Yogi, Wiratomo and Diyan, Parwatiningtyas and Dwi, Marlina and Erlin, Windia (2014) APPLICATION OF FOURIER SERIES IN MICROTREMOR ANALYSIS, CASE STUDY ON DISASTER RISK MANAGEMENT WORTH MINING REGION IN BLITAR DISTRICTS, EAST JAVA. Proceeding of International Conference On Research, Implementation And Education Of Mathematics And Sciences 2014. (Submitted)
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Abstract
Mining activities can alter Earth's surface layer that has a high impact on disaster risk. Disaster risk in the mine area can be determined by using the method of calculation Amplification Factor (AF) based on interpretation of microtremor analysis Kanai and Nakamura. Fourier Spectrum analysis is used to obtain a frequency distribution curve of the magnitude to obtain the dominant frequency and dominant period. Tremor data processing using Fast Fourier Transform (FFT), the process of transformation of form time domain to the frequency domain in order to obtain the Fourier spectrum of each component. This spectrum can be determined from the analysis of spectral ratio (SR) which is the amplification factor (AF) based on interpretation Nakamura, and the predominant period (T dom) based interpretation Kanai. Based on the results obtained amplification factor, can be obtained by interpretation of the existence of the condition of the surface layer of soil instability
| Item Type: | Article |
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| Uncontrolled Keywords: | Fourier series; Fourier spectrum; analysis of microtremor |
| Subjects: | Prosiding > ICRIEMS 2014 > MATHEMATICS & MATHEMATICS EDUCATION |
| Divisions: | Fakultas Matematika dan Ilmu Pengetahuan Alam (FMIPA) > Pendidikan Matematika > Matematika |
| Depositing User: | Eprints |
| Date Deposited: | 07 Nov 2014 04:28 |
| Last Modified: | 07 Nov 2014 04:28 |
| URI: | http://eprints.uny.ac.id/id/eprint/11514 |
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