Basin Structure Estimation by Waveform Modeling: Forward and Inverse Methods
نویسندگان
چکیده
منابع مشابه
Basin Structure Estimation by Waveform Modeling: Forward and Inverse Methods
We introduce a technique for using broadband seismograms recorded from earthquakes at local and regional distances to refine basin structure. For the region outside the basin, we assume a one-dimensional (1D) crustal model and analytical techniques (GRT) to propagate the energy from sources to the basin edge where the motions are then interfaced with a (2D) finite-difference algorithm (Wen and ...
متن کاملSeismic Waveform Modeling in the Los Angeles Basin
The proximity of several recent earthquakes to the Los Angeles sedimentary basin provides an opportunity to isolate the effects of the basin on wave propagation. The 4 October 1987 aftershock (ML = 5.3) of the Whittier Narrows sequence and the 28 June 1991 Sierra Madre mainshock (ML = 5.8) are on a similar azimuth to stations overlying the deepest part of the basin. A distinctive feature of rec...
متن کاملForward and Inverse Parameter Estimation Algorithms of Interdigital Dielectrometry Sensors
In this paper we extend the continuum model for interdigital dielectrometry sensors and propose a new, direct technique for estimating material electrical properties from measurements. Interdigital sensors consist of alternating pairs of long, thin electrodes on a plane. An ideal model assumes that the periodic structure extends to infinity and the electrodes have no thickness. We extend this i...
متن کاملModeling FPGA Current Waveform and Spectrum and PDN Noise Estimation
Dynamic current variations in FPGA or microprocessors are major characteristics for analyzing noise in a power delivery network (PDN). Direct measurement of FPGA dynamic current variation is a very difficult problem, and is less studied than other PDN design questions. In this paper, a methodology to model the FPGA dynamic current waveform and its spectrum is developed and presented. Implementa...
متن کاملEmission factor estimation of ca. 160 emerging organic microcontaminants by inverse modeling in a Mediterranean river basin (Llobregat, NE Spain).
Starting from measured river concentrations, emission factors of 158 organic compounds out of 199 analyzed belonging to different groups of priority and emerging contaminants [pesticides (25), pharmaceuticals and hormones (81), perfluoroalkyl substances (PFASs) (18), industrial compounds (12), drugs of abuse (8) and personal care products (14)] have been estimated by inverse modeling. The Llobr...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Bulletin of the Seismological Society of America
سال: 2000
ISSN: 0037-1106
DOI: 10.1785/0119990080