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Filters Date Range Past year (0) Past month (0) Past week (0) Past day (0) Custom range... To   Search Extensions Shapefile (18) Raster (7) Citation (4) Types Map Service (34) Downloadable (33) OGC WFS Layer (32) OGC WMS Layer (32) Shapefile (31) More... Contacts Kenneth S Rukstales Ken Rukstales Natural Hazards Kathleen M Haller Stephen C Harmsen More... Categories Data (34) Publication (4) Tag Types Place (52) Theme (52) Harvest Set (2) USGS Scientific Topic Keyword (1) Tag Schemes http://geonames.usgs.gov/ (46) none (46) None (5) Geographic Names Information System (4) USGS Thesaurus (1) Geographic Names Information System (GNIS) (1) The National Map Collection Thesaurus (4) More... View Results as: JSON ATOM CSV

FSA 10:1 NAIP Imagery m_4109964_se_14_h_20160710_20161019 3.75 x 3.75 minute JPEG2000 from The National Map This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are, increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs.... Types: Citation; Tags: 3.75 x 3.75 minute, 31163, 4109964, Aerial Compliance, Compliance, All tags... Digital Ortho rectified Image, Downloadable Data, HAZARD, HAZARD, SE, JPEG2000, NAIP, NE, NE163, Ortho Rectification, Orthoimagery, Quarter Quadrangle, SHERMAN CO NE FSA, Sherman, USDA National Agriculture Imagery Program (NAIP), farming, Fewer tags Environmental impact of cement production: Detail of the different processes and cement plant variability evaluation This study evaluates the environmental impact of the cement production and its variations between different cement plants, using Life Cycle Impact Assessment. For that purpose, details of the cement production processes are investigated in order to show the respective part of raw materials preparation and clinker production using environmental impacts calculated with CML01 indicators. For the kiln emission data, a European pollutant emission register for French intensive industries is used to quantify the variability of indicators between cement plants. For the CML01 indicators that are controlled by kiln emissions, some of them (i.e. global warming, photochemical oxidation) show variations between cement plants... Categories: Publication; Types: Citation; Tags: County, Environmental, Environmental hazard, San Luis Obispo, betrayal, All tags... hazard, institutional, oil, perceptions, public, risk, spill, Fewer tags 2. Catalog of natural and induced earthquakes without duplicates The U. S. Geological Survey (USGS) makes long-term seismic hazard forecasts that are used in building codes. The hazard models usually consider only natural seismicity; non-tectonic (man-made) earthquakes are excluded because they are transitory or too small. In the past decade, however, thousands of earthquakes related to underground fluid injection have occurred in the central and eastern U.S. (CEUS), and some have caused damage. In response, the USGS is now also making short-term forecasts that account for the hazard from these induced earthquakes. A uniform earthquake catalog is assembled by combining and winnowing pre-existing source catalogs. Seismicity statistics are analyzed to develop recurrence models,... Types: Citation; Tags: Alabama, Arizona, Arkansas, Colorado, Connecticut, All tags... Delaware, District of Columbia, Earthquake, Florida, Georgia, Hazard, Illinois, Indiana, Induced, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Natural, Nebraska, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, Rhode Island, Seismic, South Carolina, South Dakota, Tennessee, Texas, USA, United States, Utah, Vermont, Virginia, West Virginia, Wisconsin, Wyoming, Fewer tags Results of Hydrologic Monitoring of a Landslide-Prone Hillslope in Portland's West Hills, Oregon, 2006-2017 The West Hills of Portland, in the southern Tualatin Mountains, trend northwest along the west side of Portland, Oregon. These silt-mantled mountains receive significant wet-season precipitation and are prone to sliding during wet conditions, occasionally resulting in significant property damage or casualties. In an effort to develop a baseline for interpretive analysis of the groundwater response to rainfall, an automated monitoring system was installed in 2006 to measure rainfall, pore-water pressure, soil suction, soil-water potential, and volumetric water content at 15-minute intervals. The data show a cyclical pattern of groundwater and moisture content levels—wet from October to May and dry between June and... Categories: Data; Types: Citation; Tags: GHSC, Geologic Hazards Science Center, Hydrogeology, LHP, Landslide Hazards Program, All tags... Multnomah County, Portland, OR, Soil Sciences, Tualatin Mountains, USGS, USGS Science Data Catalog (SDC), United States, West Hills of Portland, earth science, groundwater, hazard, hydrologic monitoring, landslide, rainfall, soil suction, Fewer tags Peak ground acceleration with a 10% probability of exceedance in 50 years A seismic hazard model for South America, based on a smoothed (gridded) seismicity model, a subduction model, a crustal fault model, and a ground motion model, has been produced by the U.S. Geological Survey. These models are combined to account for ground shaking from earthquakes on known faults as well as earthquakes on un-modeled faults. This data set represents the results of calculations of hazard curves for a grid of points with a spacing of 0.1 degrees in latitude and longitude. This particular data set is for peak ground acceleration with a 10 percent probability of exceedance in 50 years. Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Argentina, Bolivia, Brazil, Chile, Colombia, All tags... Earthquake, Ecuador, French Guiana, Guyana, Hazard, Panama, Paraguay, Peru, Risk, Seismic, South America, Suriname, Trinidad and Tobago, Uruguay, Venezuela, Fewer tags Chance of damage from an earthquake in 2017 based on the average of horizontal spectral response acceleration for 1.0-second period and peak ground acceleration for the Central and Eastern United States This data set represents the results of calculations of hazard curves for a grid of points with a spacing of 0.05 degrees in latitude and longitude. It represents the chance of experiencing damaging earthquakes for fixed ground shaking levels that corresponds with MMI = VI. The values are obtained by averaging the probability of experiencing MMI = VI based on a peak ground acceleration value of 0.1155 g for site class D, and the probability of experiencing MMI = VI based on 1.0-second spectral acceleration value of 0.102 g for site class D. The data are for the Central and Eastern United States and are based on the one-year model. Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Alabama, Arizona, Arkansas, Colorado, Connecticut, All tags... Delaware, District of Columbia, Earthquake, Florida, Georgia, Hazard, Illinois, Indiana, Induced, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Natural, Nebraska, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, Rhode Island, Seismic, South Carolina, South Dakota, Tennessee, Texas, USA, United States, Utah, Vermont, Virginia, West Virginia, Wisconsin, Wyoming, Fewer tags Hazard curve data for annual rate of exceedance versus peak ground acceleration This data set represents the hazard curves for a grid of points with a spacing of 0.05 degrees in latitude and longitude. It represents the annual rate of exceedance versus peak ground acceleration. Types: Citation; Tags: Alabama, Arizona, Arkansas, California, Colorado, All tags... Connecticut, Delaware, District of Columbia, Earthquake, Florida, Georgia, Hazard, Idaho, Illinois, Indiana, Induced, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Natural, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, Seismic, South Carolina, South Dakota, Tennessee, Texas, USA, United States, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin, Wyoming, Fewer tags 0.2-second spectral response acceleration (5% of critical damping) with a 50% probability of exceedance in 50 years A seismic hazard model for South America, based on a smoothed (gridded) seismicity model, a subduction model, a crustal fault model, and a ground motion model, has been produced by the U.S. Geological Survey. These models are combined to account for ground shaking from earthquakes on known faults as well as earthquakes on un-modeled faults. This data set represents the results of calculations of hazard curves for a grid of points with a spacing of 0.1 degrees in latitude and longitude. This particular data set is for horizontal spectral response acceleration for 0.2-second period with a 50 percent probability of exceedance in 50 years. Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Argentina, Bolivia, Brazil, Chile, Colombia, All tags... Earthquake, Ecuador, French Guiana, Guyana, Hazard, Panama, Paraguay, Peru, Risk, Seismic, South America, Suriname, Trinidad and Tobago, Uruguay, Venezuela, Fewer tags 1.0-second spectral response acceleration (5% of critical damping) with a 10% probability of exceedance in 50 years A seismic hazard model for South America, based on a smoothed (gridded) seismicity model, a subduction model, a crustal fault model, and a ground motion model, has been produced by the U.S. Geological Survey. These models are combined to account for ground shaking from earthquakes on known faults as well as earthquakes on un-modeled faults. This data set represents the results of calculations of hazard curves for a grid of points with a spacing of 0.1 degrees in latitude and longitude. This particular data set is for horizontal spectral response acceleration for 1.0-second period with a 10 percent probability of exceedance in 50 years. Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Argentina, Bolivia, Brazil, Chile, Colombia, All tags... Earthquake, Ecuador, French Guiana, Guyana, Hazard, Panama, Paraguay, Peru, Risk, Seismic, South America, Suriname, Trinidad and Tobago, Uruguay, Venezuela, Fewer tags Modified Mercalli Intensity based on the average of horizontal spectral response acceleration for 1.0-second period and peak ground acceleration, with 1-percent probability of exceedance in 1 year for the Western United States This data set represents the results of calculations of hazard curves for a grid of points with a spacing of 0.05 degrees in latitude and longitude. It represents the average Modified Mercalli Intensity (MMI) with a 1-percent probability of exceedance in 1 year. Using a topographic-based soil classification method, the ground motions are amplified for soil type. The MMI values are the average of the MMI values obtained by converting peak ground acceleration to MMI and 1.0-second spectral response acceleration to MMI. The data are for the Western United States and are based on the long-term 2014 National Seismic Hazard Model. Categories: Data; Types: Citation, Downloadable, GeoTIFF, Map Service, Raster; Tags: Arizona, California, Colorado, Earthquake, Hazard, All tags... Idaho, Induced, Montana, Natural, Nevada, New Mexico, Oregon, Seismic, Texas, USA, United States, Utah, Washington, Wyoming, Fewer tags 1.0-second spectral response acceleration (5% of critical damping) with a 1% probability of exceedance in 1 year for the Central and Eastern United States This data set represents the results of calculations of hazard curves for a grid of points with a spacing of 0.05 degrees in latitude and longitude. This particular data set is for horizontal spectral response acceleration for 1.0-second period with a 1 percent probability of exceedance in 1 year. The data are for the Central and Eastern United States and are based on the one-year model. Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Alabama, Arizona, Arkansas, Colorado, Connecticut, All tags... Delaware, District of Columbia, Earthquake, Florida, Georgia, Hazard, Illinois, Indiana, Induced, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Natural, Nebraska, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, Rhode Island, Seismic, South Carolina, South Dakota, Tennessee, Texas, USA, United States, Utah, Vermont, Virginia, West Virginia, Wisconsin, Wyoming, Fewer tags 2a. Catalog of induced earthquakes without duplicates The U. S. Geological Survey (USGS) makes long-term seismic hazard forecasts that are used in building codes. The hazard models usually consider only natural seismicity; non-tectonic (man-made) earthquakes are excluded because they are transitory or too small. In the past decade, however, thousands of earthquakes related to underground fluid injection have occurred in the central and eastern U.S. (CEUS), and some have caused damage. In response, the USGS is now also making short-term forecasts that account for the hazard from these induced earthquakes. A uniform earthquake catalog is assembled by combining and winnowing pre-existing source catalogs. Seismicity statistics are analyzed to develop recurrence models,... Types: Citation; Tags: Alabama, Arizona, Arkansas, Colorado, Connecticut, All tags... Delaware, District of Columbia, Earthquake, Florida, Georgia, Hazard, Illinois, Indiana, Induced, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, Rhode Island, Seismic, South Carolina, South Dakota, Tennessee, Texas, USA, United States, Utah, Vermont, Virginia, West Virginia, Wisconsin, Wyoming, Fewer tags 1. Master earthquake catalog composed of all source catalogs The U. S. Geological Survey (USGS) makes long-term seismic hazard forecasts that are used in building codes. The hazard models usually consider only natural seismicity; non-tectonic (man-made) earthquakes are excluded because they are transitory or too small. In the past decade, however, thousands of earthquakes related to underground fluid injection have occurred in the central and eastern U.S. (CEUS), and some have caused damage. In response, the USGS is now also making short-term forecasts that account for the hazard from these induced earthquakes. A uniform earthquake catalog is assembled by combining and winnowing pre-existing, authoritative source catalogs. Seismicity statistics are analyzed to develop recurrence... Types: Citation; Tags: Alabama, Arizona, Arkansas, Colorado, Connecticut, All tags... Delaware, District of Columbia, Earthquake, Florida, Georgia, Hazard, Illinois, Indiana, Induced, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Natural, Nebraska, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, Rhode Island, Seismic, South Carolina, South Dakota, Tennessee, Texas, USA, United States, Utah, Vermont, Virginia, West Virginia, Wisconsin, Wyoming, Fewer tags Comparison with the 2010 USGS preliminary model A comparison of the 2017 USGS South America seismic hazard model and the 2010 USGS preliminary model was made to see how the models differ. The comparison was made as the ratio of PGA at 10% probability of exceedance in 50 years. The ratio map is included here as a geo-referenced tiff (GeoTIFF). The gridded data for the 2017 PGA at 10% probability can be found here, while the gridded data for the 2010 PGA at 10% probability can be found in the zip archive that can be downloaded using a link on this page. Categories: Data; Types: Citation, Downloadable, GeoTIFF, Map Service, OGC WFS Layer, OGC WMS Layer, Raster, Shapefile; Tags: Argentina, Bolivia, Brazil, Chile, Colombia, All tags... Earthquake, Ecuador, French Guiana, Guyana, Hazard, Panama, Paraguay, Peru, Risk, Seismic, South America, Suriname, Trinidad and Tobago, Uruguay, Venezuela, Fewer tags Maximum considered earthquake geometric mean peak ground acceleration Maximum considered earthquake geometric mean peak ground acceleration maps (MCEG) are for assessment of the potential for liquefaction and soil strength loss, as well as for determination of lateral earth pressures in the design of basement and retaining walls. The maps are derived from the USGS seismic hazard maps in accordance with the site-specific ground-motion procedures of the NEHRP Recommended Seismic Provisions for New Building and Other Structures and the ASCE Minimum Design Loads for Buildings and Other Structures (also known as the ASCE 7 Standard; ASCE, 2016). The MCEG ground motions are taken as the lesser of probabilistic and deterministic values, as explained in the Provisions. The gridded probabilistic... Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Argentina, Bolivia, Brazil, Chile, Colombia, All tags... Earthquake, Ecuador, French Guiana, Guyana, Hazard, Panama, Paraguay, Peru, Risk, Seismic, South America, Suriname, Trinidad and Tobago, Uruguay, Venezuela, Fewer tags Comparison with the 1999 Global Seismic Hazard Assessment (GSHAP) model A comparison of the 2017 USGS South America seismic hazard model and the Global Seismic Hazard Assessment Program (GSHAP) model was made to see how the models differ. The comparison was made as the ratio of PGA at 10% probability of exceedance in 50 years. The ratio map is included here as a geo-referenced tiff (GeoTIFF). The gridded data for the 2017 PGA at 10% probability can be found here, while the GSHAP data can be found here. Shedlock, K.M., Giardini, Domenico, Grünthal, Gottfried, and Zhang, Peizhan, 2000, The GSHAP Global Seismic Hazar Map, Sesimological Research Letters, 71, 679-686. https://doi.org/10.1785/gssrl.71.6.679 Categories: Data; Types: Citation, Downloadable, GeoTIFF, Map Service, OGC WFS Layer, OGC WMS Layer, Raster, Shapefile; Tags: Argentina, Bolivia, Brazil, Chile, Colombia, All tags... Earthquake, Ecuador, French Guiana, Guyana, Hazard, Panama, Paraguay, Peru, Risk, Seismic, South America, Suriname, Trinidad and Tobago, Uruguay, Venezuela, Fewer tags Hazard curve data for annual rate of exceedance versus 0.2-second spectral response acceleration A seismic hazard model for South America, based on a smoothed (gridded) seismicity model, a subduction model, a crustal fault model, and a ground motion model, has been produced by the U.S. Geological Survey. These models are combined to account for ground shaking from earthquakes on known faults as well as earthquakes on un-modeled faults. This data set represents the hazard curves for a grid of points with a spacing of 0.1 degrees in latitude and longitude. It represents the annual rate of exceedance versus 0.2-second spectral response acceleration. Types: Citation; Tags: Argentina, Bolivia, Brazil, Chile, Colombia, All tags... Earthquake, Ecuador, French Guiana, Guyana, Hazard, Panama, Paraguay, Peru, Risk, Seismic, South America, Suriname, Trinidad and Tobago, Uruguay, Venezuela, Fewer tags FSA 10:1 NAIP Imagery m_4109964_ne_14_h_20160710_20161019 3.75 x 3.75 minute JPEG2000 from The National Map This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are, increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs.... Types: Citation; Tags: 3.75 x 3.75 minute, 31163, 4109964, Aerial Compliance, Compliance, All tags... Digital Ortho rectified Image, Downloadable Data, HAZARD, HAZARD, NE, JPEG2000, NAIP, NE, NE163, Ortho Rectification, Orthoimagery, Quarter Quadrangle, SHERMAN CO NE FSA, Sherman, USDA National Agriculture Imagery Program (NAIP), farming, Fewer tags Hazard curve data for annual rate of exceedance versus 0.2-second spectral response acceleration This data set represents the hazard curves for a grid of points with a spacing of 0.05 degrees in latitude and longitude. It represents the annual rate of exceedance versus 0.2-second spectral response acceleration. Types: Citation; Tags: Alabama, Arizona, Arkansas, California, Colorado, All tags... Connecticut, Delaware, District of Columbia, Earthquake, Florida, Georgia, Hazard, Idaho, Illinois, Indiana, Induced, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Natural, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, Seismic, South Carolina, South Dakota, Tennessee, Texas, USA, United States, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin, Wyoming, Fewer tags Peak ground acceleration with a 2% probability of exceedance in 50 years A seismic hazard model for South America, based on a smoothed (gridded) seismicity model, a subduction model, a crustal fault model, and a ground motion model, has been produced by the U.S. Geological Survey. These models are combined to account for ground shaking from earthquakes on known faults as well as earthquakes on un-modeled faults. This data set represents the results of calculations of hazard curves for a grid of points with a spacing of 0.1 degrees in latitude and longitude. This particular data set is for peak ground acceleration with a 2 percent probability of exceedance in 50 years. Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Argentina, Bolivia, Brazil, Chile, Colombia, All tags... Earthquake, Ecuador, French Guiana, Guyana, Hazard, Panama, Paraguay, Peru, Risk, Seismic, South America, Suriname, Trinidad and Tobago, Uruguay, Venezuela, Fewer tags 1 2 3 »