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In response to the Nisqually earthquake of 2001, DGER was awarded a grant by the Federal Emergency Management Agency and Washington Emergency Management Division to develop two types of earthquake hazard maps for every county in the state—liquefaction susceptibility maps, which outline areas where water-saturated sandy soil loses strength during earthquake shaking, and NEHRP (National Earthquake Hazards Reduction Program) site class maps, which outline areas where soils amplify ground shaking. The maps will be used by state and local governments to update existing hazard mitigation plans and to delineate geologically hazardous areas under the Growth Management Act. In response to the Nisqually earthquake of...
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The 2006 National Insect and Disease Risk Map (NIDRM) Project integrates 188 individual risk models constructed within a common, consistent framework that accounts for regional variations in current and future forest health. The 2006 risk map assessment, utilized within the contiguous United States and Alaska, provides a consistent, repeatable, transparent process through which interactive spatial and temporal risk assessments can be conducted at various scales to aid in the allocation of resources for forest health management. This modeling process is intended to increase the utilization of forest health risk maps within and outside the National Forest System and encourage development of future risk maps. NIDRM...
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The 2006 National Insect and Disease Risk Map (NIDRM) Project integrates 188 individual risk models constructed within a common, consistent framework that accounts for regional variations in current and future forest health. The 2006 risk assessment, conducted within the contiguous United States and Alaska, provides a consistent, repeatable, transparent process through which interactive spatial and temporal risk assessments can be conducted at various scales to aid in the allocation of resources for forest health management. This modeling process is intended to increase the utilization of forest health risk maps within and outside the National Forest System and encourage development of future risk maps. NIDRM...
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This publication addresses deep-seated landslide susceptibility,debris flow susceptibility, and other geologic hazards in ruralparts of western San Mateo County. The report also estimatespossible costs of investigating and mitigating the landslidehazards. The study area includes the Half Moon Bay 7.5'quadrangle, the Montara Mountain 7.5' quadrangle, and thePescadero/Butano Creeks watershed. Hazard maps were derived byintegrating slope data and previous geologic, landslide and debrisflow mapping. The digital database, which is found athttp://geopubs.wr.usgs.gov/open-file/of00-127includes 43 plotfiles for slope maps, Digital Orthophoto Quadranglemaps, Digital Raster Graphic topographic base maps, geologic maps,deep-seated...
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The acquisition of forest parameters by host species distributions is a significant factor in the identification of areas at risk of mortality to a particular agent. The most readily-available forest type maps do not contain enough location-specific information for insect and disease risk assessments, in particular species' age and stocking. Estimates for total and individual species' basal area (BA), quadratic mean diameter (QMD), stand density index (SDI), percent host composition, and predominant canopy position were developed for all 57 tree species and species groups modeled for the National Insect and Disease Risk Map. After extensively testing various interpolation methods, the Risk Map Integration Team...
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The acquisition of host species distributions is a significant factor in the identification of areas at risk of mortality to a particular agent. The most readily-available forest type maps do not contain enough location-specific information for insect and disease risk assessments, in particular species' age and stocking. Estimates for total and individual species' basal area (BA), quadratic mean diameter (QMD), stand density index (SDI), percent host composition, and predominant canopy position were developed for all 57 tree species and species groups modeled for the National Insect and Disease Risk Map. After extensively testing various interpolation methods, the Risk Map Integration Team (RMIT) utilized a...
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Two maps (PCT_BALOSS_AK - the ArcInfo Grid referenced to this metadata - and PCT_BALOSS - see accompanying CONUS Grid and its associated metadata) represent, in map form, the comprehensive version of the final results of the 2006 National Insect and Disease Risk Map (NIDRM) Project. Specifically, their pixel values range from 0 to 100 percent, representing the predicted percent of basal area loss over the next 15 years due to insects and diseases.
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Two maps (this grid, CONUS_BALOSSI and AK_BALOSSI - see accompanying Grid and its associated metadata) represent, in map form, the total potential BA loss resulting from the application of the 2006 National Insect and Disease Risk Map (NIDRM) Project. Specifically, it is the compilation of all BA losses resulting from running all 188 models of agent/host interactions which result in mortality.


map background search result map search result map Liquefaction Susceptibility and Site Class Maps of Washington State, by County Possible Costs Associated with Investigating and Mitigating SomeGeologic Hazards in Rural Parts of San Mateo County, California Modeled western pine beetle basal area loss - 2006 Estimated total quadratic mean diameter (QMD) - 2006 Estimated total basal area (BA) - 2006 Modeled percent of basal area loss over the next 15 years due to insects and diseases for Alaska - 2006 Modeled fir engraver beetle basal area loss - 2006 Total modeled basal area loss due to insect and disease risk - 2006 Possible Costs Associated with Investigating and Mitigating SomeGeologic Hazards in Rural Parts of San Mateo County, California Liquefaction Susceptibility and Site Class Maps of Washington State, by County Modeled western pine beetle basal area loss - 2006 Estimated total quadratic mean diameter (QMD) - 2006 Modeled fir engraver beetle basal area loss - 2006 Total modeled basal area loss due to insect and disease risk - 2006 Estimated total basal area (BA) - 2006 Modeled percent of basal area loss over the next 15 years due to insects and diseases for Alaska - 2006