In the present study, we took advantage of the PM10 (≤ 10 μm in aerodynamic diameter) speciation data that have been available for over a decade to identify contributing sources to PM10 mass using a source apportionment model and then used those data to estimate the acute effects of PM10 sources on daily emergency IHD hospital admissions.
A current voltage curve was obtained using a source measure unit (model 2400, Keithley Instruments Inc., Cleveland, OH, USA) under the illumination of a solar simulator with air mass 1.5 global (AM 1.5 G) filters at 100 mW/cm2.
Individual models meeting the fitting criteria were grand averaged and used as a source model, or SSP "virtual sensor", used to derive the time course of auditory activity following odd-ball stimuli for each subject.
A characterized source model (Irikura and Miyake, 2001) has recently been used as a source model for strong groundmotion prediction for scenario earthquakes (e.g., Iwata and Miyake, 2004; the Headquarters for Earthquake Research Promotion, 2005).
Duplication of previous work appears to be common, with 49% of mapping models using a source instrument that had been evaluated in a previous mapping study, although some duplication may be appropriate if the relationship between instruments differs between disease areas or if the new study uses superior methods or data.
We used a source fault model of GSI (2016b) and then resolved ΔCFF on NW-trending normal faults and NW-trending reverse faults (Fig. 8c, d).
The dynamic soil response is calculated for each node of the grid by means of a 1D nonlinear analysis (lineal equivalent) based on a set of Fourier spectra generated at bedrock level that uses a source spectrum model for different combinations of moment magnitude and focal distances.
These potential sources of error will be unavoidable when using a general source model with fixed parameters.
The simulated ground temperature was calibrated using a cylindrical source model by adjusting the grid spacing and adopting a load factor of 1.047 in the difference equation.
Furthermore, we simulated the ground motions of this earthquake using a characterized source model consisting of strong motion generation areas (SMGAs) based on the empirical Green's function (EGF) method.
