20160613 16424300 1.0 TRUE Probabilistic seismic-hazard maps were prepared for the conterminous United States portraying peak horizontal acceleration and horizontal spectral response acceleration for 0.2- and 1.0-second periods with probabilities of exceedance of 10 percent in 50 years and 2 percent in 50 years. 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. All of the maps were prepared by combining the hazard derived from spatially smoothed historic seismicity with the hazard from fault-specific sources. The acceleration values contoured are the random horizontal component. The reference site condition is firm rock, defined as having an average shear-wave velocity of 760 m/sec in the top 30 meters corresponding to the boundary between NEHRP (National Earthquake Hazards Reduction program) site classes B and C. For more information online visit: http://pubs.usgs.gov/sim/3195/, http://pubs.usgs.gov/of/2008/1128/, and http://earthquake.usgs.gov/hazards/ earthquake hazard 1Hz 1.0-second seismic Horizontal Spectral Response Acceleration for 1.0-second Period with 10% Probability of Exceedance in 50 Years (2014) US Geological Survey National Seismic Hazard Mapping Program US 1Hz 10% in 50 years /9j/4AAQSkZJRgABAgAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCACFAMgDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD36iiigQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUVXvhL9hn8htswjJQ8/eA46ds0CbsrjmvLZJfKe5hWT+6XAP5Ufarf/n4i/77Fee3Czrd6WLudJb43HmfKRuRDtLAkADPytzgZAI55NdFIRKwVHGdpOQRxyKxwFeOMpupDa7S8zixOLlQqcjjf5nQG7thjNxCMnAy4pVurdhlZ4iMkZDjtXmQsbjR9GeHU9UjkDTqbWaaVyzyEFSCTkpngggsAxJ6YWt3RtQnuZZNjC1vgf8ASI5IyUl2/LuC7uGHAOD6feGxq3cWlqbUMRGrfyOw+0Qf89o/++hS/aIP+e0f/fQrIh1VFu/KvUW2kkACHfuRzk8BsDnpwQPbOK0PPh/56p/30KR0lhJopG2pIrHGcKc8U+qUKpJboCFcLxnqOOKiMjZPEyR8hWDjH4+gppXJk+U0qKoC9FvEplOcAbh3H0/vfzq8rK6B0YMpGQQcgihpoUZKWwtFFFIoKKybXWxeas9pDAWgXcDOcgbh2AI5HXke34a1Ak76oKKKKBhRRRQAUUUUAFFFFABRRRQAVV1KcW2l3c5kEflwu29hkLgHnHerVUtYhNxot9CIPPL28iiL++Sp+XqOv1FGvQT2OIW5tl8Ry39wAAGa33Ej91ggLu+pD4OP4/xravTcSWr/AGJk88xkxM3TPHP61zO9tX0S31CC6xcxQSJOyT7fMYKp992cDjoA57gCtPTdTnub+O1ubJoS0JcMrvxg4OQQMA849NvPUV5+Q4iP1VUJLlcdLdf6a19Dy8yw0o1HV3X4GLLpl/5MMuoy/vnl8tIrht+7KnPKYAz1wAvReflw9jSoZpLHTrlbpxPPA8scz4diqsBGTwNxMbgMeCRjpxhviyMmeztljJTUX+yySouZFzIgBB64CljznGOMZJrSiSVbqYq0b28G23t0jQrsUcNwWwQOBnr8p46Z7ow5Jy7Ky9eu/X/hzTDz53Dlt1b0t5W+/wDQ1bSeO9gkW6CbiojmichlB5yOgyCCDyOhFOke5tEiNleu8cUgZoJHVvMTBBQM3OckEEt1AGQKq6OblYLuWeJIpRISyh1kz8oI5U8cEDn0z3rW81fR/wDvg/4VR6RVSS/uRmZ2gi3N+5t8Z69GcnJ/4CF/GiGxtdvlyWyOygfNKN7MPUk5P69qqSam3ny2tjGpKH5pXyFQ9xj+I57ds9e1ZphjvLpllt5tRli4ZpArKpI6jdhQenC/iKaTexMpxgrydkdH/Z8MdnHAqGOI5bbGSnfgDGMAcce9aOlDbAY13bY8D5nLHPXqeemK5CSYSCC2mWa2dMxwrjZgZ5CuvGcDoDnA9qti+ltjHBcSM9o5C7jwVbPJYjqCO56Ed88XJt6MyppWvDU3dQ1lLeylliV/l437chRnBb6Dr6DvXPR6rq7o63V6uDGqr5W35sZy+QoILccDpjrzWr5tqEJFwuB6Sn/GoLfw3DdAS7EtkJ625aNmx6hSAec9c1KVy27PXVl7TtLmWWOeRhGByFXqfrW3TIkMcSoXLkfxHqafSk9dBwTS13CiiikUFFFFABRRRQAUUUUAFFFFABRRRQB5J4u0x7PxLcWj2cRtr63QWcvzDLA7WiyTgNt6YxkMfTBs30xSey1CciQysIbaWKPLKUYhR8xJYncx4wSBjB5rv9e0Oy8RaVJp9/EHhchugyCDkEE9D79a818U+G9csmtpke51Mwq8cUixl5lG5WJ6Fs5XOBnpwRkKfKxuGn7aGIh9l697PSy/BilFVIOm+v8AX/ANueG9l+y6lcjiGIE2sZHzTFs43Z4G4J69PTOa9vPOkMUPlmJXdNsiMpdwWVSxBGFyWDDrkE9DVuO8kv7DSzIPKSUEzRleVmTB8vJ6YIb3+Tr6xSWTWjyXGm28byq29YpNoUPsC5H3e27qerE8ng+1Ll5kefhKclSk1u7pf16lzSbhwb23YPId3L4GS2WTnHtGDx3J9quX+o3ETRw21sWkl4DP0T1YjrgDPoM4GeeKWnN/Z+kbwFe4F0ROXcqNxO3exwSBt2tnHTk+tSSefqIS+t4GSaDdC9vLwWHBbHIwcgY3AZx0AINZvc9CKaik9ypNEdlvZgSHzX2tIXIbruZiUIOSFPTufSoNT1n+x57SxtVVYootrSyoxAwBgHaOO2TjHzcVaeaSQRXFug82GQkRyBl5wQVYYyMg9foeRwY7mDRdTvxcX2+GRQuYp2MSsVJIz2YjJ5BPXHIptScGqbtI8/GX9onOLcF27l61EepaVA13++SVRLhYyBydyn6jjp3qniS1uTbuWlgkJEcjgll77G9eASD7c88tdOo2IijxcNIMDcId0nb/AGc+1Nlls7mF0V5jJH86LGp81ewKoRnuR059+a6JRUlbqcdCrOlPms7P7ivplttD23myGFLhYkMnG1SAQoAAAABUDvkE967tFCIqLwFGBWFo2hyQRNLfurTSusrRpwqtsVSPfla3qwk/dUex7EI+/KfcKKKKg1CiiigAooooAKKKKACiiigAooooAKKKKACiiigCvc2Vtd7TPCrlTlW6EHBHB69CaiTSbFC2LZW3dd5L/wA81dooA49vDdxZ6nIlruexuB5ZV23NgqckuRkEds57jJyAupLZ3K4uYdr3O1RcRdBIQOqns3Tk8EAA44I3KguIXkBMZAYqV5OPp+X9aA2RzzWMWtDzIUlinjOwzAbHQg8qcjnqeCCO9R/2RqMdyFzvjJwSUwQOgJIJB/IV1UahI1QAAAYwOgp1VdJ7ENSa3sc3ceHrwQqttdRF8jJkThR64HX8xS6baS2WqK19cW78GOMCLYQ57gljnIyPxro6zp7WBL/7QIY2nkwA4QFwRjv1xgD8venHUUvdRo0UUVBoFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH//2Q==