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Full-Text Articles in Physical Sciences and Mathematics
Application Of Time-Frequency Analysis To Characterize Gas Shadows From The Clinton Interval In Ohio Seismic Reflection Data, Fangzhou Yan
Application Of Time-Frequency Analysis To Characterize Gas Shadows From The Clinton Interval In Ohio Seismic Reflection Data, Fangzhou Yan
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The Smoothed Pseudo Wigner-Ville Distribution (SPWVD) is one method to simultaneously resolve time series in both time and frequency domains, allowing determination of frequency variation with time in non-stationary signals. Also, SPWVD reduces the cross-term interference. This analysis was applied to stacked, migrated seismic reflection data from Ohio to characterize gas shadows produced by known and potential gas reservoirs in the Clinton interval. In northeast Ohio, the Clinton interval is identified as occurring immediately beneath the Dayton Limestone, which is known as the driller’s Packer Shell in the subsurface. The analysis was first applied to a seismic reflection line acquired …
Power Distribution And Probabilistic Forecasting Of Economic Loss And Fatalities Due To Hurricanes, Earthquakes, Tornadoes, And Floods In The United States, Scott Edward Baker
Power Distribution And Probabilistic Forecasting Of Economic Loss And Fatalities Due To Hurricanes, Earthquakes, Tornadoes, And Floods In The United States, Scott Edward Baker
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Traditionally, the size of natural disaster events such as hurricanes, earthquakes, tornadoes, and floods is measured in terms of wind speed (m/sec), energy released (ergs), or discharge (m3/sec). Economic loss and fatalities from natural disasters result from the intersection of the human infrastructure and population with the natural event. This study investigates the size versus cumulative number distribution of individual natural disaster events in the United States. Economic losses are adjusted for inflation to 2014 United States Dollars (USD). The cumulative number divided by the time over which the data ranges is the basis for making probabilistic forecasts in terms …