text":"Figure 4A","size":"1.5 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Two-dimensional compressional-wave velocity tomography model along the Edwards seismic profile (Edwards Air Force Base, California), generated using a subset of the seismic data with short offset distances between the shots and the receivers."},{"id":420026,"rank":9,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/of/2023/1018/ofr20231018_figure13.pdf","text":"Figure 13","size":"2 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Two-dimensional model of the ratio of compressional-wave velocity to shear-wave velocity along the Edwards seismic profile (Edwards Air Force Base, California), annotated with interpretive faults shown in figure 11"}],"country":"United States","state":"California","county":"Kern County","otherGeospatial":"Edwards Air Force Base","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.13696891699124,\n 35.05523690329453\n ],\n [\n -118.13696891699124,\n 34.719740760796995\n ],\n [\n -117.59793378058632,\n 34.719740760796995\n ],\n [\n -117.59793378058632,\n 35.05523690329453\n ],\n [\n -118.13696891699124,\n 35.05523690329453\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Earthquake Science Center
U.S. Geological Survey
350 N. Akron Road
Moffett Field, CA 94035
Aeromagnetic surveys were conducted to improve understanding of the geology and structure in northeastern California, a region predominantly covered by Quaternary and Tertiary, mainly Neogene, volcanic rocks including Medicine Lake volcano. New aeromagnetic data are a substantial improvement over existing data and reveal structural details not resolved by older surveys. Here we show how these data (1) do not support the presence of a northwest-striking structural feature across the Modoc Plateau, (2) reveal a northeast-striking fault-bounded block of predominantly reversely magnetized material that may influence tectonism at Medicine Lake volcano, and (3) constrain possible right-lateral offsets along the Likely Fault Zone and other faults that traverse the region. The data also highlight possible extensions of mapped faults, such as those in Fall River Valley and the Tule and Lower Klamath Lake areas.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3505","usgsCitation":"Langenheim, V.E. and Sweetkind, D.S., 2023, Aeromagnetic map of northeastern California: U.S. Geological Survey Scientific Investigations Map 3505, pamphlet 21 p., https://doi.org/10.3133/sim3505.","productDescription":"Pamphlet: iv, 21 p.; 3 Data Releases; 1 Sheet: 30.82 × 39.53 inches","numberOfPages":"21","additionalOnlineFiles":"Y","ipdsId":"IP-137584","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":500211,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115218.htm","linkFileType":{"id":5,"text":"html"}},{"id":435213,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TQGRDW","text":"USGS data release","linkHelpText":"Aeromagnetic and derivative gridded data, and magnetization boundaries of northeastern California"},{"id":420034,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P91Y9L0H","text":"Data release of geologic data for the aeromagnetic map of northeastern California","description":"Sweetkind, D.S., and Langenheim, V.E., 2022, Data release of geologic data for the aeromagnetic map of northeastern California: U.S. Geological Survey data release, https://doi.org/10.5066/P91Y9L0H."},{"id":420033,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PUFYDD","text":"Aeromagnetic and derivative gridded data, and magnetization boundaries of northeastern California","description":"Langenheim, V.E., 2023, Aeromagnetic and derivative gridded data, and magnetization boundaries of northeastern California: U.S. Geological data release, https://doi.org/10.5066/P9PUFYDD."},{"id":420032,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LU37RC","text":"Aeromagnetic Data of Alturas, California, and Surrounding Areas","description":"Langenheim, V.E., 2022, Aeromagnetic Data of Alturas, California, and Surrounding Areas: U.S. Geological Survey data release, https://doi.org/10.5066/P9LU37RC."},{"id":420031,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3505/sim3505_sheet.pdf","text":"Map Sheet","size":"30 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":420030,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3505/sim3505_pamphlet.pdf","text":"Pamphlet","size":"10 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":420029,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3505/covrthb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.03188053680955,\n 42.02157881382186\n ],\n [\n -122.00857149452494,\n 42.02157881382186\n ],\n [\n -122.00857149452494,\n 40.50279454574354\n ],\n [\n -120.03188053680955,\n 40.50279454574354\n ],\n [\n -120.03188053680955,\n 42.02157881382186\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Geology, Minerals, Energy, & Geophysics Science Center
U.S. Geological Survey
Building 19, 350 N. Akron Rd.
P.O. Box 158
Moffett Field, CA 94035
In low-permeability rocks, ambient groundwater flow in open boreholes may go undetected using conventional borehole-flowmeter tools and alternative approaches may be needed to identify flow. Understanding ambient flow in open boreholes is important for tracking of cross contamination in groundwater. Chlorinated volatile organic compound (CVOC) concentrations from three open boreholes set in a crystalline-rock aquifer (two of three open boreholes) and a siltstone aquifer (one of three open boreholes) were examined using a new approach and associated software program called the AFCE (Aqueous-Flow-Concentration-Estimator). The program allows comparison of coupled chemical datasets through a Monte-Carlo simulation and a chemical-budget approach to assess ambient groundwater flow in open boreholes. The coupled datasets required for the comparison include aqueous CVOC concentrations from groundwater samples from (1) discrete fractures, such as those measured from temporary deployment of straddle-borehole packer assemblies; and (2) the concentration of the open borehole (wellbore) water, as measured by a vertical profile of passive samplers from within the same open borehole. Because results from the passive samplers represent a composite mixture of the results from the discrete samples under ambient groundwater-flow conditions, potentially at unknown proportions, the comparison between coupled datasets affords the ability to discern likely water contributions of CVOC from discrete fractures (or fracture zones), and which fractures may be dominating the water chemistry of the open borehole.
Marine seismic reflection data acquired across the Gulf of Mexico during oil and gas exploration are available to the public through an online database archive. The data are archived as two-dimensional multichannel seismic data in two digital formats. The formats include image files in portable document format (PDF), and binary files in industry standard Society for Exploration Geophysicists revision Y (SEG-Y) format. Also included in the database are navigation files and acquisition information associated with the collection of the data.
This study examines the data acquired within two geographic areas in the northern Gulf of Mexico. Although the seismic reflection data are acquired for oil and gas exploration many kilometers below the seafloor, this study focuses on the feasibility of using the data for near-surface geologic and seafloor morphologic studies (<100 meters below the seafloor). The report outlines the methodologies used to recover and process the data, including computer processing steps to convert the PDF imagery into SEG-Y format. The report includes two-dimensional profiles of the data to demonstrate the efficacy of the data in near-surface geologic studies. The study found that, for the two areas of interest, the seafloor reflectors in most of the available data are not resolvable. Although the data are readily available and computer processing can adequately image the uppermost reflectors of the seismic profiles, the resolution of the data in most cases are not suitable for near-surface geologic evaluations.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm2E4","issn":"2328-7055","collaboration":"Prepared in cooperation with the Bureau of Ocean and Energy Management","programNote":"Coastal and Marine Hazards and Resources Program","usgsCitation":"Flocks, J., Forde, A., and Bosse, S., 2023, Evaluating oil and gas industry two-dimensional multichannel seismic data for use in near-surface assessment of geologic framework and potential marine minerals resources: U.S. Geological Survey Techniques and Methods, book 2, chap. E4, 25 p., https://doi.org/10.3133/tm2E4.","productDescription":"Report: viii, 25 p.; Data Release","numberOfPages":"38","onlineOnly":"Y","ipdsId":"IP-145218","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":419907,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://walrus.wr.usgs.gov/namss/","text":"U.S. Geological Survey database—National Archive of Marine Seismic Surveys (NAMSS)"},{"id":419905,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/tm/02/e4/tm2E4.XML","linkFileType":{"id":8,"text":"xml"},"description":"Techniques and Methods, book 2, chap. E4 XML"},{"id":419903,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/02/e4/tm2E4.pdf","size":"11.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Techniques and Methods, book 2, chap. E4 pdf"},{"id":419902,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/02/e4/coverthb.jpg"},{"id":420017,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/tm2E4/full","description":"Techniques and Methods, book 2, chap. E4 HTML"},{"id":419904,"rank":2,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/tm/02/e4/images"}],"country":"United States","state":"Alabama, Florida, Louisiana, Mississippi, Texas","otherGeospatial":"northern Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -96.64481214506837,\n 30.353047922248734\n ],\n [\n -96.4342072827106,\n 25\n ],\n [\n -83.21418390807747,\n 25\n ],\n [\n -82.7732558453231,\n 30.619210947002145\n ],\n [\n -96.64481214506837,\n 30.353047922248734\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, St. Petersburg Coastal and Marine Science Center
600 4th Street South
St. Petersburg, FL 33701
The Souris River Basin is an international basin in southeast Saskatchewan, north-central North Dakota, and southwest Manitoba. Sustained exceedances of water-quality objectives for total phosphorus, sodium, sulfate, total dissolved solids, and total iron have been reported since the late 1990s at the two binational sites on the Souris River (Souris River near Sherwood, North Dakota [U.S. Geological Survey station 05114000] and Souris River near Westhope, N. Dak. [U.S. Geological Survey station 05124000]). To understand conditions at the binational sites, it is important to understand water-quality changes on a basin-wide scale. Because streamflow is highly variable in the basin and changes in streamflow affect water-quality conditions, it is particularly important to use a trend-analysis method that accounts for changes in streamflow. Trends in water-quality concentrations can be affected by human-induced changes on the landscape or natural changes in land-runoff interactions that are driven by climate patterns and reflected by changes in streamflow (commonly referred to as “hydroclimatic variability”). In the primarily agricultural Souris River Basin, human-induced changes that are likely to affect trends are widespread changes in agricultural management such as fertilizer application, tilling practices, and crop types, as well as dam emplacement and artificial drainage. Around 1970, there was a long-term natural (hydroclimatic) change in the basin in which a significant transition from a dry climate state to a wet climate state resulted in higher streamflow in the basin. To assist the International Souris River Board in assessing current water-quality conditions in the Souris River Basin and exceedances of water-quality objectives at the binational sites, the U.S. Geological Survey, in cooperation with the International Joint Commission, completed a comprehensive analysis for selected ions, nutrients, and trace metals for many sites in the basin that included descriptive water-quality statistics, trend analysis using a trend method that considers interannual hydroclimatic variability, and an assessment of exceedances of the water-quality objectives for the binational sites.
Water-quality and streamflow or reservoir inflow or outflow data were compiled for 34 sites (30 stream sites and four reservoir sites) and 23 constituents with established water-quality objectives from 1970 to 2020 in the Souris River Basin and were used for descriptive statistics and water-quality trend analysis. Median total dissolved solids, sulfate, and sodium concentrations were low in the headwaters of the Souris River and some of the highest median concentrations were measured in the upper basin. At main-stem Souris River sites, all median sodium concentrations were greater than the binational water-quality objective. Median total phosphorus concentrations in the Souris River Basin were highest in the headwaters of the Souris River and all sites had median concentrations greater than the water-quality objective. Median total iron concentrations were highly variable across the basin, and for most main-stem sites, median concentrations were greater than or equal to the water-quality objective.
During the recent period (2009–19), the annual flow-averaged concentrations of total dissolved solids and sulfate increased for nearly all stream sites with most sites having mildly significant or significant increases. One-half of the sites had an annual flow-averaged geometric mean concentration greater than the total dissolved solids water-quality objective, and four sites had sulfate increases greater than 100 milligrams per liter. Trends in annual flow-averaged concentrations of sodium and chloride generally were small and nonsignificant. Most sites had concentrations greater than the sodium water-quality objective, whereas all sites had concentrations much less than the chloride water-quality objective. Annual flow-averaged geometric mean concentration of total phosphorus decreased for nearly all sites across the Souris River Basin, but all sites had concentrations greater than the total phosphorus water-quality objective for the entire period. Small and nonsignificant changes in annual flow-averaged geometric mean concentration of total iron were detected at all sites but the binational site at Sherwood, N. Dak., and by 2019 all sites had concentrations greater than the total iron water-quality objective. For the reservoir sites, during 2000–15, mostly significant increases for total dissolved solids, sulfate, and sodium were detected, whereas changes in total phosphorus and total iron were mixed.
During the historical period (1976–2019), large and consistent increases in total dissolved solids and sulfate have occurred since the late 1980s, with the largest increases and the most sites with mildly significant or significant increases generally occurring during the middle period (1988–2005). Large and significant or mildly significant increases in sodium concentrations occurred at eight of 10 sites in the middle period (1988–2005), and by the late period (2005–19) changes were small and nonsignificant. Similar to other basins in the region, such as the Red River of the North and Heart River, large and overall consistent increases since the late 1980s in total dissolved solids and sulfate in the Souris River Basin suggest that long-term natural (hydroclimatic) processes are large contributors to increases in the concentration of salts in streams and reservoirs associated with the onset of wetter conditions. The concurrent increases in sulfate and sodium concentrations at all sites during the middle period (1988–2005) suggest that sodium-sulfate evaporite dissolution may be a factor contributing to increases.
Total phosphorus concentrations oscillated between increasing and decreasing during the historical period, with concentrations increasing during the first trend period (1976–88) and decreasing in the fourth trend period (2009–19) to the lowest flow-averaged geometric mean concentration by 2019 for most sites. During the historical period, changes in total iron concentrations were mostly nonsignificant and generally small, and variability in total iron concentrations likely affected the ability to detect statistically significant changes in concentration.
The probability of exceeding the water-quality objective for total dissolved solids, sulfate, and sodium increased between 1976 and 2019 for the binational sites, especially for sulfate, which more than doubled for Souris River near Sherwood, N. Dak. and increased more than seven times for Souris River near Westhope, N. Dak. Total phosphorus and total iron concentrations for the binational sites were likely to exceed the water-quality objective for most of the year, but seasonal patterns of total phosphorus and total iron concentrations were different between the sites, suggesting that different factors may affect concentrations at different times of the year. For sodium, total phosphorus, and total iron, exceedance of the water-quality objective most of the time is not unexpected given that the flow-averaged geometric mean concentration for these three constituents for most sites across the basin are greater than the water-quality objective for most of the period. If natural processes are affecting total dissolved solids and sulfate concentrations, concentrations would be expected to vary with time, and as a result, extended periods of concentrations greater or less than the water-quality objective are likely to occur depending upon climatic conditions.
A better understanding of the state of water quality across the Souris River Basin is beneficial to understanding and interpreting water-quality conditions at the two Souris River binational sites. The most consistent spatial and temporal change observed for this study was large and consistent increases in sulfate and total dissolved solids among tributary and main-stem sites since the late 1980s. For sulfate and total dissolved solids, wetter climatic conditions combined with naturally occurring and abundant sources of sulfate likely contributed to sustained exceedances of water-quality objectives in recent decades, and extended periods of concentrations greater than or less than the water-quality objective are likely to occur depending on climatic conditions. For sodium, total iron, and total phosphorus, sustained exceedances of the current water-quality objective likely will continue because most sites across the basin had flow-averaged geometric mean concentrations greater than the water-quality objective; and during the 43-year period of analysis, regardless of climatic conditions, exceedances were consistently greater than the water-quality objective. Further investigation into the factors causing increasing sulfate concentrations and a better understanding of reservoir dynamics would enhance the understanding of changes in water-quality conditions in the Souris River Basin.
The basin-wide approach of this report provided an improved understanding of water-quality conditions in the Souris River Basin, and results can be used to inform the current water-quality objectives, inform potential changes to water management in the basin, and serve as a starting point for tracking future progress. Gaps in understanding of water-quality conditions can be closed through continued monitoring and further investigation into causes behind changes in water-quality conditions identified in this report.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235084","collaboration":"Prepared in cooperation with the International Joint Commission","usgsCitation":"Nustad, R.A., and Tatge, W.S., 2023, Comprehensive water-quality trend analysis for selected sites and constituents in the International Souris River Basin, Saskatchewan and Manitoba, Canada, and North Dakota, United States, 1970–2020: U.S. Geological Survey Scientific Investigations Report 2023–5084, 83 p., https://doi.org/10.3133/sir20235084.","productDescription":"Report: viii, 83 p.; 4 Linked Tables; Data Release; Dataset","numberOfPages":"98","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-142196","costCenters":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":419898,"rank":5,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2023/5084/sir20235084_tables1.1-1.4.xlsx","text":"Appendix tables 1.1–1.4","size":"79.1 kB","linkFileType":{"id":3,"text":"xlsx"}},{"id":419895,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5084/sir20235084.pdf","text":"Report","size":"20.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023–5084"},{"id":419896,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5084/sir20235084.XML"},{"id":419899,"rank":6,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2023/5084/sir20235084_tables1.1-1.4.zip","text":"Appendix tables 1.1–1.4","size":"14 kB","linkFileType":{"id":7,"text":"csv"}},{"id":419897,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5084/images"},{"id":419894,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5084/coverthb.jpg"},{"id":419900,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TZAQ75","text":"USGS data release","linkHelpText":"Data and scripts used in water-quality trend analysis in the International Souris River Basin, Saskatchewan and Manitoba, Canada, and North Dakota, United States, 1970–2020"},{"id":501048,"rank":10,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115217.htm","linkFileType":{"id":5,"text":"html"}},{"id":419901,"rank":8,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"—USGS water data for the Nation"},{"id":419970,"rank":9,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235084/full","text":"Report","linkFileType":{"id":5,"text":"html"}}],"country":"Canada, United States","state":"Manitoba, North Dakota, Saskatchewan","otherGeospatial":"International Souris River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105,\n 50.5\n ],\n [\n -105,\n 47.5\n ],\n [\n -99,\n 47.5\n ],\n [\n -99,\n 50.5\n ],\n [\n -105,\n 50.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Dakota Water Science Center
U.S. Geological Survey
821 East Interstate Avenue, Bismarck, ND 58503
1608 Mountain View Road, Rapid City, SD 57702
Contamination from acid mine drainage affects ecosystems and usability of groundwater for domestic and municipal purposes. The Captain Jack Superfund Site outside of Ward, Boulder County, Colorado, USA, hosts a draining mine adit that was remediated through emplacement of a hydraulic bulkhead to preclude acid mine drainage from entering nearby Lefthand Creek. During impoundment of water within the mine workings in 2020, a diverse and novel dataset of stable isotopes of water, sulfate, and carbon (δ2H, δ18OH2O, δ18OSO4, δ34S, δ13CDIC), rare earth elements, and environmental tracers (noble gases and tritium) were collected to understand groundwater recharge and mixing, mechanisms of sulfide oxidation and water-rock interaction, and the influence of remediation on the hydrologic and geochemical system. Water isotopes indicate that groundwater distal from the mine workings has seasonally variable recharge sources whereas water within the workings has a distinctive composition with minimal temporal variability. Sulfate isotopes indicate that sulfide oxidation occurs both within the mine workings and in adjacent igneous dikes, and that sulfide oxidation may occur under suboxic conditions with ferric iron as the oxidant. Carbon isotopes track the neutralization of acidic waters and the carbon mass budget of the system. Rare earth elements corroborate stable isotopes in indicating groundwater compartmentalization, and additionally illustrate enhanced mineral weathering in the mine workings. Environmental tracers indicate mixing of modern and pre-modern groundwater and inform timelines that active remediation may be needed. Together these datasets provide a useful template for similar investigations of abandoned mine sites where physical mixing processes, sources of solute loading, or remediation timeframes are of importance.
Floodplains provide critical ecosystem services to people by regulating floodwaters and retaining sediments and nutrients. Geospatial analyses, field data collection, and modeling were integrated to quantify a portfolio of services that floodplains provide to downstream communities within the Chesapeake Bay and Delaware River watersheds. The portfolio of services included floodplain sediment and nutrient retention and flood regulation. Sediment and nutrient retention were quantified and valued for all non-tidal wadable streams in the Chesapeake Bay and Delaware River watersheds. Predicted nitrogen fluxes from measurements of streambanks and floodplain geomorphic changes were summarized at various scales (river basin, state, and county) and valued using a benefits transfer approach. Floodplain flood regulation services were assessed through a pilot study focused on the Schuylkill River watershed in the Delaware River watershed. Geospatial analysis and published flood frequency estimates were used to assess baseline and counterfactual (i.e., floodplain storage removed) scenarios. Flood regulation was valued using the Federal Emergency Management Agency's Hazus model to compare differences in structural damage to private residences under baseline and counterfactual scenarios. The estimated value of floodplain sediment and nutrient retention was \\$223 million United States dollars (USD) per year in the Chesapeake Bay watershed and \\$38 million USD per year in the Delaware River watershed. Sediment and nutrient retention benefits were offset by a streambank erosion cost of \\$123 million and \\$14 million USD annually in the Chesapeake and Delaware watersheds, respectively. In the Schuylkill River watershed floodplain flood regulation was valued at \\$860,000 USD per year, with an additional \\$7.2 million USD annually provided through floodplain sediment and nutrient retention. Together this portfolio of floodplain ecosystem services indicates that floodplains provide substantial benefits to people by trapping nutrients and storing floodwaters.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2023.118747","usgsCitation":"Hopkins, K.G., Welles, J.S., Pindilli, E., Noe, G.E., Claggett, P., Ahmed, L., and Metes, M.J., 2023, Societal benefits of floodplains in the Chesapeake Bay and Delaware River watersheds: Sediment, nutrient, and flood regulation ecosystem services: Journal of Environmental Management, v. 345, 118747, 16 p., https://doi.org/10.1016/j.jenvman.2023.118747.","productDescription":"118747, 16 p.","ipdsId":"IP-152558","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":442357,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2023.118747","text":"Publisher Index Page"},{"id":435217,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YPYM5M","text":"USGS data release","linkHelpText":"Depth grids for floodplain flood attenuation baseline and counterfactual scenarios in the Schuylkill River watershed, Pennsylvania"},{"id":420003,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay and Delaware River watersheds","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.1904296875,\n 38.41916639395372\n ],\n [\n -75.006262865182,\n 38.64261790634527\n ],\n [\n -74.92097299598942,\n 38.82513294548137\n ],\n [\n -74.95523235826727,\n 39.01480059327355\n ],\n [\n -74.98108385354324,\n 39.38993511013268\n ],\n [\n -74.61340039785888,\n 39.96936222278294\n ],\n [\n -74.5203528506148,\n 40.46895174388846\n ],\n [\n -74.41759705846424,\n 40.6047748777424\n ],\n [\n -74.44732739276532,\n 40.75342217887496\n ],\n [\n -74.40340437495048,\n 40.728474680303194\n ],\n [\n -74.47708002175115,\n 40.85479392507912\n ],\n [\n -74.4299060591777,\n 40.93008343537304\n ],\n [\n -74.46802196579677,\n 40.86351877308751\n ],\n [\n -74.42795549232233,\n 40.99324569064182\n ],\n [\n -74.28836187677122,\n 41.38404054741766\n ],\n [\n -74.28640016257373,\n 41.50705880870238\n ],\n [\n -74.3374418168302,\n 41.70815378880656\n ],\n [\n -74.35683601195834,\n 41.95476851029854\n ],\n [\n -74.33680277522154,\n 41.78042596721141\n ],\n [\n -74.35488544510297,\n 41.88366305784257\n ],\n [\n -74.39170097381837,\n 42.188769356141364\n ],\n [\n -74.27795885354324,\n 42.28592136674144\n ],\n [\n -74.520263671875,\n 42.415346114253616\n ],\n [\n -74.278564453125,\n 42.54498667313236\n ],\n [\n -74.322509765625,\n 42.64204079304426\n ],\n [\n -74.410400390625,\n 42.80346172417078\n ],\n [\n -74.68505859374999,\n 42.924251753870685\n ],\n [\n -75.069580078125,\n 42.98053954751642\n ],\n [\n -75.38818359375,\n 42.96446257387128\n ],\n [\n -75.684814453125,\n 42.93229601903058\n ],\n [\n -75.9375,\n 42.87596410238256\n ],\n [\n -76.201171875,\n 42.827638636242284\n ],\n [\n -76.26708984375,\n 42.72280375732727\n ],\n [\n -76.2890625,\n 42.601619944327965\n ],\n [\n -76.2890625,\n 42.52069952914966\n ],\n [\n -76.343994140625,\n 42.415346114253616\n ],\n [\n -76.46484375,\n 42.382894009614034\n ],\n [\n -76.640625,\n 42.431565872579185\n ],\n [\n -76.7724609375,\n 42.39912215986002\n ],\n [\n -76.80541992187499,\n 42.24478535602799\n ],\n [\n -76.88232421875,\n 42.285437007491545\n ],\n [\n -76.9482421875,\n 42.415346114253616\n ],\n [\n -77.04711914062499,\n 42.44778143462245\n ],\n [\n -77.14599609375,\n 42.415346114253616\n ],\n [\n -77.2998046875,\n 42.382894009614034\n ],\n [\n -77.222900390625,\n 42.54498667313236\n ],\n [\n -77.442626953125,\n 42.69858589169842\n ],\n [\n -77.574462890625,\n 42.60970621339408\n ],\n [\n -77.640380859375,\n 42.48830197960227\n ],\n [\n -77.728271484375,\n 42.439674178149424\n ],\n [\n -77.6513671875,\n 42.31793945446847\n ],\n [\n -77.596435546875,\n 42.22851735620852\n ],\n [\n -77.5634765625,\n 42.09007006868398\n ],\n [\n -77.6953125,\n 41.92680320648791\n ],\n [\n -77.9150390625,\n 41.83682786072714\n ],\n [\n -78.0908203125,\n 41.795888098191426\n ],\n [\n -78.453369140625,\n 41.599013054830216\n ],\n [\n -78.453369140625,\n 41.50857729743935\n ],\n [\n -78.42041015625,\n 41.376808565702355\n ],\n [\n -78.3984375,\n 41.21172151054787\n ],\n [\n -78.519287109375,\n 41.054501963290505\n ],\n [\n -78.541259765625,\n 40.9218144123785\n ],\n [\n -78.409423828125,\n 40.713955826286046\n ],\n [\n -78.299560546875,\n 40.55554790286311\n ],\n [\n -78.343505859375,\n 40.48873742102282\n ],\n [\n -78.475341796875,\n 40.30466538259176\n ],\n [\n -78.64013671875,\n 40.06125658140474\n ],\n [\n -78.826904296875,\n 39.9434364619742\n ],\n [\n -78.848876953125,\n 39.80853604144591\n ],\n [\n -78.85986328125,\n 39.715638134796336\n ],\n [\n -78.99169921875,\n 39.69873414348139\n ],\n [\n -79.046630859375,\n 39.64799732373418\n ],\n [\n -79.266357421875,\n 39.436192999314095\n ],\n [\n -79.420166015625,\n 39.2832938689385\n ],\n [\n -79.354248046875,\n 39.26628442213066\n ],\n [\n -79.266357421875,\n 39.232253141714885\n ],\n [\n -79.2333984375,\n 39.155622393423215\n ],\n [\n -79.244384765625,\n 39.01918369029134\n ],\n [\n -79.27734374999999,\n 38.89103282648846\n ],\n [\n -79.398193359375,\n 38.74551518488265\n ],\n [\n -79.661865234375,\n 38.54816542304656\n ],\n [\n -79.683837890625,\n 38.47079371120379\n ],\n [\n -79.727783203125,\n 38.34165619279595\n ],\n [\n -79.815673828125,\n 38.20365531807149\n ],\n [\n -80.04638671875,\n 38.013476231041935\n ],\n [\n -80.17822265625,\n 37.779398571318765\n ],\n [\n -80.2880859375,\n 37.59682400108367\n ],\n [\n -80.4638671875,\n 37.47485808497102\n ],\n [\n -80.694580078125,\n 37.38761749978395\n ],\n [\n -80.771484375,\n 37.23032838760387\n ],\n [\n -80.57373046875,\n 37.26530995561875\n ],\n [\n -80.44189453125,\n 37.309014074275915\n ],\n [\n -80.255126953125,\n 37.31775185163688\n ],\n [\n -80.013427734375,\n 37.3002752813443\n ],\n [\n -79.8486328125,\n 37.23907530202184\n ],\n [\n -79.771728515625,\n 37.18657859524883\n ],\n [\n -79.6728515625,\n 37.07271048132943\n ],\n [\n -79.541015625,\n 37.09900294387622\n ],\n [\n -79.354248046875,\n 37.142803443716836\n ],\n [\n -79.1455078125,\n 37.10776507118514\n ],\n [\n -79.112548828125,\n 37.055177106660814\n ],\n [\n -78.936767578125,\n 36.932330061503144\n ],\n [\n -78.837890625,\n 36.94111143010769\n ],\n [\n -78.662109375,\n 37.055177106660814\n ],\n [\n -78.486328125,\n 37.03763967977139\n ],\n [\n -78.42041015625,\n 36.94111143010769\n ],\n [\n -78.20068359374999,\n 36.96744946416934\n ],\n [\n -77.904052734375,\n 37.03763967977139\n ],\n [\n -77.750244140625,\n 37.081475648860525\n ],\n [\n -77.53051757812499,\n 37.081475648860525\n ],\n [\n -77.354736328125,\n 37.07271048132943\n ],\n [\n -77.069091796875,\n 37.081475648860525\n ],\n [\n -76.959228515625,\n 37.01132594307015\n ],\n [\n -76.893310546875,\n 36.932330061503144\n ],\n [\n -76.871337890625,\n 36.83566824724438\n ],\n [\n -76.849365234375,\n 36.677230602346214\n ],\n [\n -76.7724609375,\n 36.527294814546245\n ],\n [\n -76.629638671875,\n 36.55377524336089\n ],\n [\n -76.46484375,\n 36.589068371399115\n ],\n [\n -76.35498046875,\n 36.48314061639213\n ],\n [\n -76.256103515625,\n 36.57142382346277\n ],\n [\n -76.190185546875,\n 36.66841891894786\n ],\n [\n -76.0693359375,\n 36.65079252503471\n ],\n [\n -75.9375,\n 36.66841891894786\n ],\n [\n -75.948486328125,\n 36.76529191711624\n ],\n [\n -75.904541015625,\n 37.01132594307015\n ],\n [\n -75.926513671875,\n 37.17782559332976\n ],\n [\n -75.882568359375,\n 37.42252593456307\n ],\n [\n -75.618896484375,\n 37.640334898059486\n ],\n [\n -75.509033203125,\n 37.82280243352756\n ],\n [\n -75.38818359375,\n 38.013476231041935\n ],\n [\n -75.16845703124999,\n 38.272688535980976\n ],\n [\n -75.1904296875,\n 38.41916639395372\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"345","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"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":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":880730,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welles, Jacqueline Sage 0000-0001-9218-4369","orcid":"https://orcid.org/0000-0001-9218-4369","contributorId":328592,"corporation":false,"usgs":true,"family":"Welles","given":"Jacqueline","email":"","middleInitial":"Sage","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":880731,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pindilli, Emily 0000-0002-5101-1266 epindilli@usgs.gov","orcid":"https://orcid.org/0000-0002-5101-1266","contributorId":140262,"corporation":false,"usgs":true,"family":"Pindilli","given":"Emily","email":"epindilli@usgs.gov","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":880732,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Noe, Gregory E. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":139100,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"E.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":880733,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Claggett, Peter 0000-0002-5335-2857","orcid":"https://orcid.org/0000-0002-5335-2857","contributorId":238920,"corporation":false,"usgs":true,"family":"Claggett","given":"Peter","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":880734,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ahmed, Labeeb 0000-0003-4524-9611","orcid":"https://orcid.org/0000-0003-4524-9611","contributorId":303117,"corporation":false,"usgs":true,"family":"Ahmed","given":"Labeeb","email":"","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":880735,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Metes, Marina J. 0000-0002-6797-9837","orcid":"https://orcid.org/0000-0002-6797-9837","contributorId":204835,"corporation":false,"usgs":true,"family":"Metes","given":"Marina","middleInitial":"J.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":880736,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70248709,"text":"70248709 - 2023 - The spatial distribution of debris flows in relation to observed rainfall anomalies: Insights from the Dolan Fire, California","interactions":[],"lastModifiedDate":"2023-09-18T16:55:02.058077","indexId":"70248709","displayToPublicDate":"2023-08-18T11:49:30","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":18,"text":"Abstract or summary"},"title":"The spatial distribution of debris flows in relation to observed rainfall anomalies: Insights from the Dolan Fire, California","docAbstract":"A range of hydrologic responses can be observed in steep, recently burned terrain, which makes predicting the spatial distribution of large debris flows challenging. Studies from rainfall-induced landslides in unburned areas show evidence of hydroclimatic tuning of landslide triggering, such that the spatial distribution of events is best predicted by the observed rainfall anomaly relative to climatic norms rather than by absolute rainfall. In this paper, we test whether the spatial distribution of debris flows in response to rainfall can be similarly predicted by rainfall anomaly. The 520 km2 Dolan Fire burn scar in Monterey County, California, USA, spans a sharp hydroclimatic gradient and experienced a widespread storm in January 2021 that triggered floods and debris flows, providing a natural experiment in which to test this hypothesis. In this study, we use remote and field methods to map debris-flow response and examine its spatial heterogeneity. Together with rainfall data, our mapping reveals that the observed anomalies in peak 15-min rainfall intensity (I15) relative to the intensity of the 1-yr return interval storm predict debris-flow occurrence better than the absolute peak I15. Our findings indicate that debris-flow processes and threshold rainfall required for debris-flow initiation may be tuned to local hydroclimate.
","conferenceTitle":"8th International Conference on Debris Flow Hazard Mitigation","conferenceDate":"June 26-29, 2023","conferenceLocation":"Turin, Italy","language":"English","publisher":"EDP Sciences","doi":"10.1051/e3sconf/202341504003","usgsCitation":"Cavagnaro, D.B., McCoy, S., Thomas, M.A., Kostelnik, J., and Lindsay, D.N., 2023, The spatial distribution of debris flows in relation to observed rainfall anomalies: Insights from the Dolan Fire, California, 8th International Conference on Debris Flow Hazard Mitigation, v. 415, Turin, Italy, June 26-29, 2023, 04003, 4 p., https://doi.org/10.1051/e3sconf/202341504003.","productDescription":"04003, 4 p.","ipdsId":"IP-142506","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":442361,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1051/e3sconf/202341504003","text":"Publisher Index Page"},{"id":420912,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Dolan fire","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.7,\n 36.3\n ],\n [\n -121.7,\n 35.9\n ],\n [\n -121.2,\n 35.9\n ],\n [\n -121.2,\n 36.3\n ],\n [\n -121.7,\n 36.3\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"415","noUsgsAuthors":false,"publicationDate":"2023-08-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Cavagnaro, David B.","contributorId":267181,"corporation":false,"usgs":false,"family":"Cavagnaro","given":"David","email":"","middleInitial":"B.","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":883279,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCoy, Scott W.","contributorId":267182,"corporation":false,"usgs":false,"family":"McCoy","given":"Scott W.","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":883280,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thomas, Matthew A. 0000-0002-9828-5539 matthewthomas@usgs.gov","orcid":"https://orcid.org/0000-0002-9828-5539","contributorId":200616,"corporation":false,"usgs":true,"family":"Thomas","given":"Matthew","email":"matthewthomas@usgs.gov","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":883281,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kostelnik, Jaime 0000-0002-1817-5461","orcid":"https://orcid.org/0000-0002-1817-5461","contributorId":300717,"corporation":false,"usgs":true,"family":"Kostelnik","given":"Jaime","email":"","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":883282,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lindsay, Donald N.","contributorId":216337,"corporation":false,"usgs":false,"family":"Lindsay","given":"Donald","email":"","middleInitial":"N.","affiliations":[{"id":12640,"text":"California Geological Survey","active":true,"usgs":false}],"preferred":false,"id":883283,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70247875,"text":"70247875 - 2023 - Cost-benefit analysis for evacuation decision-support: Challenges and possible solutions for applications in areas of distributed volcanism","interactions":[],"lastModifiedDate":"2023-08-22T12:22:23.847473","indexId":"70247875","displayToPublicDate":"2023-08-18T07:20:21","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3841,"text":"Journal of Applied Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Cost-benefit analysis for evacuation decision-support: Challenges and possible solutions for applications in areas of distributed volcanism","docAbstract":"During a volcanic crisis, evacuation is the most effective mitigation measure to preserve life. However, the decision to call an evacuation is typically complex and challenging, in part due to uncertainties related to the behaviour of the volcano. Cost-benefit analysis (CBA) can support decision-makers: this approach compares the cost of evacuating versus the expected loss from not evacuating, expressed as a ‘break-even’ probability of fatality. Here we combine CBA with a Bayesian Event Tree for Short-term Volcanic Hazard (BET_VHst) to create an evacuation decision-support tool to identify locations that are cost-beneficial to evacuate in the event of volcanic unrest within a distributed volcanic field. We test this approach with the monogenetic Auckland Volcanic Field (AVF), situated beneath the city of Auckland, New Zealand. We develop a BET_VHst for the AVF, extending a recently revised Bayesian Event Tree for Eruption Forecasting (BET_EF) to consider the eruptive style, phenomena produced, and the impact exceedance probability as a function of distance. The output of the BET_VHst is a probability of volcanic hazard impact at a given location. Furthermore, we propose amending the weight of the monitoring component within the BET_VHst framework to a transitional parameter, addressing limitations identified in a previous study. We examine how three possible transitional monitoring component weights affect the spatial vent likelihood and subsequent BET_VHst outputs, compared to the current default weight. For the CBA, we investigate four thresholds, based on two evacuation durations and two different estimates for the value of life that determine the cost of not evacuating. The combinations of CBA and BET_VHst are tested using a synthetic unrest dataset to define an evacuation area for each day. While suitable evacuation areas were identified, there are further considerations required before such an approach can be applied operationally to support crisis management.
","language":"English","publisher":"Springer Nature","doi":"10.1186/s13617-023-00133-6","usgsCitation":"Wild, A., Bebbington, M.S., Lindsay, J., and Deligne, N.I., 2023, Cost-benefit analysis for evacuation decision-support: Challenges and possible solutions for applications in areas of distributed volcanism: Journal of Applied Volcanology, v. 12, 7, 25 p., https://doi.org/10.1186/s13617-023-00133-6.","productDescription":"7, 25 p.","ipdsId":"IP-146426","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":442371,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s13617-023-00133-6","text":"Publisher Index Page"},{"id":420008,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"New Zealand","otherGeospatial":"Auckland Volcanic Field vent","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 174.15282322348048,\n -36.41787365700315\n ],\n [\n 174.15282322348048,\n -37.401289436079715\n ],\n [\n 175.62435982533628,\n -37.401289436079715\n ],\n [\n 175.62435982533628,\n -36.41787365700315\n ],\n [\n 174.15282322348048,\n -36.41787365700315\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"12","noUsgsAuthors":false,"publicationDate":"2023-08-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Wild, Alec 0000-0002-7688-5736","orcid":"https://orcid.org/0000-0002-7688-5736","contributorId":328631,"corporation":false,"usgs":false,"family":"Wild","given":"Alec","email":"","affiliations":[{"id":38833,"text":"University of Auckland","active":true,"usgs":false}],"preferred":false,"id":880828,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bebbington, Mark S. 0000-0003-3504-7418","orcid":"https://orcid.org/0000-0003-3504-7418","contributorId":328632,"corporation":false,"usgs":false,"family":"Bebbington","given":"Mark","email":"","middleInitial":"S.","affiliations":[{"id":13571,"text":"Massey University","active":true,"usgs":false}],"preferred":false,"id":880829,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lindsay, Jan 0000-0002-8591-3399","orcid":"https://orcid.org/0000-0002-8591-3399","contributorId":302369,"corporation":false,"usgs":false,"family":"Lindsay","given":"Jan","email":"","affiliations":[{"id":38833,"text":"University of Auckland","active":true,"usgs":false}],"preferred":false,"id":880830,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Deligne, Natalia I. 0000-0001-9221-8581","orcid":"https://orcid.org/0000-0001-9221-8581","contributorId":257389,"corporation":false,"usgs":true,"family":"Deligne","given":"Natalia","email":"","middleInitial":"I.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":880831,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70247938,"text":"70247938 - 2023 - Spatial and temporal variation of large wood in a coastal river","interactions":[],"lastModifiedDate":"2024-02-07T16:37:38.96641","indexId":"70247938","displayToPublicDate":"2023-08-17T08:20:10","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and temporal variation of large wood in a coastal river","docAbstract":"Large wood (LW) is a critical habitat-forming feature in rivers, but our understanding of its spatial and temporal dynamics remains incomplete due to its historical removal from waterways. Few studies have the necessary spatial and temporal extent and resolution to assess wood dynamics over long time periods or in response to flood disturbance. We used an exceptional dataset from 65 km of a free-flowing coastal river in Oregon, USA, to characterize LW dynamics over a 12-year period (1989–2000). Our objectives were to assess the spatial dynamics of LW over multiple spatial scales and characterize changes in these patterns in response to a major flood in November 1996. Higher LW densities were found in the tributaries, and higher temporal variation of density existed in the main stem. Within years and among reaches, LW density varied by 2 to 3 orders of magnitude across the river. Patterns of LW accumulation across the river were not comparably different when considered at spatial resolutions < 6 km. A large flood in 1996 homogenized the wood distribution across the system, particularly at fine spatial scales (that is, 1.5–0.1 km scales), but considerable heterogeneity was reestablished within 2–3 years post disturbance. At the habitat unit scale, LW tended to accumulate in locations with narrow channel widths, and to a lesser extent, in shallow reaches. These data highlight the dynamic nature of the natural wood regime in coastal rivers that is produced by continuous recruitment and transport through the system.
","language":"English","publisher":"SpringerLink","doi":"10.1007/s10021-023-00870-0","usgsCitation":"Yazzie, K., Torgersen, C.E., Schindler, D., and Reeves, G.H., 2023, Spatial and temporal variation of large wood in a coastal river: Ecosystems, v. 27, p. 19-32, https://doi.org/10.1007/s10021-023-00870-0.","productDescription":"14 p.","startPage":"19","endPage":"32","ipdsId":"IP-145063","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":420150,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Elk River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -124.57286598859824,\n 42.864762099604405\n ],\n [\n -124.57286598859824,\n 42.65\n ],\n [\n -124.175,\n 42.65\n ],\n [\n -124.175,\n 42.864762099604405\n ],\n [\n -124.57286598859824,\n 42.864762099604405\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"27","noUsgsAuthors":false,"publicationDate":"2023-08-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Yazzie, Kimberly","contributorId":328733,"corporation":false,"usgs":false,"family":"Yazzie","given":"Kimberly","email":"","affiliations":[],"preferred":false,"id":881132,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Torgersen, Christian E. 0000-0001-8325-2737 ctorgersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8325-2737","contributorId":146935,"corporation":false,"usgs":true,"family":"Torgersen","given":"Christian","email":"ctorgersen@usgs.gov","middleInitial":"E.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":881133,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schindler, Daniel","contributorId":198878,"corporation":false,"usgs":false,"family":"Schindler","given":"Daniel","affiliations":[],"preferred":false,"id":881134,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reeves, Gordon H.","contributorId":101521,"corporation":false,"usgs":false,"family":"Reeves","given":"Gordon","email":"","middleInitial":"H.","affiliations":[{"id":527,"text":"Pacific Northwest Research Station","active":false,"usgs":true}],"preferred":false,"id":881135,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70247841,"text":"70247841 - 2023 - Assessing environmental change associated with early Eocene hyperthermals in the Atlantic Coastal Plain, USA","interactions":[],"lastModifiedDate":"2023-08-22T12:08:00.858115","indexId":"70247841","displayToPublicDate":"2023-08-17T07:06:14","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1250,"text":"Climate of the Past","active":true,"publicationSubtype":{"id":10}},"title":"Assessing environmental change associated with early Eocene hyperthermals in the Atlantic Coastal Plain, USA","docAbstract":"Eocene transient global warming events (hyperthermals) can provide insight into a future warmer world. While much research has focused on the Paleocene–Eocene Thermal Maximum (PETM), hyperthermals of a smaller magnitude can be used to characterize climatic responses over different magnitudes of forcing. This study identifies two events, namely the Eocene Thermal Maximum 2 (ETM2 and H2), in shallow marine sediments of the Eocene-aged Salisbury Embayment of Maryland, based on magnetostratigraphy, calcareous nannofossil, and dinocyst biostratigraphy, as well as the recognition of negative stable carbon isotope excursions (CIEs) in biogenic calcite. We assess local environmental change in the Salisbury Embayment, utilizing clay mineralogy, marine palynology, δ18O of biogenic calcite, and biomarker paleothermometry (TEX86). Paleotemperature proxies show broad agreement between surface water and bottom water temperature changes. However, the timing of the warming does not correspond to the CIE of the ETM2 as expected from other records, and the highest values are observed during H2, suggesting factors in addition to pCO2 forcing have influenced temperature changes in the region. The ETM2 interval exhibits a shift in clay mineralogy from smectite-dominated facies to illite-rich facies, suggesting hydroclimatic changes but with a rather dampened weathering response relative to that of the PETM in the same region. Organic walled dinoflagellate cyst assemblages show large fluctuations throughout the studied section, none of which seem systematically related to CIE warming. These observations are contrary to the typical tight correspondence between climate change and assemblages across the PETM, regionally and globally, and ETM2 in the Arctic Ocean. The data do indicate very warm and (seasonally) stratified conditions, likely salinity-driven, across H2. The absence of evidence for strong perturbations in local hydrology and nutrient supply during ETM2 and H2, compared to the PETM, is consistent with the less extreme forcing and the warmer pre-event baseline, as well as the non-linear response in hydroclimates to greenhouse forcing.
As the United States and its space agency, the National Aeronautics and Space Administration (NASA), looks to send humans back to the Moon, many other countries and their space agencies are also sending orbiters, rovers, and sample return missions across the Solar System. We are living in an extraordinary age of planetary exploration, where every mission builds on the decades of advancements in satellite design and onboard instrumentation. Once we acknowledge this, we can turn to understanding and analyzing the wealth of collected data. Fortunately, the principles and methods used for terrestrial mapping can also be used for extraterrestrial bodies. Herein, we introduce the concepts and some challenges to mapping planetary bodies like the Moon, Mercury, Mars, and the numerous moons we have visited in our outer Solar System. These spacecrafts including orbiter and fly-by missions are often loaded with novel instrument types from intricate pushbroom cameras and multi- and hyper-spectral cameras to radar and laser altimeter instruments.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The Routledge Handbook of Geospatial Technologies and Society","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Taylor & Francis","doi":"10.4324/9780367855765","usgsCitation":"Hare, T.M., 2023, Mapping planetary bodies, chap. of The Routledge Handbook of Geospatial Technologies and Society, p. 562-576, https://doi.org/10.4324/9780367855765.","productDescription":"15 p.","startPage":"562","endPage":"576","ipdsId":"IP-126896","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":420122,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2023-06-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Hare, Trent M. 0000-0001-8842-389X thare@usgs.gov","orcid":"https://orcid.org/0000-0001-8842-389X","contributorId":3188,"corporation":false,"usgs":true,"family":"Hare","given":"Trent","email":"thare@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":812601,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70247900,"text":"70247900 - 2023 - A multi-ecosystem prioritization framework to balance competing habitat conservation needs of multiple species in decline","interactions":[],"lastModifiedDate":"2023-11-07T15:44:25.329372","indexId":"70247900","displayToPublicDate":"2023-08-16T06:37:20","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"A multi-ecosystem prioritization framework to balance competing habitat conservation needs of multiple species in decline","docAbstract":"Individual species often drive habitat restoration action; however, management under this paradigm may negatively affect non-target species. Prioritization frameworks which explicitly consider benefits to target species while minimizing consequences for non-target species may improve management strategies and outcomes.
We examined extents to which conifer removal, an approach frequently implemented to restore sagebrush ecosystems, can be conducted without detrimental effects to conifer-associated species, including the imperiled Pinyon Jay (Gymnorhinus cyanocephalus). Additionally, we prioritized sites for conifer removal, and predicted abundance responses for multiple species following simulated conifer removal at selected sites to achieve variable management objectives.
We used model-predicted changes in species’ densities following simulated conifer removal to identify optimal removal sites under single species, multi-species (ecosystem), and multi-ecosystem management scenarios. We simulated conifer removal at prioritized sites and evaluated resulting changes in abundance for six passerine species.
Management prioritized for a single species (Brewer’s Sparrow) provided the greatest per-unit-effort benefits for that species but resulted in the lowest population outcomes for all other species considered. In comparison, prioritizations for multiple species within a single ecosystem (i.e., pinyon–juniper or sagebrush) resulted in larger population benefits for species associated with that ecosystem and reduced detrimental effects on non-target species associated with another ecosystem. For example, single species management for Brewer’s Sparrow resulted in an average increase of 1.38% for sagebrush-associated species and a 4.58% decrease for pinyon–juniper associated species. In contrast, when managing for multiple sagebrush-associated species sagebrush-associated songbird populations increased by 3.98% and pinyon–juniper associated species decreased by 2.36%, on average.
Our results illustrate single species management can result in detrimental outcomes and/or opportunity costs for non-target species compared to management designed to benefit multiple species. Our framework can be used to balance undesired consequences for non-target species and is adaptable for other systems and taxa.
","language":"English","publisher":"Springer","doi":"10.1007/s10980-023-01712-z","usgsCitation":"Van Lanen, N.J., Shyvers, J.E., Duchardt, C.J., and Aldridge, C.L., 2023, A multi-ecosystem prioritization framework to balance competing habitat conservation needs of multiple species in decline: Landscape Ecology, v. 38, p. 2795-2813, https://doi.org/10.1007/s10980-023-01712-z.","productDescription":"19 p.","startPage":"2795","endPage":"2813","ipdsId":"IP-147313","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":442419,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10980-023-01712-z","text":"Publisher Index Page"},{"id":435222,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9QFTK1D","text":"USGS data release","linkHelpText":"Prioritized sites for conifer removal within the Utah portion of Bird Conservation Region 16, 2020"},{"id":435221,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MJHTMQ","text":"USGS data release","linkHelpText":"Predicted 2020 densities for 11 songbird species across the western United States"},{"id":420062,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","noUsgsAuthors":false,"publicationDate":"2023-08-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Van Lanen, Nicholas J. 0000-0003-0871-0261","orcid":"https://orcid.org/0000-0003-0871-0261","contributorId":302927,"corporation":false,"usgs":true,"family":"Van Lanen","given":"Nicholas","email":"","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":880924,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shyvers, Jessica E. 0000-0002-4307-0004","orcid":"https://orcid.org/0000-0002-4307-0004","contributorId":288929,"corporation":false,"usgs":true,"family":"Shyvers","given":"Jessica","email":"","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":880925,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duchardt, Courtney J. 0000-0003-4563-0199","orcid":"https://orcid.org/0000-0003-4563-0199","contributorId":239754,"corporation":false,"usgs":false,"family":"Duchardt","given":"Courtney","middleInitial":"J.","affiliations":[{"id":48000,"text":"U Wyoming","active":true,"usgs":false}],"preferred":false,"id":880926,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":880927,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70247388,"text":"fs20233029 - 2023 - The 3D Elevation Program—Supporting Oregon's economy","interactions":[],"lastModifiedDate":"2023-08-22T15:10:07.494221","indexId":"fs20233029","displayToPublicDate":"2023-08-15T10:30:00","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-3029","displayTitle":"The 3D Elevation Program—Supporting Oregon’s Economy","title":"The 3D Elevation Program—Supporting Oregon's economy","docAbstract":"Oregon’s physical environments and vegetation are diverse. The varied geologic and climatic conditions combined with increasing population have created the need for high-quality elevation data that can be used for infrastructure management, forestry and wildfire management, agriculture, natural resources conservation, and other business uses. Critical applications that meet the State’s management needs depend on light detection and ranging (lidar) data that provide a highly detailed three-dimensional (3D) model of the Earth’s surface and aboveground features.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20233029","usgsCitation":"Carlson, T., 2023, The 3D Elevation Program—Supporting Oregon's economy: U.S. Geological Survey Fact Sheet 2023–3029, 2 p., https://doi.org/10.3133/fs20233029.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-122479","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":419966,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2023/3029/images/"},{"id":419965,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2023/3029/fs20233029.XML"},{"id":419964,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20233029/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2023-3029"},{"id":419487,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2023/3029/coverthb.jpg"},{"id":419488,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2023/3029/fs20233029.pdf","text":"Report","size":"1.61 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2023-3029"}],"country":"United States","state":"Oregon","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-121.922236,45.649083],[-121.908267,45.654399],[-121.900858,45.662009],[-121.901855,45.670716],[-121.867167,45.693277],[-121.811304,45.706761],[-121.735104,45.694039],[-121.707358,45.694809],[-121.668362,45.705082],[-121.631167,45.704657],[-121.533106,45.726541],[-121.499153,45.720846],[-121.462849,45.701367],[-121.423592,45.69399],[-121.401739,45.692887],[-121.372574,45.703111],[-121.33777,45.704949],[-121.312198,45.699925],[-121.287323,45.687019],[-121.251183,45.67839],[-121.215779,45.671238],[-121.200367,45.649829],[-121.195233,45.629513],[-121.196556,45.616689],[-121.183841,45.606441],[-121.167852,45.606098],[-121.145534,45.607886],[-121.139483,45.611962],[-121.131953,45.609762],[-121.1222,45.616067],[-121.117052,45.618117],[-121.120064,45.623134],[-121.084933,45.647893],[-121.06437,45.652549],[-121.033582,45.650998],[-121.007449,45.653217],[-120.983478,45.648344],[-120.977978,45.649345],[-120.953077,45.656745],[-120.943977,45.656445],[-120.913476,45.640045],[-120.895575,45.642945],[-120.855674,45.671545],[-120.788872,45.686246],[-120.724171,45.706446],[-120.68937,45.715847],[-120.668869,45.730147],[-120.634968,45.745847],[-120.591166,45.746547],[-120.559465,45.738348],[-120.521964,45.709848],[-120.505863,45.700048],[-120.482362,45.694449],[-120.40396,45.699249],[-120.329057,45.71105],[-120.282156,45.72125],[-120.210754,45.725951],[-120.170453,45.761951],[-120.141352,45.773152],[-120.07015,45.785152],[-120.001148,45.811902],[-119.965744,45.824365],[-119.907461,45.828135],[-119.876144,45.834718],[-119.802655,45.84753],[-119.772927,45.845578],[-119.669877,45.856867],[-119.623393,45.905639],[-119.600549,45.919581],[-119.571584,45.925456],[-119.524632,45.908605],[-119.487829,45.906307],[-119.450256,45.917354],[-119.364396,45.921605],[-119.322509,45.933183],[-119.25715,45.939926],[-119.225745,45.932725],[-119.19553,45.92787],[-119.169496,45.927603],[-119.12612,45.932859],[-119.093221,45.942745],[-119.061462,45.958527],[-119.027056,45.969134],[-119.008558,45.97927],[-118.987129,45.999855],[-118.941242,46.000574],[-118.639332,46.000994],[-118.146028,46.000701],[-118.131019,46.00028],[-117.996911,46.000787],[-117.717852,45.999866],[-117.48013,45.99787],[-117.439943,45.998633],[-117.390738,45.998598],[-117.353928,45.996349],[-117.337668,45.998662],[-117.216731,45.998356],[-117.070047,45.99751],[-117.051304,45.996849],[-116.985882,45.996974],[-116.915989,45.995413],[-116.911409,45.988912],[-116.892935,45.974396],[-116.886843,45.958617],[-116.875706,45.945008],[-116.869655,45.923799],[-116.866544,45.916958],[-116.859795,45.907264],[-116.857254,45.904159],[-116.84355,45.892273],[-116.830003,45.886405],[-116.819182,45.880938],[-116.814142,45.877551],[-116.796051,45.858473],[-116.790151,45.849851],[-116.787792,45.844267],[-116.78752,45.840204],[-116.788923,45.836741],[-116.789066,45.833471],[-116.782676,45.825376],[-116.7634,45.81658],[-116.759787,45.816167],[-116.750978,45.818537],[-116.740486,45.82446],[-116.736268,45.826179],[-116.715527,45.826773],[-116.711822,45.826267],[-116.697192,45.820135],[-116.687007,45.806319],[-116.680139,45.79359],[-116.665344,45.781998],[-116.659629,45.780016],[-116.646342,45.779815],[-116.639641,45.781274],[-116.635814,45.783642],[-116.632032,45.784979],[-116.60504,45.781018],[-116.593004,45.778541],[-116.559444,45.755189],[-116.553548,45.753388],[-116.549085,45.752735],[-116.546643,45.750972],[-116.537173,45.737288],[-116.535698,45.734231],[-116.538014,45.714929],[-116.536395,45.69665],[-116.535396,45.691734],[-116.528272,45.681473],[-116.523961,45.677639],[-116.512326,45.670224],[-116.487894,45.649769],[-116.477452,45.631267],[-116.469813,45.620604],[-116.46517,45.617986],[-116.463504,45.615785],[-116.463635,45.602785],[-116.481943,45.577898],[-116.48297,45.577008],[-116.490279,45.574499],[-116.502756,45.566608],[-116.523638,45.54661],[-116.535482,45.525079],[-116.543837,45.514193],[-116.548676,45.510385],[-116.553473,45.499107],[-116.558804,45.481188],[-116.558803,45.480076],[-116.55498,45.472801],[-116.554829,45.46293],[-116.563985,45.460169],[-116.581382,45.448984],[-116.588195,45.44292],[-116.592416,45.427356],[-116.597447,45.41277],[-116.619057,45.39821],[-116.653252,45.351084],[-116.673793,45.321511],[-116.674648,45.314342],[-116.672594,45.298023],[-116.672163,45.288938],[-116.672733,45.283183],[-116.674493,45.276349],[-116.675587,45.274867],[-116.681013,45.27072],[-116.687027,45.267857],[-116.691388,45.263739],[-116.703607,45.239757],[-116.70975,45.217243],[-116.708546,45.207356],[-116.709536,45.203015],[-116.724205,45.171501],[-116.724188,45.162924],[-116.729607,45.142091],[-116.754643,45.113972],[-116.774847,45.105536],[-116.782492,45.09579],[-116.783537,45.093605],[-116.784244,45.088128],[-116.78371,45.076972],[-116.797329,45.060267],[-116.808576,45.050652],[-116.825133,45.03784],[-116.841314,45.030907],[-116.847944,45.022602],[-116.848037,45.021728],[-116.845847,45.01847],[-116.844796,45.015312],[-116.844625,45.001435],[-116.856754,44.984298],[-116.858313,44.978761],[-116.850737,44.958113],[-116.846461,44.951521],[-116.835702,44.940633],[-116.83199,44.933007],[-116.832176,44.931373],[-116.833632,44.928976],[-116.838467,44.923601],[-116.846061,44.905249],[-116.852427,44.887577],[-116.857038,44.880769],[-116.865338,44.870599],[-116.883598,44.858268],[-116.896249,44.84833],[-116.920498,44.81438],[-116.928099,44.808381],[-116.931099,44.804781],[-116.933699,44.798781],[-116.933799,44.796781],[-116.9307,44.789881],[-116.9318,44.787181],[-116.9347,44.783881],[-116.949001,44.777981],[-116.966801,44.775181],[-116.970902,44.773881],[-116.977802,44.767981],[-116.986502,44.762381],[-116.992003,44.759182],[-116.998903,44.756382],[-117.006045,44.756024],[-117.013802,44.756841],[-117.03827,44.748179],[-117.044217,44.74514],[-117.062273,44.727143],[-117.060454,44.721668],[-117.061799,44.706654],[-117.063824,44.703623],[-117.072221,44.700517],[-117.07912,44.692175],[-117.080772,44.684161],[-117.091223,44.668807],[-117.095868,44.664737],[-117.096791,44.657385],[-117.094968,44.652011],[-117.098221,44.640689],[-117.108231,44.62711],[-117.114754,44.624883],[-117.120522,44.614658],[-117.125267,44.593818],[-117.124754,44.583834],[-117.126009,44.581553],[-117.133963,44.57524],[-117.14248,44.57143],[-117.146032,44.568603],[-117.148255,44.564371],[-117.147934,44.562143],[-117.14293,44.557236],[-117.144161,44.545647],[-117.149242,44.536151],[-117.152406,44.531802],[-117.161033,44.525166],[-117.167187,44.523431],[-117.181583,44.52296],[-117.185386,44.519261],[-117.189759,44.513385],[-117.19163,44.509886],[-117.191329,44.506784],[-117.192494,44.503272],[-117.194317,44.499884],[-117.200237,44.492027],[-117.208936,44.485661],[-117.211148,44.485359],[-117.216372,44.48616],[-117.224104,44.483734],[-117.225076,44.482346],[-117.225932,44.479389],[-117.225758,44.477223],[-117.224445,44.473884],[-117.221548,44.470146],[-117.217015,44.459042],[-117.215573,44.453746],[-117.214637,44.44803],[-117.215072,44.427162],[-117.22698,44.405583],[-117.234835,44.399669],[-117.242675,44.396548],[-117.243027,44.390974],[-117.235117,44.373853],[-117.216911,44.360163],[-117.210587,44.357703],[-117.206962,44.355206],[-117.197339,44.347406],[-117.189769,44.336585],[-117.191546,44.329621],[-117.203323,44.313024],[-117.2055,44.311789],[-117.216795,44.308236],[-117.217843,44.30718],[-117.220069,44.301382],[-117.222451,44.298963],[-117.222647,44.297578],[-117.216974,44.288357],[-117.198147,44.273828],[-117.170342,44.25889],[-117.15706,44.25749],[-117.143394,44.258262],[-117.138523,44.25937],[-117.133984,44.262972],[-117.133104,44.264236],[-117.13253,44.267045],[-117.130904,44.269453],[-117.121037,44.277585],[-117.111617,44.280667],[-117.107673,44.280763],[-117.104208,44.27994],[-117.098531,44.275533],[-117.09457,44.270978],[-117.093578,44.269383],[-117.090933,44.260311],[-117.089503,44.258234],[-117.07835,44.249885],[-117.067284,44.24401],[-117.059352,44.237244],[-117.05651,44.230874],[-117.05303,44.229076],[-117.050057,44.22883],[-117.047062,44.229742],[-117.045513,44.232005],[-117.042283,44.242775],[-117.031862,44.248635],[-117.025277,44.248505],[-117.020231,44.246063],[-117.016921,44.245391],[-116.98687,44.245477],[-116.975905,44.242844],[-116.973542,44.23998],[-116.971958,44.235677],[-116.973945,44.225932],[-116.973701,44.208017],[-116.971675,44.197256],[-116.967259,44.194581],[-116.965498,44.194126],[-116.947591,44.191264],[-116.940534,44.19371],[-116.935443,44.193962],[-116.925392,44.191544],[-116.902752,44.179467],[-116.900103,44.176851],[-116.895757,44.171267],[-116.894083,44.160191],[-116.894309,44.158114],[-116.895931,44.154295],[-116.927688,44.109438],[-116.928306,44.107326],[-116.933704,44.100039],[-116.937835,44.096943],[-116.943132,44.09406],[-116.957009,44.091743],[-116.967203,44.090936],[-116.974253,44.088295],[-116.977351,44.085364],[-116.973185,44.049425],[-116.956246,44.042888],[-116.943361,44.035645],[-116.937342,44.029376],[-116.934727,44.023806],[-116.934485,44.021249],[-116.942944,43.987512],[-116.957527,43.972443],[-116.969842,43.967588],[-116.971436,43.964998],[-116.971835,43.962806],[-116.970241,43.958622],[-116.969245,43.957426],[-116.966256,43.955832],[-116.963666,43.952644],[-116.96247,43.928336],[-116.963666,43.921363],[-116.977332,43.905812],[-116.976024,43.895548],[-116.982347,43.86884],[-116.98294,43.86771],[-116.991415,43.863864],[-116.997391,43.864874],[-117.01077,43.862269],[-117.013954,43.859358],[-117.026871,43.832479],[-117.026222,42.000252],[-117.040906,41.99989],[-117.04891,41.998983],[-117.055402,41.99989],[-117.068613,42.000035],[-117.197798,42.00038],[-117.403613,41.99929],[-117.443062,41.999659],[-117.625973,41.998102],[-117.873467,41.998335],[-118.197189,41.996995],[-118.501002,41.995446],[-118.696409,41.991794],[-119.001022,41.993793],[-119.20828,41.993177],[-119.231876,41.994212],[-119.251033,41.993843],[-119.444598,41.995478],[-119.72573,41.996296],[-119.790087,41.997544],[-119.872929,41.997641],[-119.876054,41.997199],[-119.986678,41.995842],[-119.999168,41.99454],[-120.001058,41.995139],[-120.181563,41.994588],[-120.286424,41.993058],[-120.501069,41.993785],[-120.647173,41.993084],[-120.812279,41.994183],[-121.035195,41.993323],[-121.094926,41.994658],[-121.126093,41.99601],[-121.247616,41.997054],[-121.251099,41.99757],[-121.309981,41.997612],[-121.340517,41.99622],[-121.376101,41.997026],[-121.434977,41.997022],[-121.580865,41.998668],[-121.846712,42.00307],[-122.000319,42.003967],[-122.101922,42.005766],[-122.160438,42.007637],[-122.261127,42.007364],[-122.378193,42.009518],[-122.397984,42.008758],[-122.501135,42.00846],[-122.634739,42.004858],[-122.80008,42.004071],[-122.893961,42.002605],[-123.045254,42.003049],[-123.065655,42.004948],[-123.083956,42.005448],[-123.145959,42.009247],[-123.154908,42.008036],[-123.192361,42.005446],[-123.347562,41.999108],[-123.381776,41.999268],[-123.43477,42.001641],[-123.49883,42.000525],[-123.525245,42.001047],[-123.55256,42.000246],[-123.624554,41.999837],[-123.656998,41.995137],[-123.728156,41.997007],[-123.789295,41.996111],[-123.813992,41.995096],[-123.834208,41.996116],[-124.001188,41.996146],[-124.126194,41.996992],[-124.211605,41.99846],[-124.214213,42.005939],[-124.270464,42.045553],[-124.287374,42.046016],[-124.299649,42.051736],[-124.314289,42.067864],[-124.34101,42.092929],[-124.356229,42.114952],[-124.357122,42.118016],[-124.351535,42.129796],[-124.351784,42.134965],[-124.355696,42.141964],[-124.361563,42.143767],[-124.366028,42.152343],[-124.366832,42.15845],[-124.363389,42.158588],[-124.360318,42.162272],[-124.361009,42.180752],[-124.367751,42.188321],[-124.373175,42.190218],[-124.374949,42.193129],[-124.376215,42.196381],[-124.375553,42.20882],[-124.377762,42.218809],[-124.383633,42.22716],[-124.410982,42.250547],[-124.411534,42.254115],[-124.408514,42.260588],[-124.405148,42.278107],[-124.410556,42.307431],[-124.429288,42.331746],[-124.427222,42.33488],[-124.425554,42.351874],[-124.424066,42.377242],[-124.424863,42.395426],[-124.428068,42.420333],[-124.434882,42.434916],[-124.435105,42.440163],[-124.422038,42.461226],[-124.423084,42.478952],[-124.421381,42.491737],[-124.399065,42.539928],[-124.390664,42.566593],[-124.389977,42.574758],[-124.400918,42.597518],[-124.399421,42.618079],[-124.401177,42.627192],[-124.413119,42.657934],[-124.416774,42.661594],[-124.45074,42.675798],[-124.451484,42.677787],[-124.447487,42.68474],[-124.448418,42.689909],[-124.473864,42.732671],[-124.491679,42.741789],[-124.498473,42.741077],[-124.499122,42.738606],[-124.510017,42.734746],[-124.513368,42.735068],[-124.514669,42.736806],[-124.516236,42.753632],[-124.524439,42.789793],[-124.536073,42.814175],[-124.544179,42.822958],[-124.552441,42.840568],[-124.500141,42.917502],[-124.480938,42.951495],[-124.462619,42.99143],[-124.456918,43.000315],[-124.436198,43.071312],[-124.432236,43.097383],[-124.434451,43.115986],[-124.424113,43.126859],[-124.401726,43.184896],[-124.395302,43.211101],[-124.395607,43.223908],[-124.38246,43.270167],[-124.388891,43.290523],[-124.393988,43.29926],[-124.400404,43.302121],[-124.402814,43.305872],[-124.387642,43.325968],[-124.373037,43.338953],[-124.353332,43.342667],[-124.341587,43.351337],[-124.315012,43.388389],[-124.286896,43.436296],[-124.255609,43.502172],[-124.233534,43.55713],[-124.203028,43.667825],[-124.204888,43.673976],[-124.198275,43.689481],[-124.193455,43.706085],[-124.168392,43.808903],[-124.150267,43.91085],[-124.142704,43.958182],[-124.133547,44.035845],[-124.122406,44.104442],[-124.125824,44.12613],[-124.117006,44.171913],[-124.114424,44.198164],[-124.115671,44.206554],[-124.111054,44.235071],[-124.108945,44.265475],[-124.109744,44.270597],[-124.114869,44.272721],[-124.115953,44.274641],[-124.1152,44.286486],[-124.10907,44.303707],[-124.108088,44.309926],[-124.109556,44.314545],[-124.100587,44.331926],[-124.092101,44.370388],[-124.084401,44.415611],[-124.080989,44.419728],[-124.071706,44.423662],[-124.067569,44.428582],[-124.073941,44.434481],[-124.079301,44.430863],[-124.082113,44.441518],[-124.082061,44.478171],[-124.084429,44.486927],[-124.083601,44.501123],[-124.076387,44.531214],[-124.067251,44.60804],[-124.06914,44.612979],[-124.082326,44.608861],[-124.084476,44.611056],[-124.065202,44.622445],[-124.065008,44.632504],[-124.058281,44.658866],[-124.060043,44.669361],[-124.070394,44.683514],[-124.063406,44.703177],[-124.059077,44.737656],[-124.066325,44.762671],[-124.075473,44.771403],[-124.074066,44.798107],[-124.066746,44.831191],[-124.063155,44.835333],[-124.054151,44.838233],[-124.048814,44.850007],[-124.032296,44.900809],[-124.025136,44.928175],[-124.025678,44.936542],[-124.023834,44.949825],[-124.015243,44.982904],[-124.004386,45.046197],[-124.004668,45.048167],[-124.00977,45.047266],[-124.017991,45.049808],[-124.015851,45.064759],[-124.012163,45.076921],[-124.006057,45.084736],[-124.004863,45.084232],[-123.989529,45.094045],[-123.975425,45.145476],[-123.968187,45.201217],[-123.972919,45.216784],[-123.962887,45.280218],[-123.964169,45.317026],[-123.972899,45.33689],[-123.978671,45.338854],[-124.007756,45.336813],[-124.007494,45.33974],[-123.979715,45.347724],[-123.973398,45.354791],[-123.965728,45.386242],[-123.960557,45.430778],[-123.964074,45.449112],[-123.972953,45.467513],[-123.976544,45.489733],[-123.970794,45.493507],[-123.96634,45.493417],[-123.957568,45.510399],[-123.947556,45.564878],[-123.956711,45.571303],[-123.951246,45.585775],[-123.939005,45.661923],[-123.939448,45.708795],[-123.943121,45.727031],[-123.946027,45.733249],[-123.968563,45.757019],[-123.982578,45.761815],[-123.981864,45.768285],[-123.969459,45.782371],[-123.961544,45.837101],[-123.962736,45.869974],[-123.96763,45.907807],[-123.979501,45.930389],[-123.99304,45.938842],[-123.993703,45.946431],[-123.969991,45.969139],[-123.957438,45.974469],[-123.941831,45.97566],[-123.937471,45.977306],[-123.927891,46.009564],[-123.92933,46.041978],[-123.933366,46.071672],[-123.947531,46.116131],[-123.95919,46.141675],[-123.974124,46.168798],[-123.996766,46.20399],[-124.010344,46.223514],[-124.024305,46.229256],[-124.011355,46.236223],[-124.001998,46.237316],[-123.998052,46.235327],[-123.988429,46.224132],[-123.990117,46.21763],[-123.987196,46.211521],[-123.982149,46.209662],[-123.961739,46.207916],[-123.950148,46.204097],[-123.927038,46.191617],[-123.912405,46.17945],[-123.9042,46.169293],[-123.891186,46.164778],[-123.854801,46.157342],[-123.842849,46.160529],[-123.841521,46.169824],[-123.863347,46.18235],[-123.866643,46.187674],[-123.864209,46.189527],[-123.838801,46.192211],[-123.821834,46.190293],[-123.793936,46.196283],[-123.759976,46.2073],[-123.736747,46.200687],[-123.71278,46.198751],[-123.706667,46.199665],[-123.67538,46.212401],[-123.673831,46.215418],[-123.666751,46.218228],[-123.65539,46.217974],[-123.636474,46.214359],[-123.6325,46.216681],[-123.626247,46.226434],[-123.625219,46.233868],[-123.622812,46.23664],[-123.613459,46.239228],[-123.605487,46.2393],[-123.60019,46.234814],[-123.586205,46.228654],[-123.548194,46.248245],[-123.547659,46.259109],[-123.538092,46.26061],[-123.526391,46.263404],[-123.501245,46.271004],[-123.479644,46.269131],[-123.474844,46.267831],[-123.468743,46.264531],[-123.447592,46.249832],[-123.427629,46.229348],[-123.430847,46.181827],[-123.371433,46.146372],[-123.332335,46.146132],[-123.301034,46.144632],[-123.280166,46.144843],[-123.251233,46.156452],[-123.231196,46.16615],[-123.166414,46.188973],[-123.115904,46.185268],[-123.105021,46.177676],[-123.051064,46.153599],[-123.041297,46.146351],[-123.03382,46.144336],[-123.022147,46.13911],[-123.009436,46.136043],[-123.004233,46.133823],[-122.962681,46.104817],[-122.904119,46.083734],[-122.884478,46.06028],[-122.878092,46.031281],[-122.856158,46.014469],[-122.837638,45.98082],[-122.813998,45.960984],[-122.806193,45.932416],[-122.81151,45.912725],[-122.798091,45.884333],[-122.785026,45.867699],[-122.785696,45.844216],[-122.795963,45.825024],[-122.795605,45.81],[-122.769532,45.780583],[-122.761451,45.759163],[-122.760108,45.734413],[-122.772511,45.699637],[-122.774511,45.680437],[-122.76381,45.657138],[-122.738109,45.644138],[-122.713309,45.637438],[-122.691008,45.624739],[-122.675008,45.618039],[-122.643907,45.609739],[-122.602606,45.607639],[-122.581406,45.60394],[-122.548149,45.596768],[-122.523668,45.589632],[-122.492259,45.583281],[-122.479315,45.579761],[-122.474659,45.578305],[-122.453891,45.567313],[-122.438674,45.563585],[-122.410706,45.567633],[-122.391802,45.574541],[-122.380302,45.575941],[-122.352802,45.569441],[-122.331502,45.548241],[-122.294901,45.543541],[-122.266701,45.543841],[-122.262625,45.544321],[-122.248993,45.547745],[-122.2017,45.564141],[-122.183695,45.577696],[-122.14075,45.584508],[-122.112356,45.581409],[-122.101675,45.583516],[-122.044374,45.609516],[-122.022571,45.615151],[-122.00369,45.61593],[-121.983038,45.622812],[-121.963547,45.632784],[-121.955734,45.643559],[-121.951838,45.644951],[-121.935149,45.644169],[-121.922236,45.649083]]]},\"properties\":{\"name\":\"Oregon\",\"nation\":\"USA \"}}]}","contact":"Director, National Geospatial Program
U.S. Geological Survey
12201 Sunrise Valley Drive, Mail Stop 511
Reston, VA 20192
Email: 3DEP@usgs.gov
","tableOfContents":"The Cherokee coal bed is a locally thick and laterally continuous coal bed in the Overland Member of the Paleocene Fort Union Formation in south-central Wyoming. It represents a significant resource that is easily accessible and may be extractable through both surface and underground mining methods. A database of more than 600 data points, comprising coalbed methane wells, coal exploration drill holes, and measured sections, was compiled from a previously released geologic database and reinterpreted to provide a more detailed geologic model for the Cherokee coal bed. The thickest part of the Cherokee coal bed lies along the crest of the Wamsutter arch, an east-west trending anticlinal feature that separates the Great Divide subbasin to north from the Washakie subbasin to the south. The Cherokee coal bed consists of several laterally persistent benches separated by partings that range in thickness from one inch to greater than 100 feet. A series of detailed geologic cross sections through the study area show both the structural geology and the distribution and areal extent of the individual coal benches of the Cherokee coal bed.
Data generated from the geologic model were used in stochastic geostatistical analyses to estimate the remaining or in-place coal resources. Certain parameters, as described later in the text, were applied to calculate available coal resources for surface and underground mining. This study is part of an ongoing process by the U.S. Geological Survey (USGS) to transition from a distance-based approach to a probabilistic approach for determining uncertainty in coal resource assessment. This probabilistic approach uses quantitative statistical methods to determine the potential range of uncertainty in coal resource estimates, whereas the distance-based approach does not provide any mathematical method to determine the range of uncertainty. Using stochastic geostatistical methods, utilizing 100 realizations or gridding iterations of the data, in-place resources were calculated, with a 90 percent probability, to be 15.261 ± 0.464 billion short tons (bst). Available coal resources tonnages were calculated using separate sets of criteria for surface and underground mining methods, based on probable mining parameters. Tonnage values were calculated based on estimated coal densities determined from available coal quality data. Available coal resources that meet the parameters for surface mining methods were calculated, with a 90 percent probability, to be 0.813 ± 0.038 bst.
Available coal resources that meet the parameters for underground mining methods were calculated, with a 90 percent probability, to be 2.393 ± 0.055 bst. The calculations were based on estimates of the resources that meet the parameters for the optimum mining of the thickest coal benches of the Cherokee coal bed. This is depicted in a series of cross sections through the study area that show projected underground mining horizons in the Cherokee coal bed, based on the thickest combinations of individual coal benches.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20235067","programNote":"Energy Resources Program","usgsCitation":"Shaffer, B.N., and Olea, R.A., 2023, Geology and assessment of coal resources for the Cherokee coal bed in the Fort Union Formation, south-central Wyoming: U.S. Geological Survey Scientific Investigations Report 2023–5067, 29 p., https://doi.org/10.3133/sir20235067.","productDescription":"Report: vii, 30 p.; 6 Figures: 36.00 x 24.00 inches; Data Release","onlineOnly":"Y","ipdsId":"IP-132141","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":419765,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P92K1UT6","text":"USGS data release","linkHelpText":"Cherokee coal bed drill hole data from the Fort Union Formation in the Little Snake River coal field and Red Desert area, Wyoming"},{"id":419763,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5067/coverthb2.jpg"},{"id":419764,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5067/sir20235067.pdf","text":"Report","size":"6.73 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5067"},{"id":419766,"rank":4,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/sir/2023/5067/sir20235067_fig07.pdf","text":"Figure 7","size":"108 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5067 Figure 7"},{"id":419768,"rank":6,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/sir/2023/5067/sir20235067_fig09.pdf","text":"Figure 9","size":"104 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5067 Figure 9"},{"id":419769,"rank":7,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/sir/2023/5067/sir20235067_fig16.pdf","text":"Figure 16","size":"96 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5067 Figure 16"},{"id":419770,"rank":8,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/sir/2023/5067/sir20235067_fig17.pdf","text":"Figure 17","size":"104 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5067 Figure 17"},{"id":419771,"rank":9,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/sir/2023/5067/sir20235067_fig18.pdf","text":"Figure 18","size":"104 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5067 Figure 18"},{"id":419767,"rank":5,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/sir/2023/5067/sir20235067_fig08.pdf","text":"Figure 8","size":"104 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5067 Figure 8"},{"id":420209,"rank":10,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5067/images"},{"id":420210,"rank":11,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5067/sir20235067.xml"},{"id":420217,"rank":12,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235067/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2023-5067"},{"id":500948,"rank":13,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115199.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Wyoming","otherGeospatial":"Cherokee Coal Bed, Fort Union Formation","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -108.3333,\n 42\n ],\n [\n -108.3333,\n 41.4167\n ],\n [\n -107.5,\n 41.4167\n ],\n [\n -107.5,\n 42\n ],\n [\n -108.3333,\n 42\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
Digital flood-inundation maps for a 3.4-mile reach of Fourmile Creek at Silver Grove, Kentucky, were created by the U.S. Geological Survey (USGS) in cooperation with the City of Silver Grove and the U.S. Army Corps of Engineers Louisville District. Because the City of Silver Grove is subject to flooding from Fourmile Creek and the Ohio River (backwater flooding up Fourmile Creek), a set of flood-inundation maps was created, including maps for each flooding source considered independently and for possible scenarios involving flooding from both sources combined. The flood-inundation maps depict estimates of the areal extent and depth of flooding corresponding to a range of gage heights (gage height is commonly referred to as “stage,” or the water-surface elevation at a streamgage) at the USGS streamgage on Fourmile Creek at Grays Crossing at Silver Grove, Ky. (station number 03238785), and the USGS streamgage on Fourmile Creek at Highway 8 at Silver Grove, Ky. (station number 03238798). Near-real-time stages at these streamgages can be obtained from the USGS National Water Information System at https://waterdata.usgs.gov/. The USGS streamgage on the Ohio River at Cincinnati, Ohio (station number 03255000), is also important in this study because the National Weather Service (NWS) Advanced Hydrologic Prediction Service (AHPS; https://water.weather.gov/ahps/) forecasts flood hydrographs for this site (NWS AHPS site CCNO1). The peak-stage information forecast by the NWS AHPS can be used in conjunction with the maps developed in this study to show predicted areas of flood inundation.
Flood profiles were computed for the Fourmile Creek study reach by means of a one-dimensional, step-backwater hydraulic model (HEC-RAS) developed by the U.S. Army Corps of Engineers. The hydraulic model was calibrated by using the current stage-discharge relation (USGS rating number 1.1) at USGS streamgage 03238785, Fourmile Creek at Grays Crossing at Silver Grove, Ky. The model was then used to compute water-surface profiles for 83 combinations of flood stages on the Ohio River and Fourmile Creek ranging from approximately base flow to greater than a 2-percent annual exceedance probability flood in the model reach. An additional 50 water-surface profiles were computed for backwater-only flooding (from the Ohio River) for flood elevations (referenced to the North American Vertical Datum of 1988 [NAVD 88]) at 1-foot intervals referenced to USGS streamgage 03238798, Fourmile Creek at Highway 8 at Silver Grove, Ky.; these elevations ranged from approximately normal pool (460 ft, NAVD 88) to approximately a 0.2-percent annual exceedance probability flood (509 ft, NAVD 88) on the Ohio River. The computed water-surface profile information was then combined with a digital elevation model derived from light detection and ranging (lidar) data to delineate the approximate flooded areas.
The digital flood-inundation maps are available through the USGS Flood Inundation Mapper application (https://fim.wim.usgs.gov/fim/), which presents map libraries and provides detailed information on flood extent and depths for selected sites. The flood-inundation maps developed in this study, in conjunction with the real-time stage data from the USGS streamgages on Fourmile Creek at Silver Grove, Ky., and forecasted stream stages from the NWS AHPS, are intended to provide information that can help inform the public about potential flooding and provide emergency management personnel with a tool to efficiently manage emergency flood operations, such as evacuations and road closures, and assist in postflood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235068","collaboration":"Prepared in cooperation with the City of Silver Grove and the U.S. Army Corps of Engineers Louisville District","usgsCitation":"Boldt, J.A., 2023, Flood-inundation maps for Fourmile Creek at Silver Grove, Kentucky: U.S. Geological Survey Scientific Investigations Report 2023–5068, 22 p., https://doi.org/10.3133/sir20235068.","productDescription":"Report: vii, 22 p.; Data Release","numberOfPages":"22","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-130251","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":500949,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115179.htm","linkFileType":{"id":5,"text":"html"}},{"id":418995,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VJSH7D","text":"USGS data release","linkHelpText":"Geospatial datasets and model for the flood-inundation study of Fourmile Creek at Silver Grove, Kentucky"},{"id":418994,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5068/sir20235068.XML"},{"id":418993,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5068/images/"},{"id":418992,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235068/full","text":"Report","description":"SIR 2023-5068"},{"id":418991,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5068/sir20235068.pdf","text":"Report","size":"5.38 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5068"},{"id":418990,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5068/coverthb.jpg"}],"country":"United States","state":"Kentucky","city":"Silver Grove","otherGeospatial":"Fourmile Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -84.5333,\n 39.1333\n ],\n [\n -84.5333,\n 39.0167\n ],\n [\n -84.3583,\n 39.0167\n ],\n [\n -84.3583,\n 39.1333\n ],\n [\n -84.5333,\n 39.1333\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Ohio-Kentucky-Indiana Water Science Center
U.S. Geological Survey
5957 Lakeside Blvd.
Indianapolis, IN 46278-1996
Water withdrawn from rivers and streams accounts for approximately 80 percent of the public water supply in West Virginia. Localized and (or) seasonal droughts may threaten future water availability in the state, particularly in rural communities located in the headwaters of unregulated watersheds. Monthly water withdrawal data obtained from the West Virginia Department of Environmental Protection’s Large Quantity User program’s regulatory database was used to calculate all-time, seasonal, and monthly 75th quantile withdrawal rates for 109 public water system (PWS) intakes withdrawing from surface waters in West Virginia. A drought-vulnerability assessment value was calculated by comparing PWS withdrawal rates to the 1-day, 10-year hydrologically based streamflow statistic (1Q10) for 71 of the 109 PWS in locations with valid streamflow statistics. Withdrawal rates were evaluated against thresholds representing different levels of drought-related impacts from the West Virginia interagency drought plan and ecological-flow literature. The drought-vulnerability assessment found 33 of 71 PWS have 75th quantile withdrawal rates greater than 100 percent of 1Q10 streamflow. Forty-five of 71 PWS have 75th quantile withdrawal rates more than 10 percent of 1Q10 streamflow, suggesting some level of ecological impairment during severe drought. Additionally, a publicly available, near real-time drought-awareness web tool was created to compare the estimated withdrawal rate for 109 PWS to forecast streamflows from the National Water Model to support decision-making for emergency and water managers.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231057","usgsCitation":"Kearns, M.R., Faunce, K.E., and Messinger, T., 2023, Drought-vulnerability assessment of public water systems in West Virginia: U.S. Geological Survey Open-File Report 2023–1057, 14 p., https://doi.org/10.3133/ofr20231057.","productDescription":"Report: viii, 14 p.; Data Release","numberOfPages":"14","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-151563","costCenters":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"links":[{"id":420078,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GHK4Y0","text":"USGS data release","linkHelpText":"Water withdrawal data of selected public water systems in West Virginia, 2014–2020"},{"id":420073,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1057/coverthb.jpg"},{"id":420074,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1057/ofr20231057.pdf","text":"Report","size":"1.25 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2023-1057"},{"id":420075,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20231057/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2023-1057"},{"id":420076,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2023/1057/ofr20231057.XML"},{"id":420077,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2023/1057/images/"},{"id":499784,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115216.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"West Virginia","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-80.075947,39.72135],[-79.476662,39.721078],[-79.478866,39.531689],[-79.482366,39.531689],[-79.487651,39.279933],[-79.486873,39.205961],[-79.476037,39.203728],[-79.43983,39.217074],[-79.424413,39.228171],[-79.425059,39.233686],[-79.42035,39.23888],[-79.412051,39.240546],[-79.387023,39.26554],[-79.376154,39.273154],[-79.35375,39.278039],[-79.343801,39.286096],[-79.344344,39.293534],[-79.33238,39.299919],[-79.314768,39.304381],[-79.290236,39.299323],[-79.283723,39.30964],[-79.282037,39.323048],[-79.255306,39.335874],[-79.25227,39.356663],[-79.213961,39.36532],[-79.195543,39.38779],[-79.179335,39.388342],[-79.176977,39.39213],[-79.16722,39.393256],[-79.159213,39.413021],[-79.143827,39.408517],[-79.140699,39.416649],[-79.129816,39.419901],[-79.129047,39.429542],[-79.117932,39.434412],[-79.11407,39.443321],[-79.104217,39.448358],[-79.095428,39.462548],[-79.098875,39.471438],[-79.096517,39.472799],[-79.068627,39.474515],[-79.056583,39.471014],[-79.052447,39.482315],[-79.046276,39.483801],[-79.036915,39.476795],[-79.030343,39.465403],[-79.017147,39.466977],[-78.967461,39.439804],[-78.956751,39.440264],[-78.953333,39.463645],[-78.938869,39.4741],[-78.942618,39.479614],[-78.933613,39.48618],[-78.918142,39.485858],[-78.891197,39.5189],[-78.885996,39.522581],[-78.874744,39.522611],[-78.851931,39.551848],[-78.851196,39.559924],[-78.838553,39.5673],[-78.816764,39.561691],[-78.813512,39.56772],[-78.820104,39.576287],[-78.82636,39.577333],[-78.826009,39.588829],[-78.818899,39.59037],[-78.812215,39.597717],[-78.809347,39.608063],[-78.795857,39.606934],[-78.801741,39.627488],[-78.795941,39.637287],[-78.781341,39.636787],[-78.775241,39.645687],[-78.76584,39.648487],[-78.76504,39.646087],[-78.777516,39.621712],[-78.763171,39.618897],[-78.748499,39.626262],[-78.736189,39.621708],[-78.733553,39.615533],[-78.747063,39.60569],[-78.751514,39.609947],[-78.760497,39.609984],[-78.77686,39.604027],[-78.778141,39.601364],[-78.76749,39.587487],[-78.756747,39.58069],[-78.746421,39.579544],[-78.733979,39.586618],[-78.72501,39.563973],[-78.694626,39.553251],[-78.689455,39.54577],[-78.657417,39.535068],[-78.623037,39.539512],[-78.600511,39.533434],[-78.593871,39.535158],[-78.587079,39.52802],[-78.567937,39.519902],[-78.521388,39.52479],[-78.5032,39.518652],[-78.471166,39.516103],[-78.462899,39.52084],[-78.461911,39.532971],[-78.45105,39.536695],[-78.449499,39.542281],[-78.438357,39.538753],[-78.430414,39.549418],[-78.424053,39.546315],[-78.418777,39.548953],[-78.426537,39.559155],[-78.454376,39.574319],[-78.458338,39.580426],[-78.454527,39.588958],[-78.443175,39.591155],[-78.408031,39.578593],[-78.395317,39.584215],[-78.397471,39.590232],[-78.425581,39.607599],[-78.433002,39.61652],[-78.43025,39.62329],[-78.420549,39.624021],[-78.383591,39.608912],[-78.374732,39.608635],[-78.372255,39.6112],[-78.382959,39.622246],[-78.382487,39.628216],[-78.373166,39.630459],[-78.35577,39.626258],[-78.353465,39.628912],[-78.359506,39.638081],[-78.351905,39.640486],[-78.266833,39.618818],[-78.254077,39.640089],[-78.223597,39.661097],[-78.233138,39.672875],[-78.227333,39.676121],[-78.202945,39.676653],[-78.192439,39.689118],[-78.176625,39.695967],[-78.107834,39.682137],[-78.089835,39.671668],[-78.08226,39.671166],[-78.035992,39.63572],[-78.011343,39.604083],[-78.00233,39.600488],[-77.976686,39.599744],[-77.966223,39.607435],[-77.957642,39.608614],[-77.950599,39.603944],[-77.951955,39.592709],[-77.946182,39.584814],[-77.93905,39.587139],[-77.936371,39.594508],[-77.93545,39.608076],[-77.944133,39.614617],[-77.94194,39.61879],[-77.932862,39.617676],[-77.923298,39.604852],[-77.888477,39.597343],[-77.880993,39.602852],[-77.886959,39.613329],[-77.885124,39.615775],[-77.833568,39.602936],[-77.829814,39.587288],[-77.83633,39.56637],[-77.878451,39.563493],[-77.888648,39.558054],[-77.886436,39.551947],[-77.865351,39.538381],[-77.866518,39.520039],[-77.86368,39.515032],[-77.84192,39.51847],[-77.839061,39.531117],[-77.827188,39.530458],[-77.823762,39.525907],[-77.82565,39.516895],[-77.845103,39.505845],[-77.845666,39.498628],[-77.80183,39.489395],[-77.791765,39.490789],[-77.781608,39.499067],[-77.765993,39.495724],[-77.769125,39.490281],[-77.797787,39.47876],[-77.796755,39.472448],[-77.778522,39.463663],[-77.779202,39.460392],[-77.798468,39.46067],[-77.798144,39.455981],[-77.786052,39.444224],[-77.80086,39.440841],[-77.802542,39.435969],[-77.792751,39.430593],[-77.763319,39.428436],[-77.754681,39.424658],[-77.735905,39.389665],[-77.738084,39.386211],[-77.752209,39.383328],[-77.753804,39.379624],[-77.743874,39.359947],[-77.74593,39.353221],[-77.759315,39.345314],[-77.761115,39.339757],[-77.755789,39.333899],[-77.719029,39.321125],[-77.734899,39.312409],[-77.747287,39.295001],[-77.762844,39.258445],[-77.768992,39.256417],[-77.770876,39.24976],[-77.767277,39.24938],[-77.771415,39.236776],[-77.793631,39.210125],[-77.805099,39.174222],[-77.821413,39.15241],[-77.822182,39.139985],[-77.828157,39.132329],[-78.347087,39.466012],[-78.349476,39.462205],[-78.345143,39.459484],[-78.346546,39.442616],[-78.353227,39.436792],[-78.346718,39.427618],[-78.359918,39.409028],[-78.349436,39.397252],[-78.350014,39.392861],[-78.343214,39.388807],[-78.366867,39.35929],[-78.34048,39.353492],[-78.338958,39.349889],[-78.347409,39.343402],[-78.34546,39.341024],[-78.35894,39.319484],[-78.364686,39.317312],[-78.367242,39.310148],[-78.385888,39.294888],[-78.419422,39.257476],[-78.399785,39.244129],[-78.404214,39.241214],[-78.405585,39.231176],[-78.437053,39.199766],[-78.436662,39.196658],[-78.424905,39.193301],[-78.428697,39.187217],[-78.426315,39.182762],[-78.403697,39.167451],[-78.427294,39.152726],[-78.436658,39.141691],[-78.439429,39.132146],[-78.459869,39.113351],[-78.484283,39.107372],[-78.49516,39.100992],[-78.516479,39.081802],[-78.522714,39.071062],[-78.540216,39.060631],[-78.571901,39.031995],[-78.550467,39.018065],[-78.570462,39.001552],[-78.593261,38.971918],[-78.601399,38.96653],[-78.608369,38.969743],[-78.611184,38.976134],[-78.618676,38.974082],[-78.619914,38.981288],[-78.625672,38.982575],[-78.638423,38.966819],[-78.646589,38.968138],[-78.65905,38.947375],[-78.680456,38.925313],[-78.688266,38.92478],[-78.69738,38.915602],[-78.704323,38.915231],[-78.718647,38.904561],[-78.7209,38.909844],[-78.717076,38.936028],[-78.738921,38.927283],[-78.750517,38.916029],[-78.759085,38.900529],[-78.786025,38.887187],[-78.869276,38.762991],[-78.993997,38.850102],[-78.998171,38.847353],[-79.006552,38.823712],[-79.019553,38.817912],[-79.027253,38.792113],[-79.046554,38.792113],[-79.054954,38.785713],[-79.051254,38.773913],[-79.060954,38.756713],[-79.072555,38.747513],[-79.085455,38.724614],[-79.092755,38.702315],[-79.090755,38.692515],[-79.084355,38.686516],[-79.092955,38.659517],[-79.106356,38.656217],[-79.120256,38.660216],[-79.129757,38.655017],[-79.151257,38.620618],[-79.170658,38.56922],[-79.205859,38.524521],[-79.210959,38.507422],[-79.206959,38.503522],[-79.210591,38.492913],[-79.221406,38.484837],[-79.224192,38.477763],[-79.240059,38.469841],[-79.242641,38.454168],[-79.253067,38.455818],[-79.267414,38.438322],[-79.282225,38.432078],[-79.279678,38.424173],[-79.282971,38.418095],[-79.288432,38.42096],[-79.312276,38.411876],[-79.476638,38.457228],[-79.521469,38.533918],[-79.53687,38.550917],[-79.555471,38.560217],[-79.571771,38.563117],[-79.649075,38.591515],[-79.661575,38.567316],[-79.659275,38.562416],[-79.665075,38.560916],[-79.669275,38.549516],[-79.666874,38.538317],[-79.672974,38.528717],[-79.662074,38.515517],[-79.670474,38.507717],[-79.680374,38.510617],[-79.682974,38.501317],[-79.694506,38.494232],[-79.697572,38.487223],[-79.69418,38.478311],[-79.699006,38.475148],[-79.698929,38.469869],[-79.688882,38.458714],[-79.689675,38.431439],[-79.706634,38.41573],[-79.72635,38.38707],[-79.731698,38.373376],[-79.727676,38.371701],[-79.725973,38.363229],[-79.740615,38.354101],[-79.764432,38.356514],[-79.77309,38.335529],[-79.79655,38.32348],[-79.810154,38.306707],[-79.802778,38.292073],[-79.795448,38.290228],[-79.789791,38.281167],[-79.788945,38.268703],[-79.806333,38.259193],[-79.811987,38.260401],[-79.819623,38.248234],[-79.830882,38.249687],[-79.835124,38.241892],[-79.846445,38.240003],[-79.850324,38.233329],[-79.891591,38.204652],[-79.898426,38.193045],[-79.916344,38.186278],[-79.921196,38.180378],[-79.916622,38.177994],[-79.918629,38.172671],[-79.915065,38.168088],[-79.918662,38.15479],[-79.925512,38.150237],[-79.933751,38.135508],[-79.944843,38.131585],[-79.938952,38.111619],[-79.92633,38.107151],[-79.953509,38.081484],[-79.973895,38.040004],[-79.973701,38.032556],[-79.986142,38.014182],[-79.994985,38.007853],[-79.999384,37.995842],[-80.04841,37.957481],[-80.074514,37.942221],[-80.096563,37.918112],[-80.102931,37.918911],[-80.118967,37.903614],[-80.117747,37.89772],[-80.129555,37.894134],[-80.141947,37.882616],[-80.148951,37.886892],[-80.162202,37.875122],[-80.176712,37.854029],[-80.183062,37.850646],[-80.179391,37.839751],[-80.199633,37.827507],[-80.206482,37.81597],[-80.227092,37.798886],[-80.227965,37.791714],[-80.215892,37.781989],[-80.215658,37.777481],[-80.230458,37.778305],[-80.246902,37.768309],[-80.251319,37.762958],[-80.24979,37.757111],[-80.25641,37.756372],[-80.262765,37.738336],[-80.252227,37.727261],[-80.296138,37.691783],[-80.279372,37.657077],[-80.267455,37.646108],[-80.239288,37.637672],[-80.220984,37.627767],[-80.240272,37.606961],[-80.258919,37.595499],[-80.328504,37.564315],[-80.312393,37.546239],[-80.330306,37.536244],[-80.309346,37.527381],[-80.291644,37.536505],[-80.282385,37.533517],[-80.299789,37.508271],[-80.327103,37.495376],[-80.366838,37.484879],[-80.36317,37.480001],[-80.371952,37.474069],[-80.425656,37.449876],[-80.46482,37.426144],[-80.475601,37.422949],[-80.494867,37.43507],[-80.49728,37.444779],[-80.492981,37.457749],[-80.511391,37.481672],[-80.561442,37.469775],[-80.645893,37.422147],[-80.705203,37.394618],[-80.770082,37.372363],[-80.783324,37.392793],[-80.806129,37.398074],[-80.808769,37.406271],[-80.836446,37.424355],[-80.844213,37.423555],[-80.859556,37.429568],[-80.865148,37.419927],[-80.862761,37.411829],[-80.883248,37.383933],[-80.849451,37.346909],[-80.868986,37.338573],[-80.900535,37.315],[-80.947896,37.295872],[-80.966556,37.292158],[-80.980146,37.292743],[-80.982173,37.296023],[-80.979106,37.300581],[-80.996013,37.299545],[-81.112596,37.278497],[-81.167029,37.262881],[-81.225104,37.234874],[-81.320105,37.299323],[-81.362156,37.337687],[-81.366315,37.335927],[-81.374455,37.318614],[-81.386727,37.320474],[-81.394287,37.316411],[-81.398548,37.310635],[-81.396817,37.304498],[-81.40506,37.298794],[-81.416663,37.273214],[-81.448285,37.270575],[-81.480144,37.251121],[-81.492287,37.25096],[-81.497773,37.25719],[-81.50319,37.252579],[-81.507325,37.2338],[-81.544437,37.220761],[-81.5536,37.208443],[-81.67821,37.201483],[-81.686717,37.213105],[-81.695113,37.21357],[-81.71573,37.228771],[-81.716248,37.234321],[-81.723061,37.240493],[-81.738543,37.238264],[-81.744003,37.242528],[-81.740974,37.254052],[-81.747656,37.264329],[-81.757531,37.27001],[-81.757631,37.274003],[-81.774684,37.274807],[-81.789294,37.284416],[-81.793425,37.281674],[-81.793595,37.284838],[-81.803275,37.285916],[-81.819625,37.279411],[-81.83447,37.281763],[-81.833406,37.284535],[-81.838762,37.286343],[-81.849949,37.285227],[-81.853551,37.287701],[-81.85446,37.30657],[-81.859624,37.304765],[-81.86476,37.308404],[-81.859928,37.313965],[-81.878713,37.331753],[-81.892876,37.330134],[-81.899459,37.340277],[-81.916678,37.349346],[-81.928497,37.360645],[-81.926697,37.364618],[-81.936744,37.38073],[-81.928778,37.393845],[-81.930042,37.405291],[-81.923481,37.411379],[-81.93695,37.41992],[-81.940553,37.429058],[-81.935316,37.43639],[-81.938843,37.440463],[-81.945765,37.440214],[-81.949367,37.445687],[-81.965582,37.446918],[-81.976176,37.457186],[-81.984891,37.454315],[-81.99227,37.460916],[-81.996578,37.476705],[-81.989849,37.484879],[-81.977593,37.484603],[-81.964986,37.493488],[-81.953264,37.491763],[-81.951831,37.50205],[-81.945957,37.501901],[-81.941151,37.509483],[-81.92787,37.512118],[-81.926391,37.514207],[-81.933088,37.518968],[-81.936996,37.51423],[-81.944756,37.513657],[-81.947545,37.52753],[-81.943981,37.5303],[-81.95663,37.52849],[-81.959362,37.53522],[-81.967583,37.532815],[-81.965401,37.541171],[-81.970147,37.546504],[-81.987511,37.542835],[-81.992597,37.538323],[-81.999844,37.542579],[-82.007412,37.533677],[-82.013966,37.533564],[-82.018878,37.540572],[-82.028826,37.537667],[-82.042825,37.548361],[-82.042396,37.53577],[-82.046653,37.528193],[-82.048463,37.533962],[-82.064418,37.53687],[-82.064418,37.544516],[-82.073246,37.555023],[-82.102893,37.553046],[-82.101946,37.558106],[-82.116584,37.559588],[-82.121985,37.552763],[-82.131776,37.552423],[-82.133495,37.560711],[-82.144648,37.568315],[-82.127303,37.572681],[-82.124372,37.57641],[-82.127321,37.586667],[-82.131977,37.593537],[-82.156718,37.59279],[-82.156741,37.609202],[-82.168137,37.608495],[-82.1692,37.613028],[-82.164767,37.618292],[-82.167126,37.621818],[-82.176682,37.618202],[-82.18143,37.621842],[-82.181398,37.626798],[-82.172762,37.634008],[-82.177511,37.640417],[-82.174688,37.646529],[-82.177625,37.648956],[-82.185456,37.648933],[-82.191444,37.644378],[-82.187298,37.626935],[-82.21349,37.625408],[-82.2202,37.633912],[-82.21669,37.639956],[-82.223602,37.644554],[-82.225535,37.651947],[-82.23939,37.661465],[-82.257111,37.656749],[-82.272021,37.663782],[-82.282297,37.675826],[-82.288174,37.668227],[-82.294393,37.670448],[-82.294392,37.677957],[-82.304501,37.677157],[-82.297126,37.684228],[-82.302886,37.693683],[-82.296634,37.702403],[-82.310665,37.7133],[-82.318302,37.733053],[-82.333044,37.740969],[-82.311642,37.764294],[-82.331162,37.763125],[-82.333816,37.765391],[-82.323696,37.775028],[-82.335981,37.7745],[-82.339705,37.785509],[-82.377393,37.803009],[-82.385259,37.81741],[-82.396978,37.809014],[-82.401652,37.810091],[-82.39968,37.829935],[-82.407874,37.835499],[-82.412172,37.844793],[-82.420484,37.846809],[-82.41546,37.854132],[-82.424264,37.861709],[-82.407459,37.867475],[-82.417679,37.870658],[-82.421484,37.885652],[-82.432113,37.88991],[-82.438582,37.900256],[-82.464297,37.915038],[-82.468197,37.913847],[-82.471223,37.899358],[-82.474574,37.900295],[-82.474666,37.910388],[-82.487556,37.916975],[-82.481001,37.924303],[-82.49574,37.927043],[-82.501862,37.9332],[-82.500386,37.936518],[-82.48916,37.937963],[-82.4973,37.945491],[-82.48512,37.946044],[-82.471801,37.959119],[-82.484265,37.963646],[-82.484413,37.969895],[-82.46938,37.973059],[-82.464257,37.983412],[-82.471629,37.986826],[-82.482695,37.984014],[-82.487732,37.99833],[-82.515974,37.999929],[-82.525817,38.026406],[-82.538639,38.037381],[-82.537293,38.045204],[-82.543916,38.052133],[-82.551259,38.070799],[-82.559598,38.072837],[-82.565736,38.08064],[-82.574075,38.082104],[-82.584039,38.090663],[-82.587782,38.108879],[-82.606589,38.120843],[-82.619452,38.120745],[-82.621167,38.131996],[-82.636466,38.13786],[-82.638947,38.156742],[-82.644739,38.165487],[-82.642997,38.16956],[-82.611343,38.171548],[-82.599326,38.197231],[-82.598437,38.217393],[-82.608944,38.22366],[-82.61252,38.234553],[-82.607131,38.245975],[-82.586061,38.245616],[-82.574656,38.263873],[-82.5746,38.274721],[-82.582823,38.295478],[-82.572893,38.311981],[-82.572691,38.318801],[-82.576936,38.328275],[-82.597979,38.344909],[-82.597524,38.364843],[-82.593008,38.375082],[-82.599273,38.388738],[-82.595001,38.40133],[-82.596281,38.417681],[-82.593673,38.421809],[-82.577176,38.40877],[-82.540199,38.403666],[-82.404882,38.439347],[-82.381773,38.434783],[-82.330335,38.4445],[-82.318111,38.457876],[-82.304223,38.496308],[-82.303971,38.517683],[-82.295671,38.538483],[-82.291271,38.578983],[-82.27427,38.593683],[-82.26207,38.598183],[-82.205171,38.591719],[-82.188767,38.594984],[-82.177267,38.603784],[-82.172066,38.619284],[-82.172667,38.629684],[-82.190867,38.680383],[-82.182467,38.708782],[-82.188268,38.734082],[-82.198882,38.757725],[-82.220449,38.773739],[-82.221566,38.787187],[-82.20929,38.802672],[-82.191172,38.815137],[-82.16157,38.824632],[-82.144867,38.84048],[-82.139224,38.86502],[-82.145267,38.883479],[-82.143167,38.898079],[-82.128866,38.909979],[-82.111666,38.932579],[-82.109065,38.945579],[-82.091565,38.973778],[-82.051563,38.994378],[-82.035963,39.025478],[-82.017562,39.030078],[-82.002261,39.027878],[-81.987061,39.011978],[-81.979371,38.993193],[-81.951447,38.996032],[-81.933186,38.987659],[-81.89847,38.929603],[-81.926671,38.901311],[-81.928352,38.895371],[-81.910312,38.879294],[-81.898541,38.874582],[-81.889233,38.874279],[-81.855971,38.892734],[-81.845312,38.910088],[-81.844486,38.928746],[-81.827354,38.945898],[-81.814235,38.946168],[-81.785647,38.926193],[-81.762659,38.924121],[-81.756975,38.937152],[-81.778845,38.955892],[-81.78182,38.964935],[-81.774062,38.993682],[-81.765153,39.002579],[-81.764253,39.015279],[-81.772854,39.026179],[-81.803355,39.047678],[-81.811655,39.059578],[-81.813855,39.079278],[-81.803055,39.083878],[-81.775554,39.078378],[-81.760753,39.084078],[-81.747253,39.095378],[-81.742953,39.106578],[-81.743565,39.141933],[-81.755815,39.180524],[-81.737085,39.193836],[-81.726973,39.215068],[-81.700908,39.220844],[-81.692395,39.226443],[-81.69638,39.257035],[-81.683627,39.270939],[-81.670187,39.275963],[-81.643178,39.277195],[-81.621305,39.273643],[-81.603352,39.275531],[-81.585559,39.268747],[-81.570247,39.267675],[-81.565247,39.276175],[-81.557547,39.338774],[-81.542346,39.352874],[-81.503189,39.373242],[-81.473188,39.40017],[-81.456143,39.409274],[-81.435642,39.408474],[-81.412706,39.394618],[-81.406689,39.38809],[-81.393794,39.351706],[-81.384556,39.343449],[-81.375961,39.341697],[-81.347567,39.34577],[-81.270716,39.385914],[-81.24184,39.390276],[-81.217315,39.38759],[-81.211654,39.392977],[-81.208231,39.407147],[-81.185946,39.430731],[-81.170634,39.439175],[-81.138134,39.443775],[-81.128533,39.449375],[-81.100833,39.487175],[-81.070594,39.515991],[-80.970436,39.590127],[-80.925841,39.617396],[-80.892208,39.616756],[-80.88036,39.620706],[-80.866647,39.652616],[-80.863698,39.691724],[-80.833882,39.703497],[-80.829764,39.711839],[-80.831551,39.719475],[-80.846091,39.737812],[-80.865339,39.753251],[-80.869092,39.766364],[-80.863048,39.775197],[-80.826079,39.798584],[-80.822181,39.811708],[-80.826124,39.844238],[-80.790761,39.86728],[-80.793989,39.882787],[-80.809011,39.903226],[-80.806018,39.91713],[-80.795714,39.91969],[-80.762592,39.908906],[-80.756432,39.91393],[-80.764479,39.95025],[-80.758527,39.959241],[-80.740126,39.970793],[-80.742045,40.005641],[-80.730904,40.046672],[-80.738604,40.075672],[-80.730704,40.086472],[-80.710203,40.099572],[-80.706702,40.110872],[-80.710042,40.138311],[-80.704602,40.154823],[-80.686137,40.181607],[-80.6681,40.199671],[-80.661543,40.229798],[-80.652098,40.24497],[-80.619297,40.26517],[-80.614896,40.291969],[-80.602895,40.307069],[-80.599895,40.317669],[-80.612796,40.347668],[-80.607595,40.369568],[-80.609695,40.374968],[-80.63074,40.3849],[-80.633596,40.390467],[-80.612195,40.402667],[-80.612295,40.434867],[-80.596094,40.463366],[-80.595494,40.475266],[-80.618003,40.502049],[-80.627507,40.535793],[-80.666917,40.573664],[-80.667781,40.578096],[-80.662564,40.5916],[-80.651716,40.597744],[-80.634355,40.616095],[-80.598764,40.625263],[-80.576736,40.614224],[-80.551126,40.628847],[-80.518991,40.638801],[-80.519342,39.721403],[-80.075947,39.72135]]]},\"properties\":{\"name\":\"West Virginia\",\"nation\":\"USA \"}}]}","contact":"Director, Virginia and West Virginia Water Science Center
U.S. Geological Survey
1730 East Parham Road
Richmond, VA 23228
Background: Burn severity significantly increases the likelihood and volume of post-wildfire debris flows. Pre-fire severity predictions can expedite mitigation efforts because precipitation contributing to these hazards often occurs shortly after wildfires, leaving little time for post-fire planning and management.
Aim: The aim of this study was to predict burn severity using pre-fire conditions of individual wildfire events and estimate potential post-fire debris flow to unburned areas.
Methods: We used random forests to model dNBR from pre-fire weather, fuels, topography, and remotely sensed data. We validated our model predictions against post-fire observations and potential post-fire debris-flow hazard estimates.
Key results: Fuels, pre-fire weather, and topography were important predictors of burn severity, although predictor importance varied between fires. Post-fire debris-flow hazard rankings from predicted burn severity (pre-fire) were similar to hazard assessments based on observed burn severity (post-fire).
Conclusion: Predicted burn severity can serve as an input to post-fire debris-flow models before wildfires occur, antecedent to standard post-fire burn severity products. Assessing a larger set of fires under disparate conditions and landscapes will be needed to refine predictive models.
Implications: Burn severity models based on pre-fire conditions enable the prediction of fire effects and identification of potential hazards to prioritise response and mitigation.
","language":"English","publisher":"CSIRO Publishing","doi":"10.1071/WF22200","usgsCitation":"Wells, A.G., Hawbaker, T., Hiers, J.K., Kean, J.W., Loehman, R.A., and Steblein, P.F., 2023, Predicting burn severity for integration with post-fire debris-flow hazard assessment: A case study from the Upper Colorado River Basin, USA: International Journal of Wildland Fire, v. 32, no. 9, p. 1315-1331, https://doi.org/10.1071/WF22200.","productDescription":"17 p.","startPage":"1315","endPage":"1331","ipdsId":"IP-139674","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":442431,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1071/wf22200","text":"Publisher Index Page"},{"id":423322,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, New Mexico, Utah, Wyoming","otherGeospatial":"Colorado River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.06565163962557,\n 43.427546253490476\n ],\n [\n -110.98798557839956,\n 42.01861589248239\n ],\n [\n -111.167880059579,\n 41.798766051959774\n ],\n [\n -111.44306126894347,\n 39.908461537613874\n ],\n [\n -112.53658323354853,\n 37.68116371252778\n ],\n [\n -111.48694518463799,\n 36.98448253816319\n ],\n [\n -108.9707627610722,\n 35.73546875520603\n ],\n [\n -106.21544190659625,\n 35.95406463803488\n ],\n [\n -105.24197446984596,\n 37.061352239951816\n ],\n [\n -105.22957281158256,\n 38.778571358020145\n ],\n [\n -105.72213937268728,\n 40.11156263554764\n ],\n [\n -106.36800305274357,\n 41.14373257717733\n ],\n [\n -108.44088579766407,\n 42.693595341045835\n ],\n [\n -109.65640871320971,\n 43.49287890884281\n ],\n [\n -111.06565163962557,\n 43.427546253490476\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"32","issue":"9","noUsgsAuthors":false,"publicationDate":"2023-08-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Wells, Adam Gerhard 0000-0001-9675-4963","orcid":"https://orcid.org/0000-0001-9675-4963","contributorId":270137,"corporation":false,"usgs":true,"family":"Wells","given":"Adam","email":"","middleInitial":"Gerhard","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":889876,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hawbaker, Todd 0000-0003-0930-9154 tjhawbaker@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-9154","contributorId":568,"corporation":false,"usgs":true,"family":"Hawbaker","given":"Todd","email":"tjhawbaker@usgs.gov","affiliations":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":889877,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hiers, John Kevin 0000-0002-6813-8941","orcid":"https://orcid.org/0000-0002-6813-8941","contributorId":332282,"corporation":false,"usgs":true,"family":"Hiers","given":"John","email":"","middleInitial":"Kevin","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":889878,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":889879,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Loehman, Rachel A. 0000-0001-7680-1865 rloehman@usgs.gov","orcid":"https://orcid.org/0000-0001-7680-1865","contributorId":187605,"corporation":false,"usgs":true,"family":"Loehman","given":"Rachel","email":"rloehman@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":false,"id":889880,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Steblein, Paul F. 0000-0001-7856-5106","orcid":"https://orcid.org/0000-0001-7856-5106","contributorId":213237,"corporation":false,"usgs":true,"family":"Steblein","given":"Paul","email":"","middleInitial":"F.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":889881,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70256607,"text":"70256607 - 2023 - Conservation at the nexus of niches: Multidimensional niche modeling to improve management of Prairie Chub","interactions":[],"lastModifiedDate":"2024-08-26T15:28:07.371737","indexId":"70256607","displayToPublicDate":"2023-08-11T10:19:49","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Conservation at the nexus of niches: Multidimensional niche modeling to improve management of Prairie Chub","docAbstract":"A central challenge in applied ecology is understanding how organisms are spatially and temporally distributed and how management might be tailored to maintain or restore species distributions. The niche concept is central to understanding species distributions, but the diversity of niche definitions requires that multiple dimensions be considered. For example, the Grinnellian niche concept focuses on environmental conditions that allow species to persist, the Eltonian niche concept stresses the influence of biotic interactions, and the fundamental niche concept considers both abiotic and biotic environmental features to define spaces that organisms could occupy.
We combined abiotic (A), biotic (B), and movement (M) information (collectively, BAM model) to map the multidimensional niche of Prairie Chub Macrhybopsis australis, a regionally endemic freshwater fish currently under review for listing under the Endangered Species Act. We estimated A using remotely sensed environmental riverscape variables, B using the spatial distribution of a hybridization zone between Prairie Chub and Shoal Chub M. hyostoma, and M using data from a mark–recapture study.
The BAM model estimated the spatial extent of multiple niches, including the Grinnellian (A; extent = 944 km of river), Eltonian (B; 2974 km), and fundamental niche (overlap of A + B; 645 km) niches. When A, B, and M components were combined, the estimated extent of the Prairie Chub niche was 645 km.
Our work shows that the realized, multidimensional niche of Prairie Chub includes medium to large rivers with high habitat connectivity in the upper–middle Red River basin upstream of the distribution of Shoal Chub. The current Prairie Chub distribution could be maintained by preventing further habitat fragmentation and maintaining the environmental gradient separating Prairie Chub from Shoal Chub. Expansion of the species distribution may be possible through restoration of longitudinal fluvial connectivity.
","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10860","usgsCitation":"Steffensmeier, Z.D., Brewer, S.K., Wedgeworth, M., Starks, T.A., Rodger, A.W., Nguyen, E., and Perkin, J., 2023, Conservation at the nexus of niches: Multidimensional niche modeling to improve management of Prairie Chub: North American Journal of Fisheries Management, v. 43, no. 5, p. 1205-1224, https://doi.org/10.1002/nafm.10860.","productDescription":"20 p.","startPage":"1205","endPage":"1224","ipdsId":"IP-142909","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":433158,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"5","noUsgsAuthors":false,"publicationDate":"2023-08-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Steffensmeier, Zachary D.","contributorId":341344,"corporation":false,"usgs":false,"family":"Steffensmeier","given":"Zachary","email":"","middleInitial":"D.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":908270,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":908271,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wedgeworth, Maeghen","contributorId":341345,"corporation":false,"usgs":false,"family":"Wedgeworth","given":"Maeghen","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":908272,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Starks, Trevor A.","contributorId":145640,"corporation":false,"usgs":false,"family":"Starks","given":"Trevor","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":908273,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rodger, Anthony W.","contributorId":302586,"corporation":false,"usgs":false,"family":"Rodger","given":"Anthony","email":"","middleInitial":"W.","affiliations":[{"id":27443,"text":"Oklahoma Department of Wildlife Conservation","active":true,"usgs":false}],"preferred":false,"id":908274,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nguyen, Erin","contributorId":341346,"corporation":false,"usgs":false,"family":"Nguyen","given":"Erin","email":"","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":908275,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Perkin, Joshuah S.","contributorId":238286,"corporation":false,"usgs":false,"family":"Perkin","given":"Joshuah S.","affiliations":[{"id":47708,"text":"Department of Wildlife and Fisheries Sciences, Texas A&M University, College Station, TX","active":true,"usgs":false}],"preferred":false,"id":908276,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70250395,"text":"70250395 - 2023 - Automated mapping of culverts, bridges, and dams","interactions":[],"lastModifiedDate":"2023-12-21T16:35:54.551553","indexId":"70250395","displayToPublicDate":"2023-08-11T10:15:52","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Automated mapping of culverts, bridges, and dams","docAbstract":"Accurate maps of built structures around stream channels, such as dams, culverts, and bridges, are vital in monitoring infrastructure, risk management, and hydrologic modeling. Hydrologic modeling is essential for research and decisionmaking related to infrastructure and development planning, emergency management, ecology, and developing hydrographic data. Technological advances in remote sensing afford increasingly fine-scale elevation data, such as the U.S. Geological Survey 1-meter digital elevation models (DEMs), that can accurately model the Earth’s surface characteristics and related hydrologic dynamics. A long-standing challenge in flow modeling is the presence of built structures in an elevation model that resist flow in a way that does not reflect actual dynamics, such as culverts, bridges, and dams. This challenge is exacerbated in fine-scale elevation data as more built structures are resolved. Here we present a test of the extensibility of a culvert and dam detection workflow, culvert-net (CN). CN was developed using a large dataset of field-validated culverts, bridges, and dam locations for Alexander County, North Carolina, USA, supplemented by manual review and identification of additional features. In this workflow, the CN model is tested on a new study area in western Michigan, USA, where culverts and associated hydrography have recently been manually compiled.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Abstracts of the International Cartographic Association","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"31st International Cartographic Conference (ICC 2023)","conferenceDate":"August 13-18, 2023","conferenceLocation":"Cape Town, South Africa","language":"English","publisher":"Copernicus","doi":"10.5194/ica-abs-6-231-2023","usgsCitation":"Shavers, E.J., Stanislawski, L., Schott, J., and Brosseau, Z., 2023, Automated mapping of culverts, bridges, and dams, in Abstracts of the International Cartographic Association, v. 6, Cape Town, South Africa, August 13-18, 2023, 231, 2 p., https://doi.org/10.5194/ica-abs-6-231-2023.","productDescription":"231, 2 p.","ipdsId":"IP-149048","costCenters":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true}],"links":[{"id":442442,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.5194/ica-abs-6-231-2023","text":"Publisher Index Page"},{"id":423839,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","noUsgsAuthors":false,"publicationDate":"2023-08-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Shavers, Ethan J. 0000-0001-9470-5199 eshavers@usgs.gov","orcid":"https://orcid.org/0000-0001-9470-5199","contributorId":206890,"corporation":false,"usgs":true,"family":"Shavers","given":"Ethan","email":"eshavers@usgs.gov","middleInitial":"J.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":889749,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stanislawski, Larry 0000-0002-9437-0576","orcid":"https://orcid.org/0000-0002-9437-0576","contributorId":217849,"corporation":false,"usgs":true,"family":"Stanislawski","given":"Larry","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":889750,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schott, Joel","contributorId":332235,"corporation":false,"usgs":false,"family":"Schott","given":"Joel","email":"","affiliations":[{"id":79425,"text":"Missouri University of Science and Technology, under contract to the U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":889751,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brosseau, Zachary","contributorId":332236,"corporation":false,"usgs":false,"family":"Brosseau","given":"Zachary","email":"","affiliations":[{"id":79425,"text":"Missouri University of Science and Technology, under contract to the U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":889752,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70247703,"text":"70247703 - 2023 - AIMS for wildlife: Developing an automated interactive monitoring system to integrate real-time movement and environmental data for true adaptive management","interactions":[],"lastModifiedDate":"2023-08-14T12:32:07.473699","indexId":"70247703","displayToPublicDate":"2023-08-11T07:31:23","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"AIMS for wildlife: Developing an automated interactive monitoring system to integrate real-time movement and environmental data for true adaptive management","docAbstract":"To effectively manage species and habitats at multiple scales, population and land managers require rapid information on wildlife use of managed areas and responses to landscape conditions and management actions. GPS tracking studies of wildlife are particularly informative to species ecology, habitat use, and conservation. Combining GPS data with administrative data and a diverse suite of remotely sensed, geo-referenced environmental (e.g., climatic) data, would more comprehensively inform how animals interact with and utilize habitats and ecosystems and our goal was to create a conceptual model for a system that would accomplish this – the ‘Automated Interactive Monitoring System (AIMS) for Wildlife’. Our objective for this study was to develop a Customized Wildlife Report (CWR) - the first AIMS for Wildlife deliverable product. CWRs collate and summarize our 8-year GPS tracking dataset of ∼11 million locations from 1338 individual (16 species) avifauna and make actionable, real-time data on animal movements and trends in a specific area of interest available to managers and stakeholders for rapid application in day-to-day management. The CWR exemplar presented in this paper was developed to address needs identified by habitat managers of Sacramento National Wildlife Refuge and illustrates the highly specific, information offered and how it contributes to assessing the efficacy of conservation actions while allowing for near real-time adaptive management. The report can be easily customized for any of the thousands of wildlife refuges or regional areas of interest in the United States, emphasizing the broad application of an animal movement data stream. Utilizing diverse, extensive telemetry data streams through scientific collaboration can aid managers and conservation stakeholders with short and long-term research and conservation planning and help address a cadre of issues from local-scale habitat management to improving the understanding of landscape level impacts like drought, wildfire, and climate change on wildlife populations.
The U.S. Geological Survey (USGS) provides a wide range of streamflow, groundwater, and water-quality data to Government, commercial, academic, and public users. The USGS has a record of success with using optical turbidity sensors to predict suspended-sediment concentrations in rivers and streams. Turbidity sensors collect backscatter signals from suspended particles in water, which can be accurately measured and linked closely to hazardous contaminants that travel on the surfaces of suspended particles. Contaminant concentrations derived from the statistical relations between turbidity and contaminants like copper and lead can then be measured in real-time.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20233032","usgsCitation":"Ellison, C.A., 2023, Predicting water quality in the Clark Fork near Grant-Kohrs Ranch National Historic Site, southwestern Montana: U.S. Geological Survey Fact Sheet 2023–3032, 4 p., https://doi.org/10.3133/fs20233032.","productDescription":"Report: 4 p.; Data Release","numberOfPages":"4","onlineOnly":"N","ipdsId":"IP-149634","costCenters":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":499691,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115178.htm","linkFileType":{"id":5,"text":"html"}},{"id":419659,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20233032/full"},{"id":419605,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2023/3032/fs20233032.pdf","text":"Report","size":"1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2023–3032"},{"id":419604,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2023/3032/coverthb.jpg"},{"id":419606,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2023/3032/fs20233032.XML"},{"id":419607,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2023/3032/images"},{"id":419608,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9330BXM","text":"USGS data release","linkHelpText":"Water quality and streamflow data for the Clark Fork near Grant-Kohrs Ranch National Historic Site in southwestern Montana, water years 2019–2020"}],"country":"United States","state":"Montana","otherGeospatial":"Clark Fork, Grant-Kohrs Ranch National Historic Site","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -112.8301717989599,\n 46.5276604287545\n ],\n [\n -112.8301717989599,\n 46.38873569479347\n ],\n [\n -112.66374787281434,\n 46.38873569479347\n ],\n [\n -112.66374787281434,\n 46.5276604287545\n ],\n [\n -112.8301717989599,\n 46.5276604287545\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Wyoming-Montana Water Science Center
U.S. Geological Survey
3162 Bozeman Avenue
Helena, MT 59601
Given the endemic nature of pollen throughout the environment, the impact upon human health, and the need for more extensive and better measurements of pollen in the USA, a preliminary project within the National Atmospheric Deposition Program’s (NADP) National Trends Network (NTN) was developed. Pollen was measured in ambient air by several methods and in precipitation wet deposition samples at three monitoring sites in the NTN. A method for counting pollen on filters was developed and provided pollen counts for NADP atmospheric wet-deposition samples and high-volume ambient air samplers (HVAS) for comparison with co-located traditional National Allergy Bureau microscopy samples and a commercially available pollen sensor (PS) counting method during the 2021 pollen season. The goals of this project were to test the potential of available air-monitoring infrastructures to obtain improved spatial measurements of aeroallergens, compare pollen counting results from the various methods, and to determine the suitability of using wet deposition samples for pollen collection. The onset and senescence of pollen seasons for general categories of genera compared favorably for each method at each site, indicating that pollen monitoring using wet-deposition and ambient air sampling filters could provide useful information to inform scientific studies, but not likely for public health objectives. Pollen counts were log transformed for Pearson product moment correlation. Tree pollen counts were correlated at all sites for daily PS data and traditional counting data (R = 0.69–0.84), but statistical correlations between methods for grass and weed pollen were weak (0.40 < R < 0.60) or considered not correlated (R < 0.40). Total pollen counts in NADP precipitation samples were correlated with traditional and PS counts at only one of three sites. Pollen counts for the weekly HVAS filter samples were correlated with PS counts for trees (R = 0.62) and with NAB counts for trees (R = 0.68) and weeds (R = 0.72). Correlations in the data between methods suggest that, given further methods development, a variety of techniques could be integrated to expand and enhance existing pollen monitoring networks. Improved ambient air and atmospheric deposition sampling methods specifically targeted for pollen capture and analysis could support the collection of accurate and efficient meaningful aeroallergen data from existing atmospheric monitoring networks.