This brief report presents a relatively inexpensive and rapid method for creating a 3D model of geology from published quadrangle-scale maps and cross sections using Google Earth and Google SketchUp software. An example from the Green Mountains of Vermont, USA, is used to illustrate the step by step methods used to create such a model. A second example is provided from the Jebel Saghro region of the Anti-Atlas Mountains of Morocco. The report was published to help enhance the public's ability to use and visualize geologic map data.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091229","usgsCitation":"Walsh, G.J., 2009, A method for creating a three dimensional model from published geologic maps and cross sections: U.S. Geological Survey Open-File Report 2009-1229, iv, 16 p., https://doi.org/10.3133/ofr20091229.","productDescription":"iv, 16 p.","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":412,"text":"National Cooperative Geologic Mapping Program","active":false,"usgs":true}],"links":[{"id":391703,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_87709.htm"},{"id":125347,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1229.jpg"},{"id":13172,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1229/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Vermont","county":"Addison County, Rutland county, Windsor County","otherGeospatial":"Rochester quadrangle","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.875,\n 43.75\n ],\n [\n -72.75,\n 43.75\n ],\n [\n -72.75,\n 43.875\n ],\n [\n -72.875,\n 43.875\n ],\n [\n -72.875,\n 43.75\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd495be4b0b290850ef17b","contributors":{"authors":[{"text":"Walsh, Gregory J. 0000-0003-4264-8836 gwalsh@usgs.gov","orcid":"https://orcid.org/0000-0003-4264-8836","contributorId":873,"corporation":false,"usgs":true,"family":"Walsh","given":"Gregory","email":"gwalsh@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":303599,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70037866,"text":"70037866 - 2009 - Wildfire risk in the wildland-urban interface: A simulation study in northwestern Wisconsin","interactions":[],"lastModifiedDate":"2021-03-02T13:48:16.175386","indexId":"70037866","displayToPublicDate":"2009-10-10T12:53:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Wildfire risk in the wildland-urban interface: A simulation study in northwestern Wisconsin","docAbstract":"The rapid growth of housing in and near the wildland–urban interface (WUI) increases wildfire risk to lives and structures. To reduce fire risk, it is necessary to identify WUI housing areas that are more susceptible to wildfire. This is challenging, because wildfire patterns depend on fire behavior and spread, which in turn depend on ignition locations, weather conditions, the spatial arrangement of fuels, and topography. The goal of our study was to assess wildfire risk to a 60,000 ha WUI area in northwestern Wisconsin while accounting for all of these factors. We conducted 6000 simulations with two dynamic fire models: Fire Area Simulator (FARSITE) and Minimum Travel Time (MTT) in order to map the spatial pattern of burn probabilities. Simulations were run under normal and extreme weather conditions to assess the effect of weather on fire spread, burn probability, and risk to structures. The resulting burn probability maps were intersected with maps of structure locations and land cover types. The simulations revealed clear hotspots of wildfire activity and a large range of wildfire risk to structures in the study area. As expected, the extreme weather conditions yielded higher burn probabilities over the entire landscape, as well as to different land cover classes and individual structures. Moreover, the spatial pattern of risk was significantly different between extreme and normal weather conditions. The results highlight the fact that extreme weather conditions not only produce higher fire risk than normal weather conditions, but also change the fine-scale locations of high risk areas in the landscape, which is of great importance for fire management in WUI areas. In addition, the choice of weather data may limit the potential for comparisons of risk maps for different areas and for extrapolating risk maps to future scenarios where weather conditions are unknown. Our approach to modeling wildfire risk to structures can aid fire risk reduction management activities by identifying areas with elevated wildfire risk and those most vulnerable under extreme weather conditions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2009.07.051","usgsCitation":"Massada, A.B., Radeloff, V., Stewart, S.I., and Hawbaker, T., 2009, Wildfire risk in the wildland-urban interface: A simulation study in northwestern Wisconsin: Forest Ecology and Management, v. 258, no. 9, p. 1990-1999, https://doi.org/10.1016/j.foreco.2009.07.051.","productDescription":"10 p.","startPage":"1990","endPage":"1999","costCenters":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"links":[{"id":383711,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"northern Wisconsin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.791015625,\n 46.9502622421856\n ],\n [\n -92.1533203125,\n 46.70973594407157\n ],\n [\n -92.4169921875,\n 46.01222384063236\n ],\n [\n -92.92236328125,\n 45.5679096098613\n ],\n [\n -92.6806640625,\n 45.38301927899065\n ],\n [\n -92.83447265624999,\n 44.824708282300236\n ],\n [\n -91.20849609375,\n 43.8028187190472\n ],\n [\n -87.73681640625,\n 43.58039085560784\n ],\n [\n -87.03369140625,\n 45.213003555993964\n ],\n [\n -87.64892578125,\n 45.07352060670971\n ],\n [\n -87.86865234374999,\n 45.537136680398596\n ],\n [\n -88.06640625,\n 45.81348649679973\n ],\n [\n -88.72558593749999,\n 46.057985244793024\n ],\n [\n -90.263671875,\n 46.558860303117164\n ],\n [\n -90.791015625,\n 46.9502622421856\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"258","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bd0d0e4b08c986b32f092","contributors":{"authors":[{"text":"Massada, Avi Bar","contributorId":93744,"corporation":false,"usgs":true,"family":"Massada","given":"Avi","email":"","middleInitial":"Bar","affiliations":[],"preferred":false,"id":462914,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Radeloff, Volker C.","contributorId":76169,"corporation":false,"usgs":true,"family":"Radeloff","given":"Volker C.","affiliations":[],"preferred":false,"id":462912,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stewart, Susan I.","contributorId":78973,"corporation":false,"usgs":true,"family":"Stewart","given":"Susan","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":462913,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":462911,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":97916,"text":"ofr20091200 - 2009 - Multivariate Statistical Models for Predicting Sediment Yields from Southern California Watersheds","interactions":[],"lastModifiedDate":"2012-02-02T00:14:29","indexId":"ofr20091200","displayToPublicDate":"2009-10-10T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-1200","title":"Multivariate Statistical Models for Predicting Sediment Yields from Southern California Watersheds","docAbstract":"Debris-retention basins in Southern California are frequently used to protect communities and infrastructure from the hazards of flooding and debris flow. Empirical models that predict sediment yields are used to determine the size of the basins. Such models have been developed using analyses of records of the amount of material removed from debris retention basins, associated rainfall amounts, measures of watershed characteristics, and wildfire extent and history. In this study we used multiple linear regression methods to develop two updated empirical models to predict sediment yields for watersheds located in Southern California. The models are based on both new and existing measures of volume of sediment removed from debris retention basins, measures of watershed morphology, and characterization of burn severity distributions for watersheds located in Ventura, Los Angeles, and San Bernardino Counties. The first model presented reflects conditions in watersheds located throughout the Transverse Ranges of Southern California and is based on volumes of sediment measured following single storm events with known rainfall conditions. The second model presented is specific to conditions in Ventura County watersheds and was developed using volumes of sediment measured following multiple storm events. To relate sediment volumes to triggering storm rainfall, a rainfall threshold was developed to identify storms likely to have caused sediment deposition. A measured volume of sediment deposited by numerous storms was parsed among the threshold-exceeding storms based on relative storm rainfall totals.\r\n\r\nThe predictive strength of the two models developed here, and of previously-published models, was evaluated using a test dataset consisting of 65 volumes of sediment yields measured in Southern California. The evaluation indicated that the model developed using information from single storm events in the Transverse Ranges best predicted sediment yields for watersheds in San Bernardino, Los Angeles, and Ventura Counties. This model predicts sediment yield as a function of the peak 1-hour rainfall, the watershed area burned by the most recent fire (at all severities), the time since the most recent fire, watershed area, average gradient, and relief ratio. The model that reflects conditions specific to Ventura County watersheds consistently under-predicted sediment yields and is not recommended for application. Some previously-published models performed reasonably well, while others either under-predicted sediment yields or had a larger range of errors in the predicted sediment yields.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091200","usgsCitation":"Gartner, J.E., Cannon, S.H., Helsel, D., and Bandurraga, M., 2009, Multivariate Statistical Models for Predicting Sediment Yields from Southern California Watersheds: U.S. Geological Survey Open-File Report 2009-1200, Report: v, 42 p.; Downloads Directory, https://doi.org/10.3133/ofr20091200.","productDescription":"Report: v, 42 p.; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":118541,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1200.jpg"},{"id":13088,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1200/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b32e4b07f02db6b473f","contributors":{"authors":[{"text":"Gartner, Joseph E. jegartner@usgs.gov","contributorId":1876,"corporation":false,"usgs":true,"family":"Gartner","given":"Joseph","email":"jegartner@usgs.gov","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":303582,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cannon, Susan H. cannon@usgs.gov","contributorId":1019,"corporation":false,"usgs":true,"family":"Cannon","given":"Susan","email":"cannon@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":303581,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Helsel, Dennis R.","contributorId":85569,"corporation":false,"usgs":true,"family":"Helsel","given":"Dennis R.","affiliations":[],"preferred":false,"id":303584,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bandurraga, Mark","contributorId":57974,"corporation":false,"usgs":true,"family":"Bandurraga","given":"Mark","email":"","affiliations":[],"preferred":false,"id":303583,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":97910,"text":"ofr20091193 - 2009 - Near-field receiving water monitoring of trace metals and a benthic community near the Palo Alto Regional Water Quality Control Plant in South San Francisco Bay, California: 2008","interactions":[],"lastModifiedDate":"2022-06-15T21:08:42.875025","indexId":"ofr20091193","displayToPublicDate":"2009-10-08T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-1193","displayTitle":"Near-Field Receiving Water Monitoring of Trace Metals and a Benthic Community Near the Palo Alto Regional Water Quality Control Plant in South San Francisco Bay, California: 2008","title":"Near-field receiving water monitoring of trace metals and a benthic community near the Palo Alto Regional Water Quality Control Plant in South San Francisco Bay, California: 2008","docAbstract":"Results reported herein include trace element concentrations in sediment and in the clam Macoma petalum (formerly reported as Macoma balthica (Cohen and Carlton, 1995)), clam reproductive activity, and benthic macroinvertebrate community structure for a mudflat one kilometer south of the discharge of the Palo Alto Regional Water Quality Control Plant (PARWQCP) in South San Francisco Bay. This report includes data collected for the period January 2008 to December 2008 and extends a critical long-term biogeochemical record dating back to 1974. These data serve as the basis for the City of Palo Alto's Near-Field Receiving Water Monitoring Program, initiated in 1994.
In 2008, metal concentrations in both sediments and clam tissue were among the lowest concentrations on record and consistent with results observed since 1991. Following significant reductions in the late 1980's, silver (Ag) and copper (Cu) concentrations appeared to have stabilized. Annual mean concentrations have fluctuated modestly (2–4 fold) in a nondirectional manner. Data for other metals, including chromium, mercury, nickel, selenium, vanadium, and zinc, have been collected since 1994. Over this period, concentrations of these elements, which more likely reflect regional inputs and systemwide processes, have remained relatively constant, aside from typical seasonal variation that is common to all elements. Within years, concentrations generally reach maximum in winter months (January–March) and decline to annual minima in spring through fall. Mercury (Hg) in sediments spiked to the highest observed level in January 2008. However, sedimentary concentrations for the rest of the year and concentrations of Hg in M. petalum for the entire year were consistent with data from previous years. Average selenium (Se) concentrations in sediment were the highest on record, but there is no evidence, yet, to suggest a temporal trend of increasing sedimentary Se. Selenium in M. petalum was not elevated relative to past years. Overall, Cu and Ag concentrations in sediments and soft tissues of the clam, M. petalum, remained representative of the concentrations observed since 1991 following significant reductions in the discharge of these elements from PARWQCP, suggesting that, similar to other elements of regulatory interest, regional scale factors now largely influence sedimentary and bioavailable concentrations of Cu and Ag.
Analyses of the benthic-community structure of a mudflat in South San Francisco Bay over a 31-year period show that changes in the community have occurred concurrent with reduced concentrations of metals in the sediment and in the tissues of the biosentinel clam, M. petalum, from the same area. Analysis of the reproductive activity of M. petalum shows increases in reproductive activity concurrent with the decline in metal concentrations in the tissues of this organism. Reproductive activity is presently stable, with almost all animals initiating reproduction in the fall and spawning the following spring of most years. The community has shifted from being dominated by several opportunistic species to a community where the species are more similar in abundance, a pattern that suggests a more stable community that is subjected to less stress. In addition, two of the opportunistic species (Ampelisca abdita and Streblospio benedicti) that brood their young and live on the surface of the sediment in tubes, have shown a continual decline in dominance coincident with the decline in metals. Heteromastus filiformis, a subsurface polychaete worm that lives in the sediment, consumes sediment and organic particles residing in the sediment, and reproduces by laying their eggs on or in the sediment, has shown a concurrent increase in dominance and is now showing signs of population stability. An unidentified disturbance occurred on the mudflat in early 2008 that resulted in the loss of the benthic animals, except for those deep dwelling animals like Macoma petalum. Animals immediately returned to the mudflat, which is indicative that the disturbance was not due to a persistent toxin or due to anoxia. This event allows us to examine the response of the mudflat benthic community to a natural disturbance (possible causes include sediment accretion or freshwater inundation) and compare this recovery to the longer term recovery we observed in the 1970s.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091193","collaboration":"Prepared in cooperation with the City of Palo Alto, California","usgsCitation":"Cain, D.J., Thompson, J.K., Dyke, J., Parcheso, F., Luoma, S.N., and Hornberger, M.I., 2009, Near-field receiving water monitoring of trace metals and a benthic community near the Palo Alto Regional Water Quality Control Plant in South San Francisco Bay, California: 2008: U.S. Geological Survey Open-File Report 2009-1193, vii, 120 p., https://doi.org/10.3133/ofr20091193.","productDescription":"vii, 120 p.","onlineOnly":"Y","temporalStart":"2008-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":434,"text":"National Research Program","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":125494,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1193.jpg"},{"id":402243,"rank":2,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_87449.htm","linkFileType":{"id":5,"text":"html"}},{"id":13083,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1193/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"Palo Alto Regional Water Quality Control Plant","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.10286617279053,\n 37.45564662685196\n ],\n [\n -122.09973335266112,\n 37.45564662685196\n ],\n [\n -122.09973335266112,\n 37.459734584562185\n ],\n [\n -122.10286617279053,\n 37.459734584562185\n ],\n [\n -122.10286617279053,\n 37.45564662685196\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b00e4b07f02db697fd6","contributors":{"authors":[{"text":"Cain, Daniel J. 0000-0002-3443-0493 djcain@usgs.gov","orcid":"https://orcid.org/0000-0002-3443-0493","contributorId":1784,"corporation":false,"usgs":true,"family":"Cain","given":"Daniel","email":"djcain@usgs.gov","middleInitial":"J.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":303563,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, Janet K. 0000-0002-1528-8452 jthompso@usgs.gov","orcid":"https://orcid.org/0000-0002-1528-8452","contributorId":1009,"corporation":false,"usgs":true,"family":"Thompson","given":"Janet","email":"jthompso@usgs.gov","middleInitial":"K.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":303560,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dyke, Jessica jldyke@usgs.gov","contributorId":1035,"corporation":false,"usgs":true,"family":"Dyke","given":"Jessica","email":"jldyke@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":303561,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parcheso, Francis 0000-0002-9471-7787 parchaso@usgs.gov","orcid":"https://orcid.org/0000-0002-9471-7787","contributorId":2590,"corporation":false,"usgs":true,"family":"Parcheso","given":"Francis","email":"parchaso@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":303565,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Luoma, Samuel N. 0000-0001-5443-5091 snluoma@usgs.gov","orcid":"https://orcid.org/0000-0001-5443-5091","contributorId":2287,"corporation":false,"usgs":true,"family":"Luoma","given":"Samuel","email":"snluoma@usgs.gov","middleInitial":"N.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":303564,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hornberger, Michelle I. 0000-0002-7787-3446 mhornber@usgs.gov","orcid":"https://orcid.org/0000-0002-7787-3446","contributorId":1037,"corporation":false,"usgs":true,"family":"Hornberger","given":"Michelle","email":"mhornber@usgs.gov","middleInitial":"I.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":303562,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":97906,"text":"ofr20091227 - 2009 - Emergency Assessment of Postfire Debris-Flow Hazards for the 2009 Station Fire, San Gabriel Mountains, Southern California","interactions":[],"lastModifiedDate":"2012-02-10T00:11:48","indexId":"ofr20091227","displayToPublicDate":"2009-10-08T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-1227","title":"Emergency Assessment of Postfire Debris-Flow Hazards for the 2009 Station Fire, San Gabriel Mountains, Southern California","docAbstract":"This report presents an emergency assessment of potential debris-flow hazards from basins burned by the 2009 Station fire in Los Angeles County, southern California. Statistical-empirical models developed for postfire debris flows are used to estimate the probability and volume of debris-flow production from 678 drainage basins within the burned area and to generate maps of areas that may be inundated along the San Gabriel mountain front by the estimated volume of material. Debris-flow probabilities and volumes are estimated as combined functions of different measures of basin burned extent, gradient, and material properties in response to both a 3-hour-duration, 1-year-recurrence thunderstorm and to a 12-hour-duration, 2-year recurrence storm. Debris-flow inundation areas are mapped for scenarios where all sediment-retention basins are empty and where the basins are all completely full. This assessment provides critical information for issuing warnings, locating and designing mitigation measures, and planning evacuation timing and routes within the first two winters following the fire.\r\n\r\nTributary basins that drain into Pacoima Canyon, Big Tujunga Canyon, Arroyo Seco, West Fork of the San Gabriel River, and Devils Canyon were identified as having probabilities of debris-flow occurrence greater than 80 percent, the potential to produce debris flows with volumes greater than 100,000 m3, and the highest Combined Relative Debris-Flow Hazard Ranking in response to both storms. The predicted high probability and large magnitude of the response to such short-recurrence storms indicates the potential for significant debris-flow impacts to any buildings, roads, bridges, culverts, and reservoirs located both within these drainages and downstream from the burned area. These areas will require appropriate debris-flow mitigation and warning efforts.\r\n\r\nProbabilities of debris-flow occurrence greater than 80 percent, debris-flow volumes between 10,000 and 100,000 m3, and high Combined Relative Debris-Flow Hazard Rankings were estimated in response to both short recurrence-interval (1- and 2-year) storms for all but the smallest basins along the San Gabriel mountain front between Big Tujunga Canyon and Arroyo Seco. The combination of high probabilities and large magnitudes determined for these basins indicates significant debris-flow hazards for neighborhoods along the mountain front. When the capacity of sediment-retention basins is exceeded, debris flows may be deposited in neighborhoods and streets and impact infrastructure between the mountain front and Foothill Boulevard. In addition, debris flows may be deposited in neighborhoods immediately below unprotected basins. Hazards to neighborhoods and structures at risk from these events will require appropriate debris-flow mitigation and warning efforts.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091227","usgsCitation":"Cannon, S.H., Gartner, J.E., Rupert, M.G., Michael, J.A., Staley, D.M., and Worstell, B.B., 2009, Emergency Assessment of Postfire Debris-Flow Hazards for the 2009 Station Fire, San Gabriel Mountains, Southern California: U.S. Geological Survey Open-File Report 2009-1227, iv, 24 p., https://doi.org/10.3133/ofr20091227.","productDescription":"iv, 24 p.","onlineOnly":"Y","temporalStart":"2009-08-01","temporalEnd":"2009-09-30","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":118566,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1227.jpg"},{"id":13079,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1227/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.41666666666667,34.166666666666664 ], [ -118.41666666666667,34.5 ], [ -117.83333333333333,34.5 ], [ -117.83333333333333,34.166666666666664 ], [ -118.41666666666667,34.166666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a19e4b07f02db60584e","contributors":{"authors":[{"text":"Cannon, Susan H. cannon@usgs.gov","contributorId":1019,"corporation":false,"usgs":true,"family":"Cannon","given":"Susan","email":"cannon@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":303548,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gartner, Joseph E. jegartner@usgs.gov","contributorId":1876,"corporation":false,"usgs":true,"family":"Gartner","given":"Joseph","email":"jegartner@usgs.gov","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":303551,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rupert, Michael G. mgrupert@usgs.gov","contributorId":1194,"corporation":false,"usgs":true,"family":"Rupert","given":"Michael","email":"mgrupert@usgs.gov","middleInitial":"G.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303549,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Michael, John A. jmichael@usgs.gov","contributorId":1877,"corporation":false,"usgs":true,"family":"Michael","given":"John","email":"jmichael@usgs.gov","middleInitial":"A.","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":303552,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Staley, Dennis M. 0000-0002-2239-3402 dstaley@usgs.gov","orcid":"https://orcid.org/0000-0002-2239-3402","contributorId":4134,"corporation":false,"usgs":true,"family":"Staley","given":"Dennis","email":"dstaley@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":303553,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Worstell, Bruce B. 0000-0001-8927-3336 worstell@usgs.gov","orcid":"https://orcid.org/0000-0001-8927-3336","contributorId":1815,"corporation":false,"usgs":true,"family":"Worstell","given":"Bruce","email":"worstell@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":303550,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70158979,"text":"70158979 - 2009 - Quantifying the undiscovered geothermal resources of the United States","interactions":[],"lastModifiedDate":"2015-10-09T14:57:24","indexId":"70158979","displayToPublicDate":"2009-10-07T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Quantifying the undiscovered geothermal resources of the United States","docAbstract":"In 2008, the U.S. Geological Survey (USGS) released summary results of an assessment of the electric power production potential from the moderate- and high-temperature geothermal resources of the United States (Williams et al., 2008a; USGS Fact Sheet 2008-3082; http://pubs.usgs.gov/fs/2008/3082). In the assessment, the estimated mean power production potential from undiscovered geothermal resources is 30,033 Megawatts-electric (MWe), more than three times the estimated mean potential from identified geothermal systems: 9057 MWe. The presence of significant undiscovered geothermal resources has major implications for future exploration and development activities by both the government and private industry. Previous reports summarize the results of techniques applied by the USGS and others to map the spatial distribution of undiscovered resources. This paper describes the approach applied in developing estimates of the magnitude of the undiscovered geothermal resource, as well as the manner in which that resource is likely to be distributed among geothermal systems of varying volume and temperature. A number of key issues constrain the overall estimate. One is the degree to which characteristics of the undiscovered resources correspond to those observed among identified geothermal systems. Another is the evaluation of exploration history, including both the spatial distribution of geothermal exploration activities relative to the postulated spatial distribution of undiscovered resources and the probability of successful discoveries from the application of standard geothermal exploration techniques. Also significant are the physical, chemical, and geological constraints on the formation and longevity of geothermal systems. Important observations from this study include the following. (1) Some of the largest identified geothermal systems, such as The Geysers vapor-dominated system in northern California and the diverse geothermal manifestations found in Yellowstone National Park, are unique in North America and highly unlikely to have counterparts with equivalent characteristics among the systems comprising the undiscovered resources. (2) Historical geothermal exploration has been limited in both the effectiveness of techniques employed and spatial coverage, since most exploration has targeted areas associated with surface thermal manifestations in the most easily accessible lands. (3) As noted by other investigators, in general, the hottest and largest geothermal systems are those with heat sources arising from recent magmatic activity. Consequently, a larger fraction of the undiscovered resource is associated with those areas favorable to the formation of this type of geothermal system, including some relatively remote areas, such as the Aleutian volcanic arc in Alaska.
","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Geothermal Resources Council Transactions","conferenceTitle":"Geothermal Resources Council 2009 Annual Meeting","conferenceDate":"October 4-7, 2009","conferenceLocation":"Reno, Nevada","language":"English","publisher":"GRC Transactions","usgsCitation":"Williams, C.F., Reed, M.J., DeAngelo, J., and Galanis, S., 2009, Quantifying the undiscovered geothermal resources of the United States, in Geothermal Resources Council Transactions, v. 33, Reno, Nevada, October 4-7, 2009, 8 p.","productDescription":"8 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":309805,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.763671875,\n 44.449467536006935\n ],\n [\n -110.9619140625,\n 44.62175409623324\n ],\n [\n -110.89599609375,\n 44.99588261816546\n ],\n [\n -109.599609375,\n 44.96479793033104\n ],\n [\n -111.005859375,\n 42.553080288955826\n ],\n [\n -111.33544921874999,\n 42.374778361114195\n ],\n [\n -111.33544921874999,\n 41.95131994679697\n ],\n [\n -111.81884765624999,\n 42.01665183556825\n ],\n [\n -111.7529296875,\n 39.16414104768742\n ],\n [\n -113.466796875,\n 37.56199695314352\n ],\n [\n -112.82958984375,\n 35.90684930677121\n ],\n [\n -115.86181640625001,\n 35.137879119634185\n ],\n [\n -117.26806640625,\n 35.15584570226544\n ],\n [\n -119.15771484375,\n 38.548165423046584\n ],\n [\n -119.99267578124999,\n 38.95940879245423\n ],\n [\n -120.03662109374999,\n 39.9434364619742\n ],\n [\n -121.39892578125,\n 41.409775832009565\n ],\n [\n -121.640625,\n 42.633958722673164\n ],\n [\n -121.92626953124999,\n 45.120052841530516\n ],\n [\n -121.6845703125,\n 45.69083283645816\n ],\n [\n -120.10253906249999,\n 45.78284835197676\n ],\n [\n -118.47656249999999,\n 44.134913443750726\n ],\n [\n -117.46582031249999,\n 44.2294565683017\n ],\n [\n -117.22412109375,\n 44.96479793033104\n ],\n [\n -111.24755859375,\n 44.98034238084973\n ],\n [\n -110.74218749999999,\n 44.99588261816546\n ],\n [\n -112.763671875,\n 44.449467536006935\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"33","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5618e533e4b0cdb063e3fee7","contributors":{"authors":[{"text":"Williams, Colin F. 0000-0003-2196-5496 colin@usgs.gov","orcid":"https://orcid.org/0000-0003-2196-5496","contributorId":274,"corporation":false,"usgs":true,"family":"Williams","given":"Colin","email":"colin@usgs.gov","middleInitial":"F.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":577122,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reed, Marshall J.","contributorId":9259,"corporation":false,"usgs":true,"family":"Reed","given":"Marshall","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":577123,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeAngelo, Jacob jdeangelo@usgs.gov","contributorId":2376,"corporation":false,"usgs":true,"family":"DeAngelo","given":"Jacob","email":"jdeangelo@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":577124,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Galanis, S. Peter Jr.","contributorId":149161,"corporation":false,"usgs":false,"family":"Galanis","given":"S. Peter","suffix":"Jr.","affiliations":[],"preferred":false,"id":577125,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":97903,"text":"sir20095144 - 2009 - Bankfull discharge and channel characteristics of streams in New York State","interactions":[],"lastModifiedDate":"2017-04-14T13:10:15","indexId":"sir20095144","displayToPublicDate":"2009-10-06T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-5144","title":"Bankfull discharge and channel characteristics of streams in New York State","docAbstract":"Equations that relate drainage area to bankfull discharge and channel characteristics (such as width, depth, and cross-sectional area) at gaged sites are needed to help define bankfull discharge and channel characteristics at ungaged sites and can be used in stream-restoration and protection projects, stream-channel classification, and channel assessments. These equations are intended to serve as a guide for streams in areas of similar hydrologic, climatic, and physiographic conditions. New York State contains eight hydrologic regions that were previously delineated on the basis of high-flow (flood) characteristics. This report seeks to increase understanding of the factors affecting bankfull discharge and channel characteristics to drainage-area size relations in New York State by providing an in-depth analysis of seven previously published regional bankfull-discharge and channel-characteristics curves.
Stream-survey data and discharge records from 281 cross sections at 82 streamflow-gaging stations were used in regression analyses to relate drainage area to bankfull discharge and bankfull-channel width, depth, and cross-sectional area. The R2 and standard errors of estimate of each regional equation were compared to the R2 and standard errors of estimate for the statewide (pooled) model to determine if regionalizing data reduced model variability. It was found that regional models typically yield less variable results than those obtained using pooled statewide equations, which indicates statistically significant regional differences in bankfull-discharge and channel-characteristics relations.
Statistical analysis of bankfull-discharge relations found that curves for regions 4 and 7 fell outside the 95-percent confidence interval bands of the statewide model and had intercepts that were significantly diferent (p≤0.10) from the other five hydrologic regions.Analysis of channel-characteristics relations found that the bankfull width, depth, and cross-sectional area curves for region 3 were significantly different p(≤0.05) from the other six regions.
It was hypothesized that some regional variability could be reduced by creating models for streams with similar physiographic and climatic characteristics. Available data on streamflow patterns and previous regional-curve research suggested that mean annual runoff, Rosgen stream type, and water-surface slope were the variables most likely to influence regional bankfull discharge and channel characteristics to drainage-area size relations. Results showed that although all of these factors had an influence on regional relations, most stratified models have lower 2 values and higher standard errors of estimate than the regional models.
The New York statewide (pooled) bankfull-discharge equation and equations for regions 4 and 7 were compared with equations for four other regions in the Northeast to evaluate region-to-region differences, and assess the ability of individual curves to produce results more accurate than those that would be obtained from one model of the northeastern United States. Results indicated that model slopes lack significant diferences, though intercepts are significantly different. Comparison of bankfull-discharge estimates using different models shows that results could vary by as much as 100 percent depending on which model was used and indicated that regionalization improved model accuracy.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20095144","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation, New York Department of State, New York State Department of Transportation, and New York City Department of Environmental Protection","usgsCitation":"Mulvihill, C., Baldigo, B.P., Miller, S.J., DeKoskie, D., and DuBois, J., 2009, Bankfull discharge and channel characteristics of streams in New York State: U.S. Geological Survey Scientific Investigations Report 2009-5144, vi, 52 p., https://doi.org/10.3133/sir20095144.","productDescription":"vi, 52 p.","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":339652,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/sir20075227","text":"Scientific Investigations Report 2007-5227","linkHelpText":"- Regionalized Equations for Bankfull-Discharge and Channel Characteristics of Streams in New York State—Hydrologic Region 3 East of the Hudson River"},{"id":339650,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/sir20065075","text":"Scientific Investigations Report 2006-5075","linkHelpText":"- Regionalized Equations for Bankfull-Discharge and Channel Characteristics of Streams in New York State—Hydrologic Region 7 in Western New York"},{"id":339654,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/sir20045247","text":"Scientific Investigations Report 2004-5247 ","linkHelpText":"- Regionalized Equations for Bankfull-Discharge and Channel Characteristics of Streams in New York State—Hydrologic Region 5 in Central New York"},{"id":339653,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/sir20075189","text":"Scientific Investigations Report 2007-5189","linkHelpText":"- Regionalized Equations for Bankfull Discharge and Channel Characteristics of Streams in New York State—Hydrologic Regions 1 and 2 in the Adirondack Region of Northern New York"},{"id":339651,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/sir20055100","text":" Scientific Investigations Report 2005-5100 ","linkHelpText":"- Regionalized Equations for Bankfull-Discharge and Channel Characteristics of Streams in New York State—Hydrologic Region 6 in the Southern Tier of New York"},{"id":13076,"rank":2,"type":{"id":15,"text":"Index 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York\",\"nation\":\"USA \"}}]}","contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Rd
Troy, NY 12180
(518) 285-5695
http://ny.water.usgs.gov/
Populations rarely show immediate genetic responses to habitat fragmentation, even in taxa that possess suites of traits known to increase their vulnerability to extinction. Thus conservation geneticists must consider the time scale over which contemporary evolutionary processes operate to accurately portray the effects of habitat isolation. Here, we examine the genetic impacts of fragmentation on the Florida sand skink Plestiodon reynoldsi, a sand swimming lizard that is highly adapted to the upland scrub habitat of central Florida. We studied fragments located on the southern Lake Wales Ridge, where human activity in the latter half of the 20th century has modified the natural patchiness of the landscape. Based on a relaxed molecular clock method, we estimate that sand skinks have persisted in this region for approximately 1.5 million years and that the time frame of human disturbance is equivalent to fewer than 30 skink generations. Using genotypes from eight microsatellite loci, we screened for molecular signatures of this disturbance by assessing congruence between population structure, as inferred from spatially-informed Bayesian assignment tests, and the current geography of scrub fragments. We also tested for potential intrapopulation genetic effects of inbreeding in isolated populations by comparing the average pairwise relatedness of individuals within fragments of different areas and isolation. Our results indicate that although some patches show a higher degree of relatedness than expected under random mating, the genetic effects of recent isolation are not evident in this part of the species’ range. We argue that this result is an artefact of a time-lag in the response to disturbance, and that species-typical demographic features may explain the genetic inertia observed in these populations.
","language":"English","publisher":"Springer","doi":"10.1007/s10592-008-9707-x","usgsCitation":"Richmond, J.Q., Reid, D.T., Ashton, K.G., and Zamudio, K.R., 2009, Delayed genetic effects of habitat fragmentation on the ecologically specialized Florida sand skink (Plestiodon reynoldsi): Conservation Genetics, v. 10, no. 5, p. 1281-1297, https://doi.org/10.1007/s10592-008-9707-x.","productDescription":"17 p.","startPage":"1281","endPage":"1297","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":332864,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"5","noUsgsAuthors":false,"publicationDate":"2008-09-24","publicationStatus":"PW","scienceBaseUri":"586e1826e4b0f5ce109fcae9","contributors":{"authors":[{"text":"Richmond, Jonathan Q. 0000-0001-9398-4894 jrichmond@usgs.gov","orcid":"https://orcid.org/0000-0001-9398-4894","contributorId":5400,"corporation":false,"usgs":true,"family":"Richmond","given":"Jonathan","email":"jrichmond@usgs.gov","middleInitial":"Q.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":657598,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reid, Duncan T.","contributorId":177941,"corporation":false,"usgs":false,"family":"Reid","given":"Duncan","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":657599,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ashton, Kyle G.","contributorId":177942,"corporation":false,"usgs":false,"family":"Ashton","given":"Kyle","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":657600,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zamudio, Kelly R.","contributorId":8320,"corporation":false,"usgs":true,"family":"Zamudio","given":"Kelly","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":657601,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":97872,"text":"sir20095180 - 2009 - Solid precipitation measurement intercomparison in Bismarck, North Dakota, from 1988 through 1997","interactions":[],"lastModifiedDate":"2017-10-14T12:09:42","indexId":"sir20095180","displayToPublicDate":"2009-10-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-5180","title":"Solid precipitation measurement intercomparison in Bismarck, North Dakota, from 1988 through 1997","docAbstract":"A solid precipitation measurement intercomparison was recommended by the World Meteorological Organization (WMO) and was initiated after approval by the ninth session of the Commission for Instruments and Methods of Observation. The goal of the intercomparison was to assess national methods of measuring solid precipitation against methods whose accuracy and reliability were known. A field study was started in Bismarck, N. Dak., during the 1988-89 winter as part of the intercomparison. The last official field season of the WMO intercomparison was 1992-93; however, the Bismarck site continued to operate through the winter of 1996-97.\r\n\r\nPrecipitation events at Bismarck were categorized as snow, mixed, or rain on the basis of descriptive notes recorded as part of the solid precipitation intercomparison. The rain events were not further analyzed in this study. Catch ratios (CRs) - the ratio of the precipitation catch at each gage to the true precipitation measurement (the corrected double fence intercomparison reference) - were calculated. Then, regression analysis was used to develop equations that model the snow and mixed precipitation CRs at each gage as functions of wind speed and temperature. Wind speed at the gages, functions of temperature, and upper air conditions (wind speed and air temperature at 700 millibars pressure) were used as possible explanatory variables in the multiple regression analysis done for this study. The CRs were modeled by using multiple regression analysis for the Tretyakov gage, national shielded gage, national unshielded gage, AeroChem gage, national gage with double fence, and national gage with Wyoming windshield.\r\n\r\nAs in earlier studies by the WMO, wind speed and air temperature were found to influence the CR of the Tretyakov gage. However, in this study, the temperature variable represented the average upper air temperature over the duration of the event. The WMO did not use upper air conditions in its analysis.\r\n\r\nThe national shielded and unshielded gages where found to be influenced by functions of wind speed only, as in other studies, but the upper air wind speed was used as an explanatory variable in this study. The AeroChem gage was not used in the WMO intercomparison study for 1987-93. The AeroChem gage had a highly varied CR at Bismarck, and a number of variables related to wind speed and temperature were used in the model for the CR. Despite extensive efforts to find a model for the national gage with double fence, no statistically significant regression model was found at the 0.05 level of statistical significance. The national gage with Wyoming windshield had a CR modeled by temperature and wind speed variables, and the regression relation had the highest coefficient of determination (R2 = 0.572) and adjusted coefficient of multiple determination (R2a = 0.476) of all of the models identified for any gage.\r\n\r\nThree of the gage CRs evaluated could be compared with those in the WMO intercomparison study for 1987-93. The WMO intercomparison had the advantage of a much larger dataset than this study. However, the data in this study represented a longer time period. Snow precipitation catch is highly varied depending on the equipment used and the weather conditions. Much of the variation is not accounted for in the WMO equations or in the equations developed in this study, particularly for unshielded gages.\r\n\r\nExtensive attempts at regression analysis were made with the mixed precipitation data, but it was concluded that the sample sizes were not large enough to model the CRs. However, the data could be used to test the WMO intercomparison equations. The mixed precipitation equations for the Tretyakov and national shielded gages are similar to those for snow in that they are more likely to underestimate precipitation when observed amounts were small and overestimate precipitation when observed amounts were relatively large. Mixed precipitation is underestimated by the WMO adjustment and t","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095180","usgsCitation":"Ryberg, K.R., Emerson, D.G., and Macek-Rowland, K.M., 2009, Solid precipitation measurement intercomparison in Bismarck, North Dakota, from 1988 through 1997: U.S. Geological Survey Scientific Investigations Report 2009-5180, vi, 24 p., https://doi.org/10.3133/sir20095180.","productDescription":"vi, 24 p.","temporalStart":"1988-01-01","temporalEnd":"1997-12-31","costCenters":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":118478,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5180.jpg"},{"id":13047,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5180/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"North Dakota","city":"Bismarck","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b01e4b07f02db698914","contributors":{"authors":[{"text":"Ryberg, Karen R. 0000-0002-9834-2046 kryberg@usgs.gov","orcid":"https://orcid.org/0000-0002-9834-2046","contributorId":1172,"corporation":false,"usgs":true,"family":"Ryberg","given":"Karen","email":"kryberg@usgs.gov","middleInitial":"R.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303415,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Emerson, Douglas G.","contributorId":40579,"corporation":false,"usgs":true,"family":"Emerson","given":"Douglas","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":303416,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Macek-Rowland, Kathleen M.","contributorId":50565,"corporation":false,"usgs":true,"family":"Macek-Rowland","given":"Kathleen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":303417,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70156386,"text":"70156386 - 2009 - Analysis of complex pumping interactions during an aquifer test conducted at a well field in the coastal plain near Augusta, Georgia, October 2009","interactions":[],"lastModifiedDate":"2021-10-29T15:15:40.911402","indexId":"70156386","displayToPublicDate":"2009-10-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Analysis of complex pumping interactions during an aquifer test conducted at a well field in the coastal plain near Augusta, Georgia, October 2009","docAbstract":"A 24-hour aquifer test was conducted in Well Field 2 near Augusta, Georgia, October 21–22, 2009, to characterize the hydraulic properties of the Midville aquifer system. The selected well was pumped at a rate of 684 gallons per minute. At the initiation of aquifer-test pumping, water levels in each of eight wells monitored for the test were still recovering from the well-field production. Because water levels had not stabilized, data analyses were needed to account for the ongoing recovery. Hydraulic properties of the Midville aquifer system were estimated by an approach based on the Theis model and superposition. The Midville aquifer system was modeled as a Theis aquifer. The principle of superposition was used to sum the effects of multiple pumping and recovery events from a single pumped well and to sum the effects of all pumped wells as the estimated total drawdown at a monitored well. Simulated drawdown at each monitored well was determined by using a spreadsheet (SUMTheis) function of aquifer transmissivity and storativity. Simulated drawdown values were transformed into simulated water levels, accounting for longterm water-level trends. The transmissivity and storativity values that were used to calibrate the simulated water levels to measured water levels (roughly 4,000 square feet per day and 2E-04, respectively) provide estimates of the transmissivity and storativity of the Midville aquifer system in the vicinity of Well Field 2. The approach used in this study can be applied to similar well-field tests in which incomplete drawdown recovery or other known pumping is evident.
","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Georgia Water Resources Conference 2011","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Georgia Water Resources Conference 2011","conferenceDate":"April 11-13, 2011","conferenceLocation":"Athens, Georgia","language":"English","publisher":"University of Georgia Warnell School of Forestry and Natural Resources","publisherLocation":"Athens, Georgia","usgsCitation":"Gonthier, G.J., 2009, Analysis of complex pumping interactions during an aquifer test conducted at a well field in the coastal plain near Augusta, Georgia, October 2009, in Georgia Water Resources Conference 2011, Athens, Georgia, April 11-13, 2011, 6 p.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-025260","costCenters":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"links":[{"id":307049,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":307048,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.gwri.gatech.edu/gwrc2011"}],"country":"United States","state":"Georgia","city":"Augusta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.28759765625,\n 33.15594830078649\n ],\n [\n -81.96075439453125,\n 33.15594830078649\n ],\n [\n -81.96075439453125,\n 33.58945533558725\n ],\n [\n -82.28759765625,\n 33.58945533558725\n ],\n [\n -82.28759765625,\n 33.15594830078649\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55d6fa2fe4b0518e3546bc26","contributors":{"authors":[{"text":"Gonthier, Gerald J.","contributorId":146795,"corporation":false,"usgs":false,"family":"Gonthier","given":"Gerald","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":568983,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70236353,"text":"70236353 - 2009 - To burn or not to burn Oriental bittersweet: A fire manager’s conundrum","interactions":[],"lastModifiedDate":"2022-09-02T18:04:37.442301","indexId":"70236353","displayToPublicDate":"2009-09-30T12:45:25","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"To burn or not to burn Oriental bittersweet: A fire manager’s conundrum","docAbstract":"Oriental bittersweet (Celastrus orbiculatus) is a highly invasive liana (woody vine) that occurs throughout the Eastern United States. This twining plant can blanket and girdle adjacent vegetation, affecting succession and damaging trees. In areas where prescribed fire is a management tool, the response of Oriental bittersweet to fire needs to be quantified, rather than relying on anecdotal evidence. Currently, in areas already infested with this species, there are no strategies for prioritizing pre- or post-fire treatments on Oriental bittersweet. This largely results from a lack of understanding of the nature of post-fire resprouting by this species. Sprouting of bittersweet can at least double with fire and sprouts appear to respond to fire with an increase in growth rate (Pavlovic and Young pers. obs.). Beyond this basic need to understand the interaction between fire and Oriental bittersweet resprouting, we need to investigate how fire may interact with light, soil moisture, litter and other environmental factors to either increase or decrease abundance of this species. Finally, it is unknown how fire regimes influence the distribution of Oriental bittersweet on the landscape; thus we need to model the distribution of Oriental bittersweet in a fire impacted landscape. If we determine through our research that fire enhances the spread of this species, modification of fire suppression tactics and potential fire exclusion zones may be necessary. Thus we will be able to provide land managers throughout the Eastern US with data-driven decision support tools for more successful management of this species in fire dependent and invaded areas.
","language":"English","publisher":"Joint Fire Science Program","usgsCitation":"Pavlovic, N.B., Leicht-Young, S.A., Frohnapple, K., and Mulconrey, N., 2009, To burn or not to burn Oriental bittersweet: A fire manager’s conundrum, 22 p.","productDescription":"22 p.","costCenters":[],"links":[{"id":406160,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":406159,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.firescience.gov/projects/08-1-2-10/project/08-1-2-10_jfspbittersweetfirstprogressreport2009.pdf","size":"1539 KB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Indiana","otherGeospatial":"Indiana Dunes National Lakeshore","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.3248291015625,\n 41.62493858776385\n ],\n [\n -87.32585906982422,\n 41.60414765107674\n ],\n [\n -87.30113983154297,\n 41.59464832679814\n ],\n [\n -87.2647476196289,\n 41.5969591019372\n ],\n [\n -87.26337432861328,\n 41.57667280728488\n ],\n [\n -87.22732543945312,\n 41.58771550500517\n ],\n [\n -87.21324920654295,\n 41.59644560350027\n ],\n [\n -87.1826934814453,\n 41.601837133324395\n ],\n [\n -87.1490478515625,\n 41.601323673699724\n ],\n [\n -87.12982177734375,\n 41.60722821271717\n ],\n [\n -87.10750579833984,\n 41.60722821271717\n ],\n [\n -87.09514617919922,\n 41.61364557706411\n ],\n [\n -87.08553314208984,\n 41.624681950391306\n ],\n [\n -87.05463409423828,\n 41.63622962087031\n ],\n [\n -87.0347213745117,\n 41.63648621227501\n ],\n [\n -86.95026397705078,\n 41.68701479467118\n ],\n [\n -86.92245483398438,\n 41.69983299902508\n ],\n [\n -86.92279815673828,\n 41.70752269548981\n ],\n [\n -86.91181182861328,\n 41.713930073371294\n ],\n [\n -86.91387176513672,\n 41.72084932414073\n ],\n [\n -86.9296646118164,\n 41.71239236092484\n ],\n [\n -86.94854736328124,\n 41.70752269548981\n ],\n [\n -87.06905364990234,\n 41.66393558993828\n ],\n [\n -87.12158203125,\n 41.649057939704974\n ],\n [\n -87.12947845458984,\n 41.64957101933682\n ],\n [\n -87.13119506835938,\n 41.65162329700054\n ],\n [\n -87.14115142822266,\n 41.64777522274766\n ],\n [\n -87.14733123779297,\n 41.64828831259533\n ],\n [\n -87.1490478515625,\n 41.64290066539074\n ],\n [\n -87.1596908569336,\n 41.64264409952472\n ],\n [\n -87.1603775024414,\n 41.63648621227501\n ],\n [\n -87.176513671875,\n 41.63597302844412\n ],\n [\n -87.17823028564453,\n 41.63263723394463\n ],\n [\n -87.22320556640625,\n 41.6262217593042\n ],\n [\n -87.25273132324217,\n 41.62288546018218\n ],\n [\n -87.28809356689453,\n 41.62237216807198\n ],\n [\n -87.28878021240234,\n 41.6244253119973\n ],\n [\n -87.29839324951172,\n 41.62493858776385\n ],\n [\n -87.3248291015625,\n 41.62493858776385\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pavlovic, Noel B. 0000-0002-2335-2274 npavlovic@usgs.gov","orcid":"https://orcid.org/0000-0002-2335-2274","contributorId":1976,"corporation":false,"usgs":true,"family":"Pavlovic","given":"Noel","email":"npavlovic@usgs.gov","middleInitial":"B.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":850730,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leicht-Young, Stacey A.","contributorId":80506,"corporation":false,"usgs":false,"family":"Leicht-Young","given":"Stacey","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":850731,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frohnapple, Krystal kfrohnapple@usgs.gov","contributorId":4110,"corporation":false,"usgs":true,"family":"Frohnapple","given":"Krystal","email":"kfrohnapple@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":850732,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mulconrey, Neal","contributorId":152092,"corporation":false,"usgs":false,"family":"Mulconrey","given":"Neal","email":"","affiliations":[{"id":18866,"text":"Indiana Dunes National Lakeshore","active":true,"usgs":false}],"preferred":false,"id":850733,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70204144,"text":"70204144 - 2009 - Spectroscopic analysis of arsenic uptake in Pteris Ferns","interactions":[],"lastModifiedDate":"2019-07-10T10:04:57","indexId":"70204144","displayToPublicDate":"2009-09-30T10:24:37","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Spectroscopic analysis of arsenic uptake in Pteris Ferns","title":"Spectroscopic analysis of arsenic uptake in Pteris Ferns","docAbstract":"